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Journal articles on the topic 'Range of motion'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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1

Sánchez-Arce, Isidro de Jesús, Alan Walmsley, Muhammed Fahad, and Emmanuel Santiago Durazo-Romero. "Lateral differences of the forearm range of motion." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 234, no. 5 (February 8, 2020): 496–506. http://dx.doi.org/10.1177/0954411920904597.

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Malunion is a common complication of distal radius fracture and often causes a reduction in the range of motion. The measurement of the range of motion is a part of the process for evaluating the final motion after a malunion of a distal radius fracture is diagnosed. However, the amount of range of motion reduced due to the malunion often is calculated upon the assumption that the motion is equal in both forearms. Although this assumption has been questioned, not much work has been conducted which defines the difference in range of motion between the two forearms. In this work, a methodology has been proposed to measure the forearm range of motion using inertial measurement units. The motion was measured in both forearms of a control group. Afterwards, the motion was compared between both forearm sides; then, differences and relationships were drawn. Our results indicated that the forearm rotational motion is larger in the dominant forearm. Moreover, pronation and supination motions differ among the limbs, supination being always larger than pronation. In the dominant forearm, supination is much larger than pronation, while in the non-dominant their magnitudes are rather close. These results provide important data for a more accurate way to determine how the malunion of a fracture or another pathology affects the forearm motion.

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2

Prazdny, Kvetoslav. "Three-Dimensional Structure from Long-Range Apparent Motion." Perception 15, no. 5 (October 1986): 619–25. http://dx.doi.org/10.1068/p150619.

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Experiments are reported which show that three-dimensional structure can be perceived from two-dimensional image motions carried by objects defined solely by the differences in binocular and/or temporal correlation (ie disparity or motion discontinuities). This demonstrates that the kinetic depth effect is independent of motion detection in the luminance domain and that its relevant input comes from detectors based on some form of identity preservation of objects or features over time, ie the long-range processes of apparent motion.

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3

Kuramoto, Alice. "Passive Range of Motion." Journal of Continuing Education in Nursing 29, no. 6 (November 1998): 283. http://dx.doi.org/10.3928/0022-0124-19981101-03.

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4

Werner, Brian C., Chris M. Kuenze, Justin W. Griffin, Matthew L. Lyons, Joseph M. Hart, and Stephen F. Brockmeier. "Shoulder Range of Motion." Orthopaedic Journal of Sports Medicine 1, no. 4_suppl (January 2013): 2325967113S0010. http://dx.doi.org/10.1177/2325967113s00106.

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5

Lea, R. D., and J. J. Gerhardt. "Range-of-motion measurements." Journal of Bone & Joint Surgery 77, no. 5 (May 1995): 784–98. http://dx.doi.org/10.2106/00004623-199505000-00017.

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6

Bellamy, R. E. "Range-of-motion measurements." Journal of Bone & Joint Surgery 77, no. 12 (December 1995): 1946. http://dx.doi.org/10.2106/00004623-199512000-00022.

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7

Leibovic, S. J. "Range-of-motion measurements." Journal of Bone & Joint Surgery 77, no. 12 (December 1995): 1946–47. http://dx.doi.org/10.2106/00004623-199512000-00023.

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8

Mayer, Tom G., George Kondraske, Susan Brady Beals, and Robert J. Gatchel. "Spinal Range of Motion." Spine 22, no. 17 (September 1997): 1976–84. http://dx.doi.org/10.1097/00007632-199709010-00006.

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9

Makkad, Satwinderpal S. "Range from motion blur." Optical Engineering 32, no. 8 (1993): 1915. http://dx.doi.org/10.1117/12.143301.

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10

Maulucci, Ruth A., and Richard H. Eckhouse. "A Technique for Measuring Clothed Range of Joint Motion." Journal of Applied Biomechanics 13, no. 3 (August 1997): 316–33. http://dx.doi.org/10.1123/jab.13.3.316.

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The study of range of joint motion is of theoretical and practical interest to basic research, workspace design, rehabilitation, and mathematical models. Nude range of motion has been extensively explored, whereas range of motion under clothed conditions, although equally important in applications, has received less attention. A project was designed to investigate modern instrumentation and methodologies for examining clothed range of joint motion. An empirical study was conducted using three distinct techniques simultaneously, involving 6 subjects, two military ensembles, and 46 planar motions. The results of the study showed one of the techniques, a computerized six-degree-of-freedom electromagnetic tracker, to be superior for joint motion applications under clothed conditions. Customized physical modifications and software were implemented to adapt the device for physiological applications, and algorithms were created for extracting joint motion information. Standardized procedures for performance strategies were defined. Recommendations were also given for the use of the other two techniques in applications having different requirements.

