Evidence map›Paper›PMID 33238557›Full record

ArticleSensors (Basel, Switzerland)2020

Experimental Comparison of IR-UWB Radar and FMCW Radar for Vital Signs.

Dingyang Wang, Sungwon Yoo, Sung Ho Cho

Abstract readComparative Study
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
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  8. Noncontact Sensors for Vital Signs Measurement: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
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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

3 authors.

Dingyang WangDepartment of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea.ORCID 0000-0002-4690-5767
Sungwon YooDepartment of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea.ORCID 0000-0002-6237-3262
Sung Ho ChoDepartment of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea.ORCID 0000-0002-2393-1428

Funding

Bio & Medical Technology Development Program 2017M3A9E2064626
6 · The paper itself

Abstract

In this paper, we compare the performances of impulse radio ultra-wideband (IR-UWB) and frequency modulation continuous wave (FMCW) radars in measuring noncontact vital signs such as respiration rate and heart rate. These two type radars have been widely used in various fields and have shown their applicability to extract vital signs in noncontact ways. IR-UWB radar can extract vital signs using distance information. On the other hand, FMCW radar requires phase information to estimate vital signs, and the result can be enhanced with Multi-input Multi-output (MIMO) antenna topologies. By using commercial radar chipsets, the operation of radars under different conditions and frequency bands will also affect the performance of vital sign detection capabilities. We compared the accuracy and signal-to-noise (SNR) ratios of IR-UWB and FMCW radars in various scenarios, such as distance, orientation, carotid pulse, harmonics, and obstacle penetration. In general, the IR-UWB radars offer a slightly better accuracy and higher SNR in comparison to FMCW radar. However, each radar system has its own unique advantages, with IR-UWB exhibiting fewer harmonics and a higher SNR, while FMCW can combine the results from each channel.

Indexed as

RadarSignal Processing, Computer-AssistedVital SignsHeart RateHumansMonitoring, PhysiologicRespiratory RateFMCW radarimpulse radio ultra-wideband radarnoncontact measurementvital signs

Identifiers

PMID33238557
PMCPMC7768379

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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.