Name
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-Quatro™ 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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.22489/CinC.2017.071-458 | 2017 Computing in Cardiology (CinC) |
Keywords | Field | DocType |
arm body surface bipolar ECG,sensor study,cardiovascular disease,heart arrhythmias,electrocardiogram signal,ECG signal-to-noise ratio map,wearable arm-ECG monitoring devices,left-arm ECG recordings,bio-potential acquisition system,signal-to-noise ratio distribution maps,bipolar arm-ECG SNR,gelled BIS sensors,rhythm monitoring,wris tbody surface bipolar ECG,dry pre-gelled BIS-Quatro sensor system,special pre-gelled BIS-Quatro sensor system,ECG S-N map,Matlab,MS Excel | Biomedical engineering,Noise reduction,Wrist,Wearable computer,Signal-to-noise ratio,Forearm,Sensor system,Signal averaging,Rhythm,Medicine | Conference |
Volume | ISSN | ISBN |
44 | 2325-8861 | 978-1-5386-4555-0 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Escalona | 1 | 0 | 1.01 |
| Louise McFrederick | 2 | 0 | 0.34 |
| Maira Borges | 3 | 0 | 0.34 |
| Pedro Linares | 4 | 0 | 0.34 |
| Ricardo Villegas | 5 | 0 | 0.34 |
| Gilberto Perpiñan | 6 | 0 | 0.34 |
| McLaughlin, J. | 7 | 4 | 11.37 |
| david mceneaney | 8 | 1 | 3.67 |