Wavelet-based adaptive denoising of phonocardiographic records

Varady, P.

doi:10.1109/iembs.2001.1020582

Cited by 40 publications

(18 citation statements)

References 5 publications

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“…Varady (2001) presented a wavelet-based denoising method for phonocardiographic signals using two-channel signal recording and an adaptive cross-channel coefficient thresholding technique [12]. Messer et al (2001) attempted to answer about which wavelet families, levels of decomposition, and thresholding techniques best removes the noise in a PCG [13].…”

Section: Introductionmentioning

confidence: 99%

Design Methodology of a New Wavelet Basis Function for Fetal Phonocardiographic Signals

Chourasia¹,

Tiwari²

2013

The Scientific World Journal

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Fetal phonocardiography (fPCG) based antenatal care system is economical and has a potential to use for long-term monitoring due to noninvasive nature of the system. The main limitation of this technique is that noise gets superimposed on the useful signal during its acquisition and transmission. Conventional filtering may result into loss of valuable diagnostic information from these signals. This calls for a robust, versatile, and adaptable denoising method applicable in different operative circumstances. In this work, a novel algorithm based on wavelet transform has been developed for denoising of fPCG signals. Successful implementation of wavelet theory in denoising is heavily dependent on selection of suitable wavelet basis function. This work introduces a new mother wavelet basis function for denoising of fPCG signals. The performance of newly developed wavelet is found to be better when compared with the existing wavelets. For this purpose, a two-channel filter bank, based on characteristics of fPCG signal, is designed. The resultant denoised fPCG signals retain the important diagnostic information contained in the original fPCG signal.

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Section: Introductionmentioning

confidence: 99%

Design Methodology of a New Wavelet Basis Function for Fetal Phonocardiographic Signals

Chourasia¹,

Tiwari²

2013

The Scientific World Journal

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“…Where H [ ] is Hilbert transform of x (n) which gives 90 0 phase shift to the original signal [1], [3].…”

Section: A Mathematical Model Of Heart Soundmentioning

confidence: 99%

“…It carries a lot of information of heart [1]. For a newborn baby these sounds are very much clean though lung sounds are mixed with heart sound and it appears as noise or murmurs.…”

Section: Introductionmentioning

confidence: 97%

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A low cost non-invasive digital signal processor based (TMS320C6713) heart diagnosis system

Mandal¹,

Chattopadhyay²,

Mishra

2012

2012 1st International Conference on Recent Advances in Information Technology (RAIT)

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In this paper a novel scheme has been developed to interpret and analyze the heart sound properly so that it can be taken as a heart diagnosis system. For this purpose a preamplifier circuitry is introduced for data acquisition and the DSP KIT (TMS320C6713) is used for data collecting, processing, analyzing and displaying it completely. The DSP starter kit also provides data saving option in PC. After acquiring heart sound data in PC, discrete wavelet transformations at different level are perform to remove the internal noise and to reconstruct the de-noised heart sound signal. Finally, to find out heart disease symptoms, the nature of heart sound components like M1, T1 of S 1 and A2, P2 of s2 are detected using the end point detection technique which is the novelty of this project. MATLAB has been used to study various results related to the heart sound components, their locations, durations, frequencies present, length of cardiac cycle, presence of murmurs etc. In this present work more than fifteen (15) heart sound sample from different persons were examined successfully.

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“…b) Noise Channel: In fetal phonocardiographic measurement, ambient noise creates major problem at signal processing stage [17,18]. To overcome this problem, special signal processing techniques are used in this study, which require a primary sample of the noise, creating disturbance in the signal of interest.…”

Section: Detection and Recording Module (Drm)mentioning

confidence: 99%

Development of a low cost fetal heart sound monitoring system for home care application

Mittra¹,

Choudhari²

2009

JBiSE

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Variations in fetal heart rate (FHR) is a potential indicator of stress on unborn in the womb of mother. In hospitals, FHR surveillance is performed by ultrasound based Doppler equipments. However, recent studies show that frequent exposure to ultrasound radiations is not recommended for the fetal well-being. Because of this and many other reasons, these instruments are not recommended for prolonged home monitoring applications. This work is focused around development of a prototype system for fetal home monitoring application. Presented system can record the abnormal FHR and alert the pregnant women to report to a physician. Recorded data is then processed by a novel methodology for deriving results of diagnostic importance. The instrument has been tested on pregnant women in the clinical environment and has gone through an extensive clinical trial at local hospitals. The results show that the technique is suitable and effective for long-term FHR home monitoring application.

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Wavelet-based adaptive denoising of phonocardiographic records

Cited by 40 publications

References 5 publications

Design Methodology of a New Wavelet Basis Function for Fetal Phonocardiographic Signals

Design Methodology of a New Wavelet Basis Function for Fetal Phonocardiographic Signals

A low cost non-invasive digital signal processor based (TMS320C6713) heart diagnosis system

Development of a low cost fetal heart sound monitoring system for home care application

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