Development of an Arrhythmia Monitoring System and Human Study

Shuenn Yuh Lee, Peng Wei Huang, Ming Chun Liang, Jia Hua Hong, Ju Yi Chen

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Electrocardiography (ECG) is a fundamental method not only commonly used in the hospital for clinical requirement but also widely adopted in home and personal healthcare systems to obtain the electrical activity of the heart. An arrhythmia monitoring system is proposed and used in a clinical trial. The proposed system has three parts. The first is a high-resolution, low-power analog front-end circuit for implementing bio-signal sensing circuits. This part is developed with a chopper-based pre-amplifier and a high-pass sigma-delta modulator. The features of the circuits are low complexity, high resolution, and low power consumption. The second part is a digital signal processor with a decimation filter and a universal asynchronous receiver/transmitter package generator. The last part is used to realize a software interface on smartphone for ECG signal recording, display, and classification. A wavelet-based classification method is also proposed to classify the rhythm. The chip used in the system is fabricated through the 0.18 $\boldsymbol {\mu }\text{m}$ standard complementary metal-oxide-semiconductor process, and the operation voltage is 1.2 V. The classification algorithm is verified with data from the MIT/BIH arrhythmia database. The accuracy of beat detection and arrhythmia classification is 99.4% and 95.83%, respectively. Eight patients are enrolled in a human study to verify the performance of the proposed arrhythmia monitoring system. Results show that the system can acquire and classify ECG signals.

Original languageEnglish
Article number8490696
Pages (from-to)442-451
Number of pages10
JournalIEEE Transactions on Consumer Electronics
Volume64
Issue number4
DOIs
Publication statusPublished - 2018 Nov

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All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

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