Dylan Hall, Anthony Gladdney, Yasimine Labriny, Y. Alqudah
{"title":"检测呼吸异常的移动应用呼吸分析仪的开发","authors":"Dylan Hall, Anthony Gladdney, Yasimine Labriny, Y. Alqudah","doi":"10.1109/IDSTA55301.2022.9923202","DOIUrl":null,"url":null,"abstract":"This work presents a solution to monitor breathing patterns to detect any signs of abnormalities and ensure properly ventilating pulmonary system. The solution includes the ability to track and detect coughing. The system can be used by individuals to monitor breathing or athletes to monitor performance while exercising. The solution utilizes machine learning algorithms implemented through Edge Impulse to classify and analyze breathing patterns. It also features a user mobile application to record and transmit data and receive the classification results.","PeriodicalId":268343,"journal":{"name":"2022 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Development of Mobile Application Breathing Analyzer to Detect Breathing Abnormalities\",\"authors\":\"Dylan Hall, Anthony Gladdney, Yasimine Labriny, Y. Alqudah\",\"doi\":\"10.1109/IDSTA55301.2022.9923202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a solution to monitor breathing patterns to detect any signs of abnormalities and ensure properly ventilating pulmonary system. The solution includes the ability to track and detect coughing. The system can be used by individuals to monitor breathing or athletes to monitor performance while exercising. The solution utilizes machine learning algorithms implemented through Edge Impulse to classify and analyze breathing patterns. It also features a user mobile application to record and transmit data and receive the classification results.\",\"PeriodicalId\":268343,\"journal\":{\"name\":\"2022 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDSTA55301.2022.9923202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDSTA55301.2022.9923202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Development of Mobile Application Breathing Analyzer to Detect Breathing Abnormalities
This work presents a solution to monitor breathing patterns to detect any signs of abnormalities and ensure properly ventilating pulmonary system. The solution includes the ability to track and detect coughing. The system can be used by individuals to monitor breathing or athletes to monitor performance while exercising. The solution utilizes machine learning algorithms implemented through Edge Impulse to classify and analyze breathing patterns. It also features a user mobile application to record and transmit data and receive the classification results.