A robust-digital QRS-detection algorithm for arrhythmia monitoring

✍ Scribed by Adriaan Ligtenberg; Murat Kunt

• Publisher: Elsevier Science
• Year: 1983
• Tongue: English
• Weight: 668 KB
• Volume: 16
• Category: Article
• ISSN: 0010-4809
• DOI: 10.1016/0010-4809(83)90027-7

✦ Synopsis

The success of automated patient monitoring is primarily dependent on the ability to detect normal as well as bizarre QRS-complexes. In this paper a new robust single lead QRSdetection algorithm is presented. The QRS detector can be separated into five different blocks, namely, a noise filter, a differentiator, an energy collector, a minimal distance classifier, and a minimax trimmer. Each block accounts for some characteristic features of QRS complexes (steepness, duration, etc.). The time delay introduced by this algorithm for making a decision is less then one second, allowing real-time applications. The performance of the QRS detector is analyzed and results are presented.

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