Combined CLT and DWT-Based ECG Feature Extractor

Temesghen Tekeste Habte; Hani Saleh; Baker Mohammad; Mohammed Ismail

doi:10.1007/978-3-319-97016-5_4

Combined CLT and DWT-Based ECG Feature Extractor

Temesghen Tekeste Habte
, Hani Saleh
, Baker Mohammad
, Mohammed Ismail

Electrical Engineering

Wayne State University

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

Abstract

This chapter presents an ultra-low power ECG feature extraction engine. ECG signal represents the cardiac cycle and contains key features, such as QRS complex, P-wave, and T-wave, that provide important diagnostic information about cardiovascular diseases. The ECG feature extraction is based on combined techniques of CLT and DWT. A pipelined architecture for implementing CLT is proposed. The system was fabricated using GF-65 nm technology and consumed 642 nW only when operating at a frequency of 7.5 kHz from a supply voltage of 0.6 V. Ultra-low power consumption of the SoC made it suitable for self-powered wearable devices.

Original language	British English
Title of host publication	Analog Circuits and Signal Processing
Publisher	Springer
Pages	27-38
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-319-97016-5_4
State	Published - 2019

Publication series

Name	Analog Circuits and Signal Processing
ISSN (Print)	1872-082X
ISSN (Electronic)	2197-1854

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Clock Gating
Feature Extraction Engine
Power Consumption
Thermal Energy Harvesting
Wave Delineation

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10.1007/978-3-319-97016-5_4

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title = "Combined CLT and DWT-Based ECG Feature Extractor",

abstract = "This chapter presents an ultra-low power ECG feature extraction engine. ECG signal represents the cardiac cycle and contains key features, such as QRS complex, P-wave, and T-wave, that provide important diagnostic information about cardiovascular diseases. The ECG feature extraction is based on combined techniques of CLT and DWT. A pipelined architecture for implementing CLT is proposed. The system was fabricated using GF-65 nm technology and consumed 642 nW only when operating at a frequency of 7.5 kHz from a supply voltage of 0.6 V. Ultra-low power consumption of the SoC made it suitable for self-powered wearable devices.",

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year = "2019",

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language = "British English",

series = "Analog Circuits and Signal Processing",

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AU - Saleh, Hani

AU - Mohammad, Baker

AU - Ismail, Mohammed

PY - 2019

Y1 - 2019

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AB - This chapter presents an ultra-low power ECG feature extraction engine. ECG signal represents the cardiac cycle and contains key features, such as QRS complex, P-wave, and T-wave, that provide important diagnostic information about cardiovascular diseases. The ECG feature extraction is based on combined techniques of CLT and DWT. A pipelined architecture for implementing CLT is proposed. The system was fabricated using GF-65 nm technology and consumed 642 nW only when operating at a frequency of 7.5 kHz from a supply voltage of 0.6 V. Ultra-low power consumption of the SoC made it suitable for self-powered wearable devices.

KW - Clock Gating

KW - Feature Extraction Engine

KW - Power Consumption

KW - Thermal Energy Harvesting

KW - Wave Delineation

UR - https://www.scopus.com/pages/publications/85103938158

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M3 - Chapter

AN - SCOPUS:85103938158

T3 - Analog Circuits and Signal Processing

SP - 27

EP - 38

BT - Analog Circuits and Signal Processing

PB - Springer

ER -

Combined CLT and DWT-Based ECG Feature Extractor

Abstract

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UN SDGs

Keywords

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