Evidence map›Paper›PMID 41655188›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Smart Headband for Multimodal Physiological Monitoring in Human Exercises.

Shiqiang Liu, Guanxing Chen, Jingyi Peng, Shuo Tian, Qian Mao, Caise Wei, Jinfeng Yuan, Rong Zhu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

8 authors.

Shiqiang LiuState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-1038-6651
Guanxing ChenState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.ORCID https://orcid.org/0009-0008-8371-8929
Jingyi PengState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.
Shuo TianState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.
Qian MaoState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-4244-6903
Caise WeiState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.ORCID https://orcid.org/0009-0005-2127-7409
Jinfeng YuanState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.
Rong ZhuState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.

Funding

Beijing Natural Science Foundation L247001National Natural Science Foundation of China 51735007National Natural Science Foundation of China 62003184National Natural Science Foundation of China 62401333Postdoctoral Science Foundation of China 2023M742014
6 · The paper itself

Abstract

Wearable multimodal physiological monitoring plays a crucial role in sports training and contest, personalized health management, and exercise rehabilitation. However, challenges in continuous and accurate physiological signal acquisition, motion artifact in human exercises, and wearable convenience with multimodal integration, hinder its practical applications. Here, we propose a smart headband using a thermal-sensation-based electronic skin (e-skin) for continuously and accurately monitoring multimodal physiological parameters, including pulse pressure waveform, total metabolic energy cost, heart rate, and forehead temperature. The headband allows accurate and continuous monitoring under both static and dynamic conditions for indoor and outdoor activities in real life. The effectiveness and robustness of multimodal physiological monitoring is validated across various human activities including resting, walking, jogging, bicycling, hill climbing and even long-distance running. Significant physiological variations with fatigue are uncovered, potentially revealing rich information about cardiac load, cardiovascular condition, and potential risk.

Indexed as

ExerciseWearable Electronic DevicesBlood PressureHeart RateHumansMonitoring, Physiologic

Identifiers

PMID41655188
PMCPMC13088344

What OpenQuestion holds

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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.