Exploring the intrinsic features of EEG signals via empirical mode decomposition for depression recognition
J Shen, Y Zhang, H Liang, Z Zhao… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Depression is a severe psychiatric illness that causes emotional and cognitive impairment
and has a considerable impact on patients' thoughts, behaviors, feelings and well-being …
and has a considerable impact on patients' thoughts, behaviors, feelings and well-being …
An improved empirical mode decomposition of electroencephalogram signals for depression detection
J Shen, X Zhang, G Wang, Z Ding… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Depression is a mental disorder characterized by persistent low mood that affects a person's
thoughts, behavior, feelings, and sense of well-being. According to the World Health …
thoughts, behavior, feelings, and sense of well-being. According to the World Health …
A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices
Bitcoin as an asset class has received phenomenal investor attention and is considered to
have similar characteristics like gold. This study aims to analyze the price behavior of bitcoin …
have similar characteristics like gold. This study aims to analyze the price behavior of bitcoin …
Classification of EEG data using k-nearest neighbor approach for concealed information test
In this paper, an EEG based Concealed Information Test is developed. EEG is an acquisition
technique of brain signal from brain scalp using electrodes. The main task here is to classify …
technique of brain signal from brain scalp using electrodes. The main task here is to classify …
Analysis of functional brain network in MDD based on improved empirical mode decomposition with resting state EEG data
X Shao, S Sun, J Li, W Kong, J Zhu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
At present, most brain functional studies are based on traditional frequency bands to explore
the abnormal functional connections and topological organization of patients with …
the abnormal functional connections and topological organization of patients with …
Contactless fingerprint recognition based on global minutia topology and loose genetic algorithm
Contactless fingerprint recognition is highly promising and an essential component in the
automatic fingerprint identification system. However, due to the inherent characteristic of …
automatic fingerprint identification system. However, due to the inherent characteristic of …
An efficient EEG based deceit identification test using wavelet packet transform and linear discriminant analysis
Background Brain–computer interface (BCI) is a combination of hardware and software that
provides a non-muscular channel to send various messages and commands to the outside …
provides a non-muscular channel to send various messages and commands to the outside …
Analysis of weight-directed functional brain networks in the deception state based on EEG signal
S Wei, J Gao, Y Yang, N **ong, J Zhang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Although analyzing the brain's functional and structural network has revealed that numerous
brain networks are necessary to collaborate during deception, the directionality of these …
brain networks are necessary to collaborate during deception, the directionality of these …
Lie detection using extreme learning machine: A concealed information test based on short‐time Fourier transform and binary bat optimization using a novel fitness …
Lie detection is one of the major challenges that is being faced by the forensic sciences.
Identification of lie on the basis of a person's mental behavior is a tedious task. Brain …
Identification of lie on the basis of a person's mental behavior is a tedious task. Brain …
A novel method for detection of pancreatic Ductal Adenocarcinoma using explainable machine learning
Abstract Background and Objective Pancreatic Ductal Adenocarcinoma (PDAC) is a form of
pancreatic cancer that is one of the primary causes of cancer-related deaths globally, with …
pancreatic cancer that is one of the primary causes of cancer-related deaths globally, with …