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Journal articles on the topic 'Rehabilitation system Hand Tutor®'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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1

Mayer, Naomi, Sigal Portnoy, Ram Palti, and Yafa Levanon. "The Efficacy of Tele-Rehabilitation Program for Improving Upper Limb Function among Adults Following Elbow Fractures: A Pilot Study." Applied Sciences 11, no. 4 (2021): 1708. http://dx.doi.org/10.3390/app11041708.

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Background: Active mobilization post-elbow fractures reduces the incidence of complications. Occupational therapists use tele-rehabilitation, incorporating technology into their practices. There is a lack of evidence-based trials regarding the integration of tele-rehabilitation during treatment. We therefore aimed to compare tele-rehabilitation treatment outcomes with conventional rehabilitation in improving the upper limb function post-elbow fractures. Methods: Eighteen participants post-elbow surgery due to fracture were divided into two groups according to age and fracture type. The groups received one month of treatment: the tele-rehabilitation group (N = 9, median age 33.0 ± 27.9 years, range 18.5–61.0) received 1–2 tele-rehabilitation treatments per week via a biofeedback system of elbow motion (the ArmTutor and 3D Tutor systems, MediTouch Ltd., Netanya, Israel) and 1–2 treatments in an outpatient clinic, and the control group (N = 9, median age 60.0 ± 37.0 years, range 20.5–73.0) received 3–4 treatments per week in the clinic. Both groups were instructed to self-practice at home. Four evaluations were performed: before and after the intervention, and 3 months and 1 year from surgery. The outcome measures included the Jebsen–Taylor hand function test; the disabilities of the arm, shoulder, and hand questionnaire; the patient-rated elbow evaluation; satisfaction; passive and active range of motion (ROM); and strength measurements. Results: Findings demonstrated a significant improvement in the ROM and in functional assessments in both groups. No statistically significant differences were found between the groups. The subjects in the tele-rehabilitation group reported a higher level of satisfaction and needed less help from a family member during practice. Conclusions: Tele-rehabilitation programs could be incorporated in the framework of treatment following elbow fractures. Tele-rehabilitation is a cost-effective treatment, suitable for patients with accessibility difficulties or who have difficulty arriving at the clinic.
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2

G, Kastanis, Bachlitzanaki M, Kapsetakis P, Christoforidis C, Chaniotakis C, and Pantouvaki A. "Giant Cell Tumor on Tendon Sheath of the Hand: The Incidence of Recurrence, Functional Outcomes and a Literature Review." International Journal of Innovative Research in Medical Science 5, no. 12 (2020): 638–44. http://dx.doi.org/10.23958/ijirms/vol05-i12/1024.

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Giant Cell Tumor on Tendon Sheath (GCTTS) of the hand is a benign nodular tumor originated from tendon sheath of the tendons and the joints and is the second most common soft tissue tumor of the hand after ganglion cyst. The aim of this study is to evaluate 79 cases of giant cell tumor of tendon sheath of the hand and to analyze the postoperative functional outcomes and recurrence rate of the tumor in a mean period of five years follow up. Material and Methods: Fifty five subjects were females and twenty four males with an average age of 38,8 years-old (range23-65 years old) were included in this study. The most frequent location of tumor was the index finger (32/79 patients, 40,5%). The majority of patients was presented in outpatient’s clinic for a painless swelling on volar side of the digit, while only 13(16,45%) patients presented for painful mass and numbness of the digit in 7(8,9%) cases. All cases were categorized by Al-Qattan classification system with type I lesion in 51(64,5 %) cases and type II in 28(35,5 %) cases. Dimension of tumors macroscopically varied from 0,4cm to 5 cm. In 12 cases we reconstructed the A2 pulley to avoid bowstring deformity and eventual postoperative loss of hand function. In 12 cases we reconstructed the A2 pulley to avoid bowstring deformity and eventual postoperative loss of hand function. 8 patents with bone erosion underwent postoperatively complementary local radiotherapy. A standard protocol of rehabilitation was performed in all patients. Results: Results were evaluated according to complications, range of motion, Quick Dash Score and functional satisfaction of patients in a mean follow-up of 49 months. Two major complications presented in this study: 5 cases with transitional neuroapraxia and 6 cases with recurrence of the tumor with a mean of postsurgical period 14,8 months. Finally at last assessment the mean Quick Dash Score was 4,5 (range from 0-11,4) the range of motion was fully recovered in 73 patients while patient’s satisfaction rated from “very satisfied” in 58(73,4%) cases, “satisfied” in 17(21,5) and “dissatisfied” in 4(5,1%) patients. Conclusions: Giant cell tumor of tendon sheath of the hand is a common tumor which presents a high incidence of recurrence in different populations of patients. The goal of treatment is to reduce the recurrence rate and restore a functional hand. The operation procedure should be well planned preoperatively, the tumor must excised en block, dissection must be under surgical loop and must be emphasized to remove satellite lesion while when patients present increased risk factors or inadequate excision of the mass, postoperative radiotherapy is performed.
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Barcik, Natalia, Agnieszka Nowak, and Bożena Krawczyk. "Child’s problems with Synovial Sarcoma – case study." Pielegniarstwo XXI wieku / Nursing in the 21st Century 15, no. 1 (2016): 60–63. http://dx.doi.org/10.1515/pielxxiw-2016-0010.

