Brain-Computer Interface

Index

• Accurate division, 84
• Activity map, 240–241
• Alzheimer, 77–79, 82, 83, 85, 87–88, 92
• Anemia, 81
• Applications of BCI,
  • communication, 14
  • detection and diagnosis, 15
  • education, 15
  • gaming and entertainment, 17
  • healthcare, 14
  • marketing and advertising, 16
  • movement control and locomotion, 14
  • prevention, 15
  • rehabilitation, 15
  • security and authentication, 16
  • smart environment, 16
• Artificial intelligence, 121
• Artificial neural networks, 117
• Auditory attention detection (AAD), 91
• Augmented reality (AR), 102
• AutoEncoder (SAAE), 40

• Band power, 240–241
• Bayesian networks, 36
• BCI, 180
• BCI application, 77–82, 84–86, 89–91, 93
• BCI structure, 280
• BCI technology, 3–5
• Better image availability,
  • big data rfMRI challenges, 133–134
  • large data analysis in neuroimaging, 131–132
  • large rfMRI data software packages, 134–136
• Bimodal deep AutoEncoder (BDAE), 40
• BI-SNN technique, 85
• Blood pressure, 81, 83, 92
• Blood sugar, 80, 83, 92
• Brain connectivity,
  • anatomical connectivity, 129–130
  • functional connectivity, 130
• Brain signals, 180
• Brain surgeries, 173
• Brain–computer interface (BCI), 25–29, 77, 79, 83–84, 232–233
• Brain-inspired neural network, 85
• Brain-machine interface (BMI), 102
• Brain-to-brain (B2B) communication systems, 89

• Cardiovascular, 92
• Cell dysfunction, 84
• Challenges faced during implementation of BCI,
  • ethical and socioeconomic challenges, 20–21
  • psychophysiological and neurological challenges, 20
  • technical challenges, 18–20
  • usability challenges, 17–18
• Classification, 11 ...