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A Novel Wearable Device for Continuous Ambulatory ECG Recording: Proof of Concept and Assessment of Signal Quality
by
Steinberg, Christian
, Molin, Franck
, Roy, Karine
, Blier, Louis
, Fortier-Poisson, Pascal
, Sanchez, Marina
, Champagne, Jean
, Sarrazin, Jean-François
, Nault, Isabelle
, Plourde, Benoit
, O’Hara, Gilles
, Philippon, François
in
Algorithms
/ Arrhythmia
/ Cardiac arrhythmia
/ Data storage
/ ECG monitoring
/ EKG
/ Electrocardiography
/ Heart rate
/ Holter
/ Information processing
/ Monitoring
/ Noise levels
/ Noninvasive ambulatory rhythm monitoring
/ Quality assessment
/ Recording
/ Rhythm
/ Sensors
/ Signal processing
/ Signal quality
/ telehealth
/ Telemedicine
/ Variables
/ wearable ECG sensors
/ Wearable technology
2019
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A Novel Wearable Device for Continuous Ambulatory ECG Recording: Proof of Concept and Assessment of Signal Quality
by
Steinberg, Christian
, Molin, Franck
, Roy, Karine
, Blier, Louis
, Fortier-Poisson, Pascal
, Sanchez, Marina
, Champagne, Jean
, Sarrazin, Jean-François
, Nault, Isabelle
, Plourde, Benoit
, O’Hara, Gilles
, Philippon, François
in
Algorithms
/ Arrhythmia
/ Cardiac arrhythmia
/ Data storage
/ ECG monitoring
/ EKG
/ Electrocardiography
/ Heart rate
/ Holter
/ Information processing
/ Monitoring
/ Noise levels
/ Noninvasive ambulatory rhythm monitoring
/ Quality assessment
/ Recording
/ Rhythm
/ Sensors
/ Signal processing
/ Signal quality
/ telehealth
/ Telemedicine
/ Variables
/ wearable ECG sensors
/ Wearable technology
2019
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Do you wish to request the book?
A Novel Wearable Device for Continuous Ambulatory ECG Recording: Proof of Concept and Assessment of Signal Quality
by
Steinberg, Christian
, Molin, Franck
, Roy, Karine
, Blier, Louis
, Fortier-Poisson, Pascal
, Sanchez, Marina
, Champagne, Jean
, Sarrazin, Jean-François
, Nault, Isabelle
, Plourde, Benoit
, O’Hara, Gilles
, Philippon, François
in
Algorithms
/ Arrhythmia
/ Cardiac arrhythmia
/ Data storage
/ ECG monitoring
/ EKG
/ Electrocardiography
/ Heart rate
/ Holter
/ Information processing
/ Monitoring
/ Noise levels
/ Noninvasive ambulatory rhythm monitoring
/ Quality assessment
/ Recording
/ Rhythm
/ Sensors
/ Signal processing
/ Signal quality
/ telehealth
/ Telemedicine
/ Variables
/ wearable ECG sensors
/ Wearable technology
2019
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A Novel Wearable Device for Continuous Ambulatory ECG Recording: Proof of Concept and Assessment of Signal Quality
Journal Article
A Novel Wearable Device for Continuous Ambulatory ECG Recording: Proof of Concept and Assessment of Signal Quality
2019
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Overview
Diagnosis of arrhythmic disorders is challenging because of their short-lasting, intermittent character. Conventional technologies of noninvasive ambulatory rhythm monitoring are limited by modest sensitivity. We present a novel form of wearable electrocardiogram (ECG) sensors providing an alternative tool for long-term rhythm monitoring with the potential of increased sensitivity to detect intermittent or subclinical arrhythmia. The objective was to assess the signal quality and R-R coverage of a wearable ECG sensor system compared to a standard 3-lead Holter. In this phase-1 trial, healthy individuals underwent 24-h simultaneous rhythm monitoring using the OMsignal system together with a 3-lead Holter recording. The OMsignal system consists of a garment (bra or shirt) with integrated sensors recording a single-lead ECG and an acquisition module for data storage and processing. Head-to-head signal quality was assessed regarding adequate P-QRS-T distinction and was performed by three electrophysiologists blinded to the recording technology. The accuracy of signal coverage was assessed using Bland-Altman analysis. Fifteen individuals underwent simultaneous 24-h recording. Signal quality and accuracy of the OMgaments was equivalent to Holter-monitoring (84% vs. 93% electrophysiologists rating, p = 0.06). Signal coverage of R-R intervals showed a very close overlay between the OMsignal system and Holter signals, mean difference in heart rate of 2 ± 5 bpm. The noise level of OMgarments was comparable to Holter recording. OMgarments provide high signal quality for adequate rhythm analysis, representing a promising novel technology for long-term non-invasive ECG monitoring.
Publisher
MDPI AG,MDPI
Subject
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