Wireless Arm Wearable Sensor Band For Long-Term Heart Rhythms Surveillance Using A Bipolar Arm-ECG Lead

OJ Escalona; Angel Villegas; Sephorah Mukhtar; Gilberto Perpiñan; David McEneaney

doi:10.22489/CinC.2020.470

Wireless Arm Wearable Sensor Band For Long-Term Heart Rhythms Surveillance Using A Bipolar Arm-ECG Lead

OJ Escalona, Angel Villegas, Sephorah Mukhtar, Gilberto Perpiñan, David McEneaney

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Bipolar ECG leads captured from sensors placed in a comfortable wearable-band on the left upper-arm, can provide ECG signals of sufficient quality after signal-enhancement processing, for reliable heart rhythm analysis in long-term ECG-monitoring and enabling clinical arrhythmias assessment. This study presents an inhouse built cable-free, wearable sensor system (WAMECG1) for a bipolar arm-ECG lead capture and wireless data transmission over a Wi-Fi link. The system’s functional blocks were integrated into a comfortable, ergonomically designed arm-band ECG wearable device.
A retrospective pilot analysis on the WASTCArD arm-ECG mapping database from our previous work, was carried out to find the optimal axis rotation of the bipolar arm-Lead electrodes pair, with respect to the body frontal plane and the arm axilla point; this was found to be at -60o axis rotation. Then, signal quality of the recorded far-field bipolar arm-ECG was validated in a pilot trial with 10 volunteer subjects at rest, using the prototype device. The overall R-peak detection accuracy was 99.67%. Without using any signal enhancement algorithm, the average signal-to-noise-ratio (SNR) values was 16.73. Therefore, the performance assessment results assured the performance of the wearable arm-band prototype device.

Original language	English
Title of host publication	2020 Computing in Cardiology Proceedings
Publisher	Computing in Cardiology
Number of pages	4
Volume	47
ISBN (Electronic)	2325-887X
DOIs	https://doi.org/10.22489/CinC.2020.470
Publication status	Published (in print/issue) - 15 Dec 2020
Event	Computing in Cardiology 2020 - Rimini Palacongressi, Rimini, Italy Duration: 13 Sept 2020 → 16 Sept 2020 https://www.cinc2020.org/

Conference

Conference	Computing in Cardiology 2020
Abbreviated title	CINC 2020
Country/Territory	Italy
City	Rimini
Period	13/09/20 → 16/09/20
Internet address	https://www.cinc2020.org/

Keywords

wireless arm wearable sensor
ECG monitoring armband
bipolar arm-ECG leads
heart rhythm monitoring
arm-ECG R peak detection performance

Access to Document

10.22489/CinC.2020.470Licence: Unspecified

http://www.cinc.org/archives/2020/pdf/CinC2020-470.pdf

4 Citations
1 Article

Armband sensors location assessment for left Arm-ECG bipolar leads waveform components discovery tendencies around the MUAC line
Escalona, O., Mukhtar, S., McEneaney, D. & Finlay, D., 24 Sept 2022, (Published online) In: Sensors (Switzerland). 22, 19, 22 p., 7240.
Research output: Contribution to journal › Article › peer-review

Open Access
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3 Citations (Scopus)

92 Downloads (Pure)

Cite this

@inproceedings{0bc027c4164843b6b9a954288a140c49,

title = "Wireless Arm Wearable Sensor Band For Long-Term Heart Rhythms Surveillance Using A Bipolar Arm-ECG Lead",

abstract = "Bipolar ECG leads captured from sensors placed in a comfortable wearable-band on the left upper-arm, can provide ECG signals of sufficient quality after signal-enhancement processing, for reliable heart rhythm analysis in long-term ECG-monitoring and enabling clinical arrhythmias assessment. This study presents an inhouse built cable-free, wearable sensor system (WAMECG1) for a bipolar arm-ECG lead capture and wireless data transmission over a Wi-Fi link. The system{\textquoteright}s functional blocks were integrated into a comfortable, ergonomically designed arm-band ECG wearable device. A retrospective pilot analysis on the WASTCArD arm-ECG mapping database from our previous work, was carried out to find the optimal axis rotation of the bipolar arm-Lead electrodes pair, with respect to the body frontal plane and the arm axilla point; this was found to be at -60o axis rotation. Then, signal quality of the recorded far-field bipolar arm-ECG was validated in a pilot trial with 10 volunteer subjects at rest, using the prototype device. The overall R-peak detection accuracy was 99.67%. Without using any signal enhancement algorithm, the average signal-to-noise-ratio (SNR) values was 16.73. Therefore, the performance assessment results assured the performance of the wearable arm-band prototype device.",

