Real time processing and analysis of fetal phonocardiographic signals

Subbareddy²,

2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

et al. 2014

FECG (Fetal Electrocardiogram) signal convey information in making timely decisions during pregnancy. It is very important to extract and detect the FECG signal from a composite maternal abdominal signals for task of fetal monitoring. We implement adaptive filters for the task of separation of FECG signal from the abdominal ECG signal and understand its nature. A Least Mean S quare (LMS ) algorithm is implemented for the purpose of detection adaptively. Data compression techniques are implemented foe the filtered ECG signal for the purpose of easy storage and transmission. S ince the data is more important and sensitive , it is necessary to implement lossless compression with high compression ratio by reducing the redundancy involved in the ECG signal with low noise. A Fast Fourier Transform, Discrete Cosine Transform (DCT), DCT-II and Discrete Sine Transform (DS T) methods are used here for the purpose of compression. The performance metrics like compression ratio, low percent mean square (PRD) are compared an d the results are tabulated by using Matlab software tool.

“…By looking at electrical signals recorded only on the body surface, a comp letely noninvasive procedure, cardiologists attempt to determine the functional state of the heart [4] [5].…”

Section: Electrocardiogram (Ecg)mentioning

confidence: 99%

A tutorial review on data compression with detection of fetal heart beat from noisy ECG

Subbareddy²,

2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

et al. 2014

WIT Transactions on Biomedicine and Health, Vol 12

“…The most common means of acquiring this data is Doppler ultrasound, with fetal scalp electrodes also often used during labor. The fetal electrocardiogram (FECG) can also be acquired using surface electrodes on the mother's abdomen, whilst the fetal magneto-cardiogram (FMCG) is detectable using SQUID magnetometers [2] and fetal phonocardiography (FPCG) also allows the heart sounds to be detected and hence FHR calculated [3]. The majority of FHR analysis is performed using a bedside monitor over a relatively short period, with the mother to be in a recumbent position.…”

Section: Fhr Monitoring Techniquesmentioning

confidence: 99%

Techniques of FECG signal analysis: detection and processing for fetal monitoring

Hasan¹,

Ibrahimy²,

Reaz³

2007

Fetal heart rate monitoring is a technique for obtaining important information about the condition of a fetus during pregnancy and labor, by detecting the FECG signal generated by the heart of the fetus. The ultimate reason for the interest in FECG signal analysis is in clinical diagnosis and biomedical applications. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies is becoming a very important requirement in fetal monitoring. The purpose of this review paper is to illustrate the various methodologies and algorithms on FECG signal detection and analysis to provide efficient and effective ways of understanding the FECG signal and its nature. A comparative study has been carried out to show the performance of various methods. This paper opens up a passage to biomedical researchers, physicians and end users to advocate an excellent understanding of FECG signal and its analysis procedures for fetal heart rate monitoring system by providing valuable information to help them in developing more dominant, flexible and resourceful applications.

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference

“…Phonocardiography is a suitable tool to test fetal well-being having been studied for years by many research laboratories, mostly due to its passive nature [1] [2]. A benefit of this is that long-term measurements, that are important because of the high variability of fetal heart activity parameters, become possible.…”

Section: Introductionmentioning

confidence: 99%

Long-term Phonocardiographic Fetal Home Monitoring for Telemedicine Systems

Kovács

Horváth

Török³

et al. 2005

A novel compact method for fetal home monitoring optimized for long data acquisition time and low communication costs is presented. The method incorporates the preprocessing of disturbed acoustic signal received on the maternal abdomen. The basic idea of the preprocessing is that the detection of the systolic and diastolic sounds takes place on two separated frequency bands with autocorrelation on predicted time intervals. Measurements on 47 selected pregnant women have shown that the use of this method significantly reduces the amount of data to be transferred to the computer centre in the hospital, where only the very disturbed time periods have to be evaluated. Based on this method a new, phonocardiographic fetal telemedicine system can be built without time limitation of measurements.