Sleep apnea monitoring for smart healthcare
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | IEEE |
| Pages | 4726-4729 |
| ISBN (Electronic) | 978-1-5090-6684-1 |
| Publication status | Published - Oct 2018 |
Publication series
| Name | Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
|---|
Conference
| Title | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 |
|---|---|
| Place | United States |
| City | Washington |
| Period | 20 - 23 October 2018 |
Link(s)
Abstract
Vocational safety problems have been causing millions of workers dead even with related safety policies launched. Sleep apnea is one of the main causes that renders insufficient sleep and thus becomes a high potential risk of working accidents. To assess sleep apnea, sleep stage monitoring and classification is the main and accurate way. Therefore, in this paper, a new classifier is designed for the sleep stage classification among awake, light sleep and deep sleep. A new kernel is designed for the sleep apnea classification. Results show that the proposed method can achieve an accuracy up to 97% and ~18% higher than the previous related works. Such a high accuracy ensures the efficient diagnosis of sleep apnea.
Research Area(s)
- 2 Sleep Apnea, Classfication, Industgrial vocational safety
Bibliographic Note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
Citation Format(s)
Sleep apnea monitoring for smart healthcare. / Zhu, Hongxu; Koo, Cheon Hoi; Wu, Chung Kit et al.
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2018. p. 4726-4729 8592908 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2018. p. 4726-4729 8592908 (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with host publication) › peer-review
