Expanding the functional scope of AI-driven rehabilitation exergames: multimodal biofeedback and adaptive safety monitoring

We extend Tannús and colleagues’ AI-driven rehabilitation exergame by proposing a closed-loop adaptive framework integrating real-time heart rate monitoring for cardiovascular safety. A three-phase validation roadmap is outlined. This commentary provides a technically specified pathway to transform passive motor assessment into responsive, safe home rehabilitation for stroke survivors.

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Publication Details

Journal
npj Digital Medicine
Published
2026-10-09
DOI
https://doi.org/10.1038/s41746-026-03141-z
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
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article

Expanding the functional scope of AI-driven rehabilitation exergames: multimodal biofeedback and adaptive safety monitoring

Ziwei Hou, Chen Chen
npj Digital Medicine
Stroke Rehabilitation and Recovery
article

Expanding the functional scope of AI-driven rehabilitation exergames: multimodal biofeedback and adaptive safety monitoring

Ziwei Hou, Chen Chen
article en

Abstract

We extend Tannús and colleagues’ AI-driven rehabilitation exergame by proposing a closed-loop adaptive framework integrating real-time heart rate monitoring for cardiovascular safety. A three-phase validation roadmap is outlined. This commentary provides a technically specified pathway to transform passive motor assessment into responsive, safe home rehabilitation for stroke survivors.

npj Digital MedicineVol. 9(1)
Shanxi Medical University (CN), Shanxi Cardiovascular Hospital (CN)
Openalex Percentile: Top 17%
Stroke Rehabilitation and Recovery
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