Thesis icon

Thesis

Harnessing machine learning to decode LFPs for applications in adaptive deep brain stimulation

Abstract:

Deep brain stimulation (DBS) has advanced the treatment of movement disorders, yet its conventional, open-loop paradigm can struggle to adapt to the fluctuating clinical and behavioural states that define conditions such as Essential Tremor, Parkinson's disease, and Tourette syndrome. This thesis refines and extends adaptive DBS (aDBS) strategies by integrating machine learning (ML) algorithms and neural signal processing, with the aim of contributing towards providing more precise, individua...

Expand abstract

Actions

  • Cite

  • Print

Access Document

Files:

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Supervisor
ORCID:
0000-0001-8038-3029
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Supervisor

More from this funder
Funder identifier:
https://ror.org/03x94j517

DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

Language:
English
Deposit date:
2026-07-29
ARK identifier:

Terms of use

Views and Downloads





If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP