Research On The Stethoscope Of Fetal Heart Sound Based On Blind Signal Processing

The fetus during pregnancy, maternal and child health testing is an important process.Long-term effective monitoring of fetal monitoring, may help obstetricians determine the healthof the fetus, as early as possible to diagnose disease and improve treatment. To achieve fetalmonitoring, one should first obtain a signal reflecting the health status of the fetus. People firstthought was showing fetal heart signal. There are usually two, that is, heart sounds and ECG.Myocardial systolic and diastolic heart sounds and valve opening and closing is when theacousticsignalsproducedbyvibration,reflectingthestateofheartactivity.Accordingtothefirstheartsoundandsecondheartsoundtimeinterval,tocalculatethefetalheartrate.Based on the analysis of information maximization in the key method of maximumlikelihood method, natural gradient method, and fastica independent component analysisalgorithm and other algorithms based on the fetal heart sound signal for the biologicalcharacteristics of this paper, a relatively new single fetal heart sound signal blind sourceseparation method, the algorithm uses the EMD of fetal tone signal layer and an independentwave function, then the independent wave function to one-way mixed-signal in order to achievematernal heart sounds, murmurs, and fetal tone signal separation , is the most suitable forextractionoffetalheartsoundsignalprocessingalgorithms.In order to effectively extract the fetal tone, heart sounds through the study of informationacquisition device, the use of microcontroller hardware, independent research and one forextractionoffetalheartsoundheartsoundsignal detector.Thedetectorcanextractthefetalheartsound signal directly, and through the LCD screen to display, clear and simple; and that thedetector is also available to the user's own use, observing their own sound signal, to achieveself-monitoring purposes. The tone detector to achieve the fetal heart sound signal acquisitionandreal-timevisualanalysis,soastoprovideintelligentprocessingofheartsoundsignals,anewhardwareplatform.In order to verifyand validate the algorithm developed byfetal tone detector feasibilityandeffectiveness of the selected some of the pregnant woman, fetus regularly collected some actualsound signal, composed of a small fetal heart sound database. The database used in pregnantwomen, fetal abdominal tone detector collected a number of mixed-signal, and then use theabove method of single fetal BSS sound processing, to get the child to classify audio data inchronologicalordertherecordsstorage. The results of this study, provides a new software and hardware platform for the child toprovideintelligentprocessingaudiosignals.