Journal ArticleDOI
A Real-Time QRS Detection Algorithm
Jiapu Pan,Willis J. Tompkins +1 more
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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Journal ArticleDOI
Heart rate variability as a predictive biomarker of thermal comfort
TL;DR: In this paper, heart rate variability (HRV) is used as an alternative indicator of thermal comfort status to predict human thermal states (cold, neutral, and hot) with up to 93.7% accuracy.
Journal ArticleDOI
Heart rate variability in patients recovering from general anaesthesia.
TL;DR: Heart rate variability (HRV) was found to decrease with increased weight, age, complexity of operation, use of reversal agents for neuromuscular block and preoperative beta-block, and in the group of patients that did not receive reversal agents, there was an abrupt increase in HRV when patients became responsive to verbal command.
Journal ArticleDOI
Deep learning for comprehensive ECG annotation.
TL;DR: The BeatLogic platform for ECG interpretation and validate the platform using electrophysiologist-adjudicated real-world data and publicly available validation data shows this comprehensive platform performs beat detection, beat classification, and rhythm detection/classification with greatly improved performance over the current state of the art.
Journal ArticleDOI
Multi-information fusion neural networks for arrhythmia automatic detection.
TL;DR: Compared with other studies on arrhythmia detection, the proposed Multi-information Fusion Convolutional Bidirectional Recurrent Neural Network is a state-of-the-art performance and indicates that the proposed model is a promising arrhythmmia detection algorithm for computer-aided diagnostic systems.
Journal ArticleDOI
Signal Quality Analysis of Ambulatory Electrocardiograms to Gate False Myocardial Ischemia Alarms
TL;DR: The proposed alarm gating system successfully gated false alarms with future work exploring the misidentification of fiducial points by myocardial ischemia monitoring systems will decrease the incidence of the alarm fatigue condition typically found in clinicians.
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.