In this section
@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}
}
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 -