Accessibility settings

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

Pilot studies (ehealth) (711) Usability of Apps and User Perceptions of mHealth (1862) Focus Groups and Qualitative Research for Human Factors Research (1622) Wearable Devices and Sensors (1686) Portable and Mobile Technologies for Rehabilitation (304) Design and Usability of Consumer Health Tech and Home Monitoring Devices (488)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73423, first published .
White wearable device with pink elastic strap and black buckle

User Experiences of Limb-Worn Wearable Devices for Monitoring Parkinson Disease Motor Function and Blood Pressure: Usability Study

User Experiences of Limb-Worn Wearable Devices for Monitoring Parkinson Disease Motor Function and Blood Pressure: Usability Study

Authors of this article:

Lorna Kenny1 Author Orcid Image ;   Marco Sica2 Author Orcid Image ;   Colum Crowe2 Author Orcid Image ;   Lauren O'Mahony1 Author Orcid Image ;   Brendan O'Flynn2 Author Orcid Image ;   David Scott Mueller3 Author Orcid Image ;   Salvatore Tedesco2 Author Orcid Image ;   John Barton2 Author Orcid Image ;   Suzanne Timmons1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. von Bosse A, Ziegler M, Heinrich S. Insights on Recruitment, Implementation, and Movement Pattern Detection by Exploring the Feasibility of Sensor-Based Insole Technology in Long-Term Care: Mixed Methods Feasibility Study. JMIR Formative Research 2026;10:e83133 View
  2. Shah H, Shah C. Usability and User Satisfaction With a Prototype Weighted Glove in People With Parkinson’s Disease: An Exploratory Secondary Analysis. Cureus 2026 View
  3. Hanrahan M, Lumsdon J, Wilson C, Bhadra E, Keogh A, Gur-Arieh T, Noyce A, Yarnall A, Rochester L, Mc Ardle R, Brittain K. Acceptability of Wearable Digital Devices for Remote Continuous Mobility Monitoring in People With Parkinson Disease and Carers: Qualitative Study. Journal of Medical Internet Research 2026;28:e98987 View

Conference Proceedings

  1. Tedesco S, Liu W, Crowe C, Sica M, Kenny L, O'Flynn B, Mueller D, Timmons S, Barton J. 2026 IEEE Sensors Applications Symposium (SAS). Human Activity Recognition in Parkinson's Disease Patients Using Dual Inertial Measurement Units and Machine Learning View