Ramesh Kumar Sunkaria

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Detection of QRS complex in electrocardiogram (ECG) signals is of immense importance in cardiac health prognosis. In this paper a new symmetric wavelet for detection of R-peak is presented, which has been designed based on spectral characteristics and morphology of QRS complex. The detection of R-peak was carried out using this designed wavelet, and with(More)
The aim of this study is to present a Computer aided (CAD) system for assisting radiologists in multiclass classification of brain tumors. The diagnosis method consists of four stages pre-processing of MR images, feature extraction, feature reduction and classification. The features are extracted based on discrete wavelet transformation (DWT) using(More)
The sample entropy (SampEn) has been widely used to quantify the complexity of RR-interval time series. It is a fact that higher complexity, and hence, entropy is associated with the RR-interval time series of healthy subjects. But, SampEn suffers from the disadvantage that it assigns higher entropy to the randomized surrogate time series as well as to(More)
Separating an information-bearing signal from the background noise is a general problem in signal processing. In a clinical environment during acquisition of an electrocardiogram (ECG) signal, The ECG signal is corrupted by various noise sources such as powerline interference (PLI), baseline wander and muscle artifacts. This paper presents novel methods for(More)
A multi-layer artificial neural network (ANN)-based heart rate variability (HRV) classifier has been proposed, which gives the cardiac health status as the output based on HRV of the patients independently of the cardiologists' view. The electrocardiogram (ECG) data of 46 patients were recorded in the out-patient department (OPD) of a hospital and HRV was(More)
Electrocardiogram (ECG) signal shows the electrical activity of the heart and provides useful information that helps in analyzing the patient's heart condition. But different noises get contaminated with ECG signal during its acquisition and transmission, which can cause a great deal of hindrance to manual and automatic analysis of ECG signals and they may(More)
The autonomic nervous system regulates the heart rate through its sympathetic and para-sympathetic nervous system to maintain body visceral homeostasis. The sympathetic tone enhances the heart rate whereas the para-sympathetic tone inhibits this rise. The continuous variation of heart rate in synchronism with visceral systems is termed as heart rate(More)