Abstract
| Original language | English |
|---|---|
| Article number | 7240 |
| Number of pages | 22 |
| Journal | Sensors (Switzerland) |
| Volume | 22 |
| Issue number | 19 |
| Early online date | 24 Sept 2022 |
| DOIs | |
| Publication status | Published online - 24 Sept 2022 |
Bibliographical note
Funding Information:This research was supported by funding from the European Union (EU): H2020-MSCA-RISE Programme (WASTCArD Project, Grant #645759). Professor Omar Escalona’s dedication to WASTCArD database building was supported by philanthropic funds: the Ulster Garden Villages Ltd. and the McGrath Trust.
Publisher Copyright:
© 2022 by the authors.
Funding
Funding Information: This research was supported by funding from the European Union (EU): H2020-MSCA-RISE Programme (WASTCArD Project, Grant #645759). Professor Omar Escalona’s dedication to WASTCArD database building was supported by philanthropic funds: the Ulster Garden Villages Ltd. and the McGrath Trust. Publisher Copyright: © 2022 by the authors.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 17 Partnerships for the Goals
Keywords
- bipolar cardiac electrograms
- arm-ECG monitoring
- wearable sensor systems
- signal averaged ECG
- QRS detection performance
- bipolar arm-ECG P-wave vectors
- MUAC
- BMI
Fingerprint
Dive into the research topics of 'Armband sensors location assessment for left Arm-ECG bipolar leads waveform components discovery tendencies around the MUAC line'. Together they form a unique fingerprint.-
Cardiac contractility assessment from arm impedance plethysmography (IPG)
Escalona, O., Abdul-Qayum, G., Hilton, A., Biglarbeigi, P. & McEneaney, D., 21 Feb 2022, (Accepted/In press) IFMBE Conference Proceedings. Springer, 14 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile -
Feasibility of Wearable Armband Bipolar ECG Lead-1 for Long-term HRV Monitoring Using a Combined Signal Averaging and 2-stage Wavelet Denoising Technique
Escalona, O., Magwood, S., Hilton, A. & Biglarbeigi, P., 12 Jun 2022, (Accepted/In press) Institute of Electrical and Electronics Engineers (IEEE). IEEE, 4 p. (Computing in Cardiology, 2022 Conference paper; vol. 49).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile -
Wireless Arm Wearable Sensor Band For Long-Term Heart Rhythms Surveillance Using A Bipolar Arm-ECG Lead
Escalona, O., Villegas, A., Mukhtar, S., Perpiñan, G. & McEneaney, D., 15 Dec 2020, 2020 Computing in Cardiology Proceedings. Computing in Cardiology, Vol. 47. 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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