EEG (Electroencephalography) in Technological Perspective

EEG (Electroencephalography) is a technique use to measure the brain’s electrical activities. By placing electrodes on the scalp, it detects and record brainwave patterns. EEG is commonly used in Medical Diagnostics (Detecting epilepsy, sleep disorder, and other brain neurological conditions.), Neuroscience Research (Brain activity studies relating to cognition, emotions and behavior.) and Brain-Computer Interfaces, BCI (Enabling communication and control through brain signals).

From a Technological perspective, EEG is used in Brain-Computer Interfaces (BCI), Human-computer interaction, and AI-driven cognitive monitoring. And here are some key details of these technologies

• Brain-Computer Interfaces (BCIs)
  • Allows direct communication between the brain and external devices
  • Gaming and Entertainment applications (VR,AR)
  • Assistive technologies (Controlling prosthetic limbs, wheelchairs, or computers via brain signals)
• Human-Computer Interaction
  • EEG is integrated into interfaces for hands-free control of smart devices.
  • Enhances accessibility for individuals with disabilities.
• AI-Driven Cognitive Monitoring
  • AI Models analyze EEG data to detect emotions, cognitive states, or mental workload.
  • used in applications like mental health monitoring, fatigue detection and adaptive learning systems.
• Healthcare and Wearable EEG Devices
  • Portable EEG headsets enable real-time brain activity tracking.
  • Used in epilepsy monitoring, sleep analysis, and mental health assessment.
• Neurofeedback and Cognitive Enhancement
  • EEG-based neurofeedback helps in improving focus, meditation, and mental health.
  • Used in biohacking (Smart watch, tDCS, Cryotherapy), and personalized brain training.