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11

Grossberg, Stephen, and Michael E. Rudd. "Cortical dynamics of visual motion perception: Short-range and long-range apparent motion." Psychological Review 99, no. 1 (1992): 78–121. http://dx.doi.org/10.1037/0033-295x.99.1.78.

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12

Messenger, Nicole, and Kelly Estes. "Shoulder Pain-- Range of Motion." Medicine & Science in Sports & Exercise 51, Supplement (June 2019): 486. http://dx.doi.org/10.1249/01.mss.0000561962.13180.a8.

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13

Guscott, John K. "Constant range ultrasonic motion detector." Journal of the Acoustical Society of America 82, no. 3 (September 1987): 1103. http://dx.doi.org/10.1121/1.395353.

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14

&NA;. "Lumbar Range-of-Motion Measurements." Back Letter 9, no. 10 (1994): 113. http://dx.doi.org/10.1097/00130561-199409100-00006.

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15

Kersey, Robert D. "Joint Range-of-Motion Assessment." Athletic Therapy Today 10, no. 1 (January 2005): 42–43. http://dx.doi.org/10.1123/att.10.1.42.

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16

Von Grünau, Michael W. "A motion aftereffect for long-range troboscopic apparent motion." Perception & Psychophysics 40, no. 1 (January 1986): 31–38. http://dx.doi.org/10.3758/bf03207591.

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17

Georgeson, Mark A., and Michael G. Harris. "The temporal range of motion sensing and motion perception." Vision Research 30, no. 4 (January 1990): 615–19. http://dx.doi.org/10.1016/0042-6989(90)90072-s.

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18

KOMIYAMA, Takuya, Hiroshi SAWANO, Hayato YOSHIOKA, and Hidenori SHINNO. "B005 A Long-Range Straightness Measurement with Motion Error Compensation." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2013.7 (2013): 173–76. http://dx.doi.org/10.1299/jsmelem.2013.7.173.

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19

Mather, George, Patrick Cavanagh, and Stuart M. Anstis. "A Moving Display Which Opposes Short-Range and Long-Range Signals." Perception 14, no. 2 (April 1985): 163–66. http://dx.doi.org/10.1068/p140163.

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A novel display is described which stimulates both the long-range and the short-range motion detecting processes simultaneously, but with opposing directions of movement. The direction in which the stimulus appears to move depends on retinal eccentricity and element size, but adaptation to the display always produces a motion aftereffect (MAE) direction opposite to the direction of the short-range component. The display may offer insights into the properties of the two-process motion detecting system.

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20

Rohrer, Katelyn, Luis De Anda, Camila Grubb, Zachary Hansen, Jordan Rodriguez, Greyson St Pierre, Sara Sheikhlary, et al. "Around-Body Versus On-Body Motion Sensing: A Comparison of Efficacy Across a Range of Body Movements and Scales." Bioengineering 11, no. 11 (November 19, 2024): 1163. http://dx.doi.org/10.3390/bioengineering11111163.

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Motion is vital for life. Currently, the clinical assessment of motion abnormalities is largely qualitative. We previously developed methods to quantitatively assess motion using visual detection systems (around-body) and stretchable electronic sensors (on-body). Here we compare the efficacy of these methods across predefined motions, hypothesizing that the around-body system detects motion with similar accuracy as on-body sensors. Six human volunteers performed six defined motions covering three excursion lengths, small, medium, and large, which were analyzed via both around-body visual marker detection (MoCa version 1.0) and on-body stretchable electronic sensors (BioStamp version 1.0). Data from each system was compared as to the extent of trackability and comparative efficacy between systems. Both systems successfully detected motions, allowing quantitative analysis. Angular displacement between systems had the highest agreement efficiency for the bicep curl and body lean motion, with 73.24% and 65.35%, respectively. The finger pinch motion had an agreement efficiency of 36.71% and chest abduction/adduction had 45.55%. Shoulder abduction/adduction and shoulder flexion/extension motions had the lowest agreement efficiencies with 24.49% and 26.28%, respectively. MoCa was comparable to BioStamp in terms of angular displacement, though velocity and linear speed output could benefit from additional processing. Our findings demonstrate comparable efficacy for non-contact motion detection to that of on-body sensor detection, and offers insight as to the best system selection for specific clinical uses based on the use-case of the desired motion being analyzed.

