Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/17370
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dc.contributor.authorSrisuchinwong D.
dc.contributor.authorSukhachewanon B.
dc.contributor.authorChanwimalueang T.
dc.date.accessioned2022-03-10T13:16:57Z-
dc.date.available2022-03-10T13:16:57Z-
dc.date.issued2021
dc.identifier.other2-s2.0-85105845641
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/17370-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85105845641&doi=10.1109%2fKST51265.2021.9415820&partnerID=40&md5=63586a16415b7a55d9512ce12eed957e
dc.description.abstractThe problem of sleep occurs in all ages. Sleep deprivation causes impairment in immune systems which results in unfit, indistinct representation or an occurrence of brain and cardiac pathologies. Polysomnography is normally used to record sleep-related signals. However, the polysomnography is obtrusive, cumbersome, and expensive. Therefore, we aim to design and develop a data-logger for recording five sleep-related signals: electrocardiogram, photoplethysmogram, body temperature, body movements, and ambient sound. We created an efficient firmware to acquire such signals based on the low-cost ESP32 microcontroller. We designed 2 main tasks facilitating by the dual-core processors inside the ESP32 which can manage and store all recorded data to an SD card simultanously. We conducted experiments with ten subjects to evaluate our device with three vital sign parameters: heart rate, SpO2, and body temperature. The results show that the average percentage error of the three parameters compared to those of the standard patient monitor is less than 5%. This proves that our device can be used for further laboratory experiments with recorded data provided for analyzing sleep quality. © 2021 IEEE.
dc.languageen
dc.subjectFirmware
dc.subjectPatient monitoring
dc.subjectPhysiology
dc.subjectBody temperature
dc.subjectCardiac pathologies
dc.subjectDual core processors
dc.subjectLaboratory experiments
dc.subjectPercentage error
dc.subjectPhoto-plethysmogram
dc.subjectSleep deprivation
dc.subjectThree parameters
dc.subjectSleep research
dc.titleAcquiring unobtrusive sleep-related signals through an ESP32-based data logger
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitationKST 2021 - 2021 13th International Conference Knowledge and Smart Technology. Vol , No. (2021), p.38-42
dc.identifier.doi10.1109/KST51265.2021.9415820
Appears in Collections:Scopus 1983-2021

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