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AbstractIntroduction. Soft tissue sarcomas are a heterogeneous group of malignant tumors derived from the embryonic mesenchymal and neuroectodermal tissue. In Poland, they constitute about 7% of all childhood malignant tumors and represent the fifth group of the most common tumorous under the age of 16 after leukemia, central nervous system tumor, lymphoma and neuroblastoma. When starting treatment of a child with cancer, the following points should be taken into account: the type, localization and size of cancer with its dynamics and the stage of disease, the general condition and the age of a patient. The contemporary treatment of patients with malignant tumor is combined and multi-profile. This treatment consists of multidrug chemotherapy, surgery, radiotherapy, rehabilitation and palliative care.In order to analyze care problems of a child with malignant tumor, we present the case of a girl with Synovial Sarcoma who was diagnosed after a year and a half since the first symptoms have occurred. It had a significant impact on the girl’s health condition, emotional and social development as well as on the functioning of her whole family.Aim. The aim of the study was to present the problem associated with a care of a child with malignant tumor based on the analysis of a chosen clinical occurrence.Material and methods. Analysis of medical records of the child was diagnosed thenar tumor of the left hand Synovial Sarcoma and the anamnestic interview with the family.Results and conclusions. Problems of the child diagnosed with cancer are significantly associated with somatic symptoms of the disease such as pain, or complications of chemotherapy. Equally important are the issues related to child mental sphere. A difficult problem is anxiety and impaired sense of security, particularly in cases when the diagnosis process is very long.
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4

Ritter, Markus, Christiane Kallenbach, and James Pankhurst. "The ‘all-inclusive’ tutor – excluding learner autonomy?" ReCALL 11, no. 1 (1999): 111–16. http://dx.doi.org/10.1017/s0958344000002147.

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A multimedia learning environment would appear to benefit from an intelligent tutoring system that draws on didactic expertise, knowledge of the program structure, and knowledge of the learner's previous activities. On the other hand, one may argue against a tutor because of the damaging effects on learner autonomy: the tutor may hamper genuine learning by taking the learner by the hand, whereas what the learner needs is to have sufficient space to move freely through material in an explorative rather than an executive mode, generating her own queries and finding her own solutions. It is argued that tutoring may be a necessary stage on the road to autonomy.
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5

Hwang, Je-Seung, Min-Jin Kim, and Mi-Kyeong Moon. "Hand Rehabilitation System Using a Hand Motion Recognition Device." Journal of the Korea Society of Computer and Information 19, no. 8 (2014): 129–37. http://dx.doi.org/10.9708/jksci.2014.19.8.129.

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6

Mazlan, Nurul Atikah. "Rehabilitation Hand Exercise System with Video Games." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 1 (2020): 545–51. http://dx.doi.org/10.30534/ijatcse/2020/74912020.

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7

Tutak, Jacek, and Szymon Gurak. "Properties of Mechatronic System for Hand Rehabilitation." Advances in Science and Technology Research Journal 12, no. 4 (2018): 103–14. http://dx.doi.org/10.12913/22998624/100344.

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8

Sabater-Navarro, J. M., N. Garcia, D. Ramos, E. Camayo, and A. Vivas. "Hand neuro-rehabilitation system using Nitinol spring actuators." Robotics and Autonomous Systems 63 (January 2015): 50–56. http://dx.doi.org/10.1016/j.robot.2014.09.015.

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9

Chen, Xiaoshi, Li Gong, Liang Wei, et al. "A Wearable Hand Rehabilitation System With Soft Gloves." IEEE Transactions on Industrial Informatics 17, no. 2 (2021): 943–52. http://dx.doi.org/10.1109/tii.2020.3010369.

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Weiss Cohen, Miri, and Daniele Regazzoni. "Hand rehabilitation assessment system using leap motion controller." AI & SOCIETY 35, no. 3 (2019): 581–94. http://dx.doi.org/10.1007/s00146-019-00925-8.

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11

Liu, Jia, Jianhui Mei, Xiaorui Zhang, Xiong Lu, and Jing Huang. "Augmented reality-based training system for hand rehabilitation." Multimedia Tools and Applications 76, no. 13 (2016): 14847–67. http://dx.doi.org/10.1007/s11042-016-4067-x.

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12

Hsieh, Ming-Shium, Chwen-Jen Chen, and Ming-Dar Tsai. "A HAND REHABILITATION COMPUTER SYSTEM USING COMMERCIAL HAPTIC DEVICE." Biomedical Engineering: Applications, Basis and Communications 19, no. 06 (2007): 375–82. http://dx.doi.org/10.4015/s1016237207000471.

