Novel Sleep Apnea Detection Based on UWB Artificial Intelligence Mattress

Chiapin Wang, Jen Hau Chan, Shih Hau Fang, Ho Ti Cheng, Yeh Liang Hsu

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a novel sleep apnea identification system by adopting a sleep breathing monitoring mattress which utilizes the ultra-wideband (UWB) physiological sensing technique. Unlike traditional methods which need wearable devices and electrical equipment connected to patients, the proposed system detects apnea in a non-conscious and non-contact way by using UWB sensors. The proposed system is built by a machine learning technique in the offline stage, and detects apnea in the online stage by using our designed apnea detection algorithm. The experimental results illustrate that the proposed apnea identification system efficiently detects sleep apnea without diagnoses undertaken at hospitals.

原文英語
主出版物標題Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面158-159
頁數2
ISBN(電子)9781538678848
DOIs
出版狀態已發佈 - 2019 三月
事件1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 - Hsinchu, 臺灣
持續時間: 2019 三月 182019 三月 20

出版系列

名字Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019

會議

會議1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
國家/地區臺灣
城市Hsinchu
期間2019/03/182019/03/20

ASJC Scopus subject areas

  • 人工智慧
  • 硬體和架構
  • 電氣與電子工程

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