{"title":"噪声环境下PPG信号的实时心率检测","authors":"Sangita Das, S. Pal, M. Mitra","doi":"10.1109/ICICPI.2016.7859676","DOIUrl":null,"url":null,"abstract":"In this paper a Photoplethysmography (PPG) based noise robust real time heart rate measurement technique is proposed. It has been developed using Arduino Uno board based on 8-bit AVR core microcontroller and having 16 MHz clock frequency. The basic idea of the proposed work is to extract the periodic PPG signal contaminated by non-periodic noise and atrifact. The algorithm is based on short term autocorrelation technique over the time shifted PPG signal. The algorithm and the developed system is validated against the heart rates derived from the signals acquired in BIOPAC MP150 data acquisition system. The designed system is highly noise robust and it can detect heart rate with almost 0% error considering BIOPAC MP150 as a standard.","PeriodicalId":6501,"journal":{"name":"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)","volume":"23 5","pages":"70-73"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Real time heart rate detection from PPG signal in noisy environment\",\"authors\":\"Sangita Das, S. Pal, M. Mitra\",\"doi\":\"10.1109/ICICPI.2016.7859676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a Photoplethysmography (PPG) based noise robust real time heart rate measurement technique is proposed. It has been developed using Arduino Uno board based on 8-bit AVR core microcontroller and having 16 MHz clock frequency. The basic idea of the proposed work is to extract the periodic PPG signal contaminated by non-periodic noise and atrifact. The algorithm is based on short term autocorrelation technique over the time shifted PPG signal. The algorithm and the developed system is validated against the heart rates derived from the signals acquired in BIOPAC MP150 data acquisition system. The designed system is highly noise robust and it can detect heart rate with almost 0% error considering BIOPAC MP150 as a standard.\",\"PeriodicalId\":6501,\"journal\":{\"name\":\"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)\",\"volume\":\"23 5\",\"pages\":\"70-73\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICPI.2016.7859676\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICPI.2016.7859676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real time heart rate detection from PPG signal in noisy environment
In this paper a Photoplethysmography (PPG) based noise robust real time heart rate measurement technique is proposed. It has been developed using Arduino Uno board based on 8-bit AVR core microcontroller and having 16 MHz clock frequency. The basic idea of the proposed work is to extract the periodic PPG signal contaminated by non-periodic noise and atrifact. The algorithm is based on short term autocorrelation technique over the time shifted PPG signal. The algorithm and the developed system is validated against the heart rates derived from the signals acquired in BIOPAC MP150 data acquisition system. The designed system is highly noise robust and it can detect heart rate with almost 0% error considering BIOPAC MP150 as a standard.