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This paper describes a PC based hand rehabilitation system equipped with a commercial haptic device. The proposed system uses a 3D hierarchical hand model to describe the transformation between the wrist with any MCP joint, and the transformations between an MCP or PIP joint with a PIP or DIP joint on the same finger. Through this hand model, a 3D hand image with dynamic rotation of any joint can be demonstrated in real-time. The system also uses the 6D input of the haptic device and the accumulation of transformation matrices between the related joints to estimate the rotational angle of the rehabilitated joint. The system can detect the force and the range of joint motion in the active rehabilitation by the estimated angle and the 3D output force of the haptic device. The detected force and the range of motion are then used to control and achieve high efficient passive rehabilitation. A rehabilitation example of the PIP joint of the index finer demonstrates the attachment, set-up of the haptic device to the rehabilitated joint and shows the rehabilitation can be improved by the controlled passive rehabilitation.
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13

KAWASAKI, Haruhisa, Hirohumi SAKAEDA, Makoto IWAMURA, et al. "Study on Hand Rehabilitation Support System Applied Virtual Reality." Japanese Journal for Medical Virtual Reality 5, no. 1 (2007): 32–39. http://dx.doi.org/10.7876/jmvr.5.32.

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14

Ma, Zhou, Pinhas Ben-Tzvi, and Jerome Danoff. "Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove." IEEE Transactions on Neural Systems and Rehabilitation Engineering 24, no. 12 (2016): 1323–32. http://dx.doi.org/10.1109/tnsre.2015.2501748.

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15

Demyanenko, Natalia. "ARCHITECTONICS OF TUTORING IN HIGHER EDUCATION." Visnyk Taras Shevchenko National University of Kyiv. Pedagogy, no. 2 (8) (2018): 13–17. http://dx.doi.org/10.17721/2415-3699.2018.8.03.

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Modern trends of human civilization development determine the individual educational way of person on the open education basis. A special place in supporting of personality development in the information society belongs to a tutor. A tutor is a central figure while a tutorial is an officially recognized component of the British educational system. Today this profession is actualized in many European countries. Social and personal request for a tutorial support is increasing in Ukraine. A tutorial is developing as a basis for the formation of teacher-student partnership. On the other hand, pedagogically expedient, subject-subjective, moral and aesthetic relations are a condition for the tutorial technology implementation. They form a personally oriented activity of two equal partners - a tutor and tutorant. It should be emphasized on the individual-socializing nature of tutorial. A tutor is not only responsible for the level of knowledge, but also for the formation (upbringing) of the individual. A tutorial accompaniment is a pedagogical education individualizing activity which is directed at the identification and development of educational motives and interests of the person, the search for educational resources for the creation of an individual educational program, the formation of person educational reflection. It involves the educational environment organizing, actual support for the formation and implementation of a tutor`s individual educational program; its methodical support. A tutorial support is carried out in accordance with the peculiarities of the age of the tutorants (from preschool age), provides the pedagogical provision of autonomous formulation and realization of the person's educational goals, stimulation and motivation of independent educational activity. The Department of Pedagogy and Psychology of Higher Education has carried out a tutor professional and pedagogical training at the National Dragomanov Pedagogical University since 2015.
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16

Mouri, Tetsuya, Haruhisa Kawasaki, Takaaki Aoki, Yutaka Nishimoto, Satoshi Ito, and Satoshi Ueki. "Telerehabilitation for Fingers and Wrist Using a Hand Rehabilitation Support System and Robot Hand." IFAC Proceedings Volumes 42, no. 16 (2009): 603–8. http://dx.doi.org/10.3182/20090909-4-jp-2010.00102.

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17

Carneiro, Fernando, Rafael Tavares, José Rodrigues, Paulo Abreu, and Maria Teresa Restivo. "A Gamified Approach for Hand Rehabilitation Device." International Journal of Online Engineering (iJOE) 14, no. 01 (2018): 179. http://dx.doi.org/10.3991/ijoe.v14i01.7793.

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<p class="0abstract">This work details developments made in a system for hand rehabilitation, that aims to improve recovery of fine motor control, mostly for those recovering from stroke. The system consists of an instrumented device that is used to interact with a variety of games designed to improve fine motor control, enhancing rehabilitation practices. These games were tested with actual disabled individuals and therapists, having received overall positive feedback.</p>
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18

Li, Jiting, Shuang Wang, Ju Wang, Ruoyin Zheng, Yuru Zhang, and Zhongyuan Chen. "Development of a hand exoskeleton system for index finger rehabilitation." Chinese Journal of Mechanical Engineering 25, no. 2 (2012): 223–33. http://dx.doi.org/10.3901/cjme.2012.02.223.

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19

KAWASAKI, Haruhisa, Hiroki KIMURA, Satoshi ITO, Yutaka NISHIMOTO, Hiroyuki HAYASHI, and Hirohumi SAKAEDA. "Hand Rehabilitation Support System (1st Report, Concept and Preliminary Test)." Transactions of the Japan Society of Mechanical Engineers Series C 72, no. 720 (2006): 2568–73. http://dx.doi.org/10.1299/kikaic.72.2568.

