Robust Respiratory Rate Monitoring Using Smartwatch Photoplethysmography

Author:

Zhao Langcheng1ORCID,Zhang Fenglin1ORCID,Zhang Huanhuan1ORCID,Liang Yumeng1ORCID,Zhou Anfu1ORCID,Ma Huadong1ORCID

Affiliation:

1. Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Key Research and Development Program of China

Innovation Research Group Project of NSFC

NSFC

Higher Education Discipline Innovation Project

Youth Top Talent Support Program

China National Postdoctoral Program for Innovative Talents

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 6 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. A 206 μW Vital Signs Monitoring System on Chip for Measuring Five Vitals;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-09

2. AirECG: Contactless Electrocardiogram for Cardiac Disease Monitoring via mmWave Sensing and Cross-domain Diffusion Model;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

3. AcHand: Detecting Respiratory Rate of Operator Via Smartphone Microphone;IEEE Sensors Journal;2024-04-15

4. DeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches;2024 IEEE International Conference on Pervasive Computing and Communications (PerCom);2024-03-11

5. Classification of Motor Competence in Schoolchildren Using Wearable Technology and Machine Learning with Hyperparameter Optimization;Applied Sciences;2024-01-14

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