An accurate and automatic system for extracting features from ECG paper recordings: its use in clinical studies and telemedicine

Chia, Puey Ling; Ong, Kai Wen; Bhullar, H.K.

doi:10.1109/cic.1996.542575

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…And by this method more than 53 samples of ECG data signal, each of 60 s length were taken from 53 different persons of different ages and gender, to analyse the response time of the results. Further they were compared by the time taken by the normal ECG reports in which, first the respective ECG chart is seen by the cardiologist, which takes the decision of any problem if incurred [18][19][20].…”

Section: Methodsmentioning

confidence: 99%

Designing a simple toolbox for the early detection of arrhythmia, using advanced virtual instrumentation.

Sharma¹,

Shukla²

2019

biomedicalresearch

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An arrhythmia is a disease in which the heart may beat too fast, too early, too slow or irregular and few may give rise to death or irreparable danger. Atrial fibrillation is one of the most common types of arrhythmia; in this case the heart may race at more than 400 beats per minute. The complications due to atrial fibrillation may lead to cardiomyopathy, haemodynamic instability, strokes or even cardiac failure. The main purpose of this study is to design and develop a simple tool box for the early detection of the atrial fibrillation using the biomedical toolkit of the LabVIEW. As ECG is the conventional method of its detection, but suffers several disadvantages regarding accuracy in diagnosis, but when these vital signals are subjected to the real time analysis on a specially designed LabVIEW based toolbox, the diagnosis accuracy and the correct prediction increases several times. This study will prove to be a great panacea for the cardiac affected patients when the fatal threat to the heart, arrhythmia will be detected at a very early stages.

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Section: Methodsmentioning

confidence: 99%

Designing a simple toolbox for the early detection of arrhythmia, using advanced virtual instrumentation.

Sharma¹,

Shukla²

2019

biomedicalresearch

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“…Dozens of digitizing methods for paper ECGs have been developed for this purpose. [11][12][13][14][15] In general, the paper ECGs are first scanned by a flatbedscanner and the resulting raster image is converted to a desired digital data format. The digitizing process introduces some technical problems that have not been addressed adequately in the literature thus far.…”

mentioning

confidence: 99%

Influence of Paper Electrocardiogram Digitizing on T Wave and QRS Complex Morphology Parameters

Karsikas

Huikuri

Perkiömäki

et al. 2007

Noninvasive Electrocardiol

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Feature extraction and characterization of cardiovascular arrhythmia and normal sinus rhythm from ECG signals using LabVIEW

Zaidi

Ahmed

Bakibillah

2017

2017 IEEE International Conference on Imaging, Vision &Amp; Pattern Recognition (icIVPR)

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An accurate and automatic system for extracting features from ECG paper recordings: its use in clinical studies and telemedicine

Cited by 6 publications

References 3 publications

Designing a simple toolbox for the early detection of arrhythmia, using advanced virtual instrumentation.

Designing a simple toolbox for the early detection of arrhythmia, using advanced virtual instrumentation.

Influence of Paper Electrocardiogram Digitizing on T Wave and QRS Complex Morphology Parameters

Feature extraction and characterization of cardiovascular arrhythmia and normal sinus rhythm from ECG signals using LabVIEW

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