Literature DB >> 31112461

Smartphone-based systems for physical rehabilitation applications: A systematic review.

Jose A Moral-Munoz1,2, Wenjuan Zhang3, Manuel J Cobo4, Enrique Herrera-Viedma5, David B Kaber3.   

Abstract

Tele-(remote) rehabilitation is attracting increased attention from society, including the research community and commercial marketplace with an estimated global market value of $160 billion. Meanwhile, mobile device-based healthcare ("mHealth") has appeared as a revolutionary approach to tele-rehabilitation practice. This paper presents a systematic review of the literature on smartphone-based systems designed for remote facilitation of physical rehabilitation. A total of 74 documents from Web of Science search results were reviewed. Systems were classified based on target medical conditions, and a taxonomy of technology was created along with identification of monitored activities. Beyond monitoring, some systems also provide patient-caregiver communication and progress management functions. The review identifies major research interests in stroke, cardiac disease, balance impairment and joint/limb rehabilitation; however, there is a lack of attention to other diseases. There are also few systems that have computerized existing clinical tests. On the basis of the review, design recommendations are formulated to encourage implementation of advanced functionalities, usability considerations, and system validation based on clinical evidence. Results of this study may help researchers and companies to design functions and interactions of smartphone-based rehabilitation systems or to select technology.

Entities:  

Keywords:  physical therapy; smartphone; tele-rehabilitation

Mesh:

Year:  2019        PMID: 31112461     DOI: 10.1080/10400435.2019.1611676

Source DB:  PubMed          Journal:  Assist Technol        ISSN: 1040-0435


  8 in total

1.  Research on Sports Health Care Information System Based on Computer Deep Learning Algorithm.

Authors:  Xiaojun Ma; Zhenfeng Zhang
Journal:  Comput Intell Neurosci       Date:  2022-06-30

2.  Influence of Core-Stability Exercises Guided by a Telerehabilitation App on Trunk Performance, Balance and Gait Performance in Chronic Stroke Survivors: A Preliminary Randomized Controlled Trial.

Authors:  Carina Salgueiro; Gerard Urrútia; Rosa Cabanas-Valdés
Journal:  Int J Environ Res Public Health       Date:  2022-05-07       Impact factor: 4.614

3.  A Stacked Human Activity Recognition Model Based on Parallel Recurrent Network and Time Series Evidence Theory.

Authors:  Peng Zhang; Zhenjiang Zhang; Han-Chieh Chao
Journal:  Sensors (Basel)       Date:  2020-07-19       Impact factor: 3.576

4.  Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer.

Authors:  Sarah Blum; Daniel Hölle; Martin Georg Bleichner; Stefan Debener
Journal:  Sensors (Basel)       Date:  2021-12-05       Impact factor: 3.576

5.  Perception, knowledge, and attitude of medical doctors in Saudi Arabia about the role of physiotherapists in vestibular rehabilitation: a cross-sectional survey.

Authors:  Danah Alyahya; Faizan Z Kashoo
Journal:  PeerJ       Date:  2022-03-07       Impact factor: 2.984

6.  Functional requirements of a mobile-based application for stroke self-management: A Delphi study.

Authors:  Hamidreza Tadayon; Seyed Ali Masoud; Ehsan Nabovati; Hossein Akbari; Mehrdad Farzandipour; Masoud Babaei
Journal:  Healthc Technol Lett       Date:  2022-07-31

7.  Impact of Visual Biofeedback of Trunk Sway Smoothness on Motor Learning during Unipedal Stance.

Authors:  Carlos Cruz-Montecinos; Antonio Cuesta-Vargas; Cristian Muñoz; Dante Flores; Joseph Ellsworth; Carlos De la Fuente; Joaquín Calatayud; Gonzalo Rivera-Lillo; Verónica Soto-Arellano; Claudio Tapia; Xavier García-Massó
Journal:  Sensors (Basel)       Date:  2020-05-01       Impact factor: 3.576

Review 8.  Emerging Designs of Electronic Devices in Biomedicine.

Authors:  Maria Laura Coluccio; Salvatore A Pullano; Marco Flavio Michele Vismara; Nicola Coppedè; Gerardo Perozziello; Patrizio Candeloro; Francesco Gentile; Natalia Malara
Journal:  Micromachines (Basel)       Date:  2020-01-22       Impact factor: 2.891

  8 in total

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