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21

Marshall, Matthew M., Jacqueline Reynolds Mozrall, and Jasper E. Shealy. "The Effects of Complex Wrist and Forearm Posture on Wrist Range of Motion." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 1 (October 1997): 629–33. http://dx.doi.org/10.1177/1071181397041001138.

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In order to minimize the risk of repetitive trauma injuries, postures or motions that place joints near the limits of their range of motion (RoM) should be avoided. Before it can be determined that a posture or motion approaches the limit of a joint's motion, these limits need to be established. Previous research on wrist functionality has focused almost entirely on RoM in two or three isolated planes (flexion/extension, radial/ulnar deviation, and forearm pronation/supination), without investigating potential effects of complex wrist/forearm posture on RoM. Since most practical applications of this wrist motion data involve more than these isolated planar deviations, the effects of complex wrist/forearm posture on wrist functionality need to be understood.

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22

Madson, Timothy J., James W. Youdas, and Vera J. Suman. "Reproducibility of Lumbar Spine Range of Motion Measurements Using the Back Range of Motion Device." Journal of Orthopaedic & Sports Physical Therapy 29, no. 8 (August 1999): 470–77. http://dx.doi.org/10.2519/jospt.1999.29.8.470.

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23

Bin Abd Razak, Hamid Rahmatullah, Xinyun Audrey Han, Hwei Chi Chong, and Hwee Chye Andrew Tan. "Total Knee Arthroplasty in Asian Subjects: Preoperative Range of Motion Determines Postoperative Range of Motion?" Orthopaedic Surgery 6, no. 1 (February 2014): 33–37. http://dx.doi.org/10.1111/os.12088.

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24

Sofyan, Ahmad, and Nurul Aktifah. "Gambaran Peningkatan Lingkup Gerak Sendi Setelah Pemberian Range Of Motion Pada Pasien Stroke : Literature Review." Prosiding Seminar Nasional Kesehatan 1 (January 21, 2022): 2380–87. http://dx.doi.org/10.48144/prosiding.v1i.1074.

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AbstrackStroke is a brain functional disorder that occurs suddenly with clinical signs and symptoms both focal and global that lasts more than 024 hours the event will cause permanent damage to the brain. In stroke patients, the role of physiotherapists is to restore the functional range of motion of the joints, one of which is by administering Range Of Motion (ROM) which aims to increase the range of motion of the joints. The purpose of this study is to describe the description of the increase in the range of motion of the joints after the provision of range of motion (ROM) in stroke patients. Methods: The selection of articles in this study used the PICO mnemonic. Writing articles using a literature review search from the Garuda/Scholer Portal and NCBI). The results of a literature review review of 5 articles showed that there was an increase in joint range of motion in stroke patients with an average of 60.322 before intervention and 66.42 after intervention. . Range of motion is able to increase the range of motion of joints in stroke patients. Suggestion: It is hoped that it will provide input in alternative methods of physiotherapists in providing Range of motion in order to increase the range of joint motion in stroke patients.Keywords: Range Of Motion, Scope of joint motion; stroke AbstrakStroke merupakan suatu0gangguan0fungsional0otak yang terjadi secara mendadak dengan tanda dan0gejala klinik baik fokal maupun global yang berlangsung0lebih dari024 jam kejadian tersebut akan menimbulkan kerusakan permanen pada otak. Pasien stroke Peran fisioterapis untuk mengembalikan fungsional lingkup gerak sendi salah satunya dengan melakukan pemberian Range Of Motion (ROM) yang bertujuan untuk meningkatkan lingkup gerak sendi. Tujuan penelitian ini yaitu mendeskripsikan Gambaran Peningkatan Lingkup gerak sendi Setelah Pemberian Range Of Motion (ROM) Pada Pasien Stroke .Pemilihan artikel pada penelitian ini menggunakan mnemonic PICO. Penulisan artikel menggunakan penelusuran literature review dari Portal Garuda/Scholer dan NCBI).Hasil literature review review 5 artikel menunjukkan bahwa Adanya peningkatan kemampuan lingkup gerak sendi pada pasien stroke dengan rata – rata sebelum intervensi sebesar 60,322 dan sesudah intervensi sebesar 66,42 Range of motion mampu untuk meningkatkan lingkup gerak sendi pada pasien stroke. Penelitian ini menerangkan tentang metode alternative fisioterapis dalam pemberian Range of motion guna meningkatkan lingkup gerak sendi pada pasien stroke.Kata Kunci: Range Of Mottion, Lingkup gerak sendi ; Stroke

