Investigating the Devices that Measure and Improve Grip Strength Through Telerehabilitation: A Scoping Review
,
Abstract
Introduction: Grip strength is a vital hand function skill required to perform everyday tasks. Diseases and conditions deteriorate grip strength. Repetitive exercises can improve grip strength, but people are non-compliant with home exercise programs. Gamification of exercises can increase home exercise compliance. A device is needed to measure and rehabilitate grip strength and to deliver exercises remotely. A preliminary search on that topic did not provide any review literature on grip-strength devices. Accordingly, this scoping literature review (SLR) explores various electronic devices and sensors used to measure grip strength.
Materials and Methods: Five electronic databases, namely PubMed, IEEE, Scopus, ACM digital library, and Web of Science, were searched. Modified preferred reporting items for systematic literature review and meta-analysis guidelines were used, with population/disease, intervention, comparison, and outcome framework employed to identify keywords and frame the research questions.
Results: The results of the search yielded 3546 articles, and after elimination, 15 articles met the inclusion criteria for this review. Hence, this review has categorized various devices and sensors that measured grip strength, along with their wireless communication and gamification capabilities.
Conclusion: The categorization presented in this review can help researchers use this information for future directions by emphasizing research gaps and designing telerehabilitation devices.
Harris JE, Eng JJ. Strength training improves upper-limb function in individuals with stroke: A meta-analysis. Stroke. 2010; 41(1):136-40. [DOI:10.1161/STROKEAHA.109.567438] [PMID]
Wist S, Clivaz J, Sattelmayer M. Muscle strengthening for hemiparesis after stroke: A meta-analysis. Annals of Physical and Rehabilitation Medicine. 2016; 59(2):114-24. [DOI:10.1016/j.rehab.2016.02.001] [PMID]
Hong J, Kim J, Kim SW, Kong HJ. Effects of home-based tele-exercise on sarcopenia among community-dwelling elderly adults: Body composition and functional fitness. Experimental Gerontology. 2017 ; 87(Pt A):33-9. [DOI:10.1016/j.exger.2016.11.002] [PMID]
Innes E. Handgrip strength testing: A review of the literature. Australian Occupational Therapy Journal. 1999; 46(3):120-40. [DOI:10.1046/j.1440-1630.1999.00182.x]
Kitchenham B, Charters S. Guidelines for performing systematic literature reviews in software engineering. EBSE Technical Report. EBSE; 2007. [Link]
Kloda LA, Boruff JT, Cavalcante AS. A comparison of patient, intervention, comparison, outcome (PICO) to a new, alternative clinical question framework for search skills, search results, and self-efficacy: A randomized controlled trial.Journal of the Medical Library Association. 2020; 108(2):185-94. [DOI:10.5195/jmla.2020.739] [PMID]
Bramer WM, de Jonge GB, Rethlefsen ML, Mast F, Kleijnen J. A systematic approach to searching: An efficient and complete method to develop literature searches. Journal of the Medical Library Association. 2018; 106(4):531-41. [DOI:10.5195/jmla.2018.283]
Sarfo FS, Ulasavets U, Opare-Sem OK, Ovbiagele B. Tele-Rehabilitation after stroke: An updated systematic review of the literature. Journal of Stroke and Cerebrovascular Diseases. 2018; 27(9):2306-18. [DOI:10.1016/j.jstrokecerebrovasdis.2018.05.013] [PMID]
Tchero H, Tabue Teguo M, Lannuzel A, Rusch E. Telerehabilitation for Stroke Survivors: Systematic review and meta-analysis. Journal of Medical Internet Research. 2018; 20(10):e10867. [DOI:10.2196/10867] [PMID]
Rintala A, Päivärinne V, Hakala S, Paltamaa J, Heinonen A, Karvanen J, et al. Effectiveness of technology-based distance physical rehabilitation interventions for improving physical functioning in stroke: A systematic review and meta-analysis of randomized controlled trials. Archives of Physical Medicine and Rehabilitation. 2019; 100(7):1339-58. [DOI:10.1016/j.apmr.2018.11.007] [PMID]
Chen J, Jin W, Zhang XX, Xu W, Liu XN, Ren CC. Telerehabilitation approaches for stroke patients: Systematic review and meta-analysis of randomized controlled trials. Journal of Stroke and Cerebrovascular Diseases. 2015; 24(12):2660-8. [DOI:10.1016/j.jstrokecerebrovasdis.2015.09.014] [PMID]
Chen Y, Abel KT, Janecek JT, Chen Y, Zheng K, Cramer SC. Home-based technologies for stroke rehabilitation: A systematic review. International Journal of Medical Informatics. 2019 ; 123:11-22. [DOI:10.1016/j.ijmedinf.2018.12.001] [PMID]
Noh N, Kadri NA, Usman J. Development of arduino-based hand dynamometer assistive device. Journal of Mechanics in Medicine and Biology. 2016; 16(03):1650033. [DOI:10.1142/S0219519416500330]
Jaspers E, Klingels K, Simon-Martinez C, Feys H, Woolley DG, Wenderoth N. GriFT: A device for quantifying physiological and pathological mirror movements in children. IEEE Transactions on Biomedical Engineering. 2018; 65(4):857-65. [DOI:10.1109/TBME.2017.2723801]
Roman AI, Poboroniuc MS, Sticea D, Irimia DC. A novel hardware and software interface for a grip force tracking system. Paper presented at: 2020 International Conference and Exposition on Electrical And Power Engineering (EPE). 22-23 October 2020; Iasi, Romania. [DOI:10.1109/EPE50722.2020.9305590]
