Evidence map›Paper›PMID 39720763›Full record

ArticleHealthcare technology letters2024

Contactless and short-range vital signs detection with doppler radar millimetre-wave (76-81 GHz) sensing firmware.

Pi-Yun Chen, Hsu-Yung Lin, Zi-Heng Zhong, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

Abstract read
In one paragraph

Article in Healthcare technology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Pi-Yun ChenDepartment of Electrical Engineering National Chin-Yi University of Technology Taichung City Taiwan.
Hsu-Yung LinDepartment of Electrical Engineering National Chin-Yi University of Technology Taichung City Taiwan.
Zi-Heng ZhongDepartment of Electrical Engineering National Chin-Yi University of Technology Taichung City Taiwan.
Neng-Sheng PaiDepartment of Electrical Engineering National Chin-Yi University of Technology Taichung City Taiwan.
Chien-Ming LiDepartment of Medicine of Chi Mei Medical Center Chien-Ming Li is with the Division of Infectious Diseases Tainan City Taiwan.
Chia-Hung LinDepartment of Electrical Engineering National Chin-Yi University of Technology Taichung City Taiwan.ORCID https://orcid.org/0000-0003-0150-8001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vital signs such as heart rate (HR) and respiration rate (RR) are essential physiological parameters that are routinely used to monitor human health and bodily functions. They can be continuously monitored through contact or contactless measurements performed in the home or a hospital. In this study, a contactless Doppler radar W-band sensing system was used for short-range, contactless vital sign estimation. Frequency-modulated continuous wave (FMCW) measurements were performed to reduce the influence of a patient's micromotion. Sensing software was developed that can process the received chirps to filter and extract heartbeat and breathing rhythm signals. The proposed contactless sensing system eliminates the need for the contact electrodes, electric patches, photoelectric sensors, and conductive wires used in typical physiological sensing methods. The system operates at 76-81 GHz in FMCW mode and can detect objects on the basis of changes in frequency and phase. The obtained signals are used to precisely monitor a patient's HR and RR with minimal noise interference. In a laboratory setting, the heartbeats and breathing rhythm signals of healthy young participants were measured, and their HR and RR were estimated through frequency- and time-domain analyses. The experimental results confirmed the feasibility of the proposed W-band mm-wave radar for contactless and short-range continuous detection of human vital signs.

Indexed as

biomedical measurementhealth carewireless sensor networks

Identifiers

PMID39720763
PMCPMC11665778

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.