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Evaluation of ECG Features for the Classification of Post-Stroke Survivors with a Diagnostic Approach

Kalaivani Rathakrishnan, Seung-Nam Min, Se Jin Park
2020 Applied Sciences  
The ECG signals are denoised using the discrete wavelet transform (DWT) method, and the features such as heart rate variability (HRV), indices of time and spectral domains and statistical and impulsive  ...  Electrocardiogram (ECG) signals are used as a powerful tool in diagnosing stroke, and the analysis of ECG signals has become the focus of stroke research.  ...  ECG Signal Denoising Based on Discrete Wavelet Transform Method ECG signals are often accompanied by noise and interference.  ... 
doi:10.3390/app11010192 fatcat:lqomerqwkbcz3cvtokuiu5gi2m

J Wave Autodetection Using Analytic Time-Frequency Flexible Wavelet Transformation Applied on ECG Signals

Deng-ao Li, Jie Zhou, Jumin Zhao, Xinyan Liu
2018 Mathematical Problems in Engineering  
Therefore, a new technique which is capable of detecting J wave using analytic time-frequency flexible wavelet transformation (ATFFWT) is proposed in this paper.  ...  The developed effective algorithm can be used to design an expert system to aid clinicians in their regular diagnosis.  ...  Recently, it has been applied for characterization of coronary artery disease [22, 23] , myocardial infarction ECG signals [23] , and detection of congestive heart failure using heart rate variability  ... 
doi:10.1155/2018/6791405 fatcat:x5bo6yrlkrcebfxw6i2oixe6b4

An Automated Detection of CAD Using the Method of Signal Decomposition and Non Linear Entropy Using Heart Signals

Padmavathi C, Veenadevi S.V
2019 International Journal of Image Graphics and Signal Processing  
The heart rate signals are decomposed into frequency sub-bands using Discrete Wavelet Transform (DWT) in paper [3] .  ...  These methods are used to extract the nonlinear information from the heart rate signal which serves as a tool to aid clinicians in diagnosing CAD.  ... 
doi:10.5815/ijigsp.2019.02.04 fatcat:6m3yrkxus5gohcnmcnarnh6ld4

Experimental analysis of heart rate variability of long-recording electrocardiograms in normal subjects and patients with coronary artery disease and normal left ventricular function

S. Nikolopoulos, A. Alexandridi, S. Nikolakeas, G. Manis
2003 Journal of Biomedical Informatics  
The heart rate signal contains valuable information about cardiac health, which cannot be extracted without the use of appropriate computerized methods.  ...  Linear and nonlinear characteristics are studied by applying several techniques including Fourier analysis, Correlation Dimension Estimation, Approximate Entropy, and the Discrete Wavelet Transform.  ...  Introduction Heart rate variability (HRV) refers to the beat-to-beat alterations in heart rate and a decrease in its value has been used as a measure for predicting future coronary events [1] [2] [3]  ... 
doi:10.1016/j.jbi.2003.09.001 pmid:14615229 fatcat:llclx4fbjbemvevkxr64zz4fl4

Computational Diagnostic Techniques for Electrocardiogram Signal Analysis

Liping Xie, Zilong Li, Yihan Zhou, Yiliu He, Jiaxin Zhu
2020 Sensors  
Computer-aided techniques provide fast and accurate tools to identify CVDs using a patient's ECG signal, which have achieved great success in recent years.  ...  Electrocardiogram (ECG) records the electrical impulses generated by heart muscles, which reflect regular or irregular beating activity.  ...  and computer-aided diagnosis of heart disease.  ... 
doi:10.3390/s20216318 pmid:33167558 pmcid:PMC7664289 fatcat:echda3mznbekrclhwj3e774gc4

Application of Computational Intelligence Techniques for Cardiovascular Diagnostics [chapter]

C. Nataraj, A. Jalali, P. Ghorbani
2012 The Cardiovascular System - Physiology, Diagnostics and Clinical Implications  
(Javorka, Lazarova et al. 2011) compared heart rate and blood pressure variability among young patients with type I diabetes mellitus (DM) and control subjects by using Poincare plots, which are the standard  ...  This plot is commonly used in heart rate variability (HRV) analysis.  ...  Phone: +86-21-62489820 Fax: +86-21-62489821 The cardiovascular system includes the heart located centrally in the thorax and the vessels of the body which carry blood.  ... 
doi:10.5772/38032 fatcat:pcswjpltlrbbtmiv74rztbooxm

Detection of coronary artery disease by reduced features and extreme learning machine

Ram Sewak Singh, Barjinder Singh Saini, Ramesh Kumar Sunkaria
2018 Clujul Medical  
Therefore, an early identification of CAD and diagnosis is essential. For this, we have proposed a new approach to detect the CAD patients using heart rate variability (HRV) signals.  ...  The ranking strategies designate rank to the available features extracted by entropy methods from decomposed heart rate variability (HRV) signals and organize them according to their clinical importance  ...  Advanced digital signal processing approaches can be used in computer-aided diagnosis system to detect the CAD patients.  ... 
doi:10.15386/cjmed-882 pmid:29785154 pmcid:PMC5958981 fatcat:gca65cqrcnecngsrctb5qe5csu

