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http://dx.doi.org/10.14372/IEMEK.2022.17.1.19

Development of Wearable Devices Equipped with Multi Sensor that can Analyze and Manage Symptoms of Parkinson's Patients as data  

Kim, SangHyeok (Kyungpook National University)
Jeon, YeongJun (Kyungpook National University)
Kang, SoonJu (Kyungpook National University)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.17, no.1, 2022 , pp. 19-24 More about this Journal
Abstract
Through the development and dissemination of embedded devices, studies that may help patients are rapidly emerging. Recently, as wearable devices have become one of the ways to diagnose diseases in daily life, they are being studied as a way to assist severely ill patients to lead their daily lives. Among them, a method of detecting and giving signals to detect and solve symptoms using acceleration sensors to diagnose Parkinson's disease is being studied, and there is no study to measure and analyze various factors that can affect Parkinson's disease. To solve them, we designed and developed a wearable device, P-Band, with various sensors capable of diagnosing related symptoms, including acceleration sensors capable of diagnosing Parkinson's disease. In this paper, the overall structure of the P-Band and the description and operation method of the measurable sensors are presented. In addition, it was confirmed that the symptoms of Parkinson's patients could be determined complexly through the results measured in actual patients.
Keywords
Parkinson; Wearable; Acceleration sensor; Spo2 sensor; Gas sensor; Light sensor;
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