Deep Learning for Automated Tic Detection and Prediction in Tourette Syndrome Using Electromyography and Video
- DOI
- 10.21203/rs.3.rs-10832475/v1
- Published
- 2026-09-20
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10832475/v1,
title = {Deep Learning for Automated Tic Detection and Prediction in Tourette Syndrome Using Electromyography and Video},
author = {Grace Lowor and Jiaqing Zhang and Julieth Gomez and Jackson Cagle and Christopher R. Butson and Kelly Foote and Michael S. Okun and Parisa Rashidi and Aysegul Gunduz},
year = {2026},
doi = {10.21203/rs.3.rs-10832475/v1},
url = {https://doi.org/10.21203/rs.3.rs-10832475/v1}
}RIS
TY - JOUR TI - Deep Learning for Automated Tic Detection and Prediction in Tourette Syndrome Using Electromyography and Video AU - Grace Lowor AU - Jiaqing Zhang AU - Julieth Gomez AU - Jackson Cagle AU - Christopher R. Butson AU - Kelly Foote AU - Michael S. Okun AU - Parisa Rashidi AU - Aysegul Gunduz PY - 2026 DO - 10.21203/rs.3.rs-10832475/v1 UR - https://doi.org/10.21203/rs.3.rs-10832475/v1 ER -
APA
Lowor, G., Zhang, J., Gomez, J., Cagle, J., Butson, C. R., Foote, K., Okun, M. S., Rashidi, P., & Gunduz, A. (2026). Deep Learning for Automated Tic Detection and Prediction in Tourette Syndrome Using Electromyography and Video. https://doi.org/10.21203/rs.3.rs-10832475/v1
Source records
- crossref · retrieved 2026-09-26T02:12:03.452Z