{"title":"基于TMS320C6713处理器和多速率信号处理的实时心跳检测技术","authors":"D. Mandal, Madhabi Ganguly","doi":"10.1109/RAIT.2016.7507892","DOIUrl":null,"url":null,"abstract":"A lot of works have been done on Electrocardiogram and Phonocardiogram (ECG and PCG). But in most of the cases data for ECG or PCG have been taken from standard database like MIT-BIH Arrhythmia or any other sources. In this work a real-time signal processing task (RTST) on heart sound is presented. In the first part it is shown that the phonocardiogram signal (PCG) could be detected using an electronic circuit along with the DSP (TMS320C6713) processor from human heart. In the second part reduction of PCG signal and analysis of PCG signal have been shown using different digital signal processing techniques like Decimation, Interpolation, Windowing, Discrete Fourier Transform, Fast Fourier Transforms etc. In this work we have applied the Multi-rate Signal Processing Technique to reduce the size of the heart sound signal. The MSPT deals with different sampling frequencies. The challenging part of this work is to apply the DSP KIT to achieve the heart sound data and to apply the different signal processing techniques to reach the goal. An electronic circuit is designed and implemented along with a stethoscope to receive the heart sound signal (PCG signal) from the human heart. The DSP KIT is incorporated to proceed to the main work. The task has been completed through taking near about 20 person's real time heart sound samples (PCG samples).","PeriodicalId":289216,"journal":{"name":"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A real-time heartbeat detection technique using TMS320C6713 processor and Multi-Rate Signal Processing\",\"authors\":\"D. Mandal, Madhabi Ganguly\",\"doi\":\"10.1109/RAIT.2016.7507892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A lot of works have been done on Electrocardiogram and Phonocardiogram (ECG and PCG). But in most of the cases data for ECG or PCG have been taken from standard database like MIT-BIH Arrhythmia or any other sources. In this work a real-time signal processing task (RTST) on heart sound is presented. In the first part it is shown that the phonocardiogram signal (PCG) could be detected using an electronic circuit along with the DSP (TMS320C6713) processor from human heart. In the second part reduction of PCG signal and analysis of PCG signal have been shown using different digital signal processing techniques like Decimation, Interpolation, Windowing, Discrete Fourier Transform, Fast Fourier Transforms etc. In this work we have applied the Multi-rate Signal Processing Technique to reduce the size of the heart sound signal. The MSPT deals with different sampling frequencies. The challenging part of this work is to apply the DSP KIT to achieve the heart sound data and to apply the different signal processing techniques to reach the goal. An electronic circuit is designed and implemented along with a stethoscope to receive the heart sound signal (PCG signal) from the human heart. The DSP KIT is incorporated to proceed to the main work. The task has been completed through taking near about 20 person's real time heart sound samples (PCG samples).\",\"PeriodicalId\":289216,\"journal\":{\"name\":\"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAIT.2016.7507892\",\"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 3rd International Conference on Recent Advances in Information Technology (RAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAIT.2016.7507892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A real-time heartbeat detection technique using TMS320C6713 processor and Multi-Rate Signal Processing
A lot of works have been done on Electrocardiogram and Phonocardiogram (ECG and PCG). But in most of the cases data for ECG or PCG have been taken from standard database like MIT-BIH Arrhythmia or any other sources. In this work a real-time signal processing task (RTST) on heart sound is presented. In the first part it is shown that the phonocardiogram signal (PCG) could be detected using an electronic circuit along with the DSP (TMS320C6713) processor from human heart. In the second part reduction of PCG signal and analysis of PCG signal have been shown using different digital signal processing techniques like Decimation, Interpolation, Windowing, Discrete Fourier Transform, Fast Fourier Transforms etc. In this work we have applied the Multi-rate Signal Processing Technique to reduce the size of the heart sound signal. The MSPT deals with different sampling frequencies. The challenging part of this work is to apply the DSP KIT to achieve the heart sound data and to apply the different signal processing techniques to reach the goal. An electronic circuit is designed and implemented along with a stethoscope to receive the heart sound signal (PCG signal) from the human heart. The DSP KIT is incorporated to proceed to the main work. The task has been completed through taking near about 20 person's real time heart sound samples (PCG samples).