Respiratory events screening using consumer smartwatches-Reference-Cited by-同舟云学术

Respiratory events screening using consumer smartwatches

Published:2020-09-10 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
language:
Short-container-title:

Author:

Fedorin Illia¹,Slyusarenko Kostyantyn¹,Nastenko Margaryta¹

Affiliation:

1. Samsung R&D Institute Ukraine, Kyiv, Ukraine

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3410530.3414399

Reference15 articles.

1. Respiratory effort from the photoplethysmogram

2. Richard Berry Rita Brooks Charlene Gamaldo Susan Harding Carole Marcus and Bradley Vaughn. 2015. The AASM Manual for the Scoring of Sleep and Associated Events: Rules Terminology and Technical Specifications version 2 (2nd. ed.). American Academy of Sleep Medicine Darien Illinois. Richard Berry Rita Brooks Charlene Gamaldo Susan Harding Carole Marcus and Bradley Vaughn. 2015. The AASM Manual for the Scoring of Sleep and Associated Events: Rules Terminology and Technical Specifications version 2 (2nd. ed.). American Academy of Sleep Medicine Darien Illinois.

3. A Method for Respiration Rate Detection in Wrist PPG Signal Using Holo-Hilbert Spectrum

4. Krittanawong Chayakrit W. Johnson Kipp S Rosenson Robert Wang Zhen Aydar Mehmet Baber Usman K. Min James Tang W H Wilson L. Halperin Jonathan and M. Narayan Sanjiv. 2019. Deep learning for cardiovascular medicine: a practical primer. European heart journal 40 25 (2019) 2058--2073. Krittanawong Chayakrit W. Johnson Kipp S Rosenson Robert Wang Zhen Aydar Mehmet Baber Usman K. Min James Tang W H Wilson L. Halperin Jonathan and M. Narayan Sanjiv. 2019. Deep learning for cardiovascular medicine: a practical primer. European heart journal 40 25 (2019) 2058--2073.

5. Massimiliano de Zambotti Job G. Godino Fiona C. Baker Joseph Cheung Kevin Patrick and Ian M. Colrain. 2016. The Boom in Wearable Technology: Cause for Alarm or Just What is Needed to Better Understand Sleep? Sleep 39 9 (2016) 1761--2. Massimiliano de Zambotti Job G. Godino Fiona C. Baker Joseph Cheung Kevin Patrick and Ian M. Colrain. 2016. The Boom in Wearable Technology: Cause for Alarm or Just What is Needed to Better Understand Sleep? Sleep 39 9 (2016) 1761--2.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis;Journal of Medical Internet Research;2024-09-10

2. Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis (Preprint);2024-03-08

3. Forecasting of breathing events during nocturnal sleep using encoder-decoder recurrent neural network based on a sensors data of consumer smartwatches;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

4. Privacy-preserving deep learning for pervasive health monitoring: a study of environment requirements and existing solutions adequacy;Health and Technology;2022-02-04

5. Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19;Sensors;2021-12-17