This paper is in the following e-collection/theme issue:

Digital Health Reviews (1540) Telehealth and Telemonitoring (1895) Mobile Health (mhealth) (3170) Wearable Devices and Sensors (1007) mHealth for Data Collection and Research (1087)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42950, first published .
An Exploration of Wearable Device Features Used in UK Hospital Parkinson Disease Care: Scoping Review

An Exploration of Wearable Device Features Used in UK Hospital Parkinson Disease Care: Scoping Review

An Exploration of Wearable Device Features Used in UK Hospital Parkinson Disease Care: Scoping Review

Authors of this article:

William Tam1 Author Orcid Image ;   Mohannad Alajlani1 Author Orcid Image ;   Alaa Abd-alrazaq2 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

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  2. Santamato V, Tricase C, Faccilongo N, Iacoviello M, Marengo A. Exploring the Impact of Artificial Intelligence on Healthcare Management: A Combined Systematic Review and Machine-Learning Approach. Applied Sciences 2024;14(22):10144 View
  3. Polvorinos-Fernández C, Sigcha L, Borzì L, Olmo G, Asensio C, López J, de Arcas G, Pavón I. Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers. Applied Sciences 2024;14(22):10189 View
  4. Graham B, Farrell M. Mortality prediction using data from wearable activity trackers and individual characteristics: An explainable artificial intelligence approach. Expert Systems with Applications 2025;267:126195 View
  5. 穆 茂. A Review of the Application Scope of Wearable Devices in Sarcopenia. Advances in Clinical Medicine 2025;15(03):1911 View
  6. Keba M, Bachmann M, Lass J, Rätsep T. Assessing Parkinson’s Rest Tremor from the Wrist with Accelerometry and Gyroscope Signals in Patients with Deep Brain Stimulation: An Observational Study. Journal of Clinical Medicine 2025;14(6):2073 View