Literature DB >> 28628594

Telehealth, Wearable Sensors, and the Internet: Will They Improve Stroke Outcomes Through Increased Intensity of Therapy, Motivation, and Adherence to Rehabilitation Programs?

Jane H Burridge1, Alan Chong W Lee, Ruth Turk, Maria Stokes, Jill Whitall, Ravi Vaidyanathan, Phil Clatworthy, Ann-Marie Hughes, Claire Meagher, Enrico Franco, Lucy Yardley.   

Abstract

BACKGROUND AND
PURPOSE: Stroke, predominantly a condition of older age, is a major cause of acquired disability in the global population and puts an increasing burden on health care resources. Clear evidence for the importance of intensity of therapy in optimizing functional outcomes is found in animal models, supported by neuroimaging and behavioral research, and strengthened by recent meta-analyses from multiple clinical trials. However, providing intensive therapy using conventional treatment paradigms is expensive and sometimes not feasible because of social and environmental factors. This article addresses the need for cost-effective increased intensity of practice and suggests potential benefits of telehealth (TH) as an innovative model of care in physical therapy. SUMMARY OF KEY POINTS: We provide an overview of TH and present evidence that a web-supported program, used in conjunction with constraint-induced therapy (CIT), can increase intensity and adherence to a rehabilitation regimen. The design and feasibility testing of this web-based program, "LifeCIT," is presented. We describe how wearable sensors can monitor activity and provide feedback to patients and therapists. The methodology for the development of a wearable device with embedded inertial and mechanomyographic sensors, algorithms to classify functional movement, and a graphical user interface to present meaningful data to patients to support a home exercise program is explained. RECOMMENDATIONS FOR CLINICAL PRACTICE: We propose that wearable sensor technologies and TH programs have the potential to provide most-effective, intensive, home-based stroke rehabilitation.

Entities:  

Mesh:

Year:  2017        PMID: 28628594     DOI: 10.1097/NPT.0000000000000183

Source DB:  PubMed          Journal:  J Neurol Phys Ther        ISSN: 1557-0576            Impact factor:   3.649


  16 in total

1.  Functional measurement post-stroke via mobile application and body-worn sensor technology.

Authors:  Nancy Fell; Hanna H True; Brandon Allen; Austin Harris; Jin Cho; Zhen Hu; Mina Sartipi; Krystal K Place; Rebecca Salstrand
Journal:  Mhealth       Date:  2019-10-08

2.  New advances in mechanomyography sensor technology and signal processing: Validity and intrarater reliability of recordings from muscle.

Authors:  Claire Meagher; Enrico Franco; Ruth Turk; Samuel Wilson; Nathan Steadman; Lauren McNicholas; Ravi Vaidyanathan; Jane Burridge; Maria Stokes
Journal:  J Rehabil Assist Technol Eng       Date:  2020-04-09

Review 3.  Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment.

Authors:  Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Friedhelm C Hummel
Journal:  J Neuroeng Rehabil       Date:  2019-11-19       Impact factor: 4.262

Review 4.  Effectiveness of Upper Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: Systematic Review.

Authors:  Jack Parker; Lauren Powell; Susan Mawson
Journal:  J Med Internet Res       Date:  2020-01-08       Impact factor: 5.428

5.  Effect of Internet-Based Rehabilitation Programs on Improvement of Pain and Physical Function in Patients with Knee Osteoarthritis: Systematic Review and Meta-analysis of Randomized Controlled Trials.

Authors:  Su-Hang Xie; Qian Wang; Li-Qiong Wang; Lin Wang; Kang-Ping Song; Cheng-Qi He
Journal:  J Med Internet Res       Date:  2021-01-05       Impact factor: 5.428

6.  Trustworthiness, Readability, and Suitability of Web-Based Information for Stroke Prevention and Self-Management for Korean Americans: Critical Evaluation.

Authors:  Mikyoung A Lee; Cha-Nam Shin; Kyungeh An
Journal:  Interact J Med Res       Date:  2018-07-20

7.  Perspectives on the prospective development of stroke-specific lower extremity wearable monitoring technology: a qualitative focus group study with physical therapists and individuals with stroke.

Authors:  Dennis R Louie; Marie-Louise Bird; Carlo Menon; Janice J Eng
Journal:  J Neuroeng Rehabil       Date:  2020-02-25       Impact factor: 4.262

8.  A Multimodal Intention Detection Sensor Suite for Shared Autonomy of Upper-Limb Robotic Prostheses.

Authors:  Marcus Gardner; C Sebastian Mancero Castillo; Samuel Wilson; Dario Farina; Etienne Burdet; Boo Cheong Khoo; S Farokh Atashzar; Ravi Vaidyanathan
Journal:  Sensors (Basel)       Date:  2020-10-27       Impact factor: 3.576

9.  Enabling Older Adults' Health Self-Management through Self-Report and Visualization-A Systematic Literature Review.

Authors:  Gabriela Cajamarca; Valeria Herskovic; Pedro O Rossel
Journal:  Sensors (Basel)       Date:  2020-08-04       Impact factor: 3.576

10.  The feasibility and effectiveness of internet-based rehabilitation for patients with knee osteoarthritis: A study protocol of randomized controlled trial in the community setting.

Authors:  Su-Hang Xie; Qian Wang; Li-Qiong Wang; Si-Yi Zhu; Yi Li; Cheng-Qi He
Journal:  Medicine (Baltimore)       Date:  2020-10-30       Impact factor: 1.817

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