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25

Hibberd, Elizabeth E., Sakiko Oyama, Justin Tatman, and Joseph B. Myers. "Dominant-Limb Range-of-Motion and Humeral-Retrotorsion Adaptation in Collegiate Baseball and Softball Position Players." Journal of Athletic Training 49, no. 4 (August 1, 2014): 507–13. http://dx.doi.org/10.4085/1062-6050-49.3.23.

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Context: Biomechanically, the motions used by baseball and softball pitchers differ greatly; however, the throwing motions of position players in both sports are strikingly similar. Although the adaptations to the dominant limb from overhead throwing have been well documented in baseball athletes, these adaptations have not been clearly identified in softball players. This information is important in order to develop and implement injury-prevention programs specific to decreasing the risk of upper extremity injury in softball athletes. Objective: To compare range-of-motion and humeral-retrotorsion characteristics of collegiate baseball and softball position players and of baseball and softball players to sex-matched controls. Design: Cross-sectional study. Setting: Research laboratories and athletic training rooms at the University of North Carolina at Chapel Hill. Patients or Other Participants: Fifty-three collegiate baseball players, 35 collegiate softball players, 25 male controls (nonoverhead athletes), and 19 female controls (nonoverhead athletes). Intervention(s): Range of motion and humeral retrotorsion were measured using a digital inclinometer and diagnostic ultrasound. Main Outcome Measure(s): Glenohumeral internal-rotation deficit, external-rotation gain, total glenohumeral range of motion, and humeral retrotorsion. Results: Baseball players had greater glenohumeral internal-rotation deficit, total–range-of-motion, and humeral-retrotorsion difference than softball players and male controls. There were no differences between glenohumeral internal-rotation deficit, total–range-of-motion, and humeral-retrotorsion difference in softball players and female controls. Conclusions: Few differences were evident between softball players and female control participants, although range-of-motion and humeral-retrotorsion adaptations were significantly different than baseball players. The throwing motions are similar between softball and baseball, but the athletes adapt to the demands of the sport differently; thus, stretching/strengthening programs designed for baseball may not be the most effective programs for softball athletes.

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26

Ko, Yun-Ho, Hyun-Soo Kang, and Si-Woong Lee. "Adaptive search range motion estimation using neighboring motion vector differences." IEEE Transactions on Consumer Electronics 57, no. 2 (May 2011): 726–30. http://dx.doi.org/10.1109/tce.2011.5955214.

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27

Hayashibe, Keikichi. "The Efficient Range of Velocities for Inducing Depth Perception by Motion Parallax." Perceptual and Motor Skills 83, no. 2 (October 1996): 659–74. http://dx.doi.org/10.2466/pms.1996.83.2.659.

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The range of velocities over which depth perception can be simulated by motion parallax, was studied experimentally. Perception of apparent depth was induced using method of simulated motion parallax. In the condition of ‘observer parallax,’ the range of angular velocity over which apparent depth accompanied by motion was perceived was 0.0048 to 0.048 rad/sec., while velocities for which robust perception of apparent depth was obtained were restricted to the range 0.0010 to 0.0024 rad/sec., and no perceived reversals of depth occurred over this range. No distinct range for robust perception of apparent depth could be found in the condition of ‘stimulus parallax.’ In the case of velocity ratios of 1:1.1 and 1:1.3, the velocity that produced the most robust perception of apparent depth was 0.0024 rad/sec., and inhibition of perceived depth reversals occurred at 0.0010 rad/sec. Under conditions of opposing relative motion, the velocity range over which robust perception of apparent depth was observed was 0.0005 to 0.0010 rad/sec., slightly lower than when both motions were in the same direction.

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28

Bösch, Nadja, Martin Hofstetter, Alexander Bürki, Beatriz Vidondo, Fenella Davies, and Franck Forterre. "Effect of Facetectomy on the Three-Dimensional Biomechanical Properties of the Fourth Canine Cervical Functional Spinal Unit: A Cadaveric Study." Veterinary and Comparative Orthopaedics and Traumatology 30, no. 06 (2017): 430–37. http://dx.doi.org/10.3415/vcot-17-03-0043.

