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
AutoSense: unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field
TL;DR: A wireless sensor suite called AutoSense that collects and processes cardiovascular, respiratory, and thermoregularity measurements that can inform about the general stress state of test subjects in their natural environment and overcomes several challenges in the design of wearable sensor systems for use in the field.
Journal ArticleDOI
QRS Detection Based on Multiscale Mathematical Morphology for Wearable ECG Devices in Body Area Networks
Fei Zhang,Yong Lian +1 more
TL;DR: A novel wearable electrocardiograph QRS detection algorithm for wearable ECG devices in body area networks is presented, which utilizes the multistage multiscale mathematical morphology filtering to suppress the impulsive noise and uses the multiframe differential modulus accumulation to remove the baseline drift and enhance the signal.
Journal ArticleDOI
Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data
Fabien Ringeval,Florian Eyben,Eleni Kroupi,Anil Yuce,Jean-Philippe Thiran,Touradj Ebrahimi,Denis Lalanne,Björn Schuller +7 more
TL;DR: The relevance of using machine learning algorithms able to integrate contextual information in the modelling, like long short-term memory recurrent neural networks do, to automatically predict emotion from several (asynchronous) raters in continuous time domains, is investigated.
Patent
Method and apparatus for determining heart rate variability using wavelet transformation
Kayvan Najarian,Kevin R. Ward,David Andre,Nisarg Vyas,Eric Teller,John Stivoric,Jonathan Farringdon,Scott Boehmke,James Gasbarro,Soo-Yeon Ji,Abed Al Raoof,Raymond Pelletier +11 more
TL;DR: In this paper, the authors used wavelet transformers to analyze heart-related electronic signals and extract features that can accurately identify various states of the cardiovascular system and predict the presence and extent of cardiovascular disease in general.
Journal ArticleDOI
An automatic beat detection algorithm for pressure signals
TL;DR: An automatic detection algorithm for pressure signals that locates the first peak following each heart beat that is called the percussion peak in intracranial pressure (ICP) signals and the systolic peak in arterial blood pressure (ABP) and pulse oximetry (SpO/sub 2/) signals is designed.
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.