Power and Area Efficient Wavelet-Based On-chip ECG Processor for WBAN

Author

Liu, Xin ; Zheng, Yuanjin ; Phyu, Myint Wai ; Zhao, Bin ; Yuan, Xiaojun

Author_Institution

Integrated Circuits & Syst. Lab., Inst. of Microelectron., Singapore, Singapore

fYear

2010

fDate

7-9 June 2010

Firstpage

124

Lastpage

130

Abstract

This paper proposes a power and area efficient electrocardiogram (ECG) signal processing application specific integrated circuits (ASIC) for wireless body area networks (WBAN). This signal processing ASIC can accurately detect the QRS peak with high frequency noise suppression. The proposed ECG signal processor is implemented in 0.18μm CMOS technology. It occupies only 1.2 mm² in area and 9μW in power consumption. Therefore, this ECG processor is convenient for long-term monitoring of cardio-vascular condition of patients, and is very suitable for on-body WBAN applications.

Keywords

CMOS integrated circuits; biomedical equipment; body area networks; body sensor networks; cardiovascular system; diseases; electrocardiography; medical signal processing; patient monitoring; signal denoising; system-on-chip; wavelet transforms; ASIC; CMOS technology; ECG; ECG signal processor; QRS complex; WBAN; application specific integrated circuits; cardiovascular condition; electrocardiogram signal processing; long-term monitoring; noise suppression; wavelet transform; wavelet-based on-chip ECG processor; wireless body area network; Application specific integrated circuits; Body sensor networks; CMOS process; CMOS technology; Electrocardiography; Energy consumption; Frequency; Integrated circuit noise; Integrated circuit technology; Signal processing; ECG waveform; QRS complex; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Body Sensor Networks (BSN), 2010 International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5817-2

Type

conf

DOI

10.1109/BSN.2010.37

Filename

5504742