Journal ArticleDOI
A Real-Time QRS Detection Algorithm
Jiapu Pan,Willis J. Tompkins +1 more
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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.read more
Citations
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Proceedings ArticleDOI
ECG-based biometrics using recurrent neural networks
Ronald Salloum,C.-C. Jay Kuo +1 more
TL;DR: The use of recurrent neural networks (RNNs) to develop an effective solution to two problems in electrocardiogram (ECG)-based biometrics: identification/classification and authentication was proposed.
Journal ArticleDOI
An adaptive backpropagation neural network for real-time ischemia episodes detection: development and performance analysis using the European ST-T database
TL;DR: The results show that NN can be used in electrocardiogram (EGG) processing in cases where fast and reliable detection of ischemic episodes is desired as in the case of critical care units (CCUs).
Journal ArticleDOI
Detection of abnormal heart conditions based on characteristics of ECG signals
TL;DR: A fast and accurate classifier that simulates the diagnosis of the cardiologist to classify the ECG signals into normal and abnormal from a single lead ECG signal and better than other well-known classifiers is proposed.
Journal ArticleDOI
Novel Real-Time Low-Complexity QRS Complex Detector Based on Adaptive Thresholding
TL;DR: This algorithm is based on a differentiation at the pre-processing stage combined with a dynamic threshold to detect R peaks and achieves a reduction in processing time of almost 50% by using only the 25% of hardware resources (memory, adders, and multipliers).
Journal ArticleDOI
The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review.
Ka Hou Christien Li,Ka Hou Christien Li,Francesca Anne White,Timothy Tipoe,Tong Liu,Martin C.S. Wong,Aaron Jesuthasan,Adrian Baranchuk,Gary Tse,Bryan P. Yan +9 more
TL;DR: It is suggested that there is a role for mobile phone apps in the diagnosis, monitoring, and screening for arrhythmias and HR and further studies are warranted to validate their use for large scale AF screening.
References
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Journal ArticleDOI
Software QRS detection in ambulatory monitoring--a review.
Olle Pahlm,Leif Sörnmo +1 more
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
Adriaan Ligtenberg,Murat Kunt +1 more
TL;DR: In this paper a new robust single lead QRS-detection algorithm is presented, allowing real-time applications and results are presented.