All Stories

  1. Progress in Brain Computer Interface: Challenges and Opportunities
  2. Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review
  3. P2843Impact of bipolar vector orientation and inter-electrode spacing on electrograms during human atrial fibrillation
  4. Wavelet Entropy-Based Inter-subject Associative Cortical Source Localization for Sensorimotor BCI
  5. Beamforming-inspired Spatial Filtering Technique for Intracardiac Electrograms
  6. Evidence of Variabilities in EEG Dynamics During Motor Imagery-Based Multiclass Brain–Computer Interface
  7. cMEM-based motor imagery induced cortical source localization for computationally efficient brain computer interface
  8. Suicidal Ideation Is Associated with Altered Variability of Fingertip Photo-Plethysmogram Signal in Depressed Patients
  9. Enhanced inter-subject brain computer interface with associative sensorimotor oscillations
  10. Application of wavelet-based maximum entropy on the mean in channel optimization for BCI
  11. Prototyping Arduino and Android based m-health solution for diabetes mellitus patient
  12. Wavelet coherence based channel selection for classifying single trial motor imagery
  13. Predicting depressed patients with suicidal ideation from ECG recordings
  14. Identifying depressed patients with and without suicidal ideation by finger photo-plethysmography
  15. Unifying sensorimotor dynamics in multiclass brain computer interface
  16. Reduced variability in pulse wave velocity in depressed patients with suicidal ideation
  17. Efficient event related oscillatory pattern classification for EEG based BCI utilizing spatial brain dynamics