Clinical Application of Implantable Brain Machine Interfaces
- Resource Type
- Conference
- Authors
- Hirata, Masayuki; Kameda, Seiji; Palmer, Jason; Ando, Hiroshi; Suzuki, Takafumi; Jiang, Yinlai; Yokoi, Hiroshi; Koike, Yasuharu
- Source
- 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) SMC Systems, Man, and Cybernetics (SMC), 2018 IEEE International Conference on. :119-122 Oct, 2018
- Subject
- Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Decoding
Trajectory
Implants
Robots
Wireless communication
Brain-computer interfaces
Informatics
brain machine interface
implantable device
electrocorticogram
clinical trial
high gamma activity
- Language
- ISSN
- 2577-1655
Implantable brain machine interfaces (BMI) enable severely disabled people high-performance real-time robot control and communication, utilizing high-quality intracranial neural signals. Electrocorticograms (ECoG) are useful for implantable BMIs because of not only their zero time-lag property but their high spatiotemporal resolution with long term stability also. Fully implantable devices for ECoG recording offer long-term home-use with 24/7 supports. This will help not only patients with restoring motor and communication control but also help their caregivers with reducing burdens of caregiving day and night. Until now, we established ECoG-based robot control and communication. High gamma activity (80-150 Hz) was a good decoding feature for ECoG-based real time decoding and control. Independent component analyses effectively extract neural information with dimensional reduction and contribute to improving decoding accuracy. Also, we are developing a 128-channel fully-implantable BMI device (WHERBS) for long-term home-use with 24/7 supports. We completed GLP tests and non-clinical long-term implantation. The next step is a clinical trial to confirm safety and efficacy of the implantable BMI.