Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

An implantable bi-directional brain-machine interface (BMI) prototype is presented. With sensing, algorithm, wireless telemetry, and stimulation therapy capabilities, the system is designed for chronic studies exploring closed-loop and diagnostic opportunities for neuroprosthetics. In particular, we hope to enable fundamental chronic research into the physiology of neurological disorders, define key electrical biomarkers related to disease, and apply this learning to patient-specific algorithms for therapeutic stimulation and diagnostics. The ultimate goal is to provide practical neuroprosthetics with adaptive therapy for improved efficiency and efficacy.

Original publication




Journal article


Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Publication Date





5494 - 5497


Medtronic Neuromodulation Technology, Minneapolis, MN 55432.


Brain, Humans, Nervous System Diseases, Chronic Disease, Electroencephalography, Telemetry, Electric Stimulation Therapy, Therapy, Computer-Assisted, Sensitivity and Specificity, Reproducibility of Results, Equipment Design, Equipment Failure Analysis, Electrodes, Implanted, Prostheses and Implants, Biomedical Research, Signal Processing, Computer-Assisted, User-Computer Interface