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Academic literature on the topic 'Joints – Range of motion – Measurement'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Joints – Range of motion – Measurement"

Okeke, H. "Comparison of goniometric measurement reliability of hip joint flexion and proximal interphalangeal joint flexion in healthy adults." South African Journal of Physiotherapy 55, no. 4 (November 30, 1999): 24–28. http://dx.doi.org/10.4102/sajp.v55i4.578.

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Background For many reasons’ physiotherapists measure joint range of motion of their patients. There are usually variations in measurement values of each motion when measured either by the same person or by different observers. Also, reliability studies have resulted in varying levels of reliability coefficients. The purpose of this study was to compare the goniometric measurement reliability of a complex joint represented by the hip joint and a simple joint represented by proximal interphalangeal (PIP) flexion motions and to assess whether the two joint motions could be equally reliably measured by the same person under the same test and retest conditions. Method Thirty-three healthy subjects between the ages of 23 and 34 years participated. In order to assess the repeatability of measurements in the two selected joint motions, the r. level of each joint measurement was determined and their goniometric measurement reliability compared. Result Results were based on data collected by measuring the flexion range of motion of right hips and right middle finger PIP joints in normal adults. Statistical analyses indicated that there were significant differences between goniometric measurement reliability in hip and PIP flexion motions. Conclusion Two joints were goniometrically measured by the same tester under the same test condition. Reliability measurements results were compared in thirty-three adults. Based on the study, the researcher concluded that the goniometric measurement of hip flexion motion is more variable than that of PIP flexion motion.

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Tang, Gang, Hong Jiang Yang, Dao Fang Chang, Dong Mei Wang, and Gao Feng Wei. "Human Kinematic Characteristics during Stair Descent." Applied Mechanics and Materials 155-156 (February 2012): 545–49. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.545.

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To design and manufacture better artificial joints, it is necessary to obtain the motion range of lower limb statistically. General Staircase as an experimental device had been designed; motion capture system and plantar force measurement system were used to establish a systematic measurement method during stairs descent. The variation and range of hip, knee and ankle joints of 40 samples along different directions in a cycle have been calculated. During stair decent, motion range of hip, knee and ankle joints reach maximum in the sagittal plane and are larger comparing to joint motion range in walking and jogging.

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Kirstukas, S. J., J. L. Lewis, and A. G. Erdman. "6R Instrumented Spatial Linkages for Anatomical Joint Motion Measurement—Part 1: Design." Journal of Biomechanical Engineering 114, no. 1 (February 1, 1992): 92–100. http://dx.doi.org/10.1115/1.2895455.

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Six-revolute-joint instrumented spatial linkages (6R ISLs) have become often-used devices to measure the complete six-degree-of-freedom motion of anatomical joints. Accuracy of motion measurement depends on ISL design and calibration technique. In this paper, a design process is outlined that uses computer graphics and numerical methods as aids in developing 6R ISLs that (i) physically assemble within the desired range of motion of the joint; (ii) do not collide with either the experimental apparatus or the subject joint; (iii) avoid singular linkage configurations that can cause forces to be applied to the joint; and (iv) measure selected anatomical motions most accurately. It is found that a certain subgroup of 6R linkages are suitable for accurate measurement of specific motions, and can be the basis for new ISL designs. General guidelines are developed that can assist in the generation of unique linkage designs for different anatomical joints. The design process is demonstrated in the creation of an ISL to measure knee motion.

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Zhao, John Z., Philip E. Blazar, Ariana N. Mora, and Brandon E. Earp. "Range of Motion Measurements of the Fingers Via Smartphone Photography." HAND 15, no. 5 (January 28, 2019): 679–85. http://dx.doi.org/10.1177/1558944718820955.

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Background: Range of motion (ROM) measurements of the fingers are frequently obtained during hand physical examinations. While traditionally measured by manual goniometry, smartphone photography introduces an alternative method of ROM measurement that also has potential telemedicine applications. The purpose of this study was to evaluate the reliability of smartphone photography measurements as an alternative to traditional goniometry, using the patient with Dupuytren disease as a model. Methods: Patients with a confirmed Dupuytren contracture were prospectively enrolled in this study. Range of motion measurements of the affected joints were obtained prior to any invasive treatments. Two sets of photographs were taken by both a clinical staff member and a nonclinical individual unaffiliated with the study. Both sets of photos were analyzed for degree of contracture via software analysis and compared against traditional goniometer measurements. Results: The study prospectively enrolled 50 consecutive patients with Dupuytren disease, comprising 123 affected joints. The mean contractures of all affected joints as measured by manual goniometry, trained photograph goniometry, and untrained photograph goniometry were 38.5, 35.3, and 35.5, respectively. The mean difference in contracture measurement was 3.2° between manual and trained photograph goniometry and 3.0° between manual and untrained photograph goniometry. There was no statistically significant difference between trained and untrained photo set measurements. Photograph measurements between separate raters demonstrated high consistency (intraclass correlation coefficient = 0.92). Conclusions: Smartphone photography provides contracture measurements equivalent to the accepted error of a finger goniometer (3.2° compared with 5°). The accuracy of smartphone photography in measuring contractures offers potential telemedicine applications for both clinical and research needs.

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Bain, G. I., N. Polites, B. G. Higgs, R. J. Heptinstall, and A. M. McGrath. "The functional range of motion of the finger joints." Journal of Hand Surgery (European Volume) 40, no. 4 (May 23, 2014): 406–11. http://dx.doi.org/10.1177/1753193414533754.

