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

Mobile Health (mhealth) (5079) Research Instruments, Questionnaires, and Tools (1173) mHealth for Data Collection and Research (1693) Wearable Devices and Sensors (1545) Fitness Trackers and Smart Pedometers/Accelerometers (784) Stroke (315)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66123, first published .
Elderly man with cane by window with pills and flowers on dresser

Toward Unsupervised Capacity Assessments for Gait in Neurorehabilitation: Validation Study

Toward Unsupervised Capacity Assessments for Gait in Neurorehabilitation: Validation Study

Authors of this article:

Aileen C Naef1, 2 Author Orcid Image ;   Guichande Duarte3 Author Orcid Image ;   Saskia Neumann1 Author Orcid Image ;   Migjen Shala4 Author Orcid Image ;   Meret Branscheidt4, 5 Author Orcid Image ;   Chris Easthope Awai1 Author Orcid Image
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  2. Martínez-Pozo V, Barbado D, Díaz-Marín C, García-Campos J, Blasco-Peris C, Ros-Arlanzón P, Moreno-Navarro L, Popivanov I, Mehrabian-Spasova S, Traykov L, Morillo-Merino B, García-Alonso E, Salas-Gómez D. Concurrent Validity and Reliability of Inertial Sensor-Based Wearables for Quantifying Spatial–Temporal Gait Parameters After Stroke: A Systematic Review. Brain Sciences 2026;16(7):662 View