A novel neural network approach to the real-time detection and classification of temporospatial EEG patterns accompanying performance of motor imagery (imaginary …
The research of neural network is closely related to the research of human vision. Relying on the latest research on the human visual system, further improving the performance of …
B Shilpa, SG Hiremath, G Thippeswamy - International Conference on …, 2017 - Springer
Health is very important to each one and for the early discovery of different diseases to get timely treatment Wireless Body Sensor Networks (WBSNs) a subgroup of wireless sensor …
A Dalloo, S Dalloo - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
Electrocardiogram (ECG) recording is prone to complications, on analysis by physicians, due to noise and artifacts, thus creating ambiguity leading to possible error of diagnosis …
This thesis relies on the basic idea that the most recurrent data patterns can be identified within a biomedical signal and exploited to generate, at runtime, a codebook based on the …