Evidence map›Paper›PMID 32750964›Full record

ArticleIEEE journal of biomedical and health informatics2021

Estimation of Instantaneous Oxygen Uptake During Exercise and Daily Activities Using a Wearable Cardio-Electromechanical and Environmental Sensor.

Md Mobashir Hasan Shandhi, William H Bartlett, James Alex Heller, Mozziyar Etemadi, Aaron Young, Thomas Plotz, Omer T Inan

Open access · greenAbstract read
In one paragraph

Article in IEEE journal of biomedical and health informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 44 citations in OpenAlex.

  1. AI-based prediction of VONPJ microgravity · 2025
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  3. Estimating V̇OFrontiers in sports and active living · 2025
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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

7 authors at 2 institutions in 1 country.

Md Mobashir Hasan Shandhi
William H Bartlett
James Alex Heller
Mozziyar Etemadi
Aaron Young
Thomas Plotz
Omer T Inan
Georgia Institute of Technology · USNorthwestern University · US

Funding

Non-invasive biosensors to detect cardiovascular changes in heart failureR01HL130619 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI INAN, OMER TOLGA, KLEIN, LIVIU · 2016 to 2020
$2.9M
NHLBI NIH HHS R01 HL130619
6 · The paper itself

Abstract

objectiveTo estimate instantaneous oxygen uptake VO

methodsIn this study, subjects performed a treadmill protocol in a controlled environment and an outside walking protocol in an uncontrolled environment. During testing, the COSMED K5 metabolic system collected gold standard breath-by-breath (BxB) data and a custom-built wearable patch placed on the mid-sternum collected SCG, ECG and AP signals. We extracted features from these signals to estimate the BxB VO

resultsIn estimating instantaneous VO

conclusionSCG, ECG and AP signals from a small wearable patch can enable accurate estimation of instantaneous VO SIGNIFICANCE: Accurate estimation of VO

Indexed as

ExerciseWearable Electronic DevicesElectrocardiographyHumansOxygenOxygen ConsumptionWalkingOxygen

Identifiers

PMID32750964
PMCPMC8004550
OpenAlexW3043258821

What OpenQuestion holds

Textmetadata
LicenceTDM
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.