Suisbiyanto Prasetya, Arief Budi Santiko, Puput Dani Prasetyo Adi, Yuyu Wahyu, Rizky Rahmatullah, B.Berlian Surya Wicaksana, Stevry Yushady Ch Bissa, Riyani Jana Yanti, A. A. Pramudita
{"title":"患者呼吸FMCW雷达数据分析及物联网转换","authors":"Suisbiyanto Prasetya, Arief Budi Santiko, Puput Dani Prasetyo Adi, Yuyu Wahyu, Rizky Rahmatullah, B.Berlian Surya Wicaksana, Stevry Yushady Ch Bissa, Riyani Jana Yanti, A. A. Pramudita","doi":"10.1109/ISITIA59021.2023.10221180","DOIUrl":null,"url":null,"abstract":"Radar technology for health continues to be developed, one of which is from this research, which focuses on Respiratory patients. Not only in terms of FMCW Radar analysis for medical but also in terms of flexibility in displaying data that can be integrated with smartphone devices used by many people today. One of the servers used is MQTT, which has been installed and successfully displayed realtime patient respiratory data. In the future, this research will be installed using a permanent casing that is more fixed and stable in the connectivity process between devices, involving the Raspberry Pi 4 B and OmniPreSense Radar. The data is integrated into the MQTT server with the patient’s respiratory data and produces realtime data in the form of respiratory data graphs.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Analyzes and conversion of Patient’s Respiratory FMCW Radar to the Internet of Things\",\"authors\":\"Suisbiyanto Prasetya, Arief Budi Santiko, Puput Dani Prasetyo Adi, Yuyu Wahyu, Rizky Rahmatullah, B.Berlian Surya Wicaksana, Stevry Yushady Ch Bissa, Riyani Jana Yanti, A. A. Pramudita\",\"doi\":\"10.1109/ISITIA59021.2023.10221180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Radar technology for health continues to be developed, one of which is from this research, which focuses on Respiratory patients. Not only in terms of FMCW Radar analysis for medical but also in terms of flexibility in displaying data that can be integrated with smartphone devices used by many people today. One of the servers used is MQTT, which has been installed and successfully displayed realtime patient respiratory data. In the future, this research will be installed using a permanent casing that is more fixed and stable in the connectivity process between devices, involving the Raspberry Pi 4 B and OmniPreSense Radar. The data is integrated into the MQTT server with the patient’s respiratory data and produces realtime data in the form of respiratory data graphs.\",\"PeriodicalId\":116682,\"journal\":{\"name\":\"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITIA59021.2023.10221180\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITIA59021.2023.10221180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Analyzes and conversion of Patient’s Respiratory FMCW Radar to the Internet of Things
Radar technology for health continues to be developed, one of which is from this research, which focuses on Respiratory patients. Not only in terms of FMCW Radar analysis for medical but also in terms of flexibility in displaying data that can be integrated with smartphone devices used by many people today. One of the servers used is MQTT, which has been installed and successfully displayed realtime patient respiratory data. In the future, this research will be installed using a permanent casing that is more fixed and stable in the connectivity process between devices, involving the Raspberry Pi 4 B and OmniPreSense Radar. The data is integrated into the MQTT server with the patient’s respiratory data and produces realtime data in the form of respiratory data graphs.