{"title":"采用PIC的低成本、低功耗QRS检测模块","authors":"Praveen Kumar, Monika Jain, Sagar Chandra","doi":"10.1109/CSNT.2011.92","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient, low cost, low power QRS complexes detection module for ECG analysis. In past lot of research on algorithms for QRS detection has been carried out. All such methods mostly rely on a priori knowledge of the shape of the QRS complexes and general aspects of the ECG. Most of approaches require more CPU time and involve complex mathematics which is difficult to implement for low cost, low power pacemaker design. Moreover, baseline shift, power line interference, muscle noise and other artifacts poses further bottleneck for accurate QRS detection. Detailed analysis of various approaches and their constraints for real time pacemaker application has been done in this paper. A simple, cost competitive smart design has also been proposed. Our solution has very low power requirement and achieves high QRS detection performance without compromising timing accuracy and reliability. To achieve improved QRS detection reliability, various noise components have been attenuated by clever implementation of optimized prefiltering in conjunction with a A/D conversion and Zero-crossing detection. Complete system proposed in this paper has been designed around a PIC microcontroller, Data Acquisition module and a display unit. Proposed design has been tested for extensive data collected from hospitals. Result achieved confirms the design approach illustrated.","PeriodicalId":294850,"journal":{"name":"2011 International Conference on Communication Systems and Network Technologies","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Low Cost, Low Power QRS Detection Module Using PIC\",\"authors\":\"Praveen Kumar, Monika Jain, Sagar Chandra\",\"doi\":\"10.1109/CSNT.2011.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an efficient, low cost, low power QRS complexes detection module for ECG analysis. In past lot of research on algorithms for QRS detection has been carried out. All such methods mostly rely on a priori knowledge of the shape of the QRS complexes and general aspects of the ECG. Most of approaches require more CPU time and involve complex mathematics which is difficult to implement for low cost, low power pacemaker design. Moreover, baseline shift, power line interference, muscle noise and other artifacts poses further bottleneck for accurate QRS detection. Detailed analysis of various approaches and their constraints for real time pacemaker application has been done in this paper. A simple, cost competitive smart design has also been proposed. Our solution has very low power requirement and achieves high QRS detection performance without compromising timing accuracy and reliability. To achieve improved QRS detection reliability, various noise components have been attenuated by clever implementation of optimized prefiltering in conjunction with a A/D conversion and Zero-crossing detection. Complete system proposed in this paper has been designed around a PIC microcontroller, Data Acquisition module and a display unit. Proposed design has been tested for extensive data collected from hospitals. Result achieved confirms the design approach illustrated.\",\"PeriodicalId\":294850,\"journal\":{\"name\":\"2011 International Conference on Communication Systems and Network Technologies\",\"volume\":\"150 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Communication Systems and Network Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNT.2011.92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Communication Systems and Network Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNT.2011.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low Cost, Low Power QRS Detection Module Using PIC
This paper presents an efficient, low cost, low power QRS complexes detection module for ECG analysis. In past lot of research on algorithms for QRS detection has been carried out. All such methods mostly rely on a priori knowledge of the shape of the QRS complexes and general aspects of the ECG. Most of approaches require more CPU time and involve complex mathematics which is difficult to implement for low cost, low power pacemaker design. Moreover, baseline shift, power line interference, muscle noise and other artifacts poses further bottleneck for accurate QRS detection. Detailed analysis of various approaches and their constraints for real time pacemaker application has been done in this paper. A simple, cost competitive smart design has also been proposed. Our solution has very low power requirement and achieves high QRS detection performance without compromising timing accuracy and reliability. To achieve improved QRS detection reliability, various noise components have been attenuated by clever implementation of optimized prefiltering in conjunction with a A/D conversion and Zero-crossing detection. Complete system proposed in this paper has been designed around a PIC microcontroller, Data Acquisition module and a display unit. Proposed design has been tested for extensive data collected from hospitals. Result achieved confirms the design approach illustrated.