Evidence map›Paper›PMID 33746625›Full record

ArticleIEEE sensors journal2021

Furniture-Integrated Respiration Sensors by Notched Transmission Lines.

Zijing Zhang, Pragya Sharma, Jianlin Zhou, Xiaonan Hui, Edwin C Kan

Abstract read
In one paragraph

Article in IEEE sensors journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

5 authors.

Zijing ZhangSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.
Pragya SharmaSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.
Jianlin ZhouSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.
Xiaonan HuiSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.
Edwin C KanSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.

Funding

Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
An Innovative Wearable Sensor For The Early Detection and Prevention Of Fatal Opioid OverdoseR21DA049566 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L, KAN, EDWIN C · 2020 to 2021
$444k
NCATS NIH HHS UL1 TR002384NIDA NIH HHS R21 DA049566
6 · The paper itself

Abstract

Non-invasive respiration sensors integrated into furniture can be invisible to the user and greatly enhance comfort and convenience to facilitate many applications. Current sensors often require user cooperation or fitting, which discourages frequent usage. We present a new respiration sensor integrated into a bed or a chair by modifying a radio-frequency (RF) coaxial cable structure with a designed notch. The lung motion is coupled to the electromagnetic leakage at the notch through near-field coherent sensing (NCS). The sensors, covered with fabrics and positioned under the abdomen and thorax, can capture the respiratory waveforms and derive the breath rate. The heart rate can also be evaluated in the same setup with proper filtering. The sensor design can tolerate large position variation to accommodate user uncertainties. Various voluntary exercises of normal, deep, fast, held and blocked breathing were measured under different postures of supine, recumbent and sitting by the carrier frequency range between 900MHz and 2.4GHz. The breath rate from 10 participants compare well with the synchronous commercial chest-belt sensors in all breathing routines.

Indexed as

apnea detectionMicrowave sensorsrespiration sensors

Identifiers

PMID33746625
PMCPMC7978236

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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.