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The purpose of this study was to measure the functional range of motion of the finger joints needed to perform activities of daily living. Using the Sollerman hand grip function test, 20 activities were assessed in ten volunteers. The active and passive range of motion was measured with a computerized electric goniometer. The position of each finger joint was evaluated in the pre-grasp and grasp positions. The functional range of motion was defined as the range required to perform 90% of the activities, utilizing the pre-grasp and grasp measurements. The functional range of motion was 19°–71°, 23°–87°, and 10°–64° at the metacarpophalangeal, proximal interphalangeal, and distal interphalangeal joints, respectively. This represents 48%, 59%, and 60% of the active motion of these joints, respectively. There was a significant difference in the functional range of motion between the joints of the fingers, with the ulnar digits having greater active and functional range. The functional range of motion is important for directing indications for surgery and rehabilitation, and assessing outcome of treatment.

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Indrayana, Tavip, Warijan Warijan, and Joni Siswanto. "Pengaruh Range of Motion (ROM) Aktif Terhadap Fleksibilitas Sendi Lutut Pada Lanjut Usia." Jurnal Studi Keperawatan 1, no. 1 (March 13, 2020): 13–16. http://dx.doi.org/10.31983/j-sikep.v1i1.5646.

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ABSTRACTBackground : Joint flexibility decreases in old age due to a degenerative process resulting in changes in joints, connective tissue and cartilage in the elderly. Decreasing flexibility is also due to reduced elasticity of muscle fibers, where connective tissue in muscle fibers increases (Mariyam, 2008).Objective : The aim of this study was to analyze the effect of active exercise (ROM) on the lower extremities on increasing the flexibility of the knee joint in the elderlyMethods : This study using a quasi-experimental approach with One group pre-test and post-test design. The sampling technique uses the Slovin method of 42 people, obtained a sample of 25 elderly. Exercise is done twice a day for 8 days. Measurements were made on day 1, day 4 and day 8 of the study using a Goniometer measuring instrument..Result : The results of measurement I average of the right knee joint 117.52o, measurement II = 122.24, measurement III = 126, 36o. From the analysis with Paired simple t-Test between the measurements I and II, it was found that the different test measurements I and II t count value was equal to -1.908 with 0.068. Because sig 0.05, it can be concluded that Ho is accepted, meaning that the average angle of ROM before and after training is the same (not different). In the different test measurements II and III the value of t count is equal to -2.152 with sig 0.042.Conclusion : Because sig 0.05, it can be concluded that Ho is rejected, meaning that there is a difference in ROM angle after training between days 4 to 8 with the first day to day 4. Thus it can be stated that active ROM exercises affect the angle of ROM of the knee joint elderly after exercise ROM between day 4 to day 8. Keywords: active ROM exercise, flexibility of knee joint, elderly.

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Medina-Mirapeix, Francesc, Rodrigo Martín-San Agustín, Germán Cánovas-Ambit, José A. García-Vidal, Mariano Gacto-Sánchez, and Pilar Escolar-Reina. "An Optoelectronic System for Measuring the Range of Motion in Healthy Volunteers: A Cross-Sectional Study." Medicina 55, no. 9 (August 22, 2019): 516. http://dx.doi.org/10.3390/medicina55090516.

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Background and Objectives: Within the clinical evaluation of multiple pathologies of the lower limb, the measurement of range of motion (ROM) of its joints is fundamental. To this end, there are various tools, from the goniometer as a reference to more recent devices such as inclinometry-based applications, photo capture applications, or motion capture systems. This study aimed to assess the validity, intra-rater, and inter-rater reliability of the VeloFlex system (VS), which is a new camera-based tool designed for tracking joint trajectories and measuring joint ROM. Materials and Methods: Thirty-five healthy volunteers (16 females; aged 18–61 years) participated in this study. All participants were assessed on two separate occasions, one week apart. During the first assessment session, measurements were obtained using a goniometer and the VS, whereas, in the second session, only the VS was used. In each assessment session, nine active movements were examined. For each movement, three trials were tested, and the mean of these three measures was used for analysis. To evaluate the concurrent validity and agreement, the Pearson correlation coefficient (r) and Bland-Altmann plots were used. Intra-rater and inter-rater reliability were evaluated using intra-class correlation (ICC), standard error of measurement (SEM), and minimal detectable change (MDC). Results: Both devices showed excellent correlations for all movements (r ranged from 0.992 to 0.999). The intra-rater reliability of the VS was excellent (ICC ranged from 0.93 to 0.99), SEMs ranged from 0.53% to 2.61% and the MDC ranged from 0.68° to 3.26°. The inter-rater reliability of the VS was also excellent (ICC ranged from 0.88 to 0.98), SEMs ranged from 0.81% to 4.76% and the MDC ranged from 2.27° to 4.42°. Conclusions: The VS is a valid and reliable tool for the measurement of ROM of lower limb joints in healthy subjects.

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García-Rubio, Javier, José Pino, Pedro R. Olivares, and Sergio J. Ibáñez. "Validity and Reliability of the WIMUTM Inertial Device for the Assessment of Joint Angulations." International Journal of Environmental Research and Public Health 17, no. 1 (December 27, 2019): 193. http://dx.doi.org/10.3390/ijerph17010193.

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Range of motion measurement is fundamental in the physical examination and functional evaluation of different joints. WIMUTM is an inertial device that allows the analysis of joint motion easily in real time. This study had a two-fold goal: (i) to evaluate the validity of WIMUTM on the measurement of different angle positions, compared with a standard goniometer and 2D video-based motion analysis software; and (ii) to evaluate the use of WIMUTM in the assessment of angulations in a joint, specifically assessing the validity and reliability of WIMUTM on the measurement of ankle dorsiflexion, compared to a standard goniometer and Kinovea. The intraclass correlation coefficient and Pearson´s correlation coefficient (r) were performed to calculate the concurrent validity, and Bland-Altman plots were performed to analyze agreement between measures. For the analysis of reliability, both relative and absolute indices were used. The results showed excellent validity and reliability of WIMUTM in the assessment of angle positions and ankle dorsiflexion. The current findings conclude that WIMUTM is a valid and reliable instrument to measure angle and joint motions. In short, WIMUTM provides a new clinical and sportive method of angle measurement.

