Conference item
OMNI: Open Mind Neuromodulation Interface for accelerated research and discovery
- Abstract:
- Electrical neuromodulation is an approved therapy for a number of neurologic disease states, including Parkinson's disease (PD), Obsessive Compulsive Disorder, Essential Tremor, epilepsy and neuropathic pain. Neuromodulatory strategies are also being piloted for an increasing number of additional indications, including Major Depressive Disorder, Dystonia, and addiction. The development of implantable devices capable of both neural sensing and adaptive stimulation may prove essential for both improving therapeutic outcomes and expanding the neuromodulation indication space. Nevertheless, an increasingly fragmented device ecosystem forces researchers and therapy developers to customize and reinvent data visualization, clinician engagement, and device control software to support individual clinical studies. Each hardware platform provides a unique software interface to the implanted neurostimulator, making pre-existing code from prior studies difficult to leverage for future work - a hindrance that will expand as device technology diversifies. Here, we envision, detail, and demonstrate the use of a novel software architecture, OMNI, that accelerates neuromodulation research by providing a flexible, platform- and device-agnostic interface for clinical research and therapy development.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 446.3KB, Terms of use)
-
- Publisher copy:
- 10.1109/NER49283.2021.9441311
Authors
- Publisher:
- Institute of Electrical and Electronics Engineers
- Host title:
- 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)
- Pages:
- 985-988
- Publication date:
- 2021-06-02
- Acceptance date:
- 2021-03-01
- Event title:
- International IEEE/EMBS Conference on Neural Engineering, CNE
- Event location:
- Virtual event
- Event website:
- https://neuro.embs.org/2021/
- Event start date:
- 2021-05-04
- Event end date:
- 2021-05-06
- DOI:
- EISSN:
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1948-3554
- ISSN:
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1948-3546
- ISBN:
- 9781728143378
- Language:
-
English
- Keywords:
- Pubs id:
-
1182596
- Local pid:
-
pubs:1182596
- Deposit date:
-
2023-05-20
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2021
- Rights statement:
- Copyright 2021 IEEE
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from IEEE at https://doi.org/10.1109/NER49283.2021.9441311
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