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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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Proceedings ArticleDOI

Vital Sign Monitoring System with Life Emergency Event Detection using Wireless Sensor Network

TL;DR: The proposed system aims to measure various vital physiological health parameters like ECG and body temperature, of patients and elderly persons and transfer his/her health status wirelessly in Ad-hoc network, to remote base station, connected to a hospital's main Server, using wireless sensor node.
Journal ArticleDOI

Smart ECG Monitoring Patch with Built-in R-Peak Detection for Long-Term HRV Analysis

TL;DR: A smart ECG patch that measures ECG using three electrodes integrated into the patch, filters the measured signals to minimize noise, performs analog-to-digital conversion, and detects R-peaks, which can help users better understand their state of health and provide physicians with more reliable data for objective diagnosis.

A software architecture for body area sensor networks : flexibility and trustworthiness

T.V. Bui
TL;DR: The final author version and the galley proof are versions of the publication after peer review and the final published version features the final layout of the paper including the volume, issue and page numbers.
Journal ArticleDOI

Accurate detection of myocardial infarction using non linear features with ECG signals

TL;DR: The proposed methodology involves pre-processing of signals and subsequent detection of R peaks using the Pan-Tompkins algorithm, which yielded the highest accuracy 97.96%, sensitivity 98.89%, and specificity 93.80% using the SVM classifier.
Journal ArticleDOI

Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification.

TL;DR: This study compared chest (CACT) and wrist (WACT) actigraphy in combination with HRV for automatic sleep vs wake classification and found 7 min as the optimal signal length for classification, while maximizing specificity (wake detection).
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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