A Hybrid Signal Processing and Deep Learning Framework for Parkinson’s Disease Classification and Determination of ON and OFF Medication Condition
- DOI
- 10.2174/0115672026485254260821045826
- Published
- 2026-08-31
- Container
- Current Neurovascular Research
- Publisher
- Bentham Science Publishers Ltd.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2174/0115672026485254260821045826,
title = {A Hybrid Signal Processing and Deep Learning Framework for Parkinson’s Disease Classification and Determination of ON and OFF Medication Condition},
author = {Fatma Latifoğlu and Fırat Orhanbulucu and Sultan Penekli and Murat Gültekin and Recep Baydemir and Muhammad E. H. Chowdhury},
year = {2026},
journal = {Current Neurovascular Research},
doi = {10.2174/0115672026485254260821045826},
url = {https://doi.org/10.2174/0115672026485254260821045826}
}RIS
TY - JOUR TI - A Hybrid Signal Processing and Deep Learning Framework for Parkinson’s Disease Classification and Determination of ON and OFF Medication Condition AU - Fatma Latifoğlu AU - Fırat Orhanbulucu AU - Sultan Penekli AU - Murat Gültekin AU - Recep Baydemir AU - Muhammad E. H. Chowdhury PY - 2026 JO - Current Neurovascular Research DO - 10.2174/0115672026485254260821045826 UR - https://doi.org/10.2174/0115672026485254260821045826 ER -
APA
Latifoğlu, F., Orhanbulucu, F., Penekli, S., Gültekin, M., Baydemir, R., & Chowdhury, M. E. H. (2026). A Hybrid Signal Processing and Deep Learning Framework for Parkinson’s Disease Classification and Determination of ON and OFF Medication Condition. Current Neurovascular Research. https://doi.org/10.2174/0115672026485254260821045826
Source records
- crossref · retrieved 2026-09-26T18:25:52.541Z