Journal ArticleDOI
A statistical approach for determination of time plane features from digitized ECG
TLDR
A method for time-plane feature extraction from digitized ECG sample using statistical approach, broadly based on relative comparison of magnitude and slopes of ECG samples is illustrated.About:
This article is published in Computers in Biology and Medicine.The article was published on 2011-05-01. It has received 38 citations till now.read more
Citations
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Journal ArticleDOI
Application of Cross Wavelet Transform for ECG Pattern Analysis and Classification
TL;DR: The proposed algorithm analyzes ECG data utilizing XWT and explores the resulting spectral differences and heuristically determined mathematical formula extracts the parameter(s) from the WCS and WCOH that are relevant for classification of normal and abnormal cardiac patterns.
Journal ArticleDOI
A comprehensive survey of wearable and wireless ECG monitoring systems for older adults
TL;DR: The results of the review suggest that most research in wearable ECG monitoring systems focus on the older adults and this technology has been adopted in aged care facilitates and it is shown that how mobile telemedicine systems have evolved and how advances in wearable wireless textile-based systems could ensure better quality of healthcare delivery.
Journal ArticleDOI
R-Peak Detection Algorithm for Ecg using Double Difference And RR Interval Processing
TL;DR: The proposed method consists of three stages: sorting and thresholding of the squared double difference signal of the ECG data to locate the pproximate Q RS regions, relative magnitude comparison in the QRS regions to detect the approximate R-peaks and RR interval processing to ensure accurate detection of peaks.
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Improved Bat algorithm for the detection of myocardial infarction
TL;DR: A method for extracting key features from each cardiac beat using Improved Bat algorithm is presented and it has been observed that the performance of the classifier is improved with the help of the optimized features.
Journal ArticleDOI
ECG based Myocardial Infarction detection using Hybrid Firefly Algorithm
TL;DR: The proposed approach has shown that methods that are based on the feature optimization of the ECG signals are the perfect to diagnosis the condition of the heart patients.
References
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Journal ArticleDOI
A Real-Time QRS Detection Algorithm
Jiapu Pan,Willis J. Tompkins +1 more
TL;DR: 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.
Journal ArticleDOI
Detection of ECG characteristic points using wavelet transforms
TL;DR: An algorithm based on wavelet transforms (WT's) has been developed for detecting ECG characteristic points and the relation between the characteristic points of ECG signal and those of modulus maximum pairs of its WT's is illustrated.
Journal ArticleDOI
A wavelet-based ECG delineator: evaluation on standard databases
TL;DR: A robust single-lead electrocardiogram (ECG) delineation system based on the wavelet transform (WT), outperforming the results of other well known algorithms, especially in determining the end of T wave.
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Quantitative Investigation of QRS Detection Rules Using the MIT/BIH Arrhythmia Database
TL;DR: This work implemented and tested a final real-time QRS detection algorithm, using the optimized decision rule process, which has a sensitivity of 99.69 percent and positive predictivity of 98.77 percent when evaluated with the MIT/BIH arrhythmia database.
Journal ArticleDOI
A comparison of the noise sensitivity of nine QRS detection algorithms
TL;DR: The noise sensitivities of nine different QRS detection algorithms were measured for a normal, single-channel, lead-II, synthesized ECG corrupted with five different types of synthesized noise: electromyographic interference, 60-Hz power line interference, baseline drift due to respiration, abrupt baseline shift, and a composite noise constructed from all of the other noise types.