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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93413, first published .
Woman walking on a sunny city sidewalk lined with trees and buildings

Wearable Sensors in Gait Assessment for Parkinson Disease and Stroke in Real-World Environments: Systematic Review and Meta-Analysis

Wearable Sensors in Gait Assessment for Parkinson Disease and Stroke in Real-World Environments: Systematic Review and Meta-Analysis

Saskia Neumann   1, 2 * , MSc ;   Jose Albites-Sanabria   1, 3 * , PhD ;   Aileen C Naef   1, 4 , PhD ;   Andreas R Luft   5, 6, 7 , Prof Dr med ;   Lorenzo Chiari   3, 8 , Prof Dr ;   Chris Easthope Awai   1 , PhD

1 Data Analytics & Rehabilitation Technology (DART) at Lake Lucerne Institute, Vitznau, Switzerland

2 Faculty of Medicine, University of Zurich, Zurich, Switzerland

3 Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy

4 Rehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland

5 Department of Neuology, University of Zurich and University Hospital Zurich, Zurich, Switzerland

6 cereneo Center for Neurology and Rehabilitation, Vitznau, Switzerland

7 Lake Lucerne Institute, Vitznau, Switzerland

8 Health Sciences and Technologies, Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy

*these authors contributed equally

Corresponding Author:

  • Chris Easthope Awai, PhD
  • Data Analytics & Rehabilitation Technology (DART) at Lake Lucerne Institute
  • Rubistrasse 9
  • Vitznau 6354
  • Switzerland
  • Phone: 41 77 466 8135
  • Email: chris.awai@llui.org