@inproceedings{2e5fad1e271a4a08ae9afa62ad959307,
title = "Clinical accuracy QRS detector with automatic parameter adjustment in an autonomous, real-time physiologic monitor",
abstract = "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.",
keywords = "Compact algorithm, Embedded, Physiologic monitoring, QRS detection, Realtime, Stockwell transform",
author = "Pinto, {Samuel C.} and Felton, {Christopher L.} and Lukas Smital and Gilbert, {Barry K.} and Holmes, {David R.} and Haider, {Clifton R.}",
note = "Funding Information: 1. Technological Institute of Aeronautics, Sao Jose dos Campos, Sao Paulo, Brasil; Email: samcerq@ita.br 2. Mayo Clinic, Rochester, MN, USA; felton.christopher@mayo.edu, holmes.david3@mayo.edu, haider.clifton@mayo.edu 3. Brno University Of Technology, Brno, Czech Republic; smital@feec.vutbr.cz *This work was funded by the following organizations: FNUSA-ICRC, Mayo Clinic, and Office of Naval Research Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 5th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 ; Conference date: 14-11-2017 Through 16-11-2017",
year = "2018",
month = mar,
day = "7",
doi = "10.1109/GlobalSIP.2017.8309112",
language = "English (US)",
series = "2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1005--1009",
booktitle = "2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings",
}