Published May 10, 2023
| Version v1.0.0-beta.1
Software
Open
DELMEP: A deep learning algorithm for automated annotation of motor evoked potential latencies
Creators
- 1. Technische Universität Wien
- 2. Aalto University
- 3. École Polytechnique Fédérale de Lausanne
Description
The first release of the DELMEP algorithm for automated MEP latency annotation using a deep learning algorithm.
Files
connect2brain/delmep-v1.0.0-beta.1.zip
Files
(16.7 kB)
| Name | Size | Download all |
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md5:7b751a061d458ddabc273a8b8299dc3c
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Additional details
Related works
- Is supplement to
- https://github.com/connect2brain/delmep/tree/v1.0.0-beta.1 (URL)
Funding
- Measuring, Modeling, and Modulating the Brain 255347
- Academy of Finland
- Multi-locus transcranial magnetic stimulation 306845
- Academy of Finland
- ConnectToBrain – Connecting to the Networks of the Human Brain 810377
- European Commission
- Development of TMS-EEG instrumentation and studies of the effective connectivity in the brain 265680
- Academy of Finland
- Multi-locus transcranial magnetic stimulation 294625
- Academy of Finland