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research article

A modular low-complexity ECG delineation algorithm for real-time embedded systems

Bote, Jose Manuel
•
Recas, Joaquin  
•
Rincon Vallejos, Francisco Javier  
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March 1, 2018
Journal of Biomedical Informatics

This work presents a new modular and lowcomplexity algorithm for the delineation of the different ECG waves (QRS, P and T peaks, onsets and end). Involving a reduced number of operations per second and having a small memory footprint, this algorithm is intended to perform realtime delineation on resource-constrained embedded systems. The modular design allows the algorithm to automatically adjust the delineation quality in run time to a wide range of modes and sampling rates, from a Ultra-low power mode when no arrhythmia is detected, in which the ECG is sampled at low frequency, to a complete High-accuracy delineation mode in which the ECG is sampled at high frequency and all the ECG fiducial points are detected, in case of arrhythmia. The delineation algorithm has been adjusted using the QT database, providing very high sensitivity and positive predictivity, and validated with the MIT database. The errors in the delineation of all the fiducial points are below the tolerances given by the Common Standards for Electrocardiography (CSE) committee in the High-accuracy mode, except for the P wave onset, for which the algorithm is above the agreed tolerances by only a fraction of the sample duration. The computational load for the ultra-low-power 8-MHz TI MSP430 series microcontroller ranges from 0.2 to 8.5% according to the mode used.

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Type
research article
DOI
10.1109/JBHI.2017.2671443
Author(s)
Bote, Jose Manuel
Recas, Joaquin  
Rincon Vallejos, Francisco Javier  
Atienza Alonso, David  
Hermida, Roman
Date Issued

2018-03-01

Published in
Journal of Biomedical Informatics
Volume

22

Issue

2

Start page

429

End page

441

Subjects

Electrocardiogram

•

Delineation

•

real-time

•

embedded systems

•

low power

•

wearable

•

medical devices

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
NCCR-ROBOTICS  
ESL  
Available on Infoscience
February 10, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/134253
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