Wireless Wearable Big Data Brain Machine Interface (W2b2/Wwbb)

Summary

UCLA researchers have developed a wireless wearable big data brain machine interface. This technology provides a user-friendly brain machine interface system that can monitor/record a large amount of brain activities and transfer, wirelessly, the processed/raw data to a remote mobile unit.

Background

• A brain machine interface is a direct communication pathway between the brain and an external device
• It is often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions
• There is a need to improving the quality of neuronal recordings, achieve stable, long-term performance, and extend the brain-machine interface approach to a broad range of motor and sensory functions
• The brain-computer interface market is technology-driven and is continuously witnessing various technological advancements which has led to high functionality and miniaturization of devices
• The traditional use of EEG devices as a diagnostic tool has now expanded to a range of applications

Innovation

• User friendly wearable brain machine interface system
• Ability to monitor and record large amount of neural activity to a remote terminal wirelessly

Applications

• Investigating brain activity mapping
• Monitoring function during neurosurgery
• Diagnosing brain abnormalities
• Developing new technology/treatment to prevent/cure brain-related illness
• Develop more advanced brain-machine interface systems
• Control wearable prostheses
• Control exoskeletons

Advantages

• Big data transfer
• High throughput data transfer
• Fine and large scale resolution of neural activity
• Wireless communication: it enables the patient/subject to move freely
• Wearable format
• Real-time neural activity monitoring

Patent Status