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@inproceedings{Guven:2017:10.1109/ISCAS.2017.8050663,
author = {Guven, O and Eftekhar, A and Kindt, W and Constandinou, TG},
doi = {10.1109/ISCAS.2017.8050663},
pages = {1571--1574},
publisher = {IEEE},
title = {Low-power real-time ECG baseline wander removal: hardware implementation},
url = {http://dx.doi.org/10.1109/ISCAS.2017.8050663},
year = {2017}
}

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TY  - CPAPER
AB  - 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.
AU  - Guven,O
AU  - Eftekhar,A
AU  - Kindt,W
AU  - Constandinou,TG
DO  - 10.1109/ISCAS.2017.8050663
EP  - 1574
PB  - IEEE
PY  - 2017///
SP  - 1571
TI  - Low-power real-time ECG baseline wander removal: hardware implementation
UR  - http://dx.doi.org/10.1109/ISCAS.2017.8050663
UR  - http://hdl.handle.net/10044/1/46111
ER  -

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