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    題名: Study on Environmental Parameters and Wearing Electrocardiogram
    作者: Yang-Han Lee;Hsien-Wei Tseng;Yu-De Liao;Ting-Wei Lin;Yi-Lun Chen;Ying-Sen Ho
    關鍵詞: IoT;cloud database;ECG;environmental sensing
    日期: 2019-03-29
    上傳時間: 2019-09-20 12:10:39 (UTC+8)
    出版者: MYU K.K.
    摘要: Over the years, environmental changes have made people focus their attention on the quality of their surrounding areas and work environment. However, there are some dangerous substances in areas suitable for human survival and work. People often ignore harmful substances in the air (e.g., substances determined by temperature and humidity, carbon dioxide, and other harmful gases), resulting in physical problems. These substances are often too small to be observed and will severely jeopardize a human body that has been long fixed in the same place. Therefore, the purpose of this study is to assist humans in detecting the presence of hazardous substances in their living and work environments, and to improve such environments through sampling and inspection. Through this effort, humans can survive in a living and working space, and live and work in a comfortable environment. On the basis of the Arduino development edition, in this study, we transfer data to a cloud database through WiFi and combine the cloud database with the heart rate from an electrocardiogram to detect the human heart rate in the work environment to achieve 24 h real-time monitoring at home or in the workplace. By improving the flow field of the interior space, we can further reduce the indoor harmful substance level and optimize human life and work quality. For life and industrial hygiene safety consciousness awakening, in this study, we can promote human safety in the living and work environments by using a sensor to prevent potentially dangerous genetic lesions or derivatives of a disease. In addition, the scope of this study is not limited to the living space of people but extends to factories or other places with harmful substances. In a high-risk work environment, the equipment can be used to conduct risk preanalysis and detection in place of a human to achieve full assessment or environmental improvement, which eliminates the safety concerns of people in the environment.
    關聯: Sensors and Materials 31(3), p.993-1006
    DOI: 10.18494/SAM.2019.2223
    顯示於類別:[電機工程學系暨研究所] 期刊論文


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