A Dry Electrode-Based ECG Sensor with Motion Artifacts Cancellation and Signal Analysis for Heart Irregularity Detection

Nishat Tasneem, Deepa Kota, Ifana Mahbub, Gayatri Mehta, Kamesh Namuduri, Ari Cedars

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

Abstract

Abnormalities in the heart's electrical signal can lead to irregularities in the heart normal rhythm or can entirely collapse the functioning of the heart. An electrocardiogram (ECG) measures the heart's electrical activity and contains many features that are indicative of such irregularities. This paper presents a novel strategy for detecting the irregularities in the heart rhythm from the recorded ECG signal using a combination of software and hardware tools. MWCNT/PDMS composite based dry electrodes are used to record the ECG signal for both static and with some physical activities. The least mean square (LMS) algorithm based adaptive filtering is implemented to acquire motion-free, clean, and reliable ECG data. The adaptive filtering exhibits the signal-to-noise ratio (SNR) as 42 dB, which demonstrates the efficiency of the filtering by ∼8% compared to the raw ECG data. Once a clean ECG signal is acquired, it is sent for further processing and features of interest are extracted in LabVIEW that could be used to detect any abnormalities in the ECG signal. Overall, the proposed strategy helps in identifying heart rhythm irregularities quickly, accurately, and efficiently.

Original languageEnglish (US)
Title of host publicationIEEE Sensors, SENSORS 2020 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728168012
DOIs
StatePublished - Oct 25 2020
Event2020 IEEE Sensors, SENSORS 2020 - Virtual, Rotterdam, Netherlands
Duration: Oct 25 2020Oct 28 2020

Publication series

NameProceedings of IEEE Sensors
Volume2020-October
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference2020 IEEE Sensors, SENSORS 2020
Country/TerritoryNetherlands
CityVirtual, Rotterdam
Period10/25/2010/28/20

Keywords

  • Adaptive filtering
  • Biomarkers
  • Cardiac Events
  • Electrocardiogram
  • Motion Artifacts

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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