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Abstract Objective To study the biomechanical effect of facetectomy in 10 large breed dogs (>24 kg body weight) on the fourth canine cervical functional spinal unit. Methods Canine cervical spines were freed from all muscles. Spines were mounted on a six-degrees-of-freedom spine testing machine for three-dimensional motion analysis. Data were recorded with an optoelectronic motion analysis system. The range of motion wasdetermined inall threeprimary motionsaswellasrange of motion of coupled motions on the intact specimen, after unilateral and after bilateral facetectomy. Repeated-measures analysis of variance models were used to assess the changes of the biomechanical properties in the three treatment groups considered. Results Facetectomy increased range of motion of primary motions in all directions. Axial rotation was significantly influenced by facetectomy. Coupled motion was not influenced by facetectomy except for lateral bending with coupled motion axial rotation. The coupling factor (coupled motion/primary motion) decreased after facetectomy. Symmetry of motion was influenced by facetectomy in flexion–extension and axial rotation, but not in lateral bending. Clinical Significance Facet joints play a significant role in the stability of the cervical spine and act to maintain spatial integrity. Therefore, cervical spinal treatments requiring a facetectomy should be carefully planned and if an excessive increase in range of motion is expected, complications should be anticipated and reduced via spinal stabilization.

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29

Tamura, A. Shimura K. Inoue Y. "The Characteristic of Dynamic Balance Ability and Hip Flexibility in Soccer Players with a History of the Groin Pain: A Preliminary Study." J Biomed Res Environ Sci 3, no. 3 (March 11, 2022): 236–39. https://doi.org/10.37871/jbres1428.

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The purpose of this study was to investigate the characteristic of hip flexibility and dynamic balance ability in the soccer players with the groin pain. The study consisted 17 male college soccer players. All participants were divided into the Groin Pain (GP) group and non-GP group, according to a history of the groin pain. Hip passive Range of Motion (ROM) test and the modified Star Excursion Balance Test (mSEBT) was conducted in all participants. The Mann–Whitney U test or Student’s t-test was selected to identify differences in hip ROMs and results of the mSEBT in kicking keg and supporting leg between groups. Hip abduction angle of kicking leg in the GS group were smaller than that in the non-GS group in the kicking leg (<em>p</em> < 0.05). There were no differences in other hip ROMs between groups <em>(p</em> > 0.05). There was no difference in results of the mSEBT between groups in both legs (<em>p</em> > 0.05). Our results were newly revealed that soccer players with the groin pain had poor hip abduction range of motion in comparison with those without the groin pain. This finding suggested that a poor hip abductor range of motion may affect the kicking biomechanics in soccer players with the groin pain.

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30

Kim, Jung Man. "Restoration of Shoulder Range of Motion." Clinics in Shoulder and Elbow 17, no. 3 (January 1, 2014): 101. http://dx.doi.org/10.5397/cise.2014.17.3.101.

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31

Kalscheur, Jean, Lynnda Emery, and Patricia Costello. "Range of Motion in Older Women." Physical & Occupational Therapy In Geriatrics 16, no. 1 (September 1, 1999): 77–96. http://dx.doi.org/10.1300/j148v16n01_06.

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32

Kalscheur, Jean A., Lynnda J. Emery, and Patricia S. Costello. "Range of Motion in Older Women." Physical & Occupational Therapy In Geriatrics 16, no. 1-2 (January 1999): 77–96. http://dx.doi.org/10.1080/j148v16n01_06.

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33

Wroblewski, B. M. "Range of Motion of the Hip." Journal of Bone and Joint Surgery-American Volume 82, no. 11 (November 2000): 1671–72. http://dx.doi.org/10.2106/00004623-200011000-00028.

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34

D'Lima, Darryl D., Andrew G. Urquhart, Knute O. Buehler, Richard H. Walker, and Clifford W. Colwell. "Range of Motion of the Hip." Journal of Bone and Joint Surgery-American Volume 82, no. 11 (November 2000): 1672. http://dx.doi.org/10.2106/00004623-200011000-00029.

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35

Djugash, Joseph, and Sanjiv Singh. "Motion-aided network SLAM with range." International Journal of Robotics Research 31, no. 5 (April 2012): 604–25. http://dx.doi.org/10.1177/0278364912441039.

