Human sleep position classification using a lightweight model and acceleration data.

Journal: Sleep & breathing = Schlaf & Atmung
PMID: 39928075

Abstract

PURPOSE: This exploratory study introduces a portable, wearable device using a single accelerometer to monitor twelve sleep positions. Targeted for home use, the device aims to assist patients with mild conditions such as gastroesophageal reflux disease (GERD) by tracking sleep postures, promoting healthier habits, and improving both reflux symptoms and sleep quality without requiring hospital-based monitoring.

Authors

  • Hoang-Dieu Vu
    Faculty of Electrical and Electronic Engineering, Phenikaa University, Yen Nghia, Hanoi, 12116, Vietnam.
  • Duc-Nghia Tran
    Institute of Information Technology, VAST, Hanoi, Vietnam.
  • Huy-Hieu Pham
    College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam.
  • Dinh-Dat Pham
    Faculty of Electrical and Electronic Engineering, Phenikaa University, Yen Nghia, Hanoi, 12116, Vietnam.
  • Khanh-Ly Can
    Faculty of Electrical and Electronic Engineering, Phenikaa University, Yen Nghia, Hanoi, 12116, Vietnam.
  • To-Hieu Dao
    Faculty of Electrical and Electronic Engineering, Phenikaa University, Yen Nghia, Hanoi, 12116, Vietnam.
  • Duc-Tan Tran
    Faculty of Electrical and Electronic Engineering, Phenikaa University, Yen Nghia, Hanoi, 12116, Vietnam. tan.tranduc@phenikaa-uni.edu.vn.

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