keywords = "wireless arm wearable sensor, ECG monitoring armband, bipolar arm-ECG leads, heart rhythm monitoring, arm-ECG R peak detection performance",

author = "OJ Escalona and Angel Villegas and Sephorah Mukhtar and Gilberto Perpi{\~n}an and David McEneaney",

year = "2020",

month = dec,

day = "15",

doi = "10.22489/CinC.2020.470",

language = "English",

volume = "47",

booktitle = "2020 Computing in Cardiology Proceedings",

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note = "Computing in Cardiology 2020, CINC 2020 ; Conference date: 13-09-2020 Through 16-09-2020",

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T1 - Wireless Arm Wearable Sensor Band For Long-Term Heart Rhythms Surveillance Using A Bipolar Arm-ECG Lead

AU - Escalona, OJ

AU - Villegas, Angel

AU - Mukhtar, Sephorah

AU - Perpiñan, Gilberto

AU - McEneaney, David

PY - 2020/12/15

Y1 - 2020/12/15

N2 - Bipolar ECG leads captured from sensors placed in a comfortable wearable-band on the left upper-arm, can provide ECG signals of sufficient quality after signal-enhancement processing, for reliable heart rhythm analysis in long-term ECG-monitoring and enabling clinical arrhythmias assessment. This study presents an inhouse built cable-free, wearable sensor system (WAMECG1) for a bipolar arm-ECG lead capture and wireless data transmission over a Wi-Fi link. The system’s functional blocks were integrated into a comfortable, ergonomically designed arm-band ECG wearable device. A retrospective pilot analysis on the WASTCArD arm-ECG mapping database from our previous work, was carried out to find the optimal axis rotation of the bipolar arm-Lead electrodes pair, with respect to the body frontal plane and the arm axilla point; this was found to be at -60o axis rotation. Then, signal quality of the recorded far-field bipolar arm-ECG was validated in a pilot trial with 10 volunteer subjects at rest, using the prototype device. The overall R-peak detection accuracy was 99.67%. Without using any signal enhancement algorithm, the average signal-to-noise-ratio (SNR) values was 16.73. Therefore, the performance assessment results assured the performance of the wearable arm-band prototype device.

AB - Bipolar ECG leads captured from sensors placed in a comfortable wearable-band on the left upper-arm, can provide ECG signals of sufficient quality after signal-enhancement processing, for reliable heart rhythm analysis in long-term ECG-monitoring and enabling clinical arrhythmias assessment. This study presents an inhouse built cable-free, wearable sensor system (WAMECG1) for a bipolar arm-ECG lead capture and wireless data transmission over a Wi-Fi link. The system’s functional blocks were integrated into a comfortable, ergonomically designed arm-band ECG wearable device. A retrospective pilot analysis on the WASTCArD arm-ECG mapping database from our previous work, was carried out to find the optimal axis rotation of the bipolar arm-Lead electrodes pair, with respect to the body frontal plane and the arm axilla point; this was found to be at -60o axis rotation. Then, signal quality of the recorded far-field bipolar arm-ECG was validated in a pilot trial with 10 volunteer subjects at rest, using the prototype device. The overall R-peak detection accuracy was 99.67%. Without using any signal enhancement algorithm, the average signal-to-noise-ratio (SNR) values was 16.73. Therefore, the performance assessment results assured the performance of the wearable arm-band prototype device.

KW - wireless arm wearable sensor

KW - ECG monitoring armband

KW - bipolar arm-ECG leads

KW - heart rhythm monitoring

KW - arm-ECG R peak detection performance

U2 - 10.22489/CinC.2020.470

DO - 10.22489/CinC.2020.470

M3 - Conference contribution

VL - 47

BT - 2020 Computing in Cardiology Proceedings

PB - Computing in Cardiology

T2 - Computing in Cardiology 2020

Y2 - 13 September 2020 through 16 September 2020

ER -

Wireless Arm Wearable Sensor Band For Long-Term Heart Rhythms Surveillance Using A Bipolar Arm-ECG Lead

Abstract

Conference

Keywords

Access to Document

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Research output

Armband sensors location assessment for left Arm-ECG bipolar leads waveform components discovery tendencies around the MUAC line

Cite this