Ultra-low-power ECG processor for IoT SOCs

Temesghen Tekeste; Yonatan Kifle; Hani Saleh; Baker Mohammad; Mohammed Ismail

doi:10.1007/978-3-319-93100-5_9

Ultra-low-power ECG processor for IoT SOCs

Temesghen Tekeste, Yonatan Kifle, Hani Saleh, Baker Mohammad, Mohammed Ismail

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter presents an ultra-low-power ECG processor for applications of IoT devices. It includes full system description consisting of ECG analog front end, ECG feature extraction and ventricular arrhythmia (VA) prediction system. Each of these components operate at ultra-low-power dissipation utilizing low-power circuits and architectures. The digital processing part is computation efficient that does ECG feature extraction using curve length transform (CLT) and discrete wavelet transform (DWT)Moreover, the VA predictor is implemented using linear classifier which is also hardware friendly.

Original language	British English
Title of host publication	The IoT Physical Layer
Subtitle of host publication	Design and Implementation
Pages	141-152
Number of pages	12
ISBN (Electronic)	9783319931005
DOIs	https://doi.org/10.1007/978-3-319-93100-5_9
State	Published - 1 Jan 2018

Keywords

Curve length transform
Discrete wavelet transform
ECG
Ventricular arrhythmia

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10.1007/978-3-319-93100-5_9

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abstract = "This chapter presents an ultra-low-power ECG processor for applications of IoT devices. It includes full system description consisting of ECG analog front end, ECG feature extraction and ventricular arrhythmia (VA) prediction system. Each of these components operate at ultra-low-power dissipation utilizing low-power circuits and architectures. The digital processing part is computation efficient that does ECG feature extraction using curve length transform (CLT) and discrete wavelet transform (DWT)Moreover, the VA predictor is implemented using linear classifier which is also hardware friendly.",

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Ultra-low-power ECG processor for IoT SOCs

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Keywords

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