Manoharbhai Patel Institute of Engineering and Technology

Gondia, India

Manoharbhai Patel Institute of Engineering and Technology

Gondia, India
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Mittra A.K.,Manoharbhai Patel Institute of Engineering and Technology
International Journal of Biomedical Engineering and Technology | Year: 2010

Foetal heart sound can be extracted from maternal abdominal surface; the technique is also known as foetal Phonocardiography (fPCG). This work investigates the analysis of foetal heart sound in time domain using a novel signal processing algorithm. An innovative approach is presented for the foetal heart sound acquisition, processing, and time domain representation, which can be used in a portable foetal home monitoring applications. The system has been tested for various real and simulated foetal heart sound signals. The outcome of the process is segmented foetal phonocardiogram along with Foetal Heart Rate (FHR) parameters viz., average FHR, standard deviation of FHR and finally the FHR trace. Copyright © 2010 Inderscience Enterprises Ltd.

Rahangdale P.K.,Bhawabhuti College | Dhote P.R.,Manoharbhai Patel Institute of Engineering and Technology | Dongapure A.C.,Shankarlal Agrawal College
Der Pharma Chemica | Year: 2016

Initially, 4-hydroxyacetophenone-biuret-trioxane (4-HABT) terpolymer was successfully synthesized, purified and characterized in the laboratory. A nanophotocatalyst, AgI-ZnO, was prepared using precipitation followed by hydrolysis method. Then, it was anchored on 4-HABT terpolymer using molecular adsorption-deposition method. The AgI-ZnO nanoparticles, deposited on the 4-HABT terpolymeric molecules, formed a coating of about 90 nm in thickness. This newly modified functional nanophotocatalytic material was characterized by means of infrared spectroscopy, X-ray diffraction and scanning electron microscopy studies. This new 4-HABT-AgI-ZnO nanophotocatalyst exhibited an excellent photocatalytic activity in the photodegradation of quite concentrated aqueous solutions of dyes. The dye molecules in bulk solution was supposed to be condensed better around AgI-ZnO particles because of the adsorption phenomenon on 4-HABT terpolymer molecules, and, therefore, the photocatalytic process was enhanced due to the combined effect of adsorption by 4-HABT terpolymer macromolecules and photocatalytic activity on AgI-ZnO. It was observed that the decolorization of contaminated water occurred within a short-time interval. Thus, it can be concluded that the functional nanophotocatalytic material, reported in this research paper, can be successfully used for water and wastewater treatments.

Jain P.K.,Center for Information and Communication Technology | Tiwari A.K.,IIT Jodhpur | Chourasia V.S.,Manoharbhai Patel Institute of Engineering and Technology
Journal of Medical Engineering and Technology | Year: 2016

This paper presents a system based on Seismocardiography (SCG) to monitor the heart sound signal for the long-term. It uses an accelerometer, which is of small size and low weight and, thus, convenient to wear. Such a system should also be robust to various noises which occur in real life scenarios. Therefore, a detailed analysis is provided of the proposed system and its performance is compared to the performance of the Phoncardiography (PCG) system. For this purpose, both signals of five subjects were simultaneously recorded in clinical and different real life noisy scenarios. For the quantitative analysis, the detection rate of fundamental heart sound components, S1 and S2, is obtained. Furthermore, a quality index based on the energy of fundamental components is also proposed and obtained for the same. Results show that both the techniques are able to acquire the S1 and S2, in clinical set-up. However, in real life scenarios, we observed many favourable features in the proposed system as compared to PCG, for its use for long-term monitoring. © 2016 Taylor & Francis

PubMed | Manoharbhai Patel Institute of Engineering and Technology, MIT Academy of Engineering and VM Institute of Engineering and Technology
Type: Journal Article | Journal: SpringerPlus | Year: 2016

The contacting surfaces subjected to progressive loss of material known as wear, which is unavoidable between contacting surfaces. Similar kind of phenomenon observed in the human body in various joints where sliding/rolling contact takes place in contacting parts, leading to loss of material. This is a serious issue related to replaced joint or artificial joint.Out of the various material combinations proposed for artificial joint or joint replacement SiIn this paper, an attempt has been made to investigate the wear loss behavior of SiAnalysis of experimental results proposes 15N load and 8% of hBN addition in Si

Chourasia V.S.,Manoharbhai Patel Institute of Engineering and Technology | Tiwari A.K.,Rajasthan MBM College Campus
The Scientific World Journal | Year: 2013

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. © 2013 Vijay S. Chourasia and Anil Kumar Tiwari.

