基于DSP的心肺音分离系统研究
|
摘要
针对临床听诊过程中心音和肺音相互混合、频谱上相互重叠的问题,设计一种基于DSP的心肺音分离系统。心肺音传感器从胸壁采集生理声信号,送往信号采集回放电路进行放大、滤波、数字化等前期处理;DSP处理器采用基于小波变换的迭代多分辨率分解-多分辨率重构(MRD-MRR)分离算法对心肺音信号进行分离;分离后的心音和肺音通过音频输出,同时通过串口传输到计算机中备份或进行进一步处理。以此平台为基础,采集30名健康成人的胸壁生理声信号进行心肺音分离试验,结果表明,分离算法采用db8小波函数和硬阈值处理效果最好,系统实时性好,数据传输稳定可靠,具有较高的应用价值。
In allusion to the problem that the heart sounds and lung sounds are mixed and also overlapped in the spectrum during the clinical auscultation process,a heart and lung sound separation system based on DSP is designed. The heart and lung sound sensor collects physiological sound signals from the chest wall,which are sent to the signal acquisition and playback cir-cuit for amplification,filtering and digitalization. In the DSP processor,the iterative multi-resolution decomposition and multi-resolution reconstruction(MRD-MRR) separation algorithm based on the wavelet transform is used to separate the heart and lung signals. The separated heart and lung sounds are output by means of audios,and transmitted to the computer via the serial port for backuping or further processing. On the basis of the platform,a heart and lung sound separation experiment was carried out by using the physiological sound signals collected from the chest walls of 30 healthy adults. The results show that the separa-tion algorithm has the best processing effect when using the db8 wavelet function and hard threshold,and the system has a good real-time performance,stable and reliable data transmission,and a high application value.
In allusion to the problem that the heart sounds and lung sounds are mixed and also overlapped in the spectrum during the clinical auscultation process,a heart and lung sound separation system based on DSP is designed. The heart and lung sound sensor collects physiological sound signals from the chest wall,which are sent to the signal acquisition and playback cir-cuit for amplification,filtering and digitalization. In the DSP processor,the iterative multi-resolution decomposition and multi-resolution reconstruction(MRD-MRR) separation algorithm based on the wavelet transform is used to separate the heart and lung signals. The separated heart and lung sounds are output by means of audios,and transmitted to the computer via the serial port for backuping or further processing. On the basis of the platform,a heart and lung sound separation experiment was carried out by using the physiological sound signals collected from the chest walls of 30 healthy adults. The results show that the separa-tion algorithm has the best processing effect when using the db8 wavelet function and hard threshold,and the system has a good real-time performance,stable and reliable data transmission,and a high application value.
引文
[1]黄梅,刘洪英,皮喜田,等.计算机辅助诊断的新型电子听诊器系统[J].中国医疗器械杂志,2017,41(3):161-165.HUANG Mei,LIU Hongying,PI Xitian,et al.Computer-aided diagnosis and new electronic stethoscope[J].Chinese journal of medical instrumentation,2017,41(3):161-165.
[2]CHIEN J C,HUANG M C,LIN Y D,et al.A study of heart sound and lung sound separation by independence component analysis technique[C]//Proceedings of the 28th International Conference of IEEE Engineering in Medicine and Biology Society.New York:IEEE,2006:5708-5711.
[3]邢素霞,陈天华.基于DSP的心音信号采集与分析[J].生物医学工程学杂志,2011,28(2):273-276.XING Suxia,CHEN Tianhua.The acquisition and analysis of heart sound signals based on DSP[J].Journal of biomedical engineering,2011,28(2):273-276.
[4]Texas Instruments Inc.TLV320AIC23 stereo audio CODEC,8-to 96-kHz,with integrated headphone amplifier[EB/OL].[2002-05-01].http://www.ti.com/lit/ds/symlink/tlv320aic23.pdf.
[5]Texas Instruments Inc.TMS320VC5509A fixed-point digital signal processor data manual[EB/OL].[2008-01-15].http://www.ti.com/lit/ds/symlink/tms320vc5509a.pdf.
