Real-Time and Memory-Efficient Arrhythmia Detection in ECG Monitors Using Antidictionary Coding

• OTA Takahiro

  Dept. of Computer & Systems Engineering, Nagano Prefectural Institute of Technology

• MORITA Hiroyoshi

  Graduate School of Information Systems, The University of Electro-Communications

• WIJNGAARDEN Adriaan J. de Lind van

  Mathematics of Networks and Communications Research Department, Bell Laboratories

抄録

This paper presents a real-time and memory-efficient arrhythmia detection system with binary classification that uses antidictionary coding for the analysis and classification of electrocardiograms (ECGs). The measured ECG signals are encoded using a lossless antidictionary encoder, and the system subsequently uses the compression rate to distinguish between normal beats and arrhythmia. An automated training data procedure is used to construct the automatons, which are probabilistic models used to compress the ECG signals, and to determine the threshold value for detecting the arrhythmia. Real-time computer simulations with samples from the MIT-BIH arrhythmia database show that the averages of sensitivity and specificity of the proposed system are 97.8% and 96.4% for premature ventricular contraction detection, respectively. The automatons are constructed using training data and comprise only 11 kilobytes on average. The low complexity and low memory requirements make the system particularly suitable for implementation in portable ECG monitors.

収録刊行物

• IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E96.A (12), 2343-2350, 2013

  一般社団法人 電子情報通信学会

キーワード

• arrhythmia detection
• real-time
• memory-efficient
• antidictionary
• data compression

詳細情報

• CRID: 1390282681288964864
• NII論文ID: 130003385282
• NII書誌ID: AA10826239
• DOI: 10.1587/transfun.e96.a.2343
• ISSN: 17451337
• ISSN: 09168508
• NDL書誌ID: 025050779
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I025050779
• Web Site: https://www.jstage.jst.go.jp/article/transfun/E96.A/12/E96.A_2343/_pdf
• 本文言語コード: en
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