Title :
Validation of chronic implantable neural sensing technology using electrocorticographic (ECoG) based brain machine interfaces
Author :
Afshar, Pedram ; Moran, Dan ; Rouse, A. ; Xuan Wei ; Denison, T.
Author_Institution :
Medtronic Neuromodulation Technol. Group, Minneapolis, MN, USA
fDate :
April 27 2011-May 1 2011
Abstract :
This paper describes the use of an electrocorticographic (ECoG) based brain machine interface (BMI) as a validation tool for chronic, embedded neural sensing device. This device is designed for basic science and clinical research in neurological diseases. Using the device in a BMI application allows the comparison of quantifiable validation metrics against off-the-shelf sensing methods, and its signals represent the types of signals expected in the clinical disease state.
Keywords :
bioelectric phenomena; biomedical equipment; brain-computer interfaces; diseases; electric sensing devices; medical signal processing; neurophysiology; brain machine interfaces; chronic implantable neural sensing; clinical disease state; electrocorticography; neurological diseases; off-the-shelf sensing methods; Diseases; Epilepsy; Medical treatment; Performance evaluation; Protocols; Sensors; Time domain analysis;
Conference_Titel :
Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-4140-2
DOI :
10.1109/NER.2011.5910645
