Cargando…

Modified Support Vector Machine for Detecting Stress Level Using EEG Signals

Stress is categorized as a condition of mental strain or pressure approaches because of upsetting or requesting conditions. There are various sources of stress initiation. Researchers consider human cerebrum as the primary wellspring of stress. To study how each individual encounters stress in diffe...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gupta, Richa, Alam, M. Afshar, Agarwal, Parul
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416233/ https://www.ncbi.nlm.nih.gov/pubmed/32802030 http://dx.doi.org/10.1155/2020/8860841

Ejemplares similares

EEG-based neonatal seizure detection with Support Vector Machines
por: Temko, A., et al.
Publicado: (2011)

Sleep Quality Detection Based on EEG Signals Using Transfer Support Vector Machine Algorithm
por: Wen, Wu
Publicado: (2021)

Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine
por: Li, Xiaoou, et al.
Publicado: (2014)

Using Support Vector Machine on EEG for Advertisement Impact Assessment
por: Wei, Zhen, et al.
Publicado: (2018)

Deep Neural Network for EEG Signal-Based Subject-Independent Imaginary Mental Task Classification
por: Siddiqui, Farheen, et al.
Publicado: (2023)

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization
por: Ma, Yuliang, et al.
Publicado: (2016)

Fast Sleep Stage Classification Using Cascaded Support Vector Machines with Single-Channel EEG Signals
por: Li, Dezhao, et al.
Publicado: (2022)

EEG Signal Feature Selection Algorithm and Support Vector Machine Model in Patient's Fatigue Recognition
por: Chitti, Sridevi, et al.
Publicado: (2021)

EEG Microstate Features as an Automatic Recognition Model of High-Density Epileptic EEG Using Support Vector Machine
por: Yang, Li, et al.
Publicado: (2022)

An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis
por: Al-Hadeethi, Hanan, et al.
Publicado: (2022)

An automated mammogram classification system using modified support vector machine
por: Kayode, Aderonke Anthonia, et al.
Publicado: (2019)

Diagnosis of Encephalopathy Based on Energies of EEG Subbands Using Discrete Wavelet Transform and Support Vector Machine
por: Jacob, Jisu Elsa, et al.
Publicado: (2018)

EEG signal analysis using classification techniques: Logistic regression, artificial neural networks, support vector machines, and convolutional neural networks
por: Guerrero, Maria Camila, et al.
Publicado: (2021)

An Interpretable Machine Learning Method for the Detection of Schizophrenia Using EEG Signals
por: Vázquez, Manuel A., et al.
Publicado: (2021)

Automatic Recognition of High-Density Epileptic EEG Using Support Vector Machine and Gradient-Boosting Decision Tree
por: He, Jiaxiu, et al.
Publicado: (2022)

Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine
por: Yi, Li, et al.
Publicado: (2023)

Support Vector Machines
por: Deng, Naiyang
Publicado: (2012)

Support vector machines
por: Steinwart, Ingo, et al.
Publicado: (2008)

Identification of Novel Noninvasive Diagnostics Biomarkers in the Parkinson's Diseases and Improving the Disease Classification Using Support Vector Machine
por: Moradi, Shadi, et al.
Publicado: (2022)

Mental Stress Classification Based on a Support Vector Machine and Naive Bayes Using Electrocardiogram Signals
por: Kang, Mingu, et al.
Publicado: (2021)

A Hybrid EEG-based Emotion Recognition Approach Using Wavelet Convolutional Neural Networks and Support Vector Machine
por: Bagherzadeh, Sara, et al.
Publicado: (2023)

Computational Detection of piRNA in Human Using Support Vector Machine
por: Seyeddokht, Atefeh, et al.
Publicado: (2016)

Machine Learning Approaches for MDD Detection and Emotion Decoding Using EEG Signals
por: Duan, Lijuan, et al.
Publicado: (2020)

Approximate entropy and support vector machines for electroencephalogram signal classification
por: Zhang, Zhen, et al.
Publicado: (2013)

Understanding support vector machines
por: Géron, Aurélien
Publicado: (2017)

Learning with Support Vector Machines
por: Campbell, Colin, et al.
Publicado: (2010)

Support vector machines applications
por: Ma, Yunqian, et al.
Publicado: (2014)

Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection
por: Tseng, Yi-Li, et al.
Publicado: (2016)

Microcontroller Implementation of Support Vector Machine for Detecting Blood Glucose Levels Using Breath Volatile Organic Compounds
por: Boubin, Matthew, et al.
Publicado: (2019)

Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine
por: Czabanski, Robert, et al.
Publicado: (2020)

Multiple-Kernel Support Vector Machine for Predicting Internet Gaming Disorder Using Multimodal Fusion of PET, EEG, and Clinical Features
por: Jeong, Boram, et al.
Publicado: (2022)

Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia
por: Reljin, Natasa, et al.
Publicado: (2018)

Detection of event-related potentials in individual subjects using support vector machines
por: Parvar, Hossein, et al.
Publicado: (2014)

Glaucoma Detection Using Support Vector Machine Method Based on Spectralis OCT
por: Wu, Chao-Wei, et al.
Publicado: (2022)

Anomaly detection for blueberry data using sparse autoencoder-support vector machine
por: Wei, Dianwen, et al.
Publicado: (2023)

Proposal of methodology for analysis of stress level based on EEG signals
por: Pomer-Escher, Alexandre, et al.
Publicado: (2014)

A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine
por: Wajeed, Mohammed Abdul, et al.
Publicado: (2023)

Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals
Publicado: (2019)

Detecting Succinylation sites from protein sequences using ensemble support vector machine
por: Ning, Qiao, et al.
Publicado: (2018)

Automatic hand phantom map generation and detection using decomposition support vector machines
por: Huang, Huaiqi, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_de5qlk9npl07m3v4tq99edm1dl