Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring

OJ Escalona, L McFrederick, M Borges, P Linares, R Villegas, GI Perpiñan, JAD McLaughlin, DJ McEneaney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With cardiovascular disease and heart arrhythmias continuing to have a high mortality rate, it is important to monitor the electrocardiogram (ECG) signal in a noninvasive, long-term wearable device. In this study we investigate sensors and the ECG signal-to-noise ratio map along the left arm, for wearable arm-ECG monitoring devices. In a pilot study, 11 subjects attending a cardiology outpatient clinic, far-field left-arm ECG recordings included signals from a combination of dry and special pre-gelled BIS-QuatroTM sensor system, axially and transversally oriented along the left arm: on the wrist, upper forearm and upper arm. A total of 10 bipolar leads were recorded simultaneously (using 18 acquisition channels). Each subject was recorded for 8 minutes at rest, using the bio-potential acquisition system; all data was imported and processed using Matlab and MS Excel. Analysis was completed to evaluate signal-to-noise ratio (SNR) distribution maps. An average ECG SNR figure of 42.63 was found in the dry-electrode positioned on the upper arm bipolar lead, whilst the SNR ratio positioned on the wrist was 13.14. Similar to this, in the BIS-electrodes (gelled), there was an average ECG SNR figure of 89.25 on the upper arm and of 5.18 positioned on the wrist. This study clinically evidenced the ECG S/N map on the left arm. It reveals that bipolar arm-ECG SNR are consistently stronger on the upper arm, when recorded with the gelled BIS sensors.
LanguageEnglish
Title of host publicationUnknown Host Publication
EditorsAlan Murray
Number of pages4
Volume44
Publication statusAccepted/In press - 9 Oct 2017
Event44th Computing in Cardiology Conference, 2017, Rennes, France - Rennes, France
Duration: 9 Oct 2017 → …

Conference

Conference44th Computing in Cardiology Conference, 2017, Rennes, France
Period9/10/17 → …

Fingerprint

Electrocardiography
Signal to noise ratio
Monitoring
Sensors
Cardiology
Electrodes
Lead

Keywords

  • Bipolar ECG leads
  • long term monitoring
  • BIS sensors
  • AgCl dry electrodes
  • Signal-to-Noise ratio
  • SNR
  • far-field EGM
  • bi-polar leads
  • denoising
  • signal averaging
  • SFP alignment technique.

Cite this

Escalona, OJ., McFrederick, L., Borges, M., Linares, P., Villegas, R., Perpiñan, GI., ... McEneaney, DJ. (Accepted/In press). Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring. In A. Murray (Ed.), Unknown Host Publication (Vol. 44)
Escalona, OJ ; McFrederick, L ; Borges, M ; Linares, P ; Villegas, R ; Perpiñan, GI ; McLaughlin, JAD ; McEneaney, DJ. / Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring. Unknown Host Publication. editor / Alan Murray. Vol. 44 2017.
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title = "Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring",
abstract = "With cardiovascular disease and heart arrhythmias continuing to have a high mortality rate, it is important to monitor the electrocardiogram (ECG) signal in a noninvasive, long-term wearable device. In this study we investigate sensors and the ECG signal-to-noise ratio map along the left arm, for wearable arm-ECG monitoring devices. In a pilot study, 11 subjects attending a cardiology outpatient clinic, far-field left-arm ECG recordings included signals from a combination of dry and special pre-gelled BIS-QuatroTM sensor system, axially and transversally oriented along the left arm: on the wrist, upper forearm and upper arm. A total of 10 bipolar leads were recorded simultaneously (using 18 acquisition channels). Each subject was recorded for 8 minutes at rest, using the bio-potential acquisition system; all data was imported and processed using Matlab and MS Excel. Analysis was completed to evaluate signal-to-noise ratio (SNR) distribution maps. An average ECG SNR figure of 42.63 was found in the dry-electrode positioned on the upper arm bipolar lead, whilst the SNR ratio positioned on the wrist was 13.14. Similar to this, in the BIS-electrodes (gelled), there was an average ECG SNR figure of 89.25 on the upper arm and of 5.18 positioned on the wrist. This study clinically evidenced the ECG S/N map on the left arm. It reveals that bipolar arm-ECG SNR are consistently stronger on the upper arm, when recorded with the gelled BIS sensors.",
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author = "OJ Escalona and L McFrederick and M Borges and P Linares and R Villegas and GI Perpi{\~n}an and JAD McLaughlin and DJ McEneaney",
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Escalona, OJ, McFrederick, L, Borges, M, Linares, P, Villegas, R, Perpiñan, GI, McLaughlin, JAD & McEneaney, DJ 2017, Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring. in A Murray (ed.), Unknown Host Publication. vol. 44, 44th Computing in Cardiology Conference, 2017, Rennes, France, 9/10/17.

Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring. / Escalona, OJ; McFrederick, L; Borges, M; Linares, P; Villegas, R; Perpiñan, GI; McLaughlin, JAD; McEneaney, DJ.

Unknown Host Publication. ed. / Alan Murray. Vol. 44 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring

AU - Escalona, OJ

AU - McFrederick, L

AU - Borges, M

AU - Linares, P

AU - Villegas, R

AU - Perpiñan, GI

AU - McLaughlin, JAD

AU - McEneaney, DJ

PY - 2017/10/9

Y1 - 2017/10/9

N2 - With cardiovascular disease and heart arrhythmias continuing to have a high mortality rate, it is important to monitor the electrocardiogram (ECG) signal in a noninvasive, long-term wearable device. In this study we investigate sensors and the ECG signal-to-noise ratio map along the left arm, for wearable arm-ECG monitoring devices. In a pilot study, 11 subjects attending a cardiology outpatient clinic, far-field left-arm ECG recordings included signals from a combination of dry and special pre-gelled BIS-QuatroTM sensor system, axially and transversally oriented along the left arm: on the wrist, upper forearm and upper arm. A total of 10 bipolar leads were recorded simultaneously (using 18 acquisition channels). Each subject was recorded for 8 minutes at rest, using the bio-potential acquisition system; all data was imported and processed using Matlab and MS Excel. Analysis was completed to evaluate signal-to-noise ratio (SNR) distribution maps. An average ECG SNR figure of 42.63 was found in the dry-electrode positioned on the upper arm bipolar lead, whilst the SNR ratio positioned on the wrist was 13.14. Similar to this, in the BIS-electrodes (gelled), there was an average ECG SNR figure of 89.25 on the upper arm and of 5.18 positioned on the wrist. This study clinically evidenced the ECG S/N map on the left arm. It reveals that bipolar arm-ECG SNR are consistently stronger on the upper arm, when recorded with the gelled BIS sensors.

AB - With cardiovascular disease and heart arrhythmias continuing to have a high mortality rate, it is important to monitor the electrocardiogram (ECG) signal in a noninvasive, long-term wearable device. In this study we investigate sensors and the ECG signal-to-noise ratio map along the left arm, for wearable arm-ECG monitoring devices. In a pilot study, 11 subjects attending a cardiology outpatient clinic, far-field left-arm ECG recordings included signals from a combination of dry and special pre-gelled BIS-QuatroTM sensor system, axially and transversally oriented along the left arm: on the wrist, upper forearm and upper arm. A total of 10 bipolar leads were recorded simultaneously (using 18 acquisition channels). Each subject was recorded for 8 minutes at rest, using the bio-potential acquisition system; all data was imported and processed using Matlab and MS Excel. Analysis was completed to evaluate signal-to-noise ratio (SNR) distribution maps. An average ECG SNR figure of 42.63 was found in the dry-electrode positioned on the upper arm bipolar lead, whilst the SNR ratio positioned on the wrist was 13.14. Similar to this, in the BIS-electrodes (gelled), there was an average ECG SNR figure of 89.25 on the upper arm and of 5.18 positioned on the wrist. This study clinically evidenced the ECG S/N map on the left arm. It reveals that bipolar arm-ECG SNR are consistently stronger on the upper arm, when recorded with the gelled BIS sensors.

KW - Bipolar ECG leads

KW - long term monitoring

KW - BIS sensors

KW - AgCl dry electrodes

KW - Signal-to-Noise ratio

KW - SNR

KW - far-field EGM

KW - bi-polar leads

KW - denoising

KW - signal averaging

KW - SFP alignment technique.

M3 - Conference contribution

VL - 44

BT - Unknown Host Publication

A2 - Murray, Alan

ER -

Escalona OJ, McFrederick L, Borges M, Linares P, Villegas R, Perpiñan GI et al. Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring. In Murray A, editor, Unknown Host Publication. Vol. 44. 2017