Imperial College London

Dr Timothy Constandinou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Neural Microsystems
 
 
 
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Contact

 

+44 (0)20 7594 0790t.constandinou Website

 
 
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Assistant

 

Miss Izabela Wojcicka-Grzesiak +44 (0)20 7594 0701

 
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Location

 

B407Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Guven:2017,
author = {Guven, O and Eftekhar, A and Kindt, W and Constandinou, TG},
pages = {1571--1574},
publisher = {IEEE},
title = {Low-power real-time ECG baseline wander removal: hardware implementation},
url = {http://hdl.handle.net/10044/1/46111},
year = {2017}
}

RIS format (EndNote, RefMan)

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
EP - 1574
PB - IEEE
PY - 2017///
SP - 1571
TI - Low-power real-time ECG baseline wander removal: hardware implementation
UR - http://hdl.handle.net/10044/1/46111
ER -