[6]余辉,姜博畅,刘雁飞,等.基于小波收缩的心音降噪最优化分析[J].电子测量与仪器学报,2017,31(3):383-388.YU Hui,JIANG Bochang,LIU Yanfei,et al.Optimization analysis of noise reduction in heart sound based on wavelet shrinkage[J].Journal of electronic measurement and instrumentation,2017,31(3):383-388.
[7]秦国瑾,吴昭萍,王馨平,等.基于小波变换的呼吸音降噪新方法研究[J].现代电子技术,2016,39(3):18-22.QIN Guojin,WU Zhaoping,WANG Xinping,et al.Research on wavelet transform based new denoising methods for respiratory sound[J].Modern electronics technique,2016,39(3):18-22.
[8]HADJILEONTIADIS L J,PANAS S M.Separation of discontinuous adventitious sounds from vesicular sounds using a waveletbased filter[J].IEEE transactions on bio-medical engineering,1997,44(12):1269-1281.
[9]高清河,刚晶,王和禹.基于平稳小波变换心音信号阈值去噪的对比分析[J].计算机与数字工程,2015,43(6):957-959.GAO Qinghe,GANG Jing,WANG Heyu.Comparison and analysis of heart sound signal threshold denoising based on stationary wavelet transform[J].Computer&digital engineering,2015,43(6):957-959.
[10]HOSSAIN I,MOUSSAVI Z.An overview of heart-noise reduction of lung sound using wavelet transform based filter[C]//Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.Cancun:IEEE,2003:458-461.
[2]CHIEN J C,HUANG M C,LIN Y D,et al.A study of heart sound and lung sound separation by independence component analysis technique[C]//Proceedings of the 28th International Conference of IEEE Engineering in Medicine and Biology Society.New York:IEEE,2006:5708-5711.
[3]邢素霞,陈天华.基于DSP的心音信号采集与分析[J].生物医学工程学杂志,2011,28(2):273-276.XING Suxia,CHEN Tianhua.The acquisition and analysis of heart sound signals based on DSP[J].Journal of biomedical engineering,2011,28(2):273-276.
[4]Texas Instruments Inc.TLV320AIC23 stereo audio CODEC,8-to 96-kHz,with integrated headphone amplifier[EB/OL].[2002-05-01].http://www.ti.com/lit/ds/symlink/tlv320aic23.pdf.
[5]Texas Instruments Inc.TMS320VC5509A fixed-point digital signal processor data manual[EB/OL].[2008-01-15].http://www.ti.com/lit/ds/symlink/tms320vc5509a.pdf.
[6]余辉,姜博畅,刘雁飞,等.基于小波收缩的心音降噪最优化分析[J].电子测量与仪器学报,2017,31(3):383-388.YU Hui,JIANG Bochang,LIU Yanfei,et al.Optimization analysis of noise reduction in heart sound based on wavelet shrinkage[J].Journal of electronic measurement and instrumentation,2017,31(3):383-388.
[7]秦国瑾,吴昭萍,王馨平,等.基于小波变换的呼吸音降噪新方法研究[J].现代电子技术,2016,39(3):18-22.QIN Guojin,WU Zhaoping,WANG Xinping,et al.Research on wavelet transform based new denoising methods for respiratory sound[J].Modern electronics technique,2016,39(3):18-22.
[8]HADJILEONTIADIS L J,PANAS S M.Separation of discontinuous adventitious sounds from vesicular sounds using a waveletbased filter[J].IEEE transactions on bio-medical engineering,1997,44(12):1269-1281.
[9]高清河,刚晶,王和禹.基于平稳小波变换心音信号阈值去噪的对比分析[J].计算机与数字工程,2015,43(6):957-959.GAO Qinghe,GANG Jing,WANG Heyu.Comparison and analysis of heart sound signal threshold denoising based on stationary wavelet transform[J].Computer&digital engineering,2015,43(6):957-959.
[10]HOSSAIN I,MOUSSAVI Z.An overview of heart-noise reduction of lung sound using wavelet transform based filter[C]//Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.Cancun:IEEE,2003:458-461.