Εμφάνιση απλής εγγραφής

dc.creatorKalovrektis K., Xenakis A., Sofianou D., Simatos G., Papadopoulos G., Stamoulis G.en
dc.date.accessioned2023-01-31T08:29:41Z
dc.date.available2023-01-31T08:29:41Z
dc.date.issued2022
dc.identifier10.1109/SEEDA-CECNSM57760.2022.9932974
dc.identifier.isbn9798350398588
dc.identifier.urihttp://hdl.handle.net/11615/74216
dc.description.abstractThis paper presents a low cost and novel mechanical system to estimate patients' Alzheimer's disease (AD) early stage. In essence our device measures the time variance between the patient's decisions to take his/her medicine. In more detail, the system calculates the time difference between significant time limits, where the patient is supposed to take the pills. This device may work as a warning tool to proactively diagnose and take medical actions, as it calculates patterns within the time difference in the patients' behavior. To this end, this paper, presents the system testbed, with which we keep track of a patient behavior and warn the treating doctor. © 2022 IEEE.en
dc.language.isoenen
dc.source7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2022en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85142211661&doi=10.1109%2fSEEDA-CECNSM57760.2022.9932974&partnerID=40&md5=9c37570868ce9faadebd5ea330c226a6
dc.subjectCost benefit analysisen
dc.subjectInternet of thingsen
dc.subjectNeurodegenerative diseasesen
dc.subjectPelletizingen
dc.subjectTestbedsen
dc.subjectAlzheimeren
dc.subjectAlzheimer diagnoseen
dc.subjectAlzheimers diseaseen
dc.subjectArduino platformen
dc.subjectEarly-stage diagnosisen
dc.subjectIoT testbeden
dc.subjectLow-costsen
dc.subjectMechanical systemsen
dc.subjectTest bed systemsen
dc.subjectTime-differencesen
dc.subjectDiagnosisen
dc.subjectInstitute of Electrical and Electronics Engineers Inc.en
dc.titleA Low Cost IoT TestBed System for Alzheimer's Early Stages Diagnosis in Health 4.0 Applicationen
dc.typeconferenceItemen


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