Wireless data acquisition system for fetal phonocardiographic signals using Bluetooth&lt;SUP align="right"&gt;&amp;trade;&lt;/SUP&gt;

Chourasia, Vijay S.; Tiwari, Anil Kumar

doi:10.1504/ijcih.2012.046997

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…This signal was recorded using a specially developed wireless data acquisition system [39]. The recording of fPCG signal was obtained in a quiet room with the help of a medical expert and a trained nurse.…”

Section: Resultsmentioning

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: Resultsmentioning

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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“…9,10 Authors of Ref. 15 These have been measured and identified by the Michelson fiber-optic interferometer in Refs. Heartbeat perception can be based on mechanical activity of cardiac muscle, the so-called ballistocardiography 12,13 or mechanocardiography, 14 or on heart sounds, the so-called phonocardiography.…”

Section: Introductionmentioning

confidence: 99%

Cost-efficient speckle interferometry with plastic optical fiber for unobtrusive monitoring of human vital signs

Podbreznik

Đonlagić

Lešnik³

et al. 2013

J. Biomed. Opt

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A cost-efficient plastic optical fiber (POF) system for unobtrusive monitoring of human vital signs is presented. The system is based on speckle interferometry. A laser diode is butt-coupled to the POF whose exit face projects speckle patterns onto a linear optical sensor array. Sequences of acquired speckle images are transformed into one-dimensional signals by using the phase-shifting method. The signals are analyzed by band-pass filtering and a Morlet-wavelet-based multiresolutional approach for the detection of cardiac and respiratory activities, respectively. The system is tested with 10 healthy nonhospitalized persons, lying supine on a mattress with the embedded POF. Experimental results are assessed statistically: precisions of 98.8% ± 1.5% and 97.9% ± 2.3%, sensitivities of 99.4% ± 0.6% and 95.3% ± 3%, and mean delays between interferometric detections and corresponding referential signals of 116.6 ± 55.5 and 1299.2 ± 437.3 ms for the heartbeat and respiration are obtained, respectively.

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“…Some of the recent developments in sensor and wireless communication techniques for PCG applications are the Bluetooth-based wireless data acquisition system for Phonocardiogram [ 27 ] and wireless medical stethoscopes [ 28 , 29 ]. These devices are developed for use with Bluetooth wireless technology.…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost, Portable, High-Throughput Wireless Sensor System for Phonocardiography Applications

Sa-ngasoongsong

Kunthong²,

Sarangan

et al. 2012

Sensors

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This paper presents the design and testing of a wireless sensor system developed using a Microchip PICDEM developer kit to acquire and monitor human heart sounds for phonocardiography applications. This system can serve as a cost-effective option to the recent developments in wireless phonocardiography sensors that have primarily focused on Bluetooth technology. This wireless sensor system has been designed and developed in-house using off-the-shelf components and open source software for remote and mobile applications. The small form factor (3.75 cm × 5 cm × 1 cm), high throughput (6,000 Hz data streaming rate), and low cost ($13 per unit for a 1,000 unit batch) of this wireless sensor system make it particularly attractive for phonocardiography and other sensing applications. The experimental results of sensor signal analysis using several signal characterization techniques suggest that this wireless sensor system can capture both fundamental heart sounds (S1 and S2), and is also capable of capturing abnormal heart sounds (S3 and S4) and heart murmurs without aliasing. The results of a denoising application using Wavelet Transform show that the undesirable noises of sensor signals in the surrounding environment can be reduced dramatically. The exercising experiment results also show that this proposed wireless PCG system can capture heart sounds over different heart conditions simulated by varying heart rates of six subjects over a range of 60–180 Hz through exercise testing.

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Wireless data acquisition system for fetal phonocardiographic signals using Bluetooth<SUP align="right">™</SUP>

Cited by 7 publications

References 29 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

Cost-efficient speckle interferometry with plastic optical fiber for unobtrusive monitoring of human vital signs

A Low-Cost, Portable, High-Throughput Wireless Sensor System for Phonocardiography Applications

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