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20

Burdea, Grigore, Sonal Deshpande, Noshir Langrana, Daniel Gomez, and Biao Liu. "A Virtual Reality-Based System for Hand Diagnosis and Rehabilitation." Presence: Teleoperators and Virtual Environments 6, no. 2 (1997): 229–40. http://dx.doi.org/10.1162/pres.1997.6.2.229.

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This article describes a new and unified approach to computerized hand diagnosis and rehabilitation. The system uses a workstation to automate diagnosis data collection and analysis and to assess the rehabilitation progress. A new diagnosis glove was developed and tested. This device measures grasping forces applied to 16 regions of the hand. A physician using this system can also utilize modern diagnosis devices such as electronic dynamometer, pinchmeter, and goniometer. Additionally, three VR rehabilitation exercises were created using WorldToolKit graphics library and run on the same workstation. These exercises were modeled after standard hand rehabilitation procedures and involve manipulation of virtual objects and transparent real-time data gathering. Grasping forces were modeled and fed back using the Rutgers Master worn on the patient's hand. An Oracle database was used to store, analyze, and integrate the patient's diagnosis and rehabilitation data. The system is presently undergoing clinical trials.
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MEGURO, Takumi, Feifei CYO, Hiroyuki INOUE, and Hironari TANIGUCHI. "Development of a hand rehabilitation system using pneumatic soft actuators." Proceedings of Mechanical Engineering Congress, Japan 2016 (2016): S1170504. http://dx.doi.org/10.1299/jsmemecj.2016.s1170504.

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22

Pu, Shu-Wei, and Jen-Yuan Chang. "Robotic hand system design for mirror therapy rehabilitation after stroke." Microsystem Technologies 26, no. 1 (2019): 111–19. http://dx.doi.org/10.1007/s00542-019-04483-3.

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23

Ahmad, Ahmad, Mohd Nor Azmi Ab Patar, Anwar P.P. Abdul Majeed, Hokyoo Lee, and Jamaluddin Mahmud. "System Integration of Finger Contracture Prevention System Device for Early Post Stroke Rehabilitation." International Journal of Engineering & Technology 7, no. 4.36 (2018): 398. http://dx.doi.org/10.14419/ijet.v7i4.36.28151.

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Physical rehabilitation is the key for recovering motor control and function for patients with neurological disorders. Conventional therapy procedures tend to be labor intensive and non-standardized, especially in the area of hand and finger rehabilitation. Robotics technology offers a way to reduce the burden of the physiotherapists in a repeatable and measurable manner. This work describes a novel finger rehabilitation approach for hand motor functions recovery targeting early acute stroke survivors using an active exoskeleton robotic device. The device is designed based on anthropometric measurement data of hand ergonomics. The device is able to assist the subject in performing flexion and extension movements. The main specification of the device includes a differential system with a current sensing element and a lead screw mechanism which allows for the self-governing movement of each finger through the usage of small actuators. The device is safe, easy to deploy, integrated with sensing element and offers multiple training possibilities. Moreover, it has been observed that the device could offer an objective evaluation of the patients’ motor function activity, suggesting its potentiality for a customized home-based therapy program for patients.
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Ying, S. Z., N. K. Al-Shammari, A. A. Faudzi, and Y. Sabzehmeidani. "Continuous Progressive Actuator Robot for Hand Rehabilitation." Engineering, Technology & Applied Science Research 10, no. 1 (2020): 5276–80. http://dx.doi.org/10.48084/etasr.3212.

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This paper presents the development of a soft rehabilitation robot to conduct Continuous Passive Motion (CPM) for hand rehabilitation. The main contribution of this work is the implementation of a McKibben actuator as an artificial muscle due to its proven advantages: simple structure, light weight, and high power-to-weight ratio. The development worked successfully when tested on a healthy subject, where the flexion and extension of the finger were controlled with an antagonistic pair of actuators. However, there is a limitation of the McKibben actuator regarding its length-dependency. In this research, the concept of a pulley system was proposed to overcome this limitation. Although there is a friction factor that reduces the contracting displacement by at least 15% of the original displacement, a pulley is still a potential solution as it can reduce the installation space of the actuator from 40 to 15cm while still producing sufficient force for the finger motion. Throughout this research, it was found that the pattern of the flexor pulley system is affecting the system’s efficiency in terms of motion assistance.
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25

Taylor, Jamie, and Kevin Curran. "Glove-Based Technology in Hand Rehabilitation." International Journal of Innovation in the Digital Economy 6, no. 1 (2015): 29–49. http://dx.doi.org/10.4018/ijide.2015010103.

