Author(s)

Xu Chen, DeQuan Kong^*

Affiliation(s)

School of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, Heilongjiang, China.

Corresponding Author

DeQuan Kong

ABSTRACT

To facilitate the monitoring and assessment of sleep conditions, this paper designs a cloud-based sleep quality monitoring and evaluation system. The system comprises a signal acquisition and processing module and a cloud platform. The signal acquisition and processing module connects to the cloud platform via Bluetooth, enabling the collection, reception, processing, and storage of various signals during sleep. The cloud platform employs a Naive Bayes sleep staging algorithm to classify sleep stages and assess sleep quality.

KEYWORDS

Non-contact sleep monitoring; Naive bayes sleep staging algorithm; Smart device terminal; PVDF

CITE THIS PAPER

Xu Chen, DeQuan Kong. Cloud based sleep quality monitoring and evaluation system. Journal of Computer Science and Electrical Engineering. 2024, 6(3): 28-32. DOI: 10.61784/jcsee3013.

REFERENCES

[1] Zeng Jin, Lao Zhihui, Xu Mianqu. Design of an Embedded Sleep Posture Monitoring System Based on Infrared Cameras. Electronics Technology & Software Engineering, 2019(15): 168-170.

[2] Yang Jiafeng, Tong Jijun, Jiang Lurong, et al. Design and Implementation of a Non-Intrusive Sleep Respiratory Monitoring System. Computer Engineering and Applications, 2022, 58(05): 302-308.

[3] Liang Chao, Wang Peng, Cao Beibei, et al. Wearable Intelligent Sleep Quality Detection System. Journal of Electronic Measurement and Instrumentation, 2018, 32(05): 159-167.

[4] Yu D, Chander A, Islam N, et al. JavaScript instrumentation forbrowsersecurity. Acm Sigplan Notices, 2007, 42(1): 237-249.

[5] Jennifer Sloboda, Manohar Das. A Simple Sleep Stage Identification Technique for Incorporation in Inexpensive Electronic Sleep Screening Devices. Aerospace and Electronics Conference, Proceedings of the 2011 IEEE National, 2011: 21-24.

[6] Wu Taofeng, Gan Shuqi, Ouyang Chengjun, et al. Portable Sleep Quality Monitoring Device Based on Arduino. Electronics Technology & Software Engineering, 2021(18): 61-62.

[7] Zhong Linqian, Huang Jun, Liu Can, et al. Design and Implementation of Cloud-Based Sleep Monitoring Software. Information Communication, 2019, (03): 100-103.

[8] Dai Fengzhi, Lu Peng, Zhu Yuxuan. Design of a Multi-Sensor Sleep Monitoring and Assessment System. Foreign Electronic Measurement Technology, 2022, 41(04): 126-133.