TY - GEN
T1 - Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices
AU - Sladky, Vladimir
AU - Kremen, Vaclav
AU - McQuown, Kevin
AU - Mivalt, Filip
AU - Brinkmann, Benjamin H.
AU - Gompel, Jamie Van
AU - Miller, Kai J.
AU - Denison, Timothy
AU - Worrell, Gregory A.
N1 - Funding Information:
This research was supported by the National Institutes of Health: UH2/UH3 NS95495 and R01-NS09288203. European Regional Development Fund-Project ENOCH (No.CZ.02.1.01/0.0/0.0/16_019/0000868) Ministry of Education, Youth and Sports of the Czech Republic project no. LTA USA18056. Additional support was provided by Epilepsy Foundation of America Innovation Institute and Mayo Clinic Benefactors, Mayo Clinic Graduate School of Biomedical Sciences (IB, VM, and LW), and Czech Technical University, Prague, Czech Republic (VK), and grant FEKT-K-22-7649 realized within the project Quality Internal Grants of Brno University of Technology (KInG BUT), Reg. No. CZ.02.2.69/0.0/0.0/19_073/0016948 (FM), and The International Clinical Research Centre at St. Anne’s University Hospital (FNUSA-ICRC), Brno Czech Republic. This research benefited from the community expertise and resources made available by the NIH Open Mind Consortium NIH U24-NS113637 (https://openmind-consortium.github.io/) Figure 1. Implantable Neural Sensing & Stimulation System (INSS). DBS electrodes (1) are implanted in the brain (ANT – anterior nucleus of thalamus, HPC – hippocampus) and connected to the rechargeable implanted device (2) enabled for sensing and stimulation and bi-directional connectivity to distributed system (3) Epilepsy Patient Assist Device (EPAD) that is capable of recording patient inputs (seizures, medication, surveys) and audio/video recording. EPAD sends the data to a cloud coprocessor for advanced data processing and can close the loop to an implantableysstem2() toydnamicallydajsut parametersfotsiulamtion.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Recent development in implantable devices for electrical brain stimulation includes sensing and embedded computing capabilities that enable adaptive stimulation strategies. Applications include stimulation triggered by pathologic brain activity and endogenous rhythms, such as circadian rhythms. We developed and tested a system that integrates an electrical brain stimulation & sensing implantable device with embedded computing and uses a distributed system with commercial electronics, smartphone and smartwatch for patient annotations, extensive behavioral testing, and adaptive stimulation in subjects in their natural environments. The system enables precise time synchronization of the external components with the brain stimulating device and is coupled with automated analysis of continuous streaming electrophysiology synchronized with patient reports. The system leverages a real-time bi-directional interface between devices and patients with epilepsy living in their natural environment.
AB - Recent development in implantable devices for electrical brain stimulation includes sensing and embedded computing capabilities that enable adaptive stimulation strategies. Applications include stimulation triggered by pathologic brain activity and endogenous rhythms, such as circadian rhythms. We developed and tested a system that integrates an electrical brain stimulation & sensing implantable device with embedded computing and uses a distributed system with commercial electronics, smartphone and smartwatch for patient annotations, extensive behavioral testing, and adaptive stimulation in subjects in their natural environments. The system enables precise time synchronization of the external components with the brain stimulating device and is coupled with automated analysis of continuous streaming electrophysiology synchronized with patient reports. The system leverages a real-time bi-directional interface between devices and patients with epilepsy living in their natural environment.
KW - brain stimulation
KW - epilepsy
KW - human-machine interface
UR - http://www.scopus.com/inward/record.url?scp=85142692008&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142692008&partnerID=8YFLogxK
U2 - 10.1109/SMC53654.2022.9945203
DO - 10.1109/SMC53654.2022.9945203
M3 - Conference contribution
AN - SCOPUS:85142692008
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1730
EP - 1735
BT - 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
Y2 - 9 October 2022 through 12 October 2022
ER -