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Injuries to the hand are more common than those of any other body region and can have considerable financial, time-measured and psychological impact on not only the victim but the community as a whole. Hand rehabilitation aims to return people to their pre-injury roles and occupations and has proved largely successful in doing so with the potential for technology to improve these results further. However, most technology used in hand rehabilitation is based on expensive and non-durable glove-based systems and issues with accuracy are common among those which are not glove-based. The authors outline an accurate, affordable and portable solution wherein the authors use the Leap Motion as a tool for hand rehabilitation. User feedback will be given primarily through an animated 3d hand model as the user performs rehabilitative exercises. Exercise results will be recorded for later viewing by patients and clinicians. The system will also include Gamification aspects, techniques which (while proven to increase participation) have seen little to no use in hand-rehabilitation systems.
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Shapi’i, Azrulhizam, Nor Azan Mat Zin, and Ahmed Mohammed Elaklouk. "A Game System for Cognitive Rehabilitation." BioMed Research International 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/493562.

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Brain injury such as traumatic brain injury (TBI) and stroke is the major cause of long-term disabilities in many countries. The increasing rate of brain damaged victims and the heterogeneity of impairments decrease rehabilitation effectiveness and competence resulting in higher cost of rehabilitation treatment. On the other hand, traditional rehabilitation exercises are boring, thus leading patients to neglect the prescribed exercises required for recovery. Therefore, we propose game-based approach to address these problems. This paper presents a rehabilitation gaming system (RGS) for cognitive rehabilitation. The RGS is developed based on a proposed conceptual framework which has also been presented in this paper.
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27

Huang, Hsi Chuan, W. H. Kao, T. S. Wei, S. Y. Liu, Y. S. Syu, and P. D. Liu. "Development of Active Rehabilitation Device of Hand Joint." Advanced Materials Research 591-593 (November 2012): 245–50. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.245.

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If the hand joints patients have not been taking autonomic or external force rehabilitation, they might become disabled, even leading the cause ofirreversible disability eventually. Generally speaking, the medical treatment of rehabilitation has been doing by physical therapist by providing patients with external forces rehabilitation assistance as far as we know currently. For the purpose of both of reducing the workload of physical therapists and providing the quantitative data obtained during the rehabilitation process so as for physical therapist’s reference. This research will build an automatic finger stretch and grip control system by using the Human- Machine Interface for operation control. It can be done by physical therapist or physical doctor to set the operating conditions so as to help the patients with their finger joints motion so as to achieve the rehabilitation effect of their fingers. This research is trying to integrate the mechanism and control technology mainly. With regards to the control technology, it uses a micro chip so as to lead the motions of the stretch & grip for finger rehabilitation by a signal processing control servo motor. And its operation interface is using an embedded system along with Visual Studio compiling software so as to touch input the operating conditions. The system operation functions are including single finger joint motion orsynchronized actuation of all fingers and the setting of the cycle numbers. Furthermore, in order to soften the finger tendons so as to promote the rehabilitation effect during the rehabilitation process, the system adds external steam in so as to control the internal temperature & humidity of the rehabilitation box and apparently, the whole finger automatic stretch & grip control system will be better owing to it.
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Song, Xueshu. "Computer Simulation in Eye-Hand-Coordination Training: A Welding Lab on Disk." Journal of Educational Technology Systems 20, no. 3 (1992): 209–19. http://dx.doi.org/10.2190/tp3t-94rc-8g0e-bagt.

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Shielded Metal Arc Welding (SMAW) and Oxyacetylene Welding (OAW) processes have been essential to the metal fabrication curriculum in industrial technology education. Current welding training software has all concentrated on knowledge development using computer displayed text information and computerized quiz systems. The purpose of this article was to develop a computer simulation software to be used in SMAW and OAW skill development in a safer, easier, more stimulating and less expensive manner as compared with merely practicing with actual welding facilities. Major welding parameters and eye-hand coordination control parameters were simulated using “interactive dynamic,” machine-driven animation techniques and sound effect. The simulation module was incorporated with a tutor module and a quiz module by a hierarchical menu system. Perspectives of and correlations between the development of similar simulation software and the development of a key course in today's “computer Integrated Curriculum” in industrial technology are briefly discussed.
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Ito, Satoshi, Yasuhiko Ishigure, Satoshi Ueki, et al. "A hand rehabilitation support system with improvements based on clinical practices." IFAC Proceedings Volumes 42, no. 16 (2009): 669–74. http://dx.doi.org/10.3182/20090909-4-jp-2010.00113.

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Kurillo, Gregorij, Milan Gregorič, Nika Goljar, and Tadej Bajd. "Grip force tracking system for assessment and rehabilitation of hand function." Technology and Health Care 13, no. 3 (2005): 137–49. http://dx.doi.org/10.3233/thc-2005-13301.

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31

Adamovich, Sergei V., Alma S. Merians, Rares Boian, et al. "A Virtual Reality—Based Exercise System for Hand Rehabilitation Post-Stroke." Presence: Teleoperators and Virtual Environments 14, no. 2 (2005): 161–74. http://dx.doi.org/10.1162/1054746053966996.

