This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (1072)

Published on in Vol 7, No 12 (2019): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14473, first published .
Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study

Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study

Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study

Authors of this article:

Sungkyu Park1 Author Orcid Image ;   Sang Won Lee2 Author Orcid Image ;   Sungwon Han3 Author Orcid Image ;   Meeyoung Cha3, 4 Author Orcid Image
Article Authors Cited by (18) Tweetations (12) Metrics

Sungkyu Park   1 * , MSc ;   Sang Won Lee   2 * , MD, PhD ;   Sungwon Han   3 , BSc ;   Meeyoung Cha   3, 4 , PhD

1 Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of

2 Kyungpook National University Chilgok Hospital, Daegu, Korea, Republic of

3 School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of

4 Data Science Group, Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon, Korea, Republic of

*these authors contributed equally

Corresponding Author:

  • Meeyoung Cha, PhD
  • Data Science Group
  • Center for Mathematical and Computational Sciences
  • Institute for Basic Science
  • 55 EXPO-ro, Doryong-dong, Yuseong-gu
  • Daejeon
  • Korea, Republic of
  • Phone: 82 42 878 9300
  • Email: meeyoung.cha@gmail.com