Evidence map›Paper›PMID 42451250›Full record

ArticleSensors (Basel, Switzerland)2026

A Multimodal Closed-Loop Framework for Vital Sign Monitoring and Intelligent Diagnosis of Amusement Ride Passengers Under High-Dynamic Motion.

Yikun Wu, Yulong Song, Hao Yang, Ming Zhang

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.

Yikun WuSchool of Design and Art, Beijing Technology and Business University, Beijing 100048, China.
Yulong SongSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.ORCID 0009-0006-4716-6325
Hao YangSchool of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.
Ming ZhangSchool of Design and Art, Beijing Technology and Business University, Beijing 100048, China.ORCID 0009-0000-0426-6584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-dynamic amusement ride conditions involving impacts, rapid rotations, and abrupt posture changes introduce severe motion artifacts that degrade vital sign quality and destabilize physiological state recognition. This study aims to develop an engineering-ready closed-loop framework for robust passenger monitoring and intelligent diagnosis. A multimodal sensing and modeling pipeline was designed to jointly leverage physiological signals such as heart rate and SpO

Indexed as

Vital SignsAlgorithmsHeart RateHumansMonitoring, PhysiologicMotionSignal Processing, Computer-Assistedclosed-loop frameworkintelligent diagnosismotion artifactspassenger monitoringphysiological-state recognitionvital-sign quality

Identifiers

PMID42451250
PMCPMC13364426

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.