Improving detection algorithm of life-threatening arrhythmias for implementation of implantable cardioverter-defibrillators

Makoto Abe, Makoto Yoshizawa, Telma Keiko Sugai, Noriyasu Homma, Norihiro Sugita, Kazuo Shimizu, Moe Goto, Masashi Inagaki, Masaru Sugimachi, Kenji Sunagawa

Research output: Contribution to journalArticlepeer-review

Abstract

The implantable cardioverter-defibrillator (ICD) is an effective therapeutic device for rescuing patients with cardiac diseases from death caused by life-threatening arrhythmias. The authors previously proposed a detection algorithm of life-threatening arrhythmias with a multiple regression model. To enhance the classification accuracy, in the present study, we have introduced an autoregressive filter and a multiple detection process into the previous detection algorithm. The experimental results showed that the proposed method could attain a high accuracy such that all ventricular fibrillation rhythms could be exactly detected. In addition, detection errors of sinus rhythms or supraventricular tachyarrhythmias provoking the ICD malfunction were reduced.

Original languageEnglish
Pages (from-to)1943-1948
Number of pages6
JournalIEEJ Transactions on Electronics, Information and Systems
Volume132
Issue number12
DOIs
Publication statusPublished - 2012

Keywords

  • Implantable cardioverter-defibrillator
  • Life-threatening arrhythmia
  • Multiple regression model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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