Evidence map›Paper›PMID 36236641›Full record

ArticleSensors (Basel, Switzerland)2022

High-Precision Vital Signs Monitoring Method Using a FMCW Millimeter-Wave Sensor.

Mingxu Xiang, Wu Ren, Weiming Li, Zhenghui Xue, Xinyue Jiang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Mingxu XiangSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Wu RenSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0003-3578-6587
Weiming LiSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Zhenghui XueSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
Xinyue JiangSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China.

Funding

National Natural Science Foundation of China 62071040
6 · The paper itself

Abstract

The method of using millimeter-wave radar sensors to detect human vital signs, namely respiration and heart rate, has received widespread attention in non-contact monitoring. These sensors are compact, lightweight, and able to sense and detect various scenarios. However, it still faces serious problems of noisy interference in hardware, which leads to a low signal-to-noise ratio (SNR). We used a frequency-modulated continuous wave (FMCW) radar sensor operating at 77 GHz in an office environment to extract the respiration and heart rate of a person accustomed to sitting in a chair. Indeed, the proposed signal processing includes novel impulse denoising operations and the spectral estimation decision method, which are unique in terms of noise reduction and accuracy improvement. In addition, the proposed method provides high-quality, repeatable respiration and heart rates with relative errors of 1.33% and 1.96% on average compared with the reference values measured by a reliable smart bracelet.

Indexed as

RadarVital SignsAlgorithmsHeart RateHumansMonitoring, PhysiologicRespirationSignal Processing, Computer-AssistedFMCW radar sensorhuman vital signs detectingimpulse denoisingspectral estimation decision

Identifiers

PMID36236641
PMCPMC9572116

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.