A Robust Bimodal Index Reflecting Relative Dynamics of EEG and HRV With Application in Monitoring Depth of Anesthesia
Supplemental information captured from HRV can provide deeper insight into nervous system function and consequently improve evaluation of brain function. Therefore, it […]
Low-Complexity Large MIMO Detection via Layered Belief Propagation in Beam Domain
In large multi-user multi-input multi-output systems the computational cost and circuit scale of base stations (BSs) are effectively reduced using two-stage signal […]
Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing
Physiological signals processing brings challenges including dimensionality (due to the number of channels), heterogeneity (due to the different range of values) and […]
A Correlation-Driven Mapping For Deep Learning application in detecting artifacts within the EEG
Objective: When developing approaches for automatic preprocessing of electroencephalogram (EEG) signals in non-isolated demanding environment such as intensive care unit (ICU) or […]
Detection of Appliance Utilization Patterns via Dimensionality Reduction
This paper focuses on the detection of utilization patterns in electricity residential consumption, which are closely related to the occupant characteristics (e.g. […]