Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders -
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Présentation Biomedical Signals Based Computer - Aided Diagnosis For Neurological Disorders Format Broché
- Livre Beaux arts
Résumé :
1. Abnormal EEG detection using time-frequency images and convolutional neural network..- 2. Physical action categorization pertaining to certain neurological disorders using machine learning based signal analysis.- 3. A comparative study on EEG features for neonatal seizure detection..- 4. Hilbert huang transform (HHT) analysis of heart rate variability (HRV) in recognition of emotion in children with autism spectrum disorder (ASD).- 5. Detection of tonic-clonic seizures using scalp EEG of spectral moments..- 6. Investigation of the brain activation pattern of stroke patients and healthy individuals during happiness and sadness.- 7. A novel parametric non-stationary signal model for EEG signals and its application in epileptic seizure detection.- 8. Biomedical signal analysis using entropy measures: A case study of motor imaginary BCI in end-users with disability.- 9. Automatic detection of epilepsy using CNN-GRU hybrid model.- 10. Catalogic systematic literature review of hardware-accelerated neurodiagnostic.- 11. Wearable Real-time Epileptic Seizure Detection and Warning System.- 12. Analysis of Intramuscular Coherence of Lower Limb Muscles Activities using Magnitude Squared Coherence....
Sommaire: 1. Abnormal EEG detection using time-frequency images and convolutional neural network..- 2. Physical action categorization pertaining to certain neurological disorders using machine learning based signal analysis.- 3. A comparative study on EEG features for neonatal seizure detection..- 4. Hilbert huang transform (HHT) analysis of heart rate variability (HRV) in recognition of emotion in children with autism spectrum disorder (ASD).- 5. Detection of tonic-clonic seizures using scalp EEG of spectral moments..- 6. Investigation of the brain activation pattern of stroke patients and healthy individuals during happiness and sadness.- 7. A novel parametric non-stationary signal model for EEG signals and its application in epileptic seizure detection.- 8. Biomedical signal analysis using entropy measures: A case study of motor imaginary BCI in end-users with disability.- 9. Automatic detection of epilepsy using CNN-GRU hybrid model.- 10. Catalogic systematic literature review of hardware-accelerated neurodiagnostic.- 11. Wearable Real-time Epileptic Seizure Detection and Warning System.- 12. Analysis of Intramuscular Coherence of Lower Limb Muscles Activities using Magnitude Squared Coherence.
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