{"title":"人工智能辅助心脏异常和心血管疾病监测的研究进展","authors":"","doi":"10.33263/lianbs123.089","DOIUrl":null,"url":null,"abstract":"Smart sensors integrated with artificial intelligence (AI) have brought pragmatic solutions to many networking sectors, enterprises, and as well as government organizations around the world. This review highlights linking Internet of Things (IoT) technology coupled with artificial intelligence with heart monitoring to make it more personalized and timelier by allowing devices to communicate with one another. Most heart attacks result in the death of a patient much prior patient seeking treatment. The conventional and established treatment strategy is passive, in which patients initiate contact with healthcare providers. As a result, if the patient is not in a state to contact healthcare professionals while facing critical symptoms of cardiovascular disorders, they are unlikely to call for help. The potential prospective of AI in learning information contained in human heart rate monitoring for boosting an individual's performance is briefly outlined in this research.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent Advancements in Artificial Intelligence Assisted Monitoring of Heart Abnormalities and Cardiovascular Diseases: A Review\",\"authors\":\"\",\"doi\":\"10.33263/lianbs123.089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Smart sensors integrated with artificial intelligence (AI) have brought pragmatic solutions to many networking sectors, enterprises, and as well as government organizations around the world. This review highlights linking Internet of Things (IoT) technology coupled with artificial intelligence with heart monitoring to make it more personalized and timelier by allowing devices to communicate with one another. Most heart attacks result in the death of a patient much prior patient seeking treatment. The conventional and established treatment strategy is passive, in which patients initiate contact with healthcare providers. As a result, if the patient is not in a state to contact healthcare professionals while facing critical symptoms of cardiovascular disorders, they are unlikely to call for help. The potential prospective of AI in learning information contained in human heart rate monitoring for boosting an individual's performance is briefly outlined in this research.\",\"PeriodicalId\":18009,\"journal\":{\"name\":\"Letters in Applied NanoBioScience\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Letters in Applied NanoBioScience\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33263/lianbs123.089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Letters in Applied NanoBioScience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33263/lianbs123.089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recent Advancements in Artificial Intelligence Assisted Monitoring of Heart Abnormalities and Cardiovascular Diseases: A Review
Smart sensors integrated with artificial intelligence (AI) have brought pragmatic solutions to many networking sectors, enterprises, and as well as government organizations around the world. This review highlights linking Internet of Things (IoT) technology coupled with artificial intelligence with heart monitoring to make it more personalized and timelier by allowing devices to communicate with one another. Most heart attacks result in the death of a patient much prior patient seeking treatment. The conventional and established treatment strategy is passive, in which patients initiate contact with healthcare providers. As a result, if the patient is not in a state to contact healthcare professionals while facing critical symptoms of cardiovascular disorders, they are unlikely to call for help. The potential prospective of AI in learning information contained in human heart rate monitoring for boosting an individual's performance is briefly outlined in this research.