Indoor Air Monitoring Platform and Personal Health Reporting System: Big Data Analytics for Public Health Research
Refereed conference paper presented and published in conference proceedings


摘要Air pollution poses an increased risk for respiratory infections and lung cancer. Monitoring systems on air pollution are common for outdoor environment. In this study, our focus is on the air monitoring in household environment and connects it to a personal health reporting system through a mobile APP. Data will be captured and stored in the cloud so as to improve computational efficiency and enhance data storage capacity. Pollution data can be captured hourly year round, hence a sizeable data storage is needed in the cloud. Health statuses can be uploaded through a self-reporting system, so the data can supply useful information for other healthcare studies, and related urban planning in the future. Furthermore, data analytics based on pollution data can help identify highly polluted areas at different time points. These data are useful for the development of alert systems that can remind individuals to take personal precautions to avoid inhaling pollutants. Such alert systems are applicable to households, commercial buildings and public areas. Accumulated data on this cloud platform can support data mining in search of connections between air pollution and health outcomes, which can fuel research studies in the field of public health.
著者Ho K.-F., Hirai H.W., Kuo Y.-H., Meng H.M., Tsoi K.K.F.
會議名稱4th IEEE International Congress on Big Data, BigData Congress 2015
會議地點New York City
詳細描述organized by IEEE Computer Society, 27 June – 2 July 2015,
頁次309 - 312
關鍵詞Air Pollution, Data Mining, Date Capturing Platform, Personal Heath

上次更新時間 2020-22-09 於 02:25