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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Journal ArticleDOI
ECG authentication system design incorporating a convolutional neural network and generalized S-Transformation.
TL;DR: A new biometric authentication system for human identification that uses ECG signals as a biometric trait and integrates a generalized S-transformation and a convolutional neural network (CNN) is proposed.
Journal ArticleDOI
R Peak Detection in Electrocardiogram Signal Based on an Optimal Combination of Wavelet Transform, Hilbert Transform, and Adaptive Thresholding
TL;DR: By using wavelet and Hilbert transforms as well as by employing adaptive thresholding technique, an optimal combinational method for R peak detection namely WHAT is obtained that outperforms other techniques quantitatively and qualitatively.
Proceedings Article
Non-invasive FECG extraction from a set of abdominal sensors
TL;DR: The FUSE algorithm performed better than all the individual methods on the training set data and on the validation set, best Challenge scores obtained were E4=29.6 and E5=4.67 for events 4-5 respectively using the FUSE method.
Journal ArticleDOI
Nano- Bio- Textile Sensors with Mobile Wireless Platform for Wearable Health Monitoring of Neurological and Cardiovascular Disorders
Pratyush Rai,Sechang Oh,Prashanth Shyamkumar,Mouli Ramasamy,Robert E. Harbaugh,Vijay K. Varadan +5 more
Journal ArticleDOI
A Sleep Apnea Detection Method Based on Unsupervised Feature Learning and Single-Lead Electrocardiogram
TL;DR: An SA detection model based on frequential stacked sparse auto-encoder (FSSAE) and time-dependent cost-sensitive (TDCS) classification model is proposed by combining the hidden Markov model (HMM) and the MetaCost algorithm to improve the performance of the classifier by considering temporal dependence and the imbalance problem.
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.