Low-power real-time ECG baseline wander removal: hardware implementation
File(s)2017_ISCAS_ECG_Onur_Published.pdf (1.46 MB)
Accepted version
Author(s)
Guven, O
Eftekhar, A
Kindt, W
Constandinou, TG
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.
Date Issued
2017-09-28
Date Acceptance
2017-02-17
Citation
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017, pp.1571-1574
Publisher
IEEE
Start Page
1571
End Page
1574
Journal / Book Title
2017 IEEE International Symposium on Circuits and Systems (ISCAS)
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
IEEE International Symposium on Circuits and Systems (ISCAS)
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Publication Status
Published
Start Date
2017-05-28
Finish Date
2017-05-31
Coverage Spatial
Baltimore, MD (USA)
Date Publish Online
2017-09-28