Efficient Algorithm for VT/VF Prediction for IoT SoCs

Temesghen Tekeste, Hani Saleh

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, a novel algorithm for predicting ventricular arrhythmia (VA) is presented. It utilizes a unique set of ECG features with LDA classifier. These features are extracted from two consecutive heartbeats. The proposed method achieves a capability of predicting the arrhythmia up to 3 h before the onset with an accuracy of 99.1.

Original languageBritish English
Title of host publicationThe IoT Physical Layer
Subtitle of host publicationDesign and Implementation
Pages233-243
Number of pages11
ISBN (Electronic)9783319931005
DOIs
StatePublished - 1 Jan 2018

Keywords

  • Classifier
  • Prediction
  • Ventricular arrhythmia

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