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Wa’ie Hazman, Muhammad Ajwad, Ili Najaa Aimi Mohd Nordin, Faridah Hanim Mohd Noh, Nurulaqilla Khamis, M. R. M. Razif, Ahmad Athif Faudzi, and Asyikin Sasha Mohd Hanif. "IMU sensor-based data glove for finger joint measurement." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (October 1, 2020): 82. http://dx.doi.org/10.11591/ijeecs.v20.i1.pp82-88.

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<p>The methods used to quantify finger range of motion significantly influence how hand disability is reported. To date, the accuracy of sensors being utilized in data gloves from the literature has been ascertained yet need further analysis. This paper presents an inertial measurement unit sensor-based data glove for finger joint measurement developed for collecting a range of motion data of distal interphalangeal, proximal interphalangeal and metacarpophalangeal finger joints of an index finger. In this study, three inertial measurement sensors, MPU-6050 and two flexible bend sensors which are capable to detect angle displacement were attached to the distal interphalangeal, proximal interphalangeal and metacarpophalangeal finger joint points on the glove. The data taken from inertial measurement unit sensors and flexible bend sensors were acquired using Arduino and MATLAB software interface. The data obtained were compared with the reference data measured from goniometer to allow for accurate comparative measurement. The percentage of error resulted from MPU-6050 sensor unit were ranged from 0.81 % to 5.41 % were very low which indicates high accuracy when compared with the measurements obtained using goniometer. On the other hand, flexible bend sensor shows low accuracy (11.11 % to 19.35 % error). In conclusion, the inertial measurement unit sensor-based data glove using MPU-6050 sensors can be a reliable solution for tracking the progress of finger rehabilitation exercises. In order to motivate patients to adhere to the therapy exercises, interactive rehabilitation game will be developed in the future incorporating MPU-6050 sensors on all five fingers.</p>

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Kim, Hogene, Sangwoo Cho, and Hwiyoung Lee. "Reliability of Bi-Axial Ankle Stiffness Measurement in Older Adults." Sensors 21, no. 4 (February 7, 2021): 1162. http://dx.doi.org/10.3390/s21041162.

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This study involves measurements of bi-axial ankle stiffness in older adults, where the ankle joint is passively moved along the talocrural and subtalar joints using a custom ankle movement trainer. A total of 15 elderly individuals participated in test–retest reliability measurements of bi-axial ankle stiffness at exactly one-week intervals for validation of the angular displacement in the device. The ankle’s range of motion was also compared, along with its stiffness. The kinematic measurements significantly corresponded to results from a marker-based motion capture system (dorsi-/plantar flexion: r = 0.996; inversion/eversion: r = 0.985). Bi-axial ankle stiffness measurements showed significant intra-class correlations (ICCs) between the two visits for all ankle movements at slower (2.14°/s, ICC = 0.712) and faster (9.77°/s, ICC = 0.879) speeds. Stiffness measurements along the talocrural joint were thus shown to have significant negative correlation with active ankle range of motion (r = −0.631, p = 0.012). The ankle movement trainer, based on anatomical characteristics, was thus used to demonstrate valid and reliable bi-axial ankle stiffness measurements for movements along the talocrural and subtalar joint axes. Reliable measurements of ankle stiffness may help clinicians and researchers when designing and fabricating ankle-foot orthosis for people with upper-motor neuron disorders, such as stroke.

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Dissertations / Theses on the topic "Joints – Range of motion – Measurement"

Ben-Naser, Abdusalam. "Measurement of range of motion of human finger joints, using a computer vision system." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/12531.

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Assessment of finger range of motion (ROM) is often required for monitoring the effectiveness of rehabilitative treatments and for evaluating patients' functional impairment. There are several devices which are used to measure this motion, such as wire tracing, tracing onto paper and mechanical and electronic goniometry. These devices are quite cheap, excluding electronic goniometry; however the drawbacks of these devices are their lack of accuracy and the time- consuming nature of the measurement process. The work described in this thesis considers the design, implementation and validation of a new medical measurement system utilized in the evaluation of the range of motion of the human finger joints instead of the current measurement tools. The proposed system is a non-contact measurement device based on computer vision technology and has many advantages over the existing measurement devices. In terms of accuracy, better results are achieved by this system, it can be operated by semi-skilled person, and is time saving for the evaluator. The computer vision system in this study consists of CCD cameras to capture the images, a frame-grabber to change the analogue signal from the cameras to digital signals which can be manipulated by a computer, Ultra Violet light (UV) to illuminate the measurement space, software to process the images and perform the required computation, a darkened enclosure to accommodate the cameras and UV light and to shield the working area from any undesirable ambient light. Two calibration techniques were used to calibrate the cameras, Direct Linear Transformation and Tsai. A calibration piece that suits this application was designed and manufactured. A steel hand model was used to measure the fingers joint angles. The average error from measuring the finger angles using this system was around 1 degree compared with 5 degrees for the existing used techniques.

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Ioppolo, James. "Kinematic joint measurements using radiostereometric analysis (RSA) and single-plane x-ray video fluoroscopy." University of Western Australia. Orthopaedics Unit, 2006. http://theses.library.uwa.edu.au/adt-WU2006.0090.

