Evidence map›Paper›PMID 41852846›Full record

ArticleData in brief2026

MobiPhysio: A 2D video dataset of physiotherapy exercises for AI-driven assessment and monitoring.

Md Tauhid Bin Iqbal, Md Tawhid Mostafa, Md Tanvir Ahmed, Md Faiaz Fahim, Md Sagir Ahmed, Anik Ahamad, Khawja Redwanul Islam, Byungyong Ryu, Gihun Song, Md Zahid Hossain

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Md Tauhid Bin IqbalDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka 1212, Bangladesh.
Md Tawhid MostafaDepartment of Computer Science and Engineering, Stamford University Bangladesh, Mughda, Dhaka 1214, Bangladesh.
Md Tanvir AhmedDepartment of Computer Science and Engineering, Stamford University Bangladesh, Mughda, Dhaka 1214, Bangladesh.
Md Faiaz FahimDepartment of Computer Science and Engineering, Stamford University Bangladesh, Mughda, Dhaka 1214, Bangladesh.
Md Sagir AhmedAugmedix, Tejgaon I/A, Dhaka 1208, Bangladesh.
Anik AhamadDigital Health, Deggendorf Institute of Technology, 94469 Deggendorf, Germany.
Khawja Redwanul IslamUniversity of Wales Trinity Saint David, Birmingham, 636A, United Kingdom.
Byungyong RyuMeta Learn Inc., Hwaseong-si- 18469, South Korea.
Gihun SongLG Electronics, AI Lab, Seoul- 06772, South Korea.
Md Zahid HossainDepartment of Physiotherapy and Rehabilitation, Jashore University of Science and Technology, Jashore 7408, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present

Indexed as

2-dimensional visual datasetAI-guided remote physical therapyExercise assessment questionnairesRehabilitation support systemsVisual exercise evaluation

Identifiers

PMID41852846
PMCPMC12992533

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.