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Optimized Electrical Stimulation to Block Seizures
Gonzalez Sulser, Alfredo
(Co-investigator)
Escudero Rodriguez, Javier
(Co-investigator)
School of Engineering
Edinburgh Neuroscience
Deanery of Biomedical Sciences
Centre for Discovery Brain Sciences
Overview
Fingerprint
Research output
(1)
Project Details
Description
High-performance computing time in the Oracle for Research cloud
Status
Finished
Effective start/end date
25/09/23
→
24/09/24
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Epileptic Seizure
Medicine and Dentistry
100%
Physiological Signal
Computer Science
80%
Collaborative Learning
Computer Science
80%
Event Detection
Computer Science
80%
Electrotherapy
Medicine and Dentistry
80%
Class Imbalance
Computer Science
60%
Time Series Analysis
Medicine and Dentistry
60%
Intensive Care Unit
Medicine and Dentistry
40%
Research output
Research output per year
2025
2025
2025
1
Article
Research output per year
Research output per year
CLaI: Collaborative Learning and Inference for low-resolution physiological signals – Validation in clinical event detection and prediction
Haule, H.,
Piper, I.
,
Jones, P.
,
Lo, T.-Y. M.
&
Escudero, J.
,
23 Apr 2025
, (E-pub ahead of print)
In:
IEEE Transactions on Biomedical Engineering.
p. 1-10
10 p.
, 10974669.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Physiological Signal
100%
Collaborative Learning
100%
Event Detection
100%
Class Imbalance
75%
Time Series Analysis
75%