ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU148870" target="_blank" >RIV/00216305:26230/23:PU148870 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10137079" target="_blank" >https://ieeexplore.ieee.org/document/10137079</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/DATE56975.2023.10137079" target="_blank" >10.23919/DATE56975.2023.10137079</a>
Alternative languages
Result language
angličtina
Original language name
ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers
Original language description
Levodopa, a drug used to treat symptoms of Parkinson's disease, is connected to side effects known as Levodopa-induced dyskinesia (LID). LID is difficult to classify during a physician's visit. A wearable device allowing long-term and continuous classification would significantly help with dosage adjustments. This paper deals with an automated design of energy-efficient hardware accelerators for such LID classifiers. The proposed accelerator consists of a feature extractor and a classifier co-designed using genetic programming. Improvements are achieved by introducing a variable bit width for arithmetic operators, eliminating redundant registers, and using precise energy consumption estimation for Pareto front creation. Evolved solutions reduce energy consumption while maintaining classification accuracy comparable to the state of the art.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA21-13001S" target="_blank" >GA21-13001S: Automated design of hardware accelerators for resource-aware machine learning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
ISBN
978-3-9819263-7-8
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
1-2
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Antwerp
Event location
Antwerp
Event date
Apr 17, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001027444200139