An implantable Bi-directional brain-machine interface system for chronic neuroprosthesis research

Author

Stanslaski, Scott ; Cong, Peng ; Carlson, Dave ; Santa, Wes ; Jensen, Randy ; Molnar, Greg ; Marks, William J., Jr. ; Shafquat, Afsah ; Denison, Tim

Author_Institution

Medtronic Neuromodulation Technol., Minneapolis, MN, USA

fYear

2009

fDate

3-6 Sept. 2009

Firstpage

5494

Lastpage

5497

Abstract

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.

Keywords

biomedical electronics; biomedical telemetry; brain-computer interfaces; human computer interaction; neurophysiology; patient diagnosis; patient treatment; prosthetics; adaptive therapy; chronic neuroprosthesis research; electrical biomarkers; fundamental chronic research; implantable bidirectional brain-machine interface; neurological disorders; patient diagnosis; patient-specific algorithms; stimulation therapy; therapeutic stimulation; wireless telemetry; Biomedical Research; Brain; Chronic Disease; Electric Stimulation Therapy; Electrodes, Implanted; Electroencephalography; Equipment Design; Equipment Failure Analysis; Humans; Nervous System Diseases; Prostheses and Implants; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Telemetry; Therapy, Computer-Assisted; User-Computer Interface;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Conference_Location

Minneapolis, MN

ISSN

1557-170X

Print_ISBN

978-1-4244-3296-7

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2009.5334562

Filename

5334562