Evidence map›Paper›PMID 42855477›Full record

ArticleNPJ digital medicine2026

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

Ziwei Hou, Chen Chen

Abstract readLetter
PubMed Publisher
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ziwei HouAcademy of Medical Sciences, Shanxi Medical University, Taiyuan, People's Republic of China.
Chen ChenDepartment of Neurology, Affiliated Cardiovascular Hospital of Shanxi Medical University; Shanxi Key Laboratory of Heart Failure Precision Medicine, Shanxi Cardiovascular Hospital, Taiyuan, People's Republic of China. chen.chen@sxmu.edu.cn.ORCID http://orcid.org/0000-0002-8663-2847

Funding

Shanxi Province Chinese Medicine Science and Technology special research project 2024ZYY2A023The Integration of Medicine, Engineering, and Basic Medical Sciences Special Project of Shanxi Provincial Health Commission 2025YGYL026
6 · The paper itself

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.

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.