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