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This paper presents preliminary results from a virtual reality (VR)-based system for hand rehabilitation that uses a CyberGlove and a Rutgers Master II-ND haptic glove. This computerized system trains finger range of motion, finger flexion speed, independence of finger motion, and finger strength using specific VR simulation exercises. A remote Web-based monitoring station was developed to allow telerehabilitation interventions. The remote therapist observes simplified versions of the patient exercises that are updated in real time. Patient data is stored transparently in an Oracle database, which is also Web accessible through a portal GUI. Thus the remote therapist or attending physician can graph exercise outcomes and thus evaluate patient outcomes at a distance. Data from the VR simulations is complemented by clinical measurements of hand function and strength. Eight chronic post-stroke subjects participated in a pilot study of the above system. In keeping with variability in both their lesion size and site and in their initial upper extremity function, each subject showed improvement on a unique combination of movement parameters in VR training. Importantly, these improvements transferred to gains on clinical tests, as well as to significant reductions in task-completion times for the prehension of real objects. These results are indicative of the potential feasibility of this exercise system for rehabilitation in patients with hand dysfunction resulting from neurological impairment.
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KAWARAZAKI, Noriyuki, Tadashi YOSHIDOME, and Kairo TAKAHASHI. "A Development of the Rehabilitation System using the Power Assist Hand." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (2018): 1A1—H09. http://dx.doi.org/10.1299/jsmermd.2018.1a1-h09.

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33

Zhang, Yi, Yuan Luo, and ng Li. "An intelligent visual hand motion tracking system for home-based rehabilitation." International Journal of Modelling, Identification and Control 10, no. 3/4 (2010): 213. http://dx.doi.org/10.1504/ijmic.2010.034573.

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Kim, Sangjoon J., Sang Yun Han, Gi-Hun Yang, Jung Kim, and Bummo Ahn. "Development of an interactive game-based mirror image hand rehabilitation system." Intelligent Service Robotics 12, no. 2 (2019): 149–57. http://dx.doi.org/10.1007/s11370-018-00272-5.

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35

Iqbal, Jamshed, Hamza Khan, Nikos G. Tsagarakis, and Darwin G. Caldwell. "A novel exoskeleton robotic system for hand rehabilitation – Conceptualization to prototyping." Biocybernetics and Biomedical Engineering 34, no. 2 (2014): 79–89. http://dx.doi.org/10.1016/j.bbe.2014.01.003.

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36

Oreshkov, A. B., and M. Abdulrakhim. "System rehabilitation of patients with plegiae, "spastic hand" syndrome in living conditions ("hospital in the hand")." Genij Ortopedii, no. 1 (March 2016): 12–17. http://dx.doi.org/10.18019/1028-4427-2016-1-12-17.

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37

Borghese, N. Alberto, Jacopo Essenziale, Renato Mainetti, Elena Mancon, Rossella Pagliaro, and Giorgio Pajardi. "Hand Rehabilitation and Telemonitoring through Smart Toys." Sensors 19, no. 24 (2019): 5517. http://dx.doi.org/10.3390/s19245517.

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We describe here a platform for autonomous hand rehabilitation and telemonitoring of young patients. A toy embedding the electronics required to sense fingers pressure in different grasping modalities is the core element of this platform. The system has been realized following the user-centered design methodology taking into account stakeholder needs from start: clinicians require reliable measurements and the ability to get a picture remotely on rehabilitation progression; children have asked to interact with a pleasant and comfortable object that is easy to use, safe, and rewarding. These requirements are not antithetic, and considering both since the design phase has allowed the realization of a platform reliable to clinicians and keen to be used by young children.
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38

WATTS, A. M. I., M. GREENSTOCK, and R. P. COLE. "Outcome Following the Rehabilitation of Hand Trauma Patients." Journal of Hand Surgery 23, no. 4 (1998): 485–89. http://dx.doi.org/10.1016/s0266-7681(98)80128-9.

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Objective measures of hand function have been used to assess the outcome of rehabilitation following trauma. However, subjective assessments of function have been avoided by clinicians due to the difficulty in proving their validity and reliability. We have developed a subjective hand function scoring system (HFS), based on an activities of daily living assessment, which is used in planning and monitoring progress through rehabilitation. The HFS for 64 traumatic hand injuries were assessed on admission and discharge, and a significant improvement was found. There was a positive correlation between the HFS on admission and both the severity of injury, and the length of time off work. This scoring system is not validated, but this study illustrates the use of subjective functional scoring systems in the planning, delivery and evaluation of rehabilitation.
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39

Bi, Qian, and Can Jun Yang. "Design of a Hand Exoskeleton Rehabilitation Device." Advanced Materials Research 328-330 (September 2011): 1778–83. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.1778.