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[Truncated abstract] Measuring the kinematics of joints and implants following orthopaedic surgery is important since joint motion directly influences the functional outcome of the patient and the longevity of the implant. Radiostereometric Analysis (RSA) has been used to assess the motion over time of various joints and implant designs following corrective orthopaedic and joint replacement surgery for more than 20 years in more than 10,000 patients around the world. While the use of RSA reduces the risk of implanting potentially inferior prostheses on a large scale, conventional methodological procedures are based on the acquisition of static, stereographic x-ray images that are not suitable for measuring skeletal kinematics in a dynamic manner. The purpose of this thesis was to design, validate and test a novel technique for dynamically assessing the skeletal motion of human subjects using RSA and single-plane digital x-ray video fluoroscopy. The validation procedure utilised two in-vitro phantom models of human joints capable of simulating normal kinematic motion. These phantom models were supplied with realistic spatial displacement protocols derived from cadaveric specimens. The spatial positions of a series of tantalum markers that were implanted in each skeletal segment were measured using RSA. Skeletal motion was determined in x-ray fluoroscopy images by minimising the difference between the markers measured and projected in the single image plane. Accuracy was determined in terms of bias and precision by analysing the deviation between the applied displacement protocol and measured pose estimates. ... The RSA and low dose single-plane fluoroscopy technique developed, validated and tested in this thesis is capable of dynamically measuring the kinematics of any joint in the human body, following the implantation of small metallic markers in the surrounding bone during corrective orthopaedic surgery. The kinematics of joints with replacement prostheses, such as the total knee replacement (TKR), can be analysed in addition to the kinematics of joints without replacement prostheses, such as the sacroiliac joint. The technique may be used in the future on groups of human subjects enrolled in controlled trials that are designed to analyse the kinematics of the shoulder, spine, hip, knee, patella or ankle joints for the purposes of quantitatively comparing the kinematics of different prosthesis designs and various corrective orthopaedic procedures.

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Langford, Nancy Jane. "The Relationship of the Sit and Reach Test to Criterion Measures of Hamstring and Back Flexibility in Adult Males and Females." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc501137/.

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The purpose of this study was to examine the criterion-related validity of the sit and reach test as a measure of hamstring and low back flexibility in adult males and females. Subjects were 52 males and 52 females, 20 to 45 years of age. Hamstring flexibility was measured using a goniometer. Spinal flexibility was measured using a tape measure and an inclinometer. The sit and reach test was performed according to the AAHPERD Health Related Fitness Test Manual. Data were analyzed using correlations and appropriate descriptive statistics. Conclusions of the investigation were: 1) in adult males 20 to 45, the sit and reach test is a valid measure of hamstring flexibility but has questionable validity as a measure of low back flexibility, 2) in adult females 20 to 45, the sit and reach test is a moderately valid measure of hamstring flexibility and is not a valid measure of low back flexibility.

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Campbell, Amity. "Identification of the glenohumeral joint rotation centre : an MRI validation study." University of Western Australia. School of Sport Science, Exercise and Health, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0208.

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[Truncated abstract] Normal and pathological upper limb movement assessments rely on the valid and reliable identification of the glenohumeral joint centre of rotation (GHJ). However, clarifying the most suitable techniques to identify and reference this location has proved a challenge, and performing a variety of methods that lack validation is commonplace. This may not only be erroneous, but also prevents the standardised collection of upper limb biomechanical information. The principle aim of this research was to clarify the accuracy and reliability of various methods of GHJ identification, including both predictive and functional techniques, as well as the error associated with referencing the GHJ location during dynamic movement trials. Predictive methods of GHJ identification rely on a generic relationship between the GHJ position and predetermined anatomical distances or locations. The ISB recommended predictive method was developed and validated using cadavers, and it appears that a number of convenient, yet to be validated methods are routinely performed in preference of this recommended technique. In the present study, magnetic resonance imaging (MRI) was utilised to validate, in vivo, the accuracy of various predictive approaches; the ISB recommended method and a representative sample of commonly used techniques. A new multiple linear regression model and simple 3D offset method, were developed from the MRI identified locations of the GHJ and the surface markers. The results indicated that the new multiple linear regression model (13 ±4.6) mm and simple 3D offset (12 ±4.6 mm) found an average GHJ location closer to the MRI determined location than any of the established predictive methods (14-50 mm), including the ISB recommended method (32 ±8.2 mm), and a recently publicised amended 2nd version (16 ±8.4 mm). ... For instance when the optimal algorithm (geometric sphere fit), marker set and movement trial were used in the functional approach, average in vivo accuracy errors of 27 ±8.6 mm were reported, around half the error reported by the most accurate and reliable predictive method (13 ±4.6 mm). A further investigation aimed to determine the most suitable location to reference the GHJ during dynamic motion analysis trials. The GHJ was referenced in a number of upper arm and acromion technical coordinate systems (TCSs) in a series of static MRIs. This permitted the error associated with each set of markers to be calculated in vivo. The results indicated that a combination of TCSs defined from two sets of markers; one placed on the acromial plateau and one located proximally on the upper arm, produced the most accurate results, recording an average of 18 ±4 mm of error following a large humeral elevation (up to 180°). Furthermore, a distal upper arm set of markers proved to be inappropriate for GHJ referencing, reporting average errors greater than 30 cm in two large humeral elevations. Therefore, following the identification of the GHJ, its 3D location should be referenced in the average of two TCSs determined from respective sets of markers placed on the acromion and proximal upper arm, during dynamic trials.

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Turqueti, Carlos Augusto D'Orazio. "Desenvolvimento de um goniômetro indutivo com bobinas ortogonais para aplicações biomédicas." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2983.

