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Journal ArticleDOI

A Real-Time QRS Detection Algorithm

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.

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Citations
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Journal ArticleDOI

Beat-ID: Towards a computationally low-cost single heartbeat biometric identity check system based on electrocardiogram wave morphology.

TL;DR: This paper presents a computationally low-cost method, including simple mathematical operations, for identifying a person using only three ECG morphology-based characteristics from a single heartbeat, which has FRR/FAR behavior similar to obtaining a fingerprint, yet it is simpler and requires less expensive hardware.
Proceedings ArticleDOI

Wearable Band Using a Fabric-Based Sensor for Exercise ECG Monitoring

TL;DR: Results in resting, walking, or jogging, show this fabric-based garment sensing system can steadily, continuously and precisely get the ECG, RRI and HRV.
Journal ArticleDOI

Local Pulse Wave Detection Using Continuous Wave Radar Systems

TL;DR: The cardiovascular system is investigated, as well as the effects due to the antenna characteristics, and a connection to the variety of heartbeat signals that can be found in comparable publications is established.
Journal ArticleDOI

An automated algorithm for online detection of fragmented QRS and identification of its various morphologies.

TL;DR: An automated algorithm for detection of f-QRS from the ECG and identification of its various morphologies is proposed in this work, which is the first work of its kind and will allow it to be implemented for hospital-based remote monitoring and ICD devices.
Journal ArticleDOI

ECG artifact cancellation in surface EMG signals by fractional order calculus application

TL;DR: In this paper, a novel method combining a median filter and fractional order calculus can be used for automatic filtering of electrocardiography artifacts in the surface electromyography signal envelopes recorded in trunk muscles.
References
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Journal ArticleDOI

Software QRS detection in ambulatory monitoring--a review.

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

TL;DR: In this paper a new robust single lead QRS-detection algorithm is presented, allowing real-time applications and results are presented.
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