Targets
- Epilepsy
- Emotions and Cognition
- Heart failures
- Body movements
- Alzheimer Disease
- Parkinson's Disease
Signals
- Electroencephalogram
- Heart rate variability
- Center-of-Pressure trajectories (CoP)
- Electromyogram (EMG)
- Neurovisualisation images
- Multimodal multidimensional biosignals
Methods
- uni-, bi- and multivariate analysis
- time-frequency, time-scale transforms
- adaptive decompositions
- component analysis
- non-linear analysis
- representation and analysis in high-dimensional spaces
- fuzzy logic
- coupling, synchronization and symmetry analysis
Applications
- Brain activity monitoring and analysis, epilepsy diagnostics, epileptic patterns' localization, epileptic seizures prediction and control. Study of interactions between brain hemispheres, patterning of functional zones in brain
- Heart rate variability analysis for evaluation of human functional state. Application of HRV analysis to epileptic seizures prediction, sleep quality analysis and for apnoea detection
- Characterization of coupling, interaction and synchronization between brain and heart activity for sleep staging and sleep quality assessment, epileptic pattern prediction
- Chaoticity and entropy of brain dynamics and heart rate with applications to diagnostics
- Early stage diagnosis of Alzheimer Disease using neurovisualization image classification
- Analysis of respiration parameters for life-threatening alarms detection and for Mechanical Lung Ventilation control
- Accelerometer data analysis for identification of movements
- Myocardium current density maps analysis for diagnostics of heart diseases
- Extraction of vital parameters from video (heart rate, respiration)
