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Journal ArticleDOI

A Real-Time QRS Detection Algorithm

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TLDR
A real-time algorithm that reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width of ECG signals and automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate.
Abstract
We have developed a real-time algorithm for detection of the QRS complexes of ECG signals. It reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width. A special digital bandpass filter reduces false detections caused by the various types of interference present in ECG signals. This filtering permits use of low thresholds, thereby increasing detection sensitivity. The algorithm automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate. For the standard 24 h MIT/BIH arrhythmia database, this algorithm correctly detects 99.3 percent of the QRS complexes.

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Citations
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Journal ArticleDOI

A knowledge-based technique for automated detection of ischaemic episodes in long duration electrocardiograms.

TL;DR: A novel method for the detection of ischaemic episodes in long duration ECGs is proposed that includes noise handling, feature extraction, rule-based beat classification, sliding window classification and ischaemia episode identification, all integrated in a four-stage procedure.
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Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents.

TL;DR: It was observed that the linear classification algorithm was not able to detect heart attack in noisy data, whereas the support vector machine (SVM) algorithm with polynomial kernel with extended time–frequency features using extended modified B-distribution (EMBD) showed highest accuracy and was able to detection 97.4% and 96.3% of ST-elevation myocardial infarction and non-ST-Elevation MI, respectively.
Posted Content

A reproducible study on remote heart rate measurement

TL;DR: A new, publicly available database containing a relatively large number of subjects recorded under two different lighting conditions is presented and three state-of-the-art rPPG algorithms from the literature are selected, implemented and released as open source free software.
Journal ArticleDOI

PhysioZoo: A Novel Open Access Platform for Heart Rate Variability Analysis of Mammalian Electrocardiographic Data

TL;DR: An open source software solution specifically designed for HRV analysis from ECG data of multiple mammals, including humans, is created and enables the standardization and reproducibility ofHRV analysis in mammalian models through its open source code, freely available software, and open access databases.
Proceedings ArticleDOI

A simple real-time QRS detection algorithm

TL;DR: A simple algorithm using topological mapping has been developed for a real-time detection of the QRS complexes of ECG signals and to describe a change of curvature, the authors derive modified spatial velocity (MSV), from MSV the authors can locate Q RS complexes more easily.
References
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Journal ArticleDOI

Software QRS detection in ambulatory monitoring--a review.

TL;DR: This review asserts that most one-channel QRS detectors described in the literature can be considered as having the same basic structure and a discussion of some of the current detection schemes is presented.
Journal ArticleDOI

Optimal QRS detector.

TL;DR: The problem of detecting the QRS complex in the presence of noise was analysed and an optimised threshold criterion based on FP/FN was developed.
Journal ArticleDOI

Automated High-Speed Analysis of Holter Tapes with Microcomputers

TL;DR: An automated Holtes scanning system based on two microcomputers that detects QRS complexes and measures the QRS durations using computations of first and second derivatives, and can process Holter tapes at 60 times real time and produce printed summaries and 24 h trend plots.
Journal ArticleDOI

Online digital filters for biological signals: some fast designs for a small computer.

TL;DR: The possibilities for extending the class of lowpass recursive digital filters to include high pass, bandpass, and bandstop filters are described, and experience with a PDP 11 computer has shown that these filters may be programmed simply using machine code, and that online operation at sampling rates up to about 8 kHz is possible.
Journal ArticleDOI

A robust-digital QRS-detection algorithm for arrhythmia monitoring

TL;DR: In this paper a new robust single lead QRS-detection algorithm is presented, allowing real-time applications and results are presented.
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