Cited by 36ECG Monitoring and AnalysisWireless Body Area NetworksNon-Invasive Vital Sign Monitoring

An ECG patch combining a customized ultra-low-power ECG SoC with Bluetooth low energy for long term ambulatory monitoring

Altini, Marco, Polito, Salvatore, Penders, Julien, Kim, Hyejung, Van Helleputte, Nick, Kim, Sunyoung, Yazicioglu, Firat·2011·Proceedings of the 2nd Conference on Wireless Health

Abstract

This paper presents the development of an ECG patch aiming at long term patient monitoring. The use of the recently standardized Bluetooth Low Energy (BLE) technology, together with a customized ultra-low-power ECG System on Chip (ECG SoC). including Digital Signal Processing (DSP) capabilities, enables the design of ultra low power systems able to continuously monitor patients, performing on board signal processing such as filtering, data compression, beat detection and motion artifact removal along with all the advantages provided by a standard radio technology such as Bluetooth. Early tests show how combining the ECG SoC and BLE leads to a total current consumption of only 500μA at 3.7V, while computing beat detection and transmitting heart rate remotely via BLE. This allows up to one month lifetime with a 400mAh Li-Po battery.

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Crossref · 10.1145/2077546.2077564

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Authors
Altini, M., Polito, S., Penders, J., Kim, H., Van Helleputte, N., Kim, S., & Yazicioglu, F.
Affiliations
  • Imec the Netherlands (NL)
  • imec, Leuven, Belgium
  • IMEC (BE)
Venue
Proceedings of the 2nd Conference on Wireless Health
Publisher
ACM
Published
2011-10-10
Pages
1-2
OpenAlex
W2085262805
Cited by
36
References
5
Citations by year
2025: 2 · 2024: 2 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 4 · 2017: 4 · 2016: 5 · 2015: 4 · 2014: 1 · 2013: 3 · 2012: 3
FWCI
7.26
Type
conference paper
Language
en
Open access
closed
Locations
Wireless Health (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Keywords
ECG patch, Bluetooth Low Energy, Holter monitoring, onboard signal processing, beat detection, motion artifact removal, data compression, battery life

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