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Dataset Information

Understanding stroke survivors' preferences regarding wearable sensor feedback on functional movement: a mixed-methods study.


ABSTRACT:

Background

In stroke rehabilitation, wearable technology can be used as an intervention modality by providing timely, meaningful feedback on motor performance. Stroke survivors' preferences may offer a unique perspective on what metrics are intuitive, actionable, and meaningful to change behavior. However, few studies have identified feedback preferences from stroke survivors. This project aims to determine the ease of understanding and movement encouragement of feedback based on wearable sensor data (both arm/hand use and mobility) for stroke survivors and to identify preferences for feedback metrics (mode, content, frequency, and timing).

Methods

A sample of 30 chronic stroke survivors wore a multi-sensor system in the natural environment over a 1-week monitoring period. T

SUBMITTER: Demers M 

PROVIDER: S-EPMC10621082 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature