Offline-First Sleep Assessment (OFFSA): Internet of Things Polysomnography Sleep Assessment Framework for Sleep Monitoring in Rural Environment
Novi Azman1, Sandy Rachmat Wicaksono2, Ernawati Sinaga3
1Novi Azman, Electrical Engineering, Universitas Nasional, South Jakarta, Indonesia.
2Sandy Rachmat Wicaksono, Engineering Physics, Universitas Nasional, South Jakarta, Indonesia.
3Ernawati Sinaga*, Biology, Universitas Nasional, South Jakarta, Indonesia.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 6112-6118 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8774118419/2019©BEIESP | DOI: 10.35940/ijrte.D8774.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Sleep is a mandatory biological requirement for humans that require appropriate proportions and quality. The assessment method in determining the best sleep quality and the medical gold standard is to use a Polysomnography device. The advantages of the Internet of Things can significantly increase the usefulness of Polysomnography in suburban areas. The target location of this framework makes our consideration adhere to the Offline-First Internet of Things method to overcome the limitations of the internet at that location. Unfortunately, there are still problems coming from the concept of the Internet of Things itself, and the problem is in data security. So we propose a framework for Polysomnography devices that connects the Internet of Things with a focus on the security and confidentiality of patient data called Offline-First Sleep Assessment (OFFSA). We enumerate patient medical data and archive encryption to improve patient data security. The confidentiality of our patient data is achieved by encryption on every medical data exchange and is only open on the Graphic User Interface application on the device that has been registered.
Keywords: Framework, Internet of Things, Polysomnography, Sleep Assessment
Scope of the Article: Internet of Things.