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36

Itoi, Eiji, Wataru Watanabe, Shin Yamada, Togo Shimizu, and Ikuko Wakabayashi. "Range of Motion after Bankart Repair." American Journal of Sports Medicine 29, no. 4 (July 2001): 441–45. http://dx.doi.org/10.1177/03635465010290041001.

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37

Sankar, Wudbhav N., Christopher T. Laird, and Keith D. Baldwin. "Hip Range of Motion in Children." Journal of Pediatric Orthopaedics 32, no. 4 (June 2012): 399–405. http://dx.doi.org/10.1097/bpo.0b013e3182519683.

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38

Joseph, Benjamin. "Hip Range of Motion in Children." Journal of Pediatric Orthopaedics 34, no. 4 (June 2014): 481–82. http://dx.doi.org/10.1097/bpo.0b013e31829fff29.

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39

&NA;. "Performing passive range-of-motion exercises." Nursing 36, no. 3 (March 2006): 50–51. http://dx.doi.org/10.1097/00152193-200603000-00040.

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40

Knight, Kathryn. "DINOSAUR RANGE OF MOTION STUDIES VINDICATED." Journal of Experimental Biology 215, no. 12 (May 23, 2012): i.2—ii. http://dx.doi.org/10.1242/jeb.074815.

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41

Gaffare, Mayra Garduño, Bertrand Vachon, and Armando Segovia de los Ríos. "Range image generator including robot motion." Robotica 24, no. 1 (October 31, 2005): 113–23. http://dx.doi.org/10.1017/s0263574704001547.

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The system here described has the capability of generating range images that include robot motion. The system has two main modules, the motion and the image generator. Motion is modeled using a Bezier's curve method. To compute a range value corresponding to a pixel image, the robot position in the coordinated system is obtained from trajec-tory generation. In this way, distortion is produced in the image, or sequence of images, as a consequence of motion. The obtained range images represent scenes perceived by the robot from a specific location or during a specified dis-placement in a very “real” view.

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42

Breger-lee, Donna, Elizabeth Tomancik Voelker, David Giurintano, Andrew Novick, and Lillian Browder. "Reliability of Torque Range of Motion." Journal of Hand Therapy 6, no. 1 (January 1993): 29–34. http://dx.doi.org/10.1016/s0894-1130(12)80178-5.

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Arbogast, K. B., M. R. Maltese, M. F. Tomasello, P. A. Gholve, J. E. Friedman, and J. P. Dormans. "Pediatric cervical spine range of motion." Journal of Biomechanics 39 (January 2006): S151. http://dx.doi.org/10.1016/s0021-9290(06)83510-4.

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44

TAUB, ETHAN, JONATHAN D. VICTOR, and MARY M. CONTE. "Nonlinear Preprocessing in Short-range Motion." Vision Research 37, no. 11 (June 1997): 1459–77. http://dx.doi.org/10.1016/s0042-6989(96)00305-7.

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45

Johansen, Mette, Helle Haslund-Thomsen, Jeanette Kristensen, and Søren Thorgaard Skou. "Photo-Based Range-of-Motion Measurement." Pediatric Physical Therapy 32, no. 2 (April 2020): 151–60. http://dx.doi.org/10.1097/pep.0000000000000689.

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46

Tanré, Etienne, and Pierre Vallois. "Range of Brownian Motion with Drift." Journal of Theoretical Probability 19, no. 1 (January 2006): 45–69. http://dx.doi.org/10.1007/s10959-006-0012-7.

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47

Chambers, D. J., C. G. Millar, and N. A. S. Taylor. "Specificity in joint range of motion." Journal of Biomechanics 25, no. 7 (July 1992): 815. http://dx.doi.org/10.1016/0021-9290(92)90592-o.

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48

Prieto, Sandra L., Juan C. Mazza, Raúl R. Festa, and Patricia Cosolito. "Range Of Motion In Lower Limbs." Medicine & Science in Sports & Exercise 49, no. 5S (May 2017): 577. http://dx.doi.org/10.1249/01.mss.0000518504.47781.74.

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49

Stone, Jennifer A. "Rehabilitation–Static/Dynamic Range of Motion." Athletic Therapy Today 3, no. 2 (March 1998): 11–12. http://dx.doi.org/10.1123/att.3.2.11.

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Merrick, Mark A. "Ultrasound and Range of Motion Examined." Athletic Therapy Today 5, no. 3 (May 2000): 48–49. http://dx.doi.org/10.1123/att.5.3.48.

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