Real-world chronic recordings from implantable adaptive deep brain stimulation systems for Parkinson’s disease motor state classification
Hanan Awad Hassan Ali, Matteo Guidetti, Laura Caffi, Mattia Arlotti, Lorenzo Rossi, Chiara Palmisano, Alberto Priori, Francesco Brun, Ioannis Ugo Isaias, Sara Marceglia · 2026
Read Real-world chronic recordings from implantable adaptive deep brain stimulation systems for Parkinson’s disease motor state classification by Hanan Awad Hassan Ali, Matteo Guidetti, Laura Caffi, Mattia Arlotti, Lorenzo Rossi, Chiara Palmisano, Alberto Priori, Francesco Brun, Ioannis Ugo Isaias, Sara Marceglia (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13311122.txt.
Description
Hanan Awad Hassan Ali and colleagues classify motor states from implanted brain recorders in Parkinson disease in a 2026 study. Adaptive brain stimulation needs exact reads of ON, OFF, and sleep states. New implants record brain waves at home for weeks, yet home value was unproven, so sensor, diary, and brain data were fused.
A first test used three patients over about 30 days of records, then a wider set used thirteen patients. A neural network on time and frequency traits scored best, with strong marks on diary based labels in both sets. Wearable sensor labels scored lower but still well. Home brain records can support state aware care.
Catalog record
| CREATOR | Hanan Awad Hassan Ali, Matteo Guidetti, Laura Caffi, Mattia Arlotti, Lorenzo Rossi, Chiara Palmisano, Alberto Priori, Francesco Brun, Ioannis Ugo Isaias, Sara Marceglia |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 70423 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |