Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lin, Chin-Teng | en_US |
dc.contributor.author | Prasad, Mukesh | en_US |
dc.contributor.author | Chung, Chia-Hsin | en_US |
dc.contributor.author | Puthal, Deepak | en_US |
dc.contributor.author | El-Sayed, Hesham | en_US |
dc.contributor.author | Sankar, Sharmi | en_US |
dc.contributor.author | Wang, Yu-Kai | en_US |
dc.contributor.author | Singh, Jagendra | en_US |
dc.contributor.author | Sangaiah, Arun Kumar | en_US |
dc.date.accessioned | 2018-08-21T05:53:20Z | - |
dc.date.available | 2018-08-21T05:53:20Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 2169-3536 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1109/ACCESS.2017.2765702 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/144563 | - |
dc.description.abstract | Polysomnography (PSG) is considered the gold standard in the diagnosis of obstructive sleep apnea (OSA). The diagnosis of OSA requires an overnight sleep experiment in a laboratory. However, due to limitations in relation to the number of labs and beds available, patients often need to wait a long time before being diagnosed and eventually treated. In addition, the unfamiliar environment and restricted mobility when a patient is being tested with a polysomnogram may disturb their sleep, resulting in an incomplete or corrupted test. Therefore, it is posed that a PSG conducted in the patient's home would be more reliable and convenient. The Internet of Things (IoT) plays a vital role in the e-Health system. In this paper, we implement an IoT-based wireless polysomnography system for sleep monitoring, which utilizes a battery-powered, miniature, wireless, portable, and multipurpose recorder. A Java-based PSG recording program in the personal computer is designed to save several bio-signals and transfer them into the European data format. These PSG records can be used to determine a patient's sleep stages and diagnose OSA. This system is portable, lightweight, and has low power-consumption. To demonstrate the feasibility of the proposed PSG system, a comparison was made between the standard PSG-Alice 5 Diagnostic Sleep System and the proposed system. Several healthy volunteer patients participated in the PSG experiment and were monitored by both the standard PSG-Alice 5 Diagnostic Sleep System and the proposed system simultaneously, under the supervision of specialists at the Sleep Laboratory in Taipei Veteran General Hospital. A comparison of the results of the time-domain waveform and sleep stage of the two systems shows that the proposed system is reliable and can be applied in practice. The proposed system can facilitate the long-term tracing and research of personal sleep monitoring at home. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Polysomnography (PSG) | en_US |
dc.subject | JAVA | en_US |
dc.subject | Internet of Things | en_US |
dc.subject | wireless | en_US |
dc.subject | sleep monitoring | en_US |
dc.title | IoT-Based Wireless Polysomnography Intelligent System for Sleep Monitoring | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ACCESS.2017.2765702 | en_US |
dc.identifier.journal | IEEE ACCESS | en_US |
dc.citation.volume | 6 | en_US |
dc.citation.spage | 405 | en_US |
dc.citation.epage | 414 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000425673800013 | en_US |
Appears in Collections: | Articles |