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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

DOI

10.1109/iembs.2009.5334562

Type

Journal article

Journal

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

Publication Date

01/2009

Volume

2009

Pages

5494 - 5497

Addresses

Medtronic Neuromodulation Technology, Minneapolis, MN 55432.

Keywords

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