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As stroke is one of the most morbidity disease, some rehabilitation devices has been developed to solve the problem, but there isn’t maturation in hand. This paper presents a new hand exoskeleton rehabilitation device to improve the result of rehabilitation and help doctors to perfect theory about hand rehabilitation. We set 8 DOF in this three fingers device, with 2 active DOF and 1 coupled DOF in index or middle finger, 1 active DOF and 1 passive DOF in thumb. The 5 active DOF is driven by motors. The transmission consists of screw nut and multi-link mechanism. We control the device through a typical secondary control system. As this device is designed to help patients not only regain the range of flexion/extension but also complete some typical simple grasping movements. To substantiate the feasibility, an experiment has been carried out. Finally, Suggestions for improvement are given.
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40

Zhang, Fuhai, Legeng Lin, Lei Yang, and Yili Fu. "Design of an Active and Passive Control System of Hand Exoskeleton for Rehabilitation." Applied Sciences 9, no. 11 (2019): 2291. http://dx.doi.org/10.3390/app9112291.

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Aiming at stroke patients’ hand rehabilitation training, we present a hand exoskeleton with both active and passive control modes for neural rehabilitation. The exoskeleton control system is designed as a human–robot interaction control system based on field-programmable gate array (FPGA) and Android mobile terminal with good portability and openness. Passive rehabilitation pattern based on proportional derivative (PD) inverse dynamic control method and active rehabilitation pattern based on impedance method, are established respectively. By the comparison of the threshold value and the force on the fingertip of the exoskeleton from the sensor, the automatic switch between active and passive rehabilitation mode is accomplished. The hand model is built in Android environment that can synchronize the movement of the hand. It can also induce patients to participate in rehabilitation training actively. To verify the proposed control approach, we set up and conduct an experiment to do the passive rehabilitation mode, active rehabilitation mode, and active plus passive mode experimental researches. The experiment results effectively verify the feasibility of the exoskeleton system fulfilling the proposed control strategy.
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41

Yue, Zan, Xue Zhang, and Jing Wang. "Hand Rehabilitation Robotics on Poststroke Motor Recovery." Behavioural Neurology 2017 (2017): 1–20. http://dx.doi.org/10.1155/2017/3908135.

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The recovery of hand function is one of the most challenging topics in stroke rehabilitation. Although the robot-assisted therapy has got some good results in the latest decades, the development of hand rehabilitation robotics is left behind. Existing reviews of hand rehabilitation robotics focus either on the mechanical design on designers’ view or on the training paradigms on the clinicians’ view, while these two parts are interconnected and both important for designers and clinicians. In this review, we explore the current literature surrounding hand rehabilitation robots, to help designers make better choices among varied components and thus promoting the application of hand rehabilitation robots. An overview of hand rehabilitation robotics is provided in this paper firstly, to give a general view of the relationship between subjects, rehabilitation theories, hand rehabilitation robots, and its evaluation. Secondly, the state of the art hand rehabilitation robotics is introduced in detail according to the classification of the hardware system and the training paradigm. As a result, the discussion gives available arguments behind the classification and comprehensive overview of hand rehabilitation robotics.
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42

Kim, Hyeon-Min, and Gab-Soon Kim. "Development of Hand and Fingers Fixing System for Stroke Patient's Rehabilitation Exercise." Journal of the Korean Society of Precision Engineering 29, no. 7 (2012): 753–61. http://dx.doi.org/10.7736/kspe.2012.29.7.753.

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43

Wang, Hsiaoshen, Chaoli Hsu, Chihwei Chiu, and Sung-Nan TSAL. "The Design and Implementation of Augmented Reality Gaming System in Hand Rehabilitation." Communications in Information Science and Management Engineering 1, no. 8 (2011): 37–40. http://dx.doi.org/10.5963/cisme0108009.

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44

Chiu, Yu-Hsien, Tien-Wen Chen, Yenming J. Chen, Ching-I. Su, Kao-Shing Hwang, and Wen-Hsien Ho. "Fuzzy logic-based mobile computing system for hand rehabilitation after neurological injury." Technology and Health Care 26, no. 1 (2018): 17–27. http://dx.doi.org/10.3233/thc-171403.

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45

FUKANO, Tomoe, Satoshi SHIMA, and Motohide IIO. "3D1-03 Rehabilitation system for human hand movements using simple link mechanisms." Proceedings of the JSME Symposium on Welfare Engineering 2006 (2006): 236–39. http://dx.doi.org/10.1299/jsmewes.2006.236.

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46

Dovat, L., O. Lambercy, R. Gassert, et al. "HandCARE: A Cable-Actuated Rehabilitation System to Train Hand Function After Stroke." IEEE Transactions on Neural Systems and Rehabilitation Engineering 16, no. 6 (2008): 582–91. http://dx.doi.org/10.1109/tnsre.2008.2010347.

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47

Chen, Yi-Tai, Nguyen Van Hieu, Thien Luan Phan, Tzong Shiun Li, Siang-Ru Chen, and Congo Tak Shing Ching. "A Dynamic Joint Angle Measurement Device for an Active Hand Rehabilitation System." Journal of Healthcare Engineering 2021 (March 4, 2021): 1–13. http://dx.doi.org/10.1155/2021/6688345.

