Smart mattress system based on internet of things

被引：0

作者：

Jiao X. ^{[1
]}

Liu C. ^{[2
]}

Li L. ^{[3
]}

Wang X. ^{[1
]}

机构：

[1] Rehabilitation Medicine Department, Peking University First Hospital

[2] Haitian District Health Commission of Beijing Municipality, Beijing

来源：

International Journal of Performability Engineering | 2020年 / 16卷 / 09期

关键词：

Internet of Things; Medical diagnosis; MQTT protocol; Smart mattress system;

D O I：

10.23940/ijpe.20.09.p15.14601467

中图分类号：

学科分类号：

摘要：

During the past few years, Internet of things (IoT) has become an unprecedented buzzword in most areas of business and industry. It has also been one of the most revolutionary technologies in recent times, catalyzing a paradigm shift in traditional healthcare methods. This paper focuses on the monitoring and tracking of sleep health and designs a smart mattress system, which mainly includes information collection of mattress sensors, data transmission of communication networks, and distributed data management center of the message queuing telemetry transport (MQTT) protocol. Through the coordination of these parts, the sleep quality monitoring of a specific group of people can be achieved. The diagnosis of corresponding diseases, the tracking of health conditions, and the warning of special situations can be performed via the bed system. © 2020 Totem Publisher, Inc.

引用

页码：1460 / 1467

页数：7

共 11 条

[1]

Siyang S., Lokavee S., Kerdcharoen T., The Development of IoT-based Non-Obstructive Monitoring System for Human's Sleep Monitoring, Proceedings of 2019 IEEE International Conference on Consumer Electronics, pp. 1-2, (2019)

[2]

Walsh L., Moloney E., McLoone S., Identification of Nocturnal Movements During Sleep using the Non-Contact Under Mattress Bed Sensor, Proceedings of 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1660-1663, (2011)

[3]

Darwish A., Hassanien A. E., Elhoseny M., Sangaiah A. K., Muhammad K., The Impact of the Hybrid Platform of Internet of Things and Cloud Computing on Healthcare Systems: Opportunities, Challenges, and Open Problems,, Journal of Ambient Intelligence and Humanized Computing, 10, 10, pp. 4151-4166, (2019)

[4]

Chatterjee P., Cymberknop L. J., Armentano R. L., IoT-based Decision Support System for Intelligent Healthcare - Applied to Cardiovascular Diseases, Proceedings of 2017 7th International Conference on Communication Systems and Network Technologies (CSNT), pp. 362-366, (2017)

[5]

Anand S., Routray S. K., Issues and Challenges in Healthcare Narrowband IoT, Proceedings of 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT), pp. 486-489, (2017)

[6]

Xu K. C., Lu Y. Y., Takei K., Multifunctional Skin-Inspired Flexible Sensor Systems for Wearable Electronics, Journal of Advanced Materials Technologies, 4, 3, (2019)

[7]

Tataraidze A. B., Anishchenko L. N., Korostovtseva L. S., Bochkarev M. V., Sviryaev Y. V., Non-Contact Respiratory Monitoring of Subjects with Sleep-Disordered Breathing, Proceedings of 2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), pp. 736-738, (2018)

[8]

Management, Transport and Information Security, Information Technologies (IT&QM&IS), pp. 736-738, (2018)

[9]

Li F., Clemente J., Song W., Non-Intrusive and Non-Contact Sleep Monitoring with Seismometer, Proceedings of 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 449-453, (2018)

[10]

Yang Y., Zheng X. H., Guo W. Z., Liu X. M., Chang V., Privacy-Preserving Smart IoT-based Healthcare Big Data Storage and Self-Adaptive Access Control System,, Information Sciences, 479, pp. 567-592, (2019)

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