A review on machine learning for EEG signal processing in bioengineering
MP Hosseini, A Hosseini, K Ahi - IEEE reviews in biomedical …, 2020 - ieeexplore.ieee.org
Electroencephalography (EEG) has been a staple method for identifying certain health
conditions in patients since its discovery. Due to the many different types of classifiers …
conditions in patients since its discovery. Due to the many different types of classifiers …
FPGA-based real-time epileptic seizure classification using Artificial Neural Network
Epilepsy is a neurological disorder characterised by unusual brain activity widely known as
seizure affecting 4-7% of the world's population. The diagnosis of this disorder is currently …
seizure affecting 4-7% of the world's population. The diagnosis of this disorder is currently …
Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform
Epilepsy is a widely spread neurological disorder caused due to the abnormal excessive
neural activity which can be diagnosed by inspecting the electroencephalography (EEG) …
neural activity which can be diagnosed by inspecting the electroencephalography (EEG) …
Towards efficient implementation of MLP-ANN classifier on the FPGA-based embedded system
R Sarić, N Beganović, D Jokić, E Čustović - IFAC-PapersOnLine, 2022 - Elsevier
Epilepsy is a widely known neurological disease, causing atypical brain activity such as
seizures. Apparently, it is critical to analyse possible triggers as well as establish appropriate …
seizures. Apparently, it is critical to analyse possible triggers as well as establish appropriate …
Contemporary machine learning techniques for brain signal processing-a systematic review
A Arora, A Sharma - Advances in Networks, Intelligence and …, 2024 - taylorfrancis.com
Temporal filters are used to preprocess brain signalsto choose the appropriate
Electroencephalography (EEG) sub-frequency bands holding the relevant brain signals …
Electroencephalography (EEG) sub-frequency bands holding the relevant brain signals …
[PDF][PDF] Deep Learning to Classify Pulmonary Infectious Diseases
RE Gonzalez Landaeta, DL Flores… - Instituto de Ingeniería …, 2024 - cathi.uacj.mx
Nowadays, in a very huge number of engineering applications one can infer the use of
machine learning methods. From the sensing of data, one can infer the necessity of signal …
machine learning methods. From the sensing of data, one can infer the necessity of signal …
Exploración de patrones de conectividad de fase fuente/sumidero para el estudio del procesamiento del lenguaje a través de la causalidad inter-canal en señales de …
I Rodríguez Rodríguez - 2023 - repositorio.upct.es
[SPA] Esta investigación titulada" Exploración de Patrones de Conectividad de Fase
Fuente/Sumidero para el Estudio del Procesamiento del Lenguaje a través de la …
Fuente/Sumidero para el Estudio del Procesamiento del Lenguaje a través de la …