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
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals.
TL;DR: A deep-transfer learning approach is proposed for the automated diagnosis of diabetes mellitus (DM), using heart rate (HR) signals obtained from electrocardiogram (ECG) data, using well-known pre-trained models, specifically: AlexNet, VggNet, ResNet, and DenseNet.
Journal ArticleDOI
An Automated Remote Cloud-Based Heart Rate Variability Monitoring System
Ahmed Faeq Hussein,Arun kumar N,Marlon Burbano-fernandez,Gustavo Ramirez-Gonzalez,Enas Abdulhay,Victor Hugo C. de Albuquerque +5 more
TL;DR: A cloud-based remote monitoring system for observing the health status of the patients after monitoring their heart rate variability was developed after considering many factors like the ease of application, costs, accuracy, and the data security.
Proceedings Article
Markov Models for Automated ECG Interval Analysis
TL;DR: It is shown that the state durations implicit in a standard hidden Markov model are ill-suited to those of real ECG features, and the use of hidden semi-Markov models for improved state duration modelling is investigated.
Journal ArticleDOI
How the Autonomic Nervous System and Driving Style Change With Incremental Stressing Conditions During Simulated Driving
Antonio Lanata,Gaetano Valenza,Alberto Greco,Claudio Gentili,Riccardo Bartolozzi,Francesco Bucchi,Francesco Frendo,Enzo Pasquale Scilingo +7 more
TL;DR: The autonomic nervous system (ANS) changes were investigated in terms of heart rate variability, respiration activity, and electrodermal response along with mechanical information such as that coming from steering wheel angle corrections, velocity changes, and time responses.
Journal ArticleDOI
Deep Learning in Cardiology
TL;DR: Deep learning has emerged as a more accurate and effective technology in a wide range of medical problems such as diagnosis, prediction, and intervention as mentioned in this paper, which is a representation learning method that consists of layers that transform data nonlinearly, revealing hierarchical relationships and structures.
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.