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Esta dissertação descreve o desenvolvimento de um goniômetro de enlace indutivo para medição de ângulos articulares. O goniômetro tem por objetivo medições de ângulos até 360° e a possibilidade de medição em articulações com mais de um grau de liberdade. Para isto utiliza como base o trabalho de Laskoski (2010) e os sistemas de navegação aeronáuticas. O experimento realizado por Laskoski (2010) efetua medições até 180° as bobinas precisam estar alinhadas. Os sistemas utilizados em navegações aeronáuticas utilizam a bússola eletrônica e o automatic direction finder, estes sistemas trabalham com grandezas na ordem de quilômetros. Este experimento visa adaptar os sistemas de navegação utilizando o campo magnético para poder efetuar medições de ângulo em pequenas distâncias. Os testes foram satisfatórios comparando os erros encontrados com os resultados dos experimentos de Laskoski (2010) e Carbonaro et al. (2014). O erro máximo em uma distância de 7,5 cm é de 10,6°e o desalinhamento entre a bobinas de +20° e -20° gera um erro de no máximo 1,71°.
This dissertation describes the development of an inductive goniometer for the measurement of joint angle. The goniometer aims to measure angles up to 360 ° and the possibility of measurement in joints with more than one degree of freedom. For this it uses as base the work of Laskoski (2010) and aeronautical navigation systems. The experiment performed by Laskoski (2010) makes measurements up to 180 ° and the coils need to be aligned. The systems used in aeronautical navigations use the electronic compass and the automatic direction finder, that systems work with magnitudes in the order of kilometers. This experiment aims to adapt the navigation systems using the magnetic field to be able to measure angles at small distances. The tests were satisfactory comparing the errors found with the results of the experiments of Laskoski (2010) and Carbonaro et al. (2014). The maximum error over a distance of 7.5 cm is 10.6 ° and the misalignment between the coils of + 20 ° and -20 ° generates an error of at most 1.71 °.

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Dashottar, Amitabh. "Posterior Shoulder Tightness Measurements: Differentiating Capsule, Muscle and Bone." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337880690.

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Rothwell, Brigitte. "The effect of casting motion to mobilize stiffness on proximal interphalangeal joint motion and stiffness dissertation [thesis] submitted in partial fulfilment of the requirements for the degree of Master of Health Science, Auckland University of Technology, June 2004." Full thesis. Abstract, 2004. http://puka2.aut.ac.nz/ait/theses/RothwellB.pdf.

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Karst, Gregory Mark. "Multijoint arm movements: Predictions and observations regarding initial muscle activity at the shoulder and elbow." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184920.

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Understanding the control strategies that underlie multijoint limb movements is important to researchers in motor control, robotics, and medicine. Due to dynamic interactions between limb segments, choosing appropriate muscle activations for initiating multijoint arm movements is a complex problem, and the rules by which the nervous system makes such choices are not yet understood. The aim of the dissertation studies was to evaluate some proposed initiation rules based on their ability to correctly predict which shoulder and elbow muscles initiated planar, two-joint arm movements in various directions. Kinematic and electromyographic data were collected from thirteen subjects during pointing movements involving shoulder and elbow rotations in the horizontal plane. One of the rules tested, which is based on statics, predicted that the initial muscle activity at each joint is chosen such that the hand exerts an initial force in the direction of the target, while another rule, based on dynamics, predicted initial muscle activity such that the initial acceleration of the hand is directed toward the target. For both rules, the data contradict the predicted initial shoulder muscle activity for certain movement directions. Moreover, the effects of added inertial loads predicted by the latter rule were not observed when a 1.8 kg mass was added to the limb. The results indicated, however, that empirically derived rules, based on ψ, the target direction relative to the distal segment, could predict which muscles would be chosen to initiate movement in a given direction. Furthermore, the relative timing and magnitude of initial muscle activity at the shoulder and elbow varied systematically with ψ. Thus, the target direction relative to the forearm may be an important variable in determining initial muscle activations for multijoint arm movements. These findings suggest a control scheme for movement initiation in which simple rules suffice to launch the hand in the approximate direction of the target by first specifying a basic motor output pattern, then modulating the relative timing and magnitude of that pattern.

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Grambo, Laura B. "Heavy elastic vs. white tape : the effect of ankle taping on ankle range of motion /." Online version, 2010. http://content.wwu.edu/cdm4/item_viewer.php?CISOROOT=/theses&CISOPTR=340&CISOBOX=1&REC=5.

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Hallbeck, M. Susan. "Biomechanical analysis of carpal flexion and extension." Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/26086.

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An experiment was performed to evaluate the relations between active range of motion (ROM) and upper limb anthropometric dimensions. Eight anthropometric dimensions, forearm length, distal and proximal forearm circumferences, wrist breadth, wrist thickness, wrist circumference, hand breadth, and hand length in combination with gender, wrist position, and direction of motion or exertion were evaluated to determine their effects on instant center of rotation (ICOR) and the magnitude of force exertion. The knowledge gained from analysis of the study data will be the first step in the formulation of a biomechanical model of wrist flexion and extension. Such a model would predict forces and torques at specific wrist postures and be employed to reduce cumulative trauma disorders of the wrist. Sixty right-hand dominant subjects (30 male, 30 female) between 20 and 30 years of age all reporting no prior wrist injury and good to excellent overall physical condition, were employed in this study. The upper limb anthropometric dimensions and ROM were measured and recorded for each subject. The anthropometric dimensions were compared to tabulated data. The measured active ROM values were compared with values in the literature. Correlation coefficients between pairs of anthropometric variables (by gender) were calculated. The mean active ROM measures, 164.0 deg for females and 151.8 deg for males, were significantly different (Z = 2.193, p = 0.014). The relationships between the anthropometric variables and active ROM were analyzed by three methods: correlation between ROM and each anthropometric dimension, prediction (regression) equations, and analysis of variance (ANOVA). No correlation coefficient between ROM and any anthropometric dimension was greater than 0.7. No prediction equation, based upon linear and quadratic combinations of anthropometric dimensions variables, was above the threshold of acceptability (R² ≥ 0.5). The results of the ANOVA showed a significant effect for gender. The ICOR had been hypothesized to be either in the head or neck of the capitate. The Method of Reuleaux was employed to locate the leOR points for flexion and extension (over the ROM) of the wrist with three load conditions, i.e., no-load, palmar resistance, and dorsal resistance. Analysis of the data, using ANOYA, showed that wrist position was the only significant variable. Thus, in future wrist models, the assumption cannot be made that the wrist is a pin-centered joint for flexion and extension. The static maximal voluntary contractile forces that can be generated by recruiting only the six wrist-dedicated muscles in various wrist positions were measured. There was a significant gender difference for the mean flexion force (Z = 4.00, p = 0.0001) and for the mean extension force (Z = 4.58, p = 0.0001). Females averaged 76.3 percent of the mean male flexion force and 72.4 percent for extension. The force data, categorized by gender, were then analyzed using three methods: correlation of variable pairs, regression equations, and ANOVA. None of the eight anthropometric dimensions and ROM was correlated with flexion or with extension force at an acceptable level. The prediction equations, linear and quadratic combinations of all possible subsets of anthropometric dimension values, ROM, and wrist position did not meet the minimum acceptable level of R² ≥ 0.5. The ANOVA procedure showed gender, wrist position, direction of force exertion, and the wrist position interaction with direction to have significant effects upon maximal force exertion.
Ph. D.

