Journal

The adaptability of heart to external and internal stimuli is reflected by the heart rate variability (HRV). Reduced HRV can be a predictor of negative cardiovascular outcomes. Based on the nonlinear, nonstationary, and highly complex dynamics of the controlling mechanism of the cardiovascular system, linear HRV measures have limited capability …

The dynamics of lung cancer is the major cause of cancer-related deaths worldwide, with poor survival due to the poor diagnostic system at the advanced cancer stage. In the past, researchers developed computer-aided diagnosis (CAD) systems, which radiologists greatly used for identifying abnormalities and applying a few feature-extracting methods. The …

Abstract: Cancer is a major public health problem across the globe due to which millions of deaths occur every year. In the United States, prostate Cancer is the second leading cause of cancer related deaths in men. The major causes of prostate cancer include increasing age, family history, diet, sexual …

Cardiac arrhythmias are disturbances in the rhythm of the heart manifested by irregularity or by abnormally fast rates (‘tachycardia’) or abnormally slow rates (‘bradycardias’). In the past researchers extracted different features extracting strategies to detect the arrhythmia. Since, signals acquired from subjects suffered with arrhythmia are multivariate, highly nonlinear, nonstationary, …

Background: Brain tumor is the leading reason for death in people. It is obvious that the chances of survival can be increased if the tumor is identified and properly classified at an initial stage. MRI (Magnetic Resonance Imaging) is one source of brain tumors detection tool and these are extensively …

Objective Epilepsy is a neuronal disorder for which the electrical discharge in the brain is synchronized, abnormal and excessive. To detect the epileptic seizures and to analyse brain activities during different mental states, various methods in non-linear dynamics have been proposed. This study is an attempt to quantify the complexity …

The use of biomarkers for early detection of Alzheimer’s disease (AD) improves the accuracy of imaging‐based prediction of AD and its prodromal stage that is mild cognitive impairment (MCI). Brain parcellation‐based computer‐aided methods for detecting AD and MCI segregate the brain in different anatomical regions and use their features to …

In this paper, we have employed K-d tree algorithmic based Multiscale entropy analysis (MSE) to distinguish the alcoholic subjects from the non-alcoholic. Traditional MSE technique have been used in many applications to quantify the dynamics of physiological time series at multiple temporal scales. However, this algorithm requires O (N2) i.e. …

Prostate is a second leading causes of cancer deaths among men. Early detection of cancer can effectively reduce the rate of mortality caused by Prostate cancer. Due to high and multiresolution of MRIs from prostate cancer require a proper diagnostic systems and tools. In the past researchers developed Computer aided …

Epilepsy is a neurological disorder produced due to abnormal excitability of neurons in the brain. The research reveals that brain activity is monitored through electroencephalogram (EEG) of patients suffered from seizure to detect the epileptic seizure. The performance of EEG detection based epilepsy require feature extracting strategies. In this research, …