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

技術優勢: Big data transferHigh throughput data transferFine and large scale resolution of neural activityWireless communication: it enables the patient/subject to move freelyWearable formatReal-time neural activity monitoring

技術應用: Investigating brain activity mappingMonitoring function during neurosurgeryDiagnosing brain abnormalitiesDeveloping new technology/treatment to prevent/cure brain-related illnessDevelop more advanced brain-machine interface systemsControl wearable prosthesesControl exoskeletons

詳細技術說明: User friendly wearable brain machine interface systemAbility to monitor and record large amount of neural activity to a remote terminal wirelessly

*Abstract: 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.

*Principal Investigation: Name: Mau-Chung Frank Chang
Department:

Name: Yen-Cheng Kuan
Department:

Name: Wentai Liu
Department:

Name: Yi Kai Lo
Department:

Name: Yan Zhao
Department:

其他

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

Additional Technologies by these Inventors

Tech ID/UC Case

27213/2014-495-0

Related Cases

2014-495-0

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