Detecting periodic limb movements in sleep using motion sensor embedded wearable band

Saewon Kye, Junhyung Moon, Taeho Lee, Sangyeop Lee, Kyoungwoo Lee, Seung Chul Shin, Yong Seung Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Monitoring periodic limb movements in sleep (PLMS) is important since it is correlated with people's quality of sleep and several other sleep disorders. The clinically approved method of examining PLMS is polysomnography (PSG) where the sleep of patients are examined in a laboratory with various sensors attached to their body. However, PSG is timeconsuming and expensive for patients and the need for costeffective and comfortable PLMS detection method has not been fulfilled. Accordingly, we propose a PLMS detection framework which utilizes a wearable motion-sensor-embedded band. In this work, we study the location to comfortably wear the device and accurately collect data on a foot. Further, to increase the accuracy of classifying PLMS, we propose the Motion Synchronized Windowing technique which segments the intervals where movements occur. Finally, we classify PLMS by using various machine learning algorithms typically used in the human activity recognition. Our proposed system achieves the accuracy of up to 96.92% in detecting PLMS. Therefore, our system is a costeffective and convenient method of monitoring PLMS.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1087-1092
Number of pages6
ISBN (Electronic)9781538616451
DOIs
Publication statusPublished - 2017 Nov 27
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: 2017 Oct 52017 Oct 8

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Other

Other2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
CountryCanada
CityBanff
Period17/10/517/10/8

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

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  • Cite this

    Kye, S., Moon, J., Lee, T., Lee, S., Lee, K., Shin, S. C., & Seung Lee, Y. (2017). Detecting periodic limb movements in sleep using motion sensor embedded wearable band. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 (pp. 1087-1092). (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2017.8122756