Journal ArticleDOI
Optimal QRS detector.
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TLDR
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.Abstract:
The problem of detecting the QRS complex in the presence of noise was analysed. Most QRS detectors contain a filter to improve the signal-to-noise ratio and compare the signal with a threshold. In an earlier paper we identified an optimal filter. Various techniques to generate threshold and detector designs were studied. Automatic gain-control circuits with a fixed threshold have a very slow response to different rhythms. Automatic threshold circuits based on simple peak-detection schemes have a fast response, but are very sensitive to sudden variations in QRS amplitudes and noise transients. None of the methods described to date present any optimisation criteria for detecting the signal (QRS complex) in the presence of noise. The probabilities of FPs (false positives) and FNs (false negatives) were investigated and an optimised threshold criterion based on FP/FN was developed. Presently, data are being collected to compare various techniques from their ROC (receiver operating characteristics).read more
Citations
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Journal ArticleDOI
A biomimetic skin phantom for characterizing wearable electrodes in the low-frequency regime.
TL;DR: In this paper , the authors proposed a skin phantom that mimics the electrical properties of the skin in the low-frequency range (1 Hz-1000 Hz), which has the potential to be used as a platform for controlled bench-top experiments for testing electrode functionality.
Book ChapterDOI
High resolution electrocardiography. Basic and clinical aspects
Nabil El-Sherif,Mark Restivo,William Craelius,Raphael Henkin,George Kelen,John M. Fontaine,S Ursell,Gioia Turitto +7 more
TL;DR: Two different techniques have been utilized to improve signal-to-noise ratio: 1) temporal averaging (usually referred as to as signal averaging) and low noise or high resolution ECG, which utilizes spatial averaging techniques, as well as other noise reducing measures, to record the His-Purkinje signal and late potentials on a beat- to-beat basis.
Journal ArticleDOI
Mining of an electrocardiogram
TL;DR: This paper focuses on the QRS complex detection in electrocardiogram but, the idea of further recognition of anomalies in QRS complexes based on the immunology approach is described, as well as a neural network ensemble proposed in order to detectQRS complexes.
Journal ArticleDOI
Dependence of Skin-Electrode Contact Impedance on Material and Skin Hydration
TL;DR: In this article , the performance of dry electrodes could be affected by electrode material and skin hydration in controlled benchtop experiments on a biomimetic skin phantom simulating dry and hydrated skin.
Journal ArticleDOI
Wavelet-based compression of ECG signals
R.K. Kanhe,S. T. Hamde +1 more
TL;DR: It is observed that even for higher Compression Ratio (CR) fidelity can be maintained and is verified by Cross-Correlation Coefficient (CCC) and the performance parameters can support the technique of data compression.
References
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Book
Detection of signals in noise
Robert N. McDonough,A. D. Whalen +1 more
TL;DR: In underwater sonar systems, external acoustic noise is generated by waves and wind on the water surface, by biological agents (fish, prawns, etc.), and by man-made sources such as engine noise.
BookDOI
Signal Detection Theory
TL;DR: This work presents theoretical principles of the generalized approach to signal detection theory and experimental study of generalized detectors type of signals in communications detction performances.
Book
Signal Detection Theory
John C. Hancock,Paul A. Wintz +1 more
TL;DR: The starting point for signal detection theory is that nearly all decision making takes place in the presence of some uncertainty, and the classic example of detecting brief, dim flashes of light in a dark room is begun.
Journal ArticleDOI
QRS wave detection.
J Fraden,Michael R. Neuman +1 more
TL;DR: A QRS complex detector based on optimum predetection with a matched filter is described, which shows that differentiation reduces Gaussian error by √6 and errors caused by variable QRS amplitudes are close to zero.