Efficient Algorithm for VT/VF Prediction for IoT SoCs

Temesghen Tekeste; Hani Saleh

doi:10.1007/978-3-319-93100-5_13

Efficient Algorithm for VT/VF Prediction for IoT SoCs

Temesghen Tekeste
, Hani Saleh

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-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 language	British English
Title of host publication	The IoT Physical Layer
Subtitle of host publication	Design and Implementation
Pages	233-243
Number of pages	11
ISBN (Electronic)	9783319931005
DOIs	https://doi.org/10.1007/978-3-319-93100-5_13
State	Published - 1 Jan 2018

Keywords

Classifier
Prediction
Ventricular arrhythmia

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10.1007/978-3-319-93100-5_13

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title = "Efficient Algorithm for VT/VF Prediction for IoT SoCs",

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.",

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PY - 2018/1/1

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AB - 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.

KW - Classifier

KW - Prediction

KW - Ventricular arrhythmia

UR - https://www.scopus.com/pages/publications/85063468367

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M3 - Chapter

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SN - 9783319930992

SP - 233

EP - 243

BT - The IoT Physical Layer

ER -

Efficient Algorithm for VT/VF Prediction for IoT SoCs

Abstract

Keywords

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