Application of modern machine learning techniques to the detection of micro-awakenings on a midsagittal jaw motion signal
Hockers, Pierre
Promotor(s) :
Sacré, Pierre
;
Geurts, Pierre
Date of defense : 22-Jan-2021 • Permalink : http://hdl.handle.net/2268.2/11239
Details
Title : | Application of modern machine learning techniques to the detection of micro-awakenings on a midsagittal jaw motion signal |
Translated title : | [fr] Application de méthodes d'apprentissage machine modernes à la détection de micro-éveils dans un signal de mouvement de mâchoires. |
Author : | Hockers, Pierre ![]() |
Date of defense : | 22-Jan-2021 |
Advisor(s) : | Sacré, Pierre ![]() Geurts, Pierre ![]() |
Committee's member(s) : | Louppe, Gilles ![]() Drion, Guillaume ![]() Beckers, Bernard |
Language : | English |
Number of pages : | 66 |
Keywords : | [en] AI [en] Machine Learning [en] Arousals [en] Sleep Disorders [en] Nomics |
Discipline(s) : | Engineering, computing & technology > Computer science |
Target public : | Researchers Professionals of domain Student General public |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en ingénieur civil en informatique, à finalité spécialisée en "intelligent systems" |
Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] Sleep Disorder Breathing are pathologies happening during sleep that can hurt its resting benefits and induce more damaging pathologies. The company Nomics has developed a sensor measuring the jaw motions which can be used to detect the micro awakenings that tend to happen after one of these SDBs. Modern machine learning methods will be explored to tackle this issue.
File(s)
Document(s)
Cite this master thesis
APA
Hockers, P. (2021). Application of modern machine learning techniques to the detection of micro-awakenings on a midsagittal jaw motion signal. (Unpublished master's thesis). Université de Liège, Liège, Belgique. Retrieved from https://matheo.uliege.be/handle/2268.2/11239
Chicago
All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.