Objective Evaluation of Sleep Disturbances in Older Adults with Cognitive Impairment Using a Bed Sensor System and Self-Organizing Map Analysis

Tomoko Kamimura, Risa Otsuka, Asaka Domoto, Hikofumi Suzuki, Mamino Tokita

2024

Abstract

Bed sensor systems are useful for measuring sleep states in cognitively impaired older adults because they can measure unrestrained individuals. However, there are no criteria for identifying sleep abnormalities using them. We developed a method to determine sleep abnormalities by analysing data collected by a bed sensor system using a self-organizing map (SOM). In this study, the sleep states were measured in two cognitively impaired care-facility residents. These recordings were used to calculate total nocturnal sleep time, wake time after sleep onset, frequency of leaving the bed, and frequency of awakening in the bed for each day. The data from these four variables were used to draw an SOM for each individual’s sleep state to identify normal or abnormal sleep days. We visually determined whether a main cluster was formed in the SOM. If a main cluster was formed, the days included in the main cluster were defined as the individual’s normal days, while other days were defined as the individual’s abnormal days. The above parameters were independently compared between the two groups, as determined by the SOM. The characteristics of abnormal sleep days identified by SOM could be explained using these four variables, suggesting the effectiveness of identifying abnormal days by SOM.

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Paper Citation


in Harvard Style

Kamimura T., Otsuka R., Domoto A., Suzuki H. and Tokita M. (2024). Objective Evaluation of Sleep Disturbances in Older Adults with Cognitive Impairment Using a Bed Sensor System and Self-Organizing Map Analysis. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-707-8, SciTePress, pages 253-258. DOI: 10.5220/0012715000003756


in Bibtex Style

@conference{data24,
author={Tomoko Kamimura and Risa Otsuka and Asaka Domoto and Hikofumi Suzuki and Mamino Tokita},
title={Objective Evaluation of Sleep Disturbances in Older Adults with Cognitive Impairment Using a Bed Sensor System and Self-Organizing Map Analysis},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2024},
pages={253-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012715000003756},
isbn={978-989-758-707-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Objective Evaluation of Sleep Disturbances in Older Adults with Cognitive Impairment Using a Bed Sensor System and Self-Organizing Map Analysis
SN - 978-989-758-707-8
AU - Kamimura T.
AU - Otsuka R.
AU - Domoto A.
AU - Suzuki H.
AU - Tokita M.
PY - 2024
SP - 253
EP - 258
DO - 10.5220/0012715000003756
PB - SciTePress