TY - GEN
T1 - Validation of chronic implantable neural sensing technology using electrocorticographic (ECoG) based brain machine interfaces
AU - Afshar, Pedram
AU - Moran, Daniel
AU - Rouse, Adam
AU - Wei, Xuan
AU - Denison, Tim
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/79960350218
U2 - 10.1109/NER.2011.5910645
DO - 10.1109/NER.2011.5910645
M3 - Conference contribution
AN - SCOPUS:79960350218
SN - 9781424441402
T3 - 2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
SP - 704
EP - 707
BT - 2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
T2 - 2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
Y2 - 27 April 2011 through 1 May 2011
ER -