Automatic epileptic seizure detection in EEG signals using multi-domain feature extraction and nonlinear analysis
Epileptic seizure detection is commonly implemented by expert clinicians with visual
observation of electroencephalography (EEG) signals, which tends to be time consuming …
observation of electroencephalography (EEG) signals, which tends to be time consuming …
Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions
R Sharma, RB Pachori - Expert Systems with Applications, 2015 - Elsevier
Epileptic seizure is the most common disorder of human brain, which is generally detected
from electroencephalogram (EEG) signals. In this paper, we have proposed the new …
from electroencephalogram (EEG) signals. In this paper, we have proposed the new …
Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions
RB Pachori, S Patidar - Computer methods and programs in biomedicine, 2014 - Elsevier
Epilepsy is a neurological disorder which is characterized by transient and unexpected
electrical disturbance of the brain. The electroencephalogram (EEG) is a commonly used …
electrical disturbance of the brain. The electroencephalogram (EEG) is a commonly used …
Epileptic seizure detection in EEG using mutual information-based best individual feature selection
Epilepsy is a group of neurological disorders that affect normal brain activities and human
behavior. Electroencephalogram based automatic epileptic seizure detection has significant …
behavior. Electroencephalogram based automatic epileptic seizure detection has significant …
Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions
Rolling bearings are important components in mechanical, civil, and aerospace
engineering. The practical working conditions of rolling bearings are complex; hence, fault …
engineering. The practical working conditions of rolling bearings are complex; hence, fault …
Ellipse area calculations and their applicability in posturography
P Schubert, M Kirchner - Gait & Posture, 2014 - Elsevier
The quantification of postural sway is considered to be an essential part of posturography
and is important for research and clinical utility. A widely used method to calculate the …
and is important for research and clinical utility. A widely used method to calculate the …
Automated classification of lung sound signals based on empirical mode decomposition
SI Khan, RB Pachori - Expert Systems with Applications, 2021 - Elsevier
Chronic obstructive pulmonary disease (COPD) is a chronic non-reversible lung disease.
Other acute respiratory illness due to infections are termed as non-chronic. In general, the …
Other acute respiratory illness due to infections are termed as non-chronic. In general, the …
[HTML][HTML] The influence of anthropometric factors on postural balance: the relationship between body composition and posturographic measurements in young adults
AC Alonso, NMS Luna, L Mochizuki, F Barbieri… - Clinics, 2012 - Elsevier
OBJECTIVE: The aim of the present study was to evaluate the influence of anthropometric
characteristics and gender on postural balance in adults. One hundred individuals were …
characteristics and gender on postural balance in adults. One hundred individuals were …
Epileptic seizure detection based on time-frequency images of EEG signals using Gaussian mixture model and gray level co-occurrence matrix features
The electroencephalogram (EEG) signal analysis is a valuable tool in the evaluation of
neurological disorders, which is commonly used for the diagnosis of epileptic seizures. This …
neurological disorders, which is commonly used for the diagnosis of epileptic seizures. This …
Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features
The growing prevalence and high mortality rate due to valvular heart diseases (VHD) are
concerned. Therefore, its accurate, rapid, and early diagnosis is important. This study …
concerned. Therefore, its accurate, rapid, and early diagnosis is important. This study …