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PINTO, S. FELTON, C. SMITAL, L. GILBERT, B. HOLMES, D. HAIDER, C.
Originální název
Clinical Accuracy QRS Detector with Automatic Parameter Adjustment in an Autonomous, Real-Time Physiologic Monitor
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper presents a computationally and temporal data-compact QRS complex detection algorithm useful in embedded real-time electrocardiogram (ECG) waveform analysis. The aim of the compact algorithms is to provide high sensitivity and specificity, i.e. diagnostically useful QRS waveform detection, in a continuous ambulatory monitor setting. The proposed detector uses a multi-level approach: QRS highlighting by means of a Truncated Discrete Time Stockwell Transform (TDTST), peak discrimination, and a trained Neural Network to reduce the number of false positive QRS detections. An optimization method is presented that automatically adjust the detector’s parameters to minimize the computational cost. Results demonstrate that the compact TDTST algorithm exhibits high QRS detection accuracy, an error rate of 0.31%, and remains applicable to real-time embedded physiologic ambulatory monitors.
Klíčová slova
Compact algorithm, Stockwell transform, Realtime, Physiologic monitoring, QRS detection, Embedded
Autoři
PINTO, S.; FELTON, C.; SMITAL, L.; GILBERT, B.; HOLMES, D.; HAIDER, C.
Vydáno
14. 11. 2017
Nakladatel
IEEE
Místo
Montreal, QC, Kanada
ISBN
978-1-5090-5990-4
Kniha
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
ISSN
2376-4066
Periodikum
IEEE Global Conference on Signal and Information Processing
Stát
Spojené státy americké
Strany od
1005
Strany do
1009
Strany počet
5
URL
https://ieeexplore.ieee.org/document/8309112
BibTex
@inproceedings{BUT143750, author="Samuel Cerqueira {Pinto} and Christopher L. {Felton} and Lukáš {Smital} and Barry {Gilbert} and David {Holmes} and Clifton {Haider}", title="Clinical Accuracy QRS Detector with Automatic Parameter Adjustment in an Autonomous, Real-Time Physiologic Monitor", booktitle="2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)", year="2017", journal="IEEE Global Conference on Signal and Information Processing", pages="1005--1009", publisher="IEEE", address="Montreal, QC, Kanada", doi="10.1109/GlobalSIP.2017.8309112", isbn="978-1-5090-5990-4", issn="2376-4066", url="https://ieeexplore.ieee.org/document/8309112" }