Analysis of the Radial Pulse Wave and Its Clinical Applications: A Survey

Jinzhong Yang, Lin Yang, Wenyan Liu, Shuo Du, Lisheng Xu, Guangyu He, Alberto Avolio, Yudong Yao
2021 IEEE Access  
The research reported here was, in part, supported by the National Natural Science Foundation of China (Nos.  ...  of type II diabetes mellitus [40] Frequency components of pulse wave Analysis of the respiratory rate and heart rate [11] Time-frequency joint analysis Wavelet energy, wavelet entropy Recognition  ...  Variability Heart rate variability (HRV) refers to the time difference between one heartbeat and another.  ... 
doi:10.1109/access.2021.3128916 fatcat:yvxjjy5eenacfk4sgcyeq5roa4

A Comprehensive Review: Computational Models for Obstructive Sleep Apnea Detection in Biomedical Applications

E. Smily JeyaJothi, J. Anitha, Shalli Rani, Basant Tiwari, Yuvaraja Teekaraman
2022 BioMed Research International  
With the advent of computer-aided diagnosis (CAD), automatic detection of OSA has gained increasing interest among researchers in the area of sleep disorders as it influences both diagnostic and therapeutic  ...  The current study presents an overview of the pathophysiology of OSA, the detection methods, physiological signals related to OSA, the different preprocessing, feature extraction, feature selection, and  ...  In the case study where HR signals are used for the classification purpose, the accuracy achieved is 82.12% using SVM [104] , while heart rate variability signal extracted using wavelet decomposition  ... 
doi:10.1155/2022/7242667 pmid:35224099 pmcid:PMC8866013 fatcat:mjcwveq2wvbr5o32liselabvmq


2016 Journal of Mechanics in Medicine and Biology  
Diagnosis DB Database ECG Electrocardiogram EDR ECG-Derived Respiration EEG Electroencephalogrphy FFT Fast Fourier Transform HR Heart Rate HRV Heart Rate Variability ICA Independent Component Analysis  ...  The discrete wavelet transform compares the measured signal with the filter transfer functions. The wavelet transform results show location and quality of the comparison.  ... 
doi:10.1142/s0219519416400042 fatcat:hxnawvejmvamtfcwe4k7zjr55m

Prediction of Cardiac Arrhythmia using Artificial Neural Network

J. P.Kelwade, S. S. Salankar
2015 International Journal of Computer Applications  
Heart Rate Variability (HRV) is a non-invasive way of analysis for estimating the autonomic nervous system and based on measurement of the variability of heart rate signals.  ...  The 70% of the datasets are used to train MLP neural network.  ...  ECG signal and heart rate are the parameter used for detection of heart diseases. V. Khanna et al.  ... 
doi:10.5120/20270-2679 fatcat:vbksybq4knhbda526avhdrwl2u

A Comprehensive Review of Techniques for Processing and Analyzing Fetal Heart Rate Signals

Alfonso Maria Ponsiglione, Carlo Cosentino, Giuseppe Cesarelli, Francesco Amato, Maria Romano
2021 Sensors  
The availability of standardized guidelines regarding the use of electronic fetal monitoring (EFM) in clinical practice has not effectively helped to solve the main drawbacks of fetal heart rate (FHR)  ...  Neural Networks, whose application to the analysis of accelerations in FHR signals is also examined in a case study conducted by the authors.  ...  analyze the heart rate variability (HRV) of adult subjects [31] [32] [33] [34] , the field of fetal heart monitoring, despite a few examples of works focused on the neonatal and perinatal medicine [35  ... 
doi:10.3390/s21186136 pmid:34577342 pmcid:PMC8469481 fatcat:liybhxskwrarnjv4dg337nueu4

Use of Accumulated Entropies for Automated Detection of Congestive Heart Failure in Flexible Analytic Wavelet Transform Framework Based on Short-Term HRV Signals

Mohit Kumar, Ram Pachori, U. Acharya
2017 Entropy  
In the present work, an automated method to diagnose Congestive Heart Failure (CHF) using Heart Rate Variability (HRV) signals is proposed.  ...  This method is based on Flexible Analytic Wavelet Transform (FAWT), which decomposes the HRV signals into different sub-band signals.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/e19030092 fatcat:cozykox63zcbjm64ylinwb6fam

Computer Aided Diagnosis - Medical Image Analysis Techniques [chapter]

Bhagirathi Halalli, Aziz Makandar
2018 Breast Imaging  
The radiologists find it difficult to interpret the digital mammography; hence, computer-aided diagnosis (CAD) technology helps to improve the performance of radiologists by increasing sensitivity rate  ...  Current research is focused toward the designing and development of medical imaging and analysis system by using digital image processing tools and the techniques of artificial intelligence, which can  ...  Hence, in this CAD system, different Discrete wavelet transform (DWT) The DWT is wavelet transform using discrete set of scales and translations followed by some rules.  ... 
doi:10.5772/intechopen.69792 fatcat:nui4ocziwzgz3ahjch4unqd4d4

Echocardiographic texture analysis using the wavelet transform: differentiation of early heart muscle disease

Edmund K Kerut, Michael B Given, Elizabeth McIlwain, Gayle Allen, C Espinoza, Thomas D Giles
2000 Ultrasound in Medicine and Biology  
Ethanol-associated blunting of textural changes in diabetic rats was also noted. This method for quantitation of ventricular texture may be relevant for diagnosis of early cardiomyopathy.  ...  In a rat model of diabetic cardiomyopathy, the 2-D wavelet decomposition method identified textural energy changes before development of echocardiographic structural changes.  ...  One-dimensional wavelets are used in analysis of various time-domain signals including evoked potentials (Bertrand et al. 1994) , heart rate variability analysis (Gamero et al. 1996) and ventricular  ... 
doi:10.1016/s0301-5629(00)00289-1 pmid:11179619 fatcat:bytrgilhr5bq5lmzf325a6ovou
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