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Traditional methods of measuring a joint angle are neither repeatable nor accurate and cannot instantly display, record, and upload the data onto a cloud drive. These mechanisms require development if they are to be used to evaluate rehabilitation programs. This pilot study aim is to create a simple dynamic joint angle measurement system and develop a hand rehabilitation application for stroke users using small and sensitive 3-axis accelerometers. Using Bluetooth communication technology, an electrogoniometer is developed to measure the free range of motion of lower limb joints and automatically send and save all data on to a cloud drive. The reliability of the proposed device is evaluated by comparison with a commercial electrogoniometer. Five healthy youth subjects and five health elderly subjects are involved in the evaluation process for this pilot study. The accuracy and repeatability of the proposed device are tested using Bland–Altman plots and linear correlation analysis. Measurements that were made by the proposed device and a commercial electrogoniometer are shown to be comparable and repeatable, as confirmed by Bland–Atman plots. There is also a very high degree of linear correlation (R2 > 0.99 for all joint angle measurements) between the lower limb joint angles that are measured using both devices. In conclusion, a portable, highly accurate and repeatable device was designed to be used for clinical assessment and for rehabilitation application that gives increased motivation to the user.
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48

Prieto, Pablo, Fernando Auat, Maria Escobar, et al. "Robotic Care: A Low Cost Design to Assist Therapy for Brain Stroke Rehabilitation." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 975–84. http://dx.doi.org/10.1017/dsi.2019.103.

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AbstractA low cost robotic-assisted prototype for finger and hand rehabilitation of people affected by a stroke is presented. The system was developed by a team of undergraduate students led by a Design lecturer in collaboration with the Rehabilitation Unit of the Peñablanca Public Hospital in Chile.The system consists of a flexion sensor equipped glove, a hand exoskeleton and an Arduino control unit. The patient wears the glove in his healthy hand. When s/he performs movements with the healthy hand, the sensors register the flexion of the fingers and send this information to the servo motors installed in an exoskeleton attached to the affected hand. In this way, the affected hand reproduces the movement of the healthy hand. The system uses a combination of the mirror therapy (the patient sees his/her affected hand moving in the same way that the healthy hand does) and passive exercising (as the exoskeleton produces the movement of the hand affected by the stroke). The combination of two types of therapy in a single low cost system makes the present work unique. In the near future, the developed prototype will be used to validate the effectiveness of the new proposed robotic therapy.
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49

Iwatsuki, Katsuyuki, Minoru Hoshiyama, Shintaro Oyama, Shingo Shimoda, and Hitoshi Hirata. "Magnetoencephalographic evaluation for the myoelectric hand prosthesis with tacit learning system." NeuroRehabilitation 44, no. 1 (2019): 19–23. http://dx.doi.org/10.3233/nre-182514.

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50

Phan, Huu Lam, Jong Pal Kim, Kwangsoo Kim, Chang Ho Hwang, and Kyo-in Koo. "Wrist Rehabilitation System Using Augmented Reality for Hemiplegic Stroke Patient Rehabilitation: A Feasibility Study." Applied Sciences 9, no. 14 (2019): 2892. http://dx.doi.org/10.3390/app9142892.

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Objective: Our objective was to investigate the effect of the rehabilitation system using augmented reality (AR) on upper extremity motor performance of patients with stroke. Methods: The system using AR applying mirror therapy mechanism provides the intervention protocol for the patient with hemiplegia after stroke. The system consists of a patient positioning tool (a chair), a white surface table, an image acquisition unit, an image processing unit, an image displaying unit, an arm holder, a Velcro-strap, and two blue circle stickers. To assess the feasibility of our system in motor function recovery, a stroke patient was recruited to receive the AR intervention. The treatment was performed two times a day for ten minutes over two weeks (ten days of treating weeks), except for the time of installation, calibration, and three minute breaks. Jebsen Taylor hand function test and Arm Motor Fugl-Meyer assessment were used as primary and secondary outcome measures, respectively, to evaluate the effect of motor function recovery. Additionally, stroke impact scale, Korean version-Modified Barthel Index (K-MBI), active range of motion of wrist joint (ROM), and the grasp force in Newtons were measured. Participants’ feedback and adverse effects were recorded as well. Results: Motor function improvements were exhibited in wrist and hand subtest of Arm Motor Fugl-Meyer (baseline: 19; post-intervention: 23), proximal arm subtest of Fugl-Meyer (baseline: 31; post-intervention: 34), ROM (extending ROM: 10° and 3° for flexion and extension, repeatedly), stroke impact scale (baseline: 46; post-intervention: 54), K-MBI (baseline: 92; post-intervention: 95), nine-hole pegboard (baseline: 30 s; post-intervention: 25 s), and grasp force in Newtons (baseline: 12.7; post-intervention: 17.7). However, the adverse effects were reported after the intervention. Conclusion: The system using AR applying mirror therapy mechanism demonstrated the feasibility in motor function recovery for the stroke patient.
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