Conference item
Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices
- Abstract:
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 3.1MB, Terms of use)
-
- Publisher copy:
- 10.1109/SMC53654.2022.9945203
Authors
- Publisher:
- IEEE
- Host title:
- Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2022)
- Pages:
- 1730-1735
- Publication date:
- 2022-11-18
- Event title:
- IEEE International Conference on Systems, Man, and Cybernetics (SMC 2022)
- Event location:
- Prague, Czech Republic
- Event website:
- https://ieeesmc2022.org/
- Event start date:
- 2022-10-09
- Event end date:
- 2022-10-12
- DOI:
- EISSN:
-
2577-1655
- ISSN:
-
1062-922X
- ISBN:
- 9781665452588
- Language:
-
English
- Keywords:
- Pubs id:
-
1313732
- Local pid:
-
pubs:1313732
- Deposit date:
-
2023-05-18
- ARK identifier:
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2022
- Rights statement:
- © 2022 IEEE
- Notes:
- This paper was presented at the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2022), 9th-12th October 2022, Prague, Czech Republic. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/SMC53654.2022.9945203
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