Low-power real-time ECG baseline wander removal: hardware implementation

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Title: Low-power real-time ECG baseline wander removal: hardware implementation
Authors: Guven, O
Eftekhar, A
Kindt, W
Constandinou, TG
Item Type: Conference Paper
Abstract: This paper presents a hardware realisation of a novel ECG baseline drift removal that preserves the ECG signal integrity. The microcontroller implementation detects the fiducial markers of the ECG signal and the baseline wander estimation is achieved through a weighted piecewise linear interpolation. This estimated drift is then removed to recover a “clean” ECG signal without significantly distorting the ST segment. Experimental results using real data from the MIT-BIH Arrhythmia Database (recording 100 and 101) with added baseline wander (BWM1) from the MIT-BIH Noise Stress Database show an average root mean square error of 34.3uV (mean), 30.4u V (median) and 18.4uV (standard deviation) per heart beat.
Issue Date: 28-May-2017
Date of Acceptance: 17-Feb-2017
URI: http://hdl.handle.net/10044/1/46111
Publisher: IEEE
Start Page: 1571
End Page: 1574
Copyright Statement: This paper is embargoed until publication.
Conference Name: IEEE International Symposium on Circuits & Systems (ISCAS)
Publication Status: Accepted
Start Date: 2017-05-28
Finish Date: 2017-05-31
Conference Place: Baltimore, MD (USA)
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

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