Cargando…
A Modified LSTM Framework for Analyzing COVID-19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals
COVID-19, a WHO-declared public health emergency of worldwide concern, is quickly spreading over the world, posing a physical and mental health hazard. The COVID-19 has resulted in one of the world's most significant worldwide lockdowns, affecting human mental health. In this research work, a m...
Autores principales: | Sakalle, Aditi, Tomar, Pradeep, Bhardwaj, Harshit, Alim, Md. Abdul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915925/ https://www.ncbi.nlm.nih.gov/pubmed/35281542 http://dx.doi.org/10.1155/2022/8412430 |
Ejemplares similares
-
EEG-Based Personality Prediction Using Fast Fourier Transform and DeepLSTM Model
por: Bhardwaj, Harshit, et al.
Publicado: (2021) -
Genetic Programming-Based Feature Selection for Emotion Classification Using EEG Signal
por: Sakalle, Aditi, et al.
Publicado: (2022) -
Personality Prediction with Hybrid Genetic Programming using Portable EEG Device
por: Bhardwaj, Harshit, et al.
Publicado: (2022) -
Retracted: A Modified LSTM Framework for Analyzing COVID-19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals
por: Healthcare Engineering, Journal of
Publicado: (2023) -
Tree-Based and Machine Learning Algorithm Analysis for Breast Cancer Classification
por: Bhardwaj, Arpit, et al.
Publicado: (2022)