A Wearable ECG Monitoring Device with Flexible Embedded Denoising and Compression
2016 (English)In: ESSCIRC CONFERENCE 2016, 2016, 87-90 p.Conference paper (Refereed)
A wearable electrocardiogram (ECG) monitoring device with a customized SoC is reported. The SoC amplifies the ECG signal from passive electrodes and then digitizes and transforms it into wavelet coefficients. A low-power microcontroller (MCU) and a radio frequency (RF) module in the device resolve and send the wavelet coefficients to a mobile platform. The mobile platform uses machine learning algorithms to improve the performance of signal denoising and data compression by exploiting the characteristics of the sensed data, and consequently reduces power consumption in the wearable device. Measurement results show that the device can resolve ECG data from MIT-BIH arrhythmia database and actual ECG signals from human testers. After processing the ECG data with various noise models, the proposed device can improve the signal to noise ratio (SNR) and mean square error (MSE) by 23.8dB and 88.9%, respectively. When resolving actual ECG signals from testers, the typical compression ratio (CR) is 4.8:1 with 1.56% percentage root mean square difference (PRD). The SoC is fabricated in TSMC 0.18 mu m technology, and consumes 45 mu w for different applications.
Place, publisher, year, edition, pages
2016. 87-90 p.
Proceedings of the European Solid-State Circuits Conference, ISSN 1930-8833
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-197038DOI: 10.1109/ESSDERC.2016.7599593ISI: 000386656300020ScopusID: 2-s2.0-84994476561ISBN: 978-1-5090-2972-3OAI: oai:DiVA.org:kth-197038DiVA: diva2:1053086
46th European Solid-State Device Research Conference (ESSDERC) / 42nd European Solid-State Circuits Conference (ESSCIRC), SEP 12-15, 2016, Lausanne, SWITZERLAND
QC 201612082016-12-082016-11-282016-12-08Bibliographically approved