Evidence map›Paper›PMID 33090962›Full record

ArticleIEEE journal of biomedical and health informatics2021

Non-Invasive Wearable Patch Utilizing Seismocardiography for Peri-Operative Use in Surgical Patients.

Beren Semiz, Andrew M Carek, Jessica C Johnson, Shireen Ahmad, J Alex Heller, Florencia G Vicente, Stacey Caron, Charles W Hogue, Mozziyar Etemadi, 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 32 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Beren Semiz
Andrew M Carek
Jessica C Johnson
Shireen Ahmad
J Alex Heller
Florencia G Vicente
Stacey Caron
Charles W Hogue
Mozziyar Etemadi
Omer T Inan
Northwestern University · USGeorgia Institute of Technology · 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

objectiveOptimizing peri-operative fluid management has been shown to improve patient outcomes and the use of stroke volume (SV) measurement has become an accepted tool to guide fluid therapy. The Transesophageal Doppler (TED) is a validated, minimally invasive device that allows clinical assessment of SV. Unfortunately, the use of the TED is restricted to the intra-operative setting in anesthetized patients and requires constant supervision and periodic adjustment for accurate signal quality. However, post-operative fluid management is also vital for improved outcomes. Currently, there is no device regularly used in clinics that can track patient's SV continuously and non-invasively both during and after surgery.

methodsIn this paper, we propose the use of a wearable patch mounted on the mid-sternum, which captures the seismocardiogram (SCG) and electrocardiogram (ECG) signals continuously to predict SV in patients undergoing major surgery. In a study of 12 patients, hemodynamic data was recorded simultaneously using the TED and wearable patch. Signal processing and regression techniques were used to derive SV from the signals (SCG and ECG) captured by the wearable patch and compare it to values obtained by the TED.

resultsThe results showed that the combination of SCG and ECG contains substantial information regarding SV, resulting in a correlation and median absolute error between the predicted and reference SV values of 0.81 and 7.56 mL, respectively. SIGNIFICANCE: This work shows promise for the proposed wearable-based methodology to be used as an alternative to TED for continuous patient monitoring and guiding peri-operative fluid management.

Indexed as

ElectrocardiographySignal Processing, Computer-AssistedWearable Electronic DevicesHumansMonitoring, PhysiologicPerioperative CareStroke Volume

Identifiers

PMID33090962
PMCPMC8189504
OpenAlexW3094395646

What OpenQuestion holds

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LicenceTDM
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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.