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Books on the topic "Joints – Range of motion – Measurement"

Soames, Roger W. Joint motion: Clinical measurement and evaluationn. London: Churchill Livingstone, 2003.

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Soames, Roger W. Joint motion: Clinical measurement and evaluation. Edinburgh: Churchill Livingstone, 2003.

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Gerhardt, John J. Documentation of joint motion: International standard neutral-zero-measuring S.F.T.R. recording and application of the plurimeter. Aloha, OR: OMEDIC, 1988.

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Gerhardt, John J. Documentation of joint motion: International standard neutral-zero-measuring, S.F.T.R recording and application of goniometers, inclinometers, and calipers. 3rd ed. Portland, Or., USA: ISOMED, 1992.

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Joyce, White D., ed. Measurement of joint motion: A guide to goniometry. Philadelphia: Davis, 1985.

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Joyce, White D., ed. Measurement of joint motion: A guide to goniometry. 3rd ed. Philadelphia: F.A. Davis, 2003.

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Joyce, White D., ed. Measurement of joint motion: A guide to goniometry. 4th ed. Philadelphia: F.A. Davis, 2009.

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Joyce, White D., ed. Measurement of joint motion: A guide to goniometry. 2nd ed. Philadelphia: F.A. Davis, 1995.

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Ryf, Christian. Range of motion: AO Neutral-0 Method : measurement and documentation = AO Neutral-0 Methode : messung und dokumentation. Stuttgart: Thieme, 1999.

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D, Bandy William, and Yates Charlotte, eds. Joint range of motion and muscle length testing. 2nd ed. St. Louis: Saunders/Elsevier, 2010.

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Book chapters on the topic "Joints – Range of motion – Measurement"

Zhou, Qianxiang, Yu Jin, and Zhongqi Liu. "The Measurement and Analysis of Chinese Adults’ Range of Motion Joint." In Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body, Motion and Behavior, 163–77. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77817-0_14.

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Lian, E., J. Hachadorian, Ngo Thanh Hoan, and Vo Van Toi. "A Novel Electronic Cervical Range of Motion Measurement System." In IFMBE Proceedings, 140–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12020-6_34.

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Hachadorian, J., A. Lugo, E. Lian, Truong Quang Dang Khoa, and Vo Van Toi. "Measurement of the Range of Neck Motion: A Comparative Study." In IFMBE Proceedings, 144–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12020-6_35.

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Liu, Zhongqi, Xiaocong Niu, and Qianxiang Zhou. "Comfort Evaluation of the Range of Motion of Human Upper Limb Joints." In Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health, 167–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49904-4_13.

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Masuta, Noriko, Makoto Yagihashi, Hirohisa Narita, and Hideo Fujimoto. "A Non-invasive Method to Measure Joint Range of Motion for Hip Joints." In Service Robotics and Mechatronics, 27–32. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-694-6_5.

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Taniguchi, Hironari, Noriko Tsutsui, and Yoshiaki Takano. "Feasibility Test of Range of Motion Exercises for Ankle Joints Rehabilitation Using Pneumatic Soft Actuators." In Lecture Notes in Electrical Engineering, 159–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17314-6_21.

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Miyata, Natsuki, Yuya Yoneoka, and Yusuke Maeda. "Modeling the Range of Motion and the Degree of Posture Discomfort of the Thumb Joints." In Advances in Intelligent Systems and Computing, 324–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96077-7_34.

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Kim, Dong-Yeon, Sung-Wook Shin, Se-Jin Goo, and Sung-Taek Chung. "Measurement of Motion Range to Improve of Body Balance and Its Training Contents." In HCI International 2018 – Posters' Extended Abstracts, 469–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92285-0_64.

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Woo, Changgon, and Changhoon Park. "A Computerized Measurement of CROM (Cervical Range of Motion) by Using Smartphone Based HMD (Head Mounted Display)." In HCI International 2016 – Posters' Extended Abstracts, 531–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40548-3_88.

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Scano, Alessandro, Marco Caimmi, Andrea Chiavenna, Matteo Malosio, and Lorenzo Molinari Tosatti. "A Kinect-Based Biomechanical Assessment of Neurological Patients' Motor Performances for Domestic Rehabilitation." In Advances in Medical Technologies and Clinical Practice, 252–79. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9740-9.ch013.

