Evidence map›Paper›PMID 41829469›Full record

ArticleSensors (Basel, Switzerland)2026

Seconds Matter: Rapid Non-Contact Monitoring of Heart and Respiratory Rate from Face Videos.

Taha Khan, Péter Pál Boda, Annette Björklund, Stefan Malmberg

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

4 authors.

Taha KhanDetectivio AB, 41390 Gothenburg, Sweden.ORCID 0000-0003-0878-8130
Péter Pál BodaDetectivio AB, 41390 Gothenburg, Sweden.ORCID 0000-0002-6801-9926
Annette BjörklundDetectivio AB, 41390 Gothenburg, Sweden.
Stefan MalmbergSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden.ORCID 0000-0002-8094-2086

Funding

Afa Insurance Sweden 200129Healthcare Board, Region Västra Götaland, Sweden ALFGBG-938096Swedish Medical Association SLS-937956VINNOVA 2020-03938
6 · The paper itself

Abstract

Accurate, non-contact vital-sign monitoring promises a scalable alternative to conventional sensors, yet low signal quality and long recording times have limited real-life adoption. We present a dual-modality system that combines Eulerian video magnified remote photoplethysmography (rPPG) from facial videos with optical flow-based shoulder tracking to estimate heart rate (HR) and respiratory rate (RR) from ultra-short 15 s recordings. With 200 participants, each providing 2 videos, 387 videos passed strict usability criteria, excluding flicker, blur, occlusion, and low illumination. For 15 s recordings, the HR estimates reached 98.5% accuracy within a ±10 beats per minute tolerance (MAE = 3.25, RMSE = 4.88, r = 0.93;

Indexed as

FaceHeart RateRespiratory RateVideo RecordingAdultFemaleHumansMaleMonitoring, PhysiologicPhotoplethysmographyEulerian video magnificationheart ratenon-contact vital signsremote photoplethysmographyrespiratory rate

Identifiers

PMID41829469
PMCPMC12987125

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.