TY - GEN
T1 - Live demonstration
T2 - 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017
AU - Kremen, Vaclav
AU - Brinkmann, Benjamin H.
AU - Kim, Inyong
AU - Chang, Su Youne
AU - Van Gompel, Jamie
AU - Herron, Jeffrey A.
AU - Baldassano, Steven
AU - Patterson, Edward E.
AU - Litt, Brian
AU - Denison, Timothy
AU - Worrell, Gregory A.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The optimal epilepsy management device requires: Automated seizure detection, accurate automated electronic seizure diaries, seizure forecasting, active brain probing to track brain state, and automated brain stimulation therapy adjustment that can respond in a control law approach to seizure probability to prevent seizures. In this session, we want to describe and demonstrate an epilepsy management and therapy platform using Medtronic's investigational Activa RC+S Research System implanted in living canines with epilepsy. The investigational Activa RC+S provides chronic nervous system sensing and analytics using embedded scientific instrumentation and continuous iEEG telemetry, which can be communicated to a handheld device, providing a unique opportunity for exploring and managing epileptic neural networks.
AB - The optimal epilepsy management device requires: Automated seizure detection, accurate automated electronic seizure diaries, seizure forecasting, active brain probing to track brain state, and automated brain stimulation therapy adjustment that can respond in a control law approach to seizure probability to prevent seizures. In this session, we want to describe and demonstrate an epilepsy management and therapy platform using Medtronic's investigational Activa RC+S Research System implanted in living canines with epilepsy. The investigational Activa RC+S provides chronic nervous system sensing and analytics using embedded scientific instrumentation and continuous iEEG telemetry, which can be communicated to a handheld device, providing a unique opportunity for exploring and managing epileptic neural networks.
UR - http://www.scopus.com/inward/record.url?scp=85049986491&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049986491&partnerID=8YFLogxK
U2 - 10.1109/BIOCAS.2017.8325092
DO - 10.1109/BIOCAS.2017.8325092
M3 - Conference contribution
AN - SCOPUS:85049986491
T3 - 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
SP - 1
BT - 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 October 2017 through 21 October 2017
ER -