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Stroke is one of the main causes of disability in Western countries. Damaged brain areas are not able to provide the fine-tuned muscular control typical of human upper-limbs, resulting in many symptoms that affect consistently patients' daily-life activities. Neurological rehabilitation is a multifactorial process that aims at partially restoring the functional properties of the impaired limbs, taking advantage of neuroplasticity, i.e. the capability of re-aggregating neural networks in order to repair and substitute the damaged neural circuits. Recently, many virtual reality-based, robotic and exoskeleton approaches have been developed to exploit neuroplasticity and help conventional therapies in clinic. The effectiveness of such methods is only partly demonstrated. Patients' performances and clinical courses are assessed via a variety of complex and expensive sensors and time-consuming techniques: motion capture systems, EMG, EEG, MRI, interaction forces with the devices, clinical scales. Evidences show that benefits are proportional to treatment duration and intensity. Clinics can provide intensive assistance just for a limited amount of time. Thus, in order to preserve the benefits and increase them in time, the rehabilitative process should be continued at home. Simplicity, easiness of use, affordability, reliability and capability of storing logs of the rehabilitative sessions are the most important requirements in developing devices to allow and facilitate domestic rehabilitation. Tracking systems are the primary sources of information to assess patients' motor performances. While expensive and sophisticated techniques can investigate neuroplasticity, neural activation (fMRI) and muscle stimulation patterns (EMG), the kinematic assessment is fundamental to provide basic but essential quantitative evaluations as range of motion, motor control quality and measurements of motion abilities. Microsoft Kinect and Kinect One are programmable and affordable tracking sensors enabling the measurement of the positions of human articular centers. They are widely used in rehabilitation, mainly for interacting with virtual environments and videogames, or training motor primitives and single joints. In this paper, the authors propose a novel use of the Kinect and Kinect One sensors in a medical protocol specifically developed to assess the motor control quality of neurologically impaired people. It is based on the evaluation of clinically meaningful synthetic performance indexes, derived from previously developed experiences in upper-limb robotic treatments. The protocol provides evaluations taking into account kinematics (articular clinical angles, velocities, accelerations), dynamics (shoulder torque and shoulder effort index), motor and postural control quantities (normalized jerk of the wrist, coefficient of periodicity, center of mass displacement). The Kinect-based platform performance evaluation was off-line compared with the measurements obtained with a marker-based motion tracking system during the execution of reaching tasks against gravity. Preliminary results based on the Kinect sensor suggest its efficacy in clustering healthy subjects and patients according to their motor performances, despite the less sensibility in respect to the marker-based system used for comparison. A software library to evaluate motor performances has been developed by the authors, implemented in different programming languages and is available for on-line use during training/evaluation sessions (Figure 1). The Kinect sensor coupled with the developed computational library is proposed as an assessment technology during domestic rehabilitation therapies with on-line feedback, enabled by an application featuring tracking, graphical representation and data logging. An experimental campaign is under development on post-stroke patients with the Kinect-One sensor. Preliminary results on patients with different residual functioning and level of impairment indicate the capability of the whole system in discriminating motor performances.

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Conference papers on the topic "Joints – Range of motion – Measurement"

Qi, Bozhao, and Suman Banerjee. "GonioSense: a wearable-based range of motion sensing and measurement system for body joints." In MobiCom'16: The 22nd Annual International Conference on Mobile Computing and Networking. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2973750.2985268.

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Tran, Dinh Phap, Daiki Morita, Noritaka Sato, Yoshifumi Morita, and Makoto Takekawa. "Improvement of non-invasive semi-automatic test device for measurement of finger joints range of motion: Reduction in burden on therapist." In 2016 16th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2016. http://dx.doi.org/10.1109/iccas.2016.7832355.

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Takahashi, Masaki, Tetsuya Matsumura, Toshiki Moriguchi, Minoru Yamada, Kazuki Uemura, Shu Nishiguchi, and Tomoki Aoyama. "Development of Measurement System for Task Oriented Step Tracking Using Laser Range Finder." In ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. ASME, 2012. http://dx.doi.org/10.1115/dscc2012-movic2012-8864.

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Sakashita, Ryo, Kouki Nagamune, and Ryosuke Kuroda. "A Development of Ankle Joint Range of Motion Measurement System Using Electromagnetic Tracking Device and Force Sensor." In 2018 World Automation Congress (WAC). IEEE, 2018. http://dx.doi.org/10.23919/wac.2018.8430462.

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Kumar, Rajesh, Aditya Jain, and Jitendra P. Khatait. "Optimal Reaction Wrench Measuring Platform." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87057.

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Measurement of the reaction forces and moments (general wrench) are instrumental in the development stage of a product. Currently available measurement setups have varying ranges in different directions. The range of the device is limited to least stiff direction. The optimal use of load cell for predicted force/moment bounds is based on utilizing the system efficiently in different directions. We have presented a methodology to optimize the measurement setup based on directional stiffness behavior. The technique is coupled to design of load cell based on the characteristic structure of “Stewart platform”. The optimization function proposed allows the designer to design a measurement setup for a bound of the reaction force/moment. Additionally, the nonlinearities like friction and issue of loose joints due to relative motion at the passive joints are avoided. The improvement comes from replacement of the mechanical joints by kinematically constrained flexures.

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Lura, Derek, Stephanie Carey, and Rajiv Dubey. "Automatic Generation of a Subject Specific Upper Body Model From Motion Data." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63953.

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This paper details an automated process to create a robotic model of a subject’s upper body using motion analysis data of a subject performing simple range of motion (RoM) tasks. The upper body model was created by calculating subject specific kinematics using functional joint center (FJC) methods, this makes the model highly accurate. The subjects’ kinematics were then used to find robotic parameters. This allowed the robotic model to be calculated directly from motion analysis data. The RoM tasks provide the joint motion necessary to ensure the accuracy of the FJC method. Model creation was tested using five healthy adult male subjects, with data collected using an eight camera Vicon© (Oxford, UK) motion analysis system. Common anthropometric measures were also taken manually for comparison to the FJC kinematic measures calculated from marker position data. The algorithms successfully generated models for each subject based on the recorded RoM task data. Analysis of the generated model parameters relative to the manual measures was performed to determine the correlations. Methods for replacing model parameters extracted from the motion analysis data with hand measurements are presented. The accuracy of the model generating algorithm was tested by reconstructing motion using the parameters and joint angles extracted from the RoM tasks data, correlated manual measurements, and height based correlations from literature data. Error was defined as the average difference between the recorded position and reconstructed positions and orientations of the hand. For all of the tested subjects the model generated using the RoM tasks data showed least average error over the tested trials. Each of the tested results were significantly different in position error with the FJC generated model being the most accurate, followed by the correlated measurement data, and finally the height based calculations. No difference was found between the end effector orientation of generated models. The models developed in this study will be used with additional subject tasks in order to better predict human motion.

