Auditory Receptive Field Net Based Automatic Snore Detection for Wearable Devices-Reference-Cited by-同舟云学术

Auditory Receptive Field Net Based Automatic Snore Detection for Wearable Devices

Author:

Hu Xiyuan¹^ORCID,Sun Jingpeng²^ORCID,Dong Jinping³,Zhang Xuyun⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Weifang Key Laboratory of Blockchain on Agricultural Vegetables, Weifang University of Science and Technology, Weifang, Shouguang, China

4. School of Computing, Macquarie University, Macquarie Park, NSW, Australia

Funder

National Natural Science Foundation of China

Start-up Research Funds

Nanjing University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference42 articles.

1. Bidirectional GRU networks-based next POI category prediction for healthcare;liu;Int J Intell Syst,2021

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4. Joint Detection and Active Cancellation of Snoring Signals in Real-Time;2023 4th International Symposium on the Internet of Sounds;2023-10-26