Jovan Kovačević, R. Stojanovic, D. Karadaglic, B. Asanin, Zivorad Kovacevic, Z. Bundalo, Ferid Softic
{"title":"QRS检测器的FPGA低功耗实现","authors":"Jovan Kovačević, R. Stojanovic, D. Karadaglic, B. Asanin, Zivorad Kovacevic, Z. Bundalo, Ferid Softic","doi":"10.1109/MECO.2014.6862667","DOIUrl":null,"url":null,"abstract":"This paper presents a low power implementation of the algorithms for QRS complex detection in FPGA technology. We used cases of Balda and Pan-Tompkins algorithms for the case study. The optimization methodology is based on the use of heterogeneous logic blocks, pipelining, the variable code word lengths, on chip reorganizing of logic blocks and the control of the clocks. By applying the proposed techniques, the reduction of power consumption by 71% is achieved, in addition to the reduction of the chip occupancy by approx. 91%. The proposed optimization methodology and techniques are also applicable to other applications. The cases when the optimization could be justified in the term of project complexity are analysed and discussed.","PeriodicalId":416168,"journal":{"name":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"FPGA low-power implementation of QRS detectors\",\"authors\":\"Jovan Kovačević, R. Stojanovic, D. Karadaglic, B. Asanin, Zivorad Kovacevic, Z. Bundalo, Ferid Softic\",\"doi\":\"10.1109/MECO.2014.6862667\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a low power implementation of the algorithms for QRS complex detection in FPGA technology. We used cases of Balda and Pan-Tompkins algorithms for the case study. The optimization methodology is based on the use of heterogeneous logic blocks, pipelining, the variable code word lengths, on chip reorganizing of logic blocks and the control of the clocks. By applying the proposed techniques, the reduction of power consumption by 71% is achieved, in addition to the reduction of the chip occupancy by approx. 91%. The proposed optimization methodology and techniques are also applicable to other applications. The cases when the optimization could be justified in the term of project complexity are analysed and discussed.\",\"PeriodicalId\":416168,\"journal\":{\"name\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2014.6862667\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2014.6862667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a low power implementation of the algorithms for QRS complex detection in FPGA technology. We used cases of Balda and Pan-Tompkins algorithms for the case study. The optimization methodology is based on the use of heterogeneous logic blocks, pipelining, the variable code word lengths, on chip reorganizing of logic blocks and the control of the clocks. By applying the proposed techniques, the reduction of power consumption by 71% is achieved, in addition to the reduction of the chip occupancy by approx. 91%. The proposed optimization methodology and techniques are also applicable to other applications. The cases when the optimization could be justified in the term of project complexity are analysed and discussed.