Arish Adil, H. Abid, Nadir Najib, Usama Jillani, Wala Saadeh, Muhammad Awais Bin Altaf
{"title":"用于心律失常检测的穿戴式心电测量系统","authors":"Arish Adil, H. Abid, Nadir Najib, Usama Jillani, Wala Saadeh, Muhammad Awais Bin Altaf","doi":"10.1109/UCET.2019.8881894","DOIUrl":null,"url":null,"abstract":"Continuous tracking of heart activity from Electrocardiogram (ECG) signal to assist physicians in treating Cardio Vascular Disease (CVD) is essential for patients to avoid complications and problems associated with Cardiac arrhythmia conditions. But it necessitates a patch form factor and energy-efficient design for long-term battery operation. This paper presents a novel non-invasive single- lead wearable ECG monitoring system for acquiring the ECG signals along with the proposed simplified processor for arrhythmia detection. To ensure correct functional verification, the proposed system is implemented in hardware and tested using the MIT-BIH ECG arrhythmia database and the Creighton University Ventricular Tachyarrhythmia Database. It achieves a classification accuracy of more than 90%. The proposed processor is also synthesized using 0.18um CMOS technology.","PeriodicalId":169373,"journal":{"name":"2019 UK/ China Emerging Technologies (UCET)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Wearable ECG Measurement System for Detection of Cardiac Arrhythmia\",\"authors\":\"Arish Adil, H. Abid, Nadir Najib, Usama Jillani, Wala Saadeh, Muhammad Awais Bin Altaf\",\"doi\":\"10.1109/UCET.2019.8881894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Continuous tracking of heart activity from Electrocardiogram (ECG) signal to assist physicians in treating Cardio Vascular Disease (CVD) is essential for patients to avoid complications and problems associated with Cardiac arrhythmia conditions. But it necessitates a patch form factor and energy-efficient design for long-term battery operation. This paper presents a novel non-invasive single- lead wearable ECG monitoring system for acquiring the ECG signals along with the proposed simplified processor for arrhythmia detection. To ensure correct functional verification, the proposed system is implemented in hardware and tested using the MIT-BIH ECG arrhythmia database and the Creighton University Ventricular Tachyarrhythmia Database. It achieves a classification accuracy of more than 90%. The proposed processor is also synthesized using 0.18um CMOS technology.\",\"PeriodicalId\":169373,\"journal\":{\"name\":\"2019 UK/ China Emerging Technologies (UCET)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 UK/ China Emerging Technologies (UCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UCET.2019.8881894\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 UK/ China Emerging Technologies (UCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UCET.2019.8881894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wearable ECG Measurement System for Detection of Cardiac Arrhythmia
Continuous tracking of heart activity from Electrocardiogram (ECG) signal to assist physicians in treating Cardio Vascular Disease (CVD) is essential for patients to avoid complications and problems associated with Cardiac arrhythmia conditions. But it necessitates a patch form factor and energy-efficient design for long-term battery operation. This paper presents a novel non-invasive single- lead wearable ECG monitoring system for acquiring the ECG signals along with the proposed simplified processor for arrhythmia detection. To ensure correct functional verification, the proposed system is implemented in hardware and tested using the MIT-BIH ECG arrhythmia database and the Creighton University Ventricular Tachyarrhythmia Database. It achieves a classification accuracy of more than 90%. The proposed processor is also synthesized using 0.18um CMOS technology.