Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain
A widespread brain disorder of present days is depression which influences 264 million of
the world's population. Depression may cause diverse undesirable consequences, including …
the world's population. Depression may cause diverse undesirable consequences, including …
Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part II: Patellofemoral Joint
R Karpiński, P Krakowski, J Jonak, A Machrowska… - Sensors, 2022 - mdpi.com
Cartilage loss due to osteoarthritis (OA) in the patellofemoral joint provokes pain, stiffness,
and restriction of joint motion, which strongly reduces quality of life. Early diagnosis is …
and restriction of joint motion, which strongly reduces quality of life. Early diagnosis is …
[PDF][PDF] Depression Detection Based on Geometrical Features Extracted from SODP Shape of EEG Signals and Binary PSO.
Accepted: 13 December 2020 Late detection of depression is having detrimental
consequences including suicide thus there is a serious need for an accurate computer …
consequences including suicide thus there is a serious need for an accurate computer …
Recognizing seizure using Poincaré plot of EEG signals and graphical features in DWT domain
Electroencephalography (EEG) signals are considered one of the oldest techniques for
detecting disorders in medical signal processing. However, brain complexity and the non …
detecting disorders in medical signal processing. However, brain complexity and the non …
Exploiting feature selection and neural network techniques for identification of focal and nonfocal EEG signals in TQWT domain
For drug resistance patients, removal of a portion of the brain as a cause of epileptic
seizures is a surgical remedy. However, before surgery, the detailed analysis of the epilepsy …
seizures is a surgical remedy. However, before surgery, the detailed analysis of the epilepsy …
Detection of focal and non-focal EEG signals using non-linear features derived from empirical wavelet transform rhythms
H Akbari, MT Sadiq - Physical and Engineering Sciences in Medicine, 2021 - Springer
Surgery is recommended for epilepsy diagnosis in cases where patients do not respond well
to anti-epilepsy medications. Successful surgery is essentially dependent on the area …
to anti-epilepsy medications. Successful surgery is essentially dependent on the area …
Classification of focal and non-focal EEG signals using optimal geometrical features derived from a second-order difference plot of FBSE-EWT rhythms
Background/introduction: Manual detection and localization of the brain's epileptogenic
areas using electroencephalogram (EEG) signals is time-intensive and error-prone. An …
areas using electroencephalogram (EEG) signals is time-intensive and error-prone. An …
An intelligent identification method of interlayers in deep clastic rock–An example of Donghe Sandstone in Hade Oilfield, Tarim Basin
J Zhao, Y Fan, X Ge, W Wang, Z Zhu, M Wang… - Marine and Petroleum …, 2023 - Elsevier
The identification of interlayer types is the key to improve the geological model to study the
characteristics of oil and water distribution. The Donghe Sandstone in Hade Oilfield is used …
characteristics of oil and water distribution. The Donghe Sandstone in Hade Oilfield is used …
[PDF][PDF] Fast and accurate classification F and NF EEG by using SODP and EWT
Removing the brain part, as the epilepsy source attack, is a surgery solution for those
patients who have drug resistant epilepsy. So, the epilepsy localization area is an essential …
patients who have drug resistant epilepsy. So, the epilepsy localization area is an essential …
Application of EEMD-HHT method on EEG analysis for speech evoked emotion recognition
J Chen, H Li, L Ma, H Bo, X Gao - 2020 IEEE Conference on …, 2020 - ieeexplore.ieee.org
Electroencephalograph (EEG) is widely used to study human brain activities. However, the
interpretation of EEG signals is still a challenging computational task. Emerging evidence …
interpretation of EEG signals is still a challenging computational task. Emerging evidence …