K. K. Reddy, Abilash Kv, S. S, Pappa M, S. N, Sateesh A
{"title":"无创心血管危险诊断系统的研制","authors":"K. K. Reddy, Abilash Kv, S. S, Pappa M, S. N, Sateesh A","doi":"10.1109/ICOEI48184.2020.9142904","DOIUrl":null,"url":null,"abstract":"This paper mainly focuses on the function of echo-cardiogram to monitor Heart remotely or in a diagnostic centre.The proposed method enables us to fetch the ECG data from the patient in a non-invasive manner by the use of ECG electrodes and predicting their cardiac load and condition from derived parameters like BPM & QRS complex remotely.BPM/Heart rate is calculated through the Continues Wavelet Transform method. The QRS complex is depicted through the QRS wave interval of heart data. which is then compared with the typical interval to produce a conclusion on heart function. To use and assess accurately the information obtained the data is presented in a collaborative report format so that any cardiac-risk analysis is viable for the doctor and the patient to have a complete idea about the patient's present condition which can help diagnosis prior to the disease taking effect.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"2 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Development of Non Invasive cardiovascular risk diagnosing system\",\"authors\":\"K. K. Reddy, Abilash Kv, S. S, Pappa M, S. N, Sateesh A\",\"doi\":\"10.1109/ICOEI48184.2020.9142904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper mainly focuses on the function of echo-cardiogram to monitor Heart remotely or in a diagnostic centre.The proposed method enables us to fetch the ECG data from the patient in a non-invasive manner by the use of ECG electrodes and predicting their cardiac load and condition from derived parameters like BPM & QRS complex remotely.BPM/Heart rate is calculated through the Continues Wavelet Transform method. The QRS complex is depicted through the QRS wave interval of heart data. which is then compared with the typical interval to produce a conclusion on heart function. To use and assess accurately the information obtained the data is presented in a collaborative report format so that any cardiac-risk analysis is viable for the doctor and the patient to have a complete idea about the patient's present condition which can help diagnosis prior to the disease taking effect.\",\"PeriodicalId\":267795,\"journal\":{\"name\":\"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)\",\"volume\":\"2 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOEI48184.2020.9142904\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOEI48184.2020.9142904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of Non Invasive cardiovascular risk diagnosing system
This paper mainly focuses on the function of echo-cardiogram to monitor Heart remotely or in a diagnostic centre.The proposed method enables us to fetch the ECG data from the patient in a non-invasive manner by the use of ECG electrodes and predicting their cardiac load and condition from derived parameters like BPM & QRS complex remotely.BPM/Heart rate is calculated through the Continues Wavelet Transform method. The QRS complex is depicted through the QRS wave interval of heart data. which is then compared with the typical interval to produce a conclusion on heart function. To use and assess accurately the information obtained the data is presented in a collaborative report format so that any cardiac-risk analysis is viable for the doctor and the patient to have a complete idea about the patient's present condition which can help diagnosis prior to the disease taking effect.