Automatic Segmentation of Actigraphy Data Utilising Gradient Boosting Algorithm

As the popularity of decentralised clinical trials increases, there is a need to have a tool enabling remote assessment of sleep, while having good consistency with the golden standard, i.e. with polysomnography (PSG). This study aims to introduce a new approach to sleep assessment that utilises the...

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Bibliographic Details

Published in:	2021 44th International Conference on Telecommunications and Signal Processing (TSP) pp. 399 - 402
Main Authors:	Mikulec, Marek, Mekyska, Jiri, Sigmund, Jan, Galaz, Zoltan, Brabenec, Lubos, Moravkova, Ivona, Rektorova, Irena
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.07.2021
Subjects:	actigraphy Boosting Correlation Correlation coefficient machine learning polysomnography Sensitivity Signal processing Signal processing algorithms sleep sleep diary
Online Access:	Get full text
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