Title :
A 5
W/Channel Spectral Analysis IC for Chronic Bidirectional Brain–Machine Interfaces
Author :
Avestruz, Al-Thaddeus ; Santa, Wesley ; Carlson, Dave ; Jensen, Randy ; Stanslaski, Scott ; Helfenstine, Alan ; Denison, Tim
Author_Institution :
Medtronic Neuromodulation Technol., Columbia Heights, MN
Abstract :
This paper describes an amplification and spectral processing IC for extracting key bioelectrical signals, or ldquobiomarkersrdquo, which are expressed in the brain´s field potentials. The intent is to explore using these biomarkers to drive prosthetic actuators or titrate therapy devices such as a deep-brain neurostimulator. The prototype IC uses 5 muW/channel to resolve signals on the order of 1 muVrms. The four channels on the device provide independent spectral analysis from DC to 1 kHz, with variable bandwidth and power filtering characteristics. The noise floor and flexible spectral processing support a broad range of potential applications including sleep staging, Parkinson´s disease, detection of movement intention for neuroprosthesis, and detection of high frequency ldquofast ripplesrdquo for exploring seizure prediction. To fully demonstrate the IC´s functionality, we include results from a prototype ldquoclosed-looprdquo neurostimulator implementing adaptive titration of therapy based on measured field potential activity.
Keywords :
bioelectric potentials; brain; brain-computer interfaces; diseases; handicapped aids; neurophysiology; patient treatment; prosthetics; sleep; Parkinson´s disease; bioelectrical signals; biomarkers; brain field potentials; channel spectral analysis IC; chronic bidirectional brain-machine interfaces; closed-loop neurostimulator; deep-brain neurostimulator; neuroprosthesis; power 5 muW; power filtering property; prosthetic actuators; sleep staging; titrate therapy devices; variable bandwidth property; Actuators; Bioelectric phenomena; Biomarkers; Electric potential; Medical treatment; Prosthetics; Prototypes; Signal processing; Signal resolution; Spectral analysis; Brain–machine interface; chopper stabilization; neural amplifier; neuroprosthesis;
Journal_Title :
Solid-State Circuits, IEEE Journal of
DOI :
10.1109/JSSC.2008.2006460