Vu T, Tran H, Song C, Lin F, Langan J, Cavuoto L, et al. BiGRA: A preliminary bilateral hand grip coordination rehabilitation using home-based evaluation system for stroke patients. Paper presented at: 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN). 04-07 March 2018; Las Vegas, NV, USA. [DOI:10.1109/BSN.2018.8329647]
Rinne P, Mace M, Nakornchai T, Zimmerman K, Fayer S, Sharma P, et al. Democratizing neurorehabilitation: How accessible are low-cost mobile-gaming technologies for self-rehabilitation of arm disability in stroke? PLoS One. 2016; 11(10):e0163413. [DOI:10.1371/journal.pone.0163413] [PMID]
Salaffi F, Carotti M, Farah S, Ceccarelli L, Di Carlo M. Handgrip strength features in rheumatoid arthritis patients assessed using an innovative {cylindrical-shaped} device: Relationships with demographic, anthropometric and clinical variables. Journal of Medical Systems. 2021; 45(11):100. [PMID]
Park W, Jeong W, Kwon GH, Kim YH, Kim L. A rehabilitation device to improve the hand grasp function of stroke patients using a patient-driven approach. IEEE International Conference on Rehabilitation Robotics. 2013; 2013:6650482. [PMID]
Jaber R, Hewson DJ, Duchêne J. Design and validation of the Grip-ball for measurement of hand grip strength. Medical Engineering & Physics. 2012; 34(9):1356-61. [DOI:10.1016/j.medengphy.2012.07.001] [PMID]
Mohan A, Devasahayam SR, Tharion G, George J. A sensorized glove and ball for monitoring hand rehabilitation therapy in stroke patients. Paper presented at: 2013 Texas Instruments India Educators’ Conference. 4 April 2013; Bangalore, India. [DOI:10.1109/TIIEC.2013.64]
Burdea G, Polistico K, Kim N, Kadaru A, Roll D, Grampurohit N. Novel Therapeutic game controller for telerehabilitation of spastic hands: Two case studies. Paper presented at: 2019 International Conference on Virtual Rehabilitation (ICVR). 21-24 July 2019; Tel Aviv, Israel. [DOI:10.1109/ICVR46560.2019.8994586]
Park JS, Lee G, Choi JB, Hwang NK, Jung YJ. Game-based hand resistance exercise versus traditional manual hand exercises for improving hand strength, motor function, and compliance in stroke patients: A multi-center randomized controlled study. NeuroRehabilitation. 2019; 45(2):221-7. [DOI:10.3233/NRE-192829] [PMID]
Pani D, Barabino G, Dessì A, Tradori I, Piga M, Mathieu A, et al. A device for local or remote monitoring of hand rehabilitation sessions for rheumatic patients. IEEE Journal of Translational Engineering in Health and Medicine. 2014; 2:2100111. [PMID]
Chethana K, Honnungar RV, Jahan I, Haripriya N. Design and calibration of fiber bragg grating sensor for analysis of real time skeletal hand muscle strength. Paper presented: 2020 IEEE International Conference for Innovation in Technology (INOCON). 06-08 November 2020; Bangluru, India. [DOI:10.1109/INOCON50539.2020.9298403]
Hoffman H, Sierro T, Niu T, Sarino ME, Sarrafzadeh M, McArthur D, et al. Rehabilitation of hand function after spinal cord injury using a novel handgrip device: A pilot study. Journal of Neuroengineering and Rehabilitation. 2017; 14(1):22. [DOI:10.1186/s12984-017-0234-1] [PMID]
Geman O, Hagan M, Chiuchisan I. A novel device for peripheral neuropathy assessment and rehabilitation. Paper presented at: 2016 International Conference and Exposition on Electrical and Power Engineering (EPE). 20-22 October 2016; Iasi, Romania. [DOI:10.1109/ICEPE.2016.7781353]
No Author. Data Sheet PW6KRC3 [Internet]. 2022 [Updated4 January 2022]. Available from: [Link]
No Author. Data sheet Vernier Hand Dynamometer [Internet]. 2022 [Updated 2022 January 4]. Available from: [Link]
Burdet E, Mace MAV, Liardon JL, Bentley P, Paul R. Force measurement mechanism. 2019.
Bohannon RW. Minimal clinically important difference for grip strength: A systematic review. Journal of Physical Therapy science. 2019; 31(1):75-8. [DOI:10.1589/jpts.31.75] [PMID]
No Author. FSR 402 Data Sheet [Internet]. 2022 [Updated 4 January 2022]. Available from: [Link]
No Author. FlexiForceTM Standard Model A201 [Internet]. 2022 [4 January 2022]. Available from: [Link]
No Author. FC22 Compression Load Cell [Internet]. 2022 [Updated 4 January 2022]. Available from: [Link]
No Author. MS5535C - 14 bar Pressure Sensor Module [Internet]. 2022 [Updated 4 January 2022]. Available from: [Link]
No Author. 200 kPa on-chip temperature compensated silicon pressure sensors [Internet]. 2022 [Updated 4 January 2022]. Available from: [Link]
No Author. SingleTact [Internet]. 2022 [Updated 4 January 2022]. Available from: [Link]
Boroumand S, Mehraban AH, Dadgou M, Raji P. Virtual reality practice, computer games, and improvement of cerebral palsy balance: A single subject study. Journal of Modern Rehabilitation. 2017; 11(1):23-30. [DOI:10.18869/nirp.jmr.11.1.23]
| Issue | Vol 18 No 3 (2024) | |
| Section | Review Article(s) | |
| DOI | https://doi.org/10.18502/jmr.v18i3.16415 | |
| Keywords | ||
| Hand strength Smartphone Telerehabilitation Video games Stroke Muscle strength dynamometer | ||
| Rights and permissions | |
|
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
