M. Abo-Zahhad, M. Sayed, Ahmed H. Abd El‐Malek, Abdelrahman Fawaz, A. Zakaria, Ahmed E. Wahdan, Moaz Elsayed, Aya Taghian
{"title":"An IoT-based Smart Wearable System for Remote Health Monitoring","authors":"M. Abo-Zahhad, M. Sayed, Ahmed H. Abd El‐Malek, Abdelrahman Fawaz, A. Zakaria, Ahmed E. Wahdan, Moaz Elsayed, Aya Taghian","doi":"10.1109/JAC-ECC54461.2021.9691431","DOIUrl":null,"url":null,"abstract":"Internet of Things (IoT) has reshaped our lives by being part of a wide range of fields. Thus, using IoT in healthcare became highly demanded. This could be done through monitoring some of the vital health signs that provide information about the state of health. These vital signs include blood pressure, blood oxygen saturation, body temperature, and pulse rate. Besides, recognizing physical movements of the body leads to the detection of various hazards, such as falls and concussions. Being directed towards daily health monitoring, the design requirements for such device are portability, lightweight and ease of use. We can break down the process of constructing the system into four main stages: data acquisition, pre-processing the sensor readings using an embedded microprocessor, feature extraction and implementation in further recognition algorithms using a shared cloud platform, and data visualization of all vital signs in addition to callouts in case of emergency.","PeriodicalId":354908,"journal":{"name":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JAC-ECC54461.2021.9691431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Internet of Things (IoT) has reshaped our lives by being part of a wide range of fields. Thus, using IoT in healthcare became highly demanded. This could be done through monitoring some of the vital health signs that provide information about the state of health. These vital signs include blood pressure, blood oxygen saturation, body temperature, and pulse rate. Besides, recognizing physical movements of the body leads to the detection of various hazards, such as falls and concussions. Being directed towards daily health monitoring, the design requirements for such device are portability, lightweight and ease of use. We can break down the process of constructing the system into four main stages: data acquisition, pre-processing the sensor readings using an embedded microprocessor, feature extraction and implementation in further recognition algorithms using a shared cloud platform, and data visualization of all vital signs in addition to callouts in case of emergency.