Enhanced multimodal emotion recognition in healthcare analytics: A deep learning based model-level fusion approach
Deep learning techniques have drawn considerable interest in emotion recognition due to
recent technological developments in healthcare analytics. Automatic patient emotion …
recent technological developments in healthcare analytics. Automatic patient emotion …
Classification of epileptic EEG signals using sparse spectrum based empirical wavelet transform
A Nishad, A Upadhyay… - Electronics …, 2020 - Wiley Online Library
The unnatural activities of brain due to seizure events are analysed by
electroencephalogram (EEG) signals which are captured from the brain. In this work, a …
electroencephalogram (EEG) signals which are captured from the brain. In this work, a …
A robust feature adaptation approach against variation of muscle contraction forces for myoelectric pattern recognition-based gesture characterization
The lack of a robust scheme that can withstand the muscle contraction force variations
(MCFV) in pattern recognition (PR)-based myoelectric prosthesis is a major challenge that …
(MCFV) in pattern recognition (PR)-based myoelectric prosthesis is a major challenge that …
Continuous knee joint angle prediction with surface EMG
J Yang, Z Lu, S Chen, C Liu, H Zhao - Biomedical Signal Processing and …, 2024 - Elsevier
Surface Electromyography (sEMG) is an important source for obtaining human motion
information, the joint angle of the human body can be predicted. Therefore, this paper …
information, the joint angle of the human body can be predicted. Therefore, this paper …