Evidence map›Paper›PMID 33806426›Full record

ArticleSensors (Basel, Switzerland)2021

Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion.

Yu Rong, Arindam Dutta, Alex Chiriyath, Daniel W Bliss

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Contactless Stethoscope Enabled by Radar Technology.Bioengineering (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Review
  8. 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

4 authors.

Yu RongCenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA.
Arindam DuttaCenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA.
Alex ChiriyathCenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA.ORCID 0000-0002-9879-8369
Daniel W BlissCenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microwave radar technology is very attractive for ubiquitous short-range health monitoring due to its non-contact, see-through, privacy-preserving and safe features compared to the competing remote technologies such as optics. The possibility of radar-based approaches for breathing and cardiac sensing was demonstrated a few decades ago. However, investigation regarding the robustness of radar-based vital-sign monitoring (VSM) is not available in the current radar literature. In this paper, we aim to close this gap by presenting an extensive experimental study of vital-sign radar approach. We consider diversity in test subjects, fitness levels, poses/postures, and, more importantly, random body movement (RBM) in the study. We discuss some new insights that lead to robust radar heart-rate (HR) measurements. A novel active motion cancellation signal-processing technique is introduced, exploiting dual ultra-wideband (UWB) radar system for motion-tolerant HR measurements. Additionally, we propose a spectral pruning routine to enhance HR estimation performance. We validate the proposed method theoretically and experimentally. Totally, we record and analyze about 3500 seconds of radar measurements from multiple human subjects.

Indexed as

RadarSignal Processing, Computer-AssistedAlgorithmsHeart RateHumansMonitoring, PhysiologicMotionRespirationprivacy preservingradarrandom body movement cancellationUWBvital signs

Identifiers

PMID33806426
PMCPMC7961631

What OpenQuestion holds

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LicenceCC BY
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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.