IEEE - Institute of Electrical and Electronics Engineers, Inc. - A Nano-Watt ECG Feature Extraction Engine in 65nm Technology

Author(s): Temesghen Tekeste ; Hani Saleh ; Baker Mohammad ; Ahsan Khandoker ; Mohammed Elnaggar
Sponsor(s): IEEE Circuits and Systems Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Paper): 1549-7747
ISSN (Online): 1558-3791
DOI: 10.1109/TCSII.2017.2658670
Regular:

This paper presents an ultra-low power Electrocardiography (ECG) feature extraction engine. ECG signal represents the cardiac cycle and contains key features such as QRS complex, P-wave and T-wave... View More

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