Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders

Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders

Rajamanickam, Yuvaraj; Murugappan, M.

Springer Nature Switzerland AG

06/2022

289

Dura

Inglês

9783030978440

15 a 20 dias

617

Descrição não disponível.
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.
Neurological disorders;Biomedical signal processing;Deep learning;Computer-aided diagnosis;Automated diagnosis system;Classification method;Electroencephalogram (EEG);Artificial intelligence techniques;Machine Learning;Pattern recognition.