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Martori, Amanda L., Stephanie L. Carey, Redwan Alqasemi, Daniel Ashley, and Rajiv V. Dubey. "Characterizing Suitability of Wearable Sensors for Movement Analysis Using a Programmed Robotic Motion." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65064.

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Wearable sensor systems have the potential to offer advancements in the study of motion disorders, particularly outside of a laboratory setting during activities of daily living or on a football field. Advantages like portability and the capability to gather real-world data have resulted in the rapid adoption of these sensors in various studies for gait analysis, balance control evaluation, physical activity recognition and fall prevention. However, before using wearable sensors in long-term acquisition studies, it is necessary to quantify and analyze errors and determine their sources. In this study, the accuracy of joint angles and velocities measured with the wearable inertial measurement unit (IMU) sensors were compared to both measurements from an optical motion-tracking system and from encoders on a robotic arm while it completed various predetermined paths. The robotic arm uses incremental encoders at each joint to measure and calculate its Cartesian motion relative to a reference frame using inverse kinematics. Motion profiles of the robotic arm were tracked using the onboard encoders, an eight-camera Vicon (Oxford, UK) motion-tracking system with passive retro-reflective markers, and four wearable IMUs by APDM (Portland, OR). In order to better isolate various types of contributing errors, linear, planar, and 3-dimensional robot motions were used. Data were collected from the sensors over several hours, which provided insight into time-based effects as well as management of large amounts of data for future long-term tracking applications. In addition, the authors have previously seen acquisition errors with high-speed gaits, thus robotic arm trajectories of varying velocities were used to provide further insight into these rate-based effects. Angular velocity and joint angles were compared for all three systems and used to investigate the hysteresis, drift and time-based effects on the IMUs as well as their accuracy during motion tracking. Effects on IMU performance due to the application of filtering algorithms were not investigated. The results show that the IMUs were able to calculate the joint angles within a clinically acceptable range of the gold standard optical motion-tracking system. The IMUs also provided accurate trajectory recognition and angular velocity measurements relative to the known motion input of the robotic arm. Future work will include the development of algorithms to detect gait abnormalities such as those seen in patients with mild traumatic brain injury (mTBI). To complement human subject testing with gait pathology, controlled introduction of gait deviations into this robotic testing framework will allow for well-characterized unit testing, providing more robust algorithm development.

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Jun, Bong Jae, Michelle H. McGarry, Joo Han Oh, and Thay Q. Lee. "Geometry-Driven Glenohumeral Joint Biomechanical Analysis: Simultaneous Evaluation of the Capsule and Muscles." In ASME 2010 5th Frontiers in Biomedical Devices Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/biomed2010-32047.

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Glenohumeral joint stability is provided by complex interaction between the passive (bony geometry, capsule, and ligaments) and active (muscles) stabilizers [1]. The functional roles of geometry, capsule, ligaments, and muscles have been evaluated by sequential cutting studies [2–4] or direct measurements [5–7]. However these isolated function of individual stabilizer does not replicate in vivo glenohumeral joint biomechanics where the joint stability is controlled by interaction between passive and active stabilizers. Direct measurement device instrumentation on the soft tissue do not allow entire capsular strain measurement during rotational range of motion. Sequential cutting of the soft tissue can result in alteration in the synergy of passive and active stabilizers. To replicate in vivo interaction between passive and active stabilizers it is required to minimize the measurement device instrumentation on the glenohumeral joint capsule while the joint stability is provided by both passive and active stabilizers. Therefore, the objective of this study was to quantify the simultaneous contribution of the capsule and muscles using a geometry-driven biomechanical analysis.

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Jeong, Won Taek, Seung Jae Yi, Hyun Dong Kim, Sang Moon Kim, and Kyung Chun Kim. "Velocity and Concentration Field Measurements in Bubble-Driven Turbulent Liquid Flows." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-11007.

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In this study, simultaneous measurements of velocity and concentration fields using the time-resolved particle image velocimetry (PIV) and planar laser induced fluorescence (PLIF) methods have conducted to investigate mixing characteristics in turbulent water flows driven by air bubbles in a cylindrical water tank. The flow rates of compressed air is changed from 1 to 5 L/min at 0.5 MPa and the corresponding range of bubble based Reynolds number is from 8,320 to 22,100. PLIF measurement results demonstrate that the mixing efficiency is enhanced with increase of gas flow rate. The sloshing motion of the free surface is also effective to the scalar mixing process since the vertical motion can be correlated with concentration fluctuation and increase turbulent dispersion process.

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Akbarshahi, Massoud, Justin W. Fernandez, Anthony Schache, Richard Baker, and Marcus G. Pandy. "Using MR Imaging and X-Ray Fluoroscopy to Quantify the Effects of Soft-Tissue Artifact on Measurement of Knee-Joint Kinematics." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206551.

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The ability to accurately measure joint kinematics in vivo is of critical importance to researchers in the field of biomechanics [1]. Applications range from the quantitative evaluation of different surgical techniques, treatment methods and/or implant designs, to the development of computer-based models capable of simulating normal and pathological musculoskeletal conditions [1,2]. Currently, non-invasive marker-based three dimensional (3D) motion analysis is the most commonly used method for quantitative assessment of normal and pathological locomotion. The accuracy of this technique is influenced by movement of the soft tissues relative to the underlying bones, which causes inaccuracies in the determination of segmental anatomical coordinate systems and tracking of segmental motion. The purpose of this study was to quantify the errors in the measurement of knee-joint kinematics due solely to soft-tissue artifact (STA) in healthy subjects. To facilitate valid inter-subject comparisons of the kinematic data, relevant anatomical coordinate systems were defined using 3D bone models generated from magnetic resonance imaging (MRI).

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