[HTML][HTML] Effectiveness of using virtual reality–supported exercise therapy for upper extremity motor rehabilitation in patients with stroke: systematic review and meta …

J Chen, CK Or, T Chen - Journal of medical Internet research, 2022 - jmir.org
Background In recent years, efforts have been made to implement virtual reality (VR) to
support the delivery of poststroke upper extremity motor rehabilitation exercises. Therefore, it …

The effect of mobile application-based rehabilitation in patients with total knee arthroplasty: a systematic review and meta-analysis

F Özden, Z Sarı - Archives of gerontology and geriatrics, 2023 - Elsevier
Objective Mobile applications have been used frequently in post-operative orthopaedic
rehabilitation in recent years. However, no systematic review has emphasized the …

A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual …

K Liu, CK Or, M So, B Cheung, B Chan, A Tiwari… - Applied Ergonomics, 2022 - Elsevier
Abstract Background Health information technologies (HITs) are increasingly being used to
support the self-management of chronic diseases. However, patients' initial or continued …

Physiotherapy exercise classification with single-camera pose detection and machine learning

C Arrowsmith, D Burns, T Mak, M Hardisty, C Whyne - Sensors, 2022 - mdpi.com
Access to healthcare, including physiotherapy, is increasingly occurring through virtual
formats. At-home adherence to physical therapy programs is often poor and few tools exist to …

Path analysis of the roles of age, self-efficacy, and TAM constructs in the acceptance of performing upper limb exercises through immersive virtual reality games

T Chen, J Chen, CK Or, FP Lo - International Journal of Industrial …, 2022 - Elsevier
Objective We aimed to assess whether individuals accept performing upper limb exercises
using immersive VR games, indicated by behavioral intention, and the roles of age, self …

Perceptions of a machine learning-based lower-limb exercise training system among older adults with knee pain

T Chen, CK Or - Digital Health, 2023 - journals.sagepub.com
Objective To facilitate the older adults with knee pain to perform exercises and improve knee
health, we proposed the design of a machine learning-based system for lower-limb exercise …

[HTML][HTML] Consumers' willingness to pay for eHealth and its influencing factors: systematic review and meta-analysis

Z Xie, J Chen, CK Or - Journal of Medical Internet Research, 2022 - jmir.org
Background Despite the great potential of eHealth, substantial costs are involved in its
implementation, and it is essential to know whether these costs can be justified by its …

Automated machine learning-based prediction of the progression of knee pain, functional decline, and incidence of knee osteoarthritis in individuals at high risk of …

T Chen, CK Or - Digital Health, 2023 - journals.sagepub.com
Objective This study aimed to examine the performance of machine learning models in
predicting the progression of knee pain, functional decline, and incidence of knee …

Real-time AI-assisted visual exercise pose correctness during rehabilitation training for musculoskeletal disorder

D Ekambaram, V Ponnusamy - Journal of Real-Time Image Processing, 2024 - Springer
Exercise therapy is a prominent method for recovering from musculoskeletal disorders like
Work-related Musculoskeletal Disorder (WMSD), Classroom-related Musculoskeletal …