Chourasia V.S.,Manoharbhai Patel Institute of Engineering and Technology | Tiwari A.K.,Indian Institute of Technology Jodhpur | Gangopadhyay R.,The LNM Institute of Information Technology
Applied Soft Computing Journal | Year: 2014

The assessment of fetal wellbeing depends heavily on variations in fetal heart rate (FHR) patterns. The variations in FHR patterns are very complex in nature thus its reliable interpretation is very difficult and often leads to erroneous diagnosis. We propose a new method for evaluation of fetal health status based on interval type-2 fuzzy logic through fetal phonocardiography (fPCG). Type-2 fuzzy logic is a powerful tool in handling uncertainties due to extraneous variations in FHR patterns through its increased fuzziness of relations. Four FHR parameters are extracted from each fPCG signal for diagnostic decision making. The membership functions of these four inputs and one output are chosen as a range of values so as to represent the level of uncertainty. The fuzzy rules are constructed based on standard clinical guidelines on FHR parameters. Experimental clinical tests have shown very good performance of the developed system in comparison with the FHR trace simultaneously recorded through standard fetal monitor. Statistical evaluation of the developed system shows 92% accuracy. With the proposed method we hope that, long-term and continuous antenatal care will become easy, cost effective, reliable and efficient. © 2013 Elsevier B.V. All rights reserved.

Chourasia V.S.,The LNM Institute of Information Technology | Tiwari A.K.,Indian Institute of Technology Jodhpur | Gangopadhyay R.,The LNM Institute of Information Technology | Akant K.A.,Manoharbhai Patel Institute of Engineering and Technology
Journal of Medical Engineering and Technology | Year: 2012

Foetal phonocardiography (fPCG) is a non-invasive, cost-effective and simple technique for antenatal care. The fPCG signals contain vital information of diagnostic importance regarding the foetal health. However, the fPCG signal is usually contaminated by various noises and thus requires robust signal processing to denoise the signal. The main aim of this paper is to develop a methodology for removal of unwanted noise from the fPCG signal. The proposed methodology utilizes the non-negative matrix factorization (NMF) algorithm. The developed methodology is tested on both simulated and real-time fPCG signals. The performance of the developed methodology has been evaluated in terms of the gain in signal-to-noise ratio (SNR) achieved through the process of denoising. In particular, using the NMF algorithm, a substantial improvement in SNR of the fPCG signals in the range of 12-30 dB has been achieved, providing a high quality assessment of foetal well-being. © 2012 Informa UK, Ltd.

Chourasia V.S.,Manoharbhai Patel Institute of Engineering and Technology | Mittra A.K.,Manoharbhai Patel Institute of Engineering and Technology
International Journal of Medical Engineering and Informatics | Year: 2010

Auscultation is still one of the first basic analytical tools used to evaluate functional state of the fetal heart, as well as the first indicator of fetal well-being. Its modern form is called fetal phonocardiography (fPCG). The fPCG technique is passive and can be used for long-term monitoring. In order to improve the diagnostic capabilities of fPCG, robust signal processing techniques are needed for denoising of the signals. Traditional denoising techniques apply a linear filter to remove the noise and interference from the fPCG signals. These methods have certain limitations for the non-stationary random fPCG signals. In this paper, an improved technique for denoising of fPCG signals is presented. A highly sensitive data recording module is used to acquire the fPCG signals from the maternal abdominal surface. The acquired fPCG signals are decomposed, denoised and reconstructed by utilising Matlab wavelet transform toolbox. The proposed approach improves the signal to noise ratio (SNR) of these signals. The presented technique can be used in preprocessing stage of all fPCG-based fetal monitoring applications. © 2010 Inderscience Enterprises Ltd.

Pandey D.,Manoharbhai Patel Institute of Engineering and Technology
International Journal of Renewable Energy Research | Year: 2013

The purpose of this paper is commercial evaluation of West coast geothermal resources of India. The western parts of Maharashtra State are also known as the economic back-bone of India, where in about 60% of Agro-Industrial products is being manufactured from this part. Considering this fact, it is necessary to evaluate the west coast geothermal resources for non-electric uses. To save the expense of drilling investigation, indirect methods of evaluation of reservoir are chosen. The petrological, mineralogical, geochemical and geophysical survey reports of the areas are thoroughly studied. On the basis of pre-existing data, the evaluation of the area reveals low temperature. Geochemical data reveal that, there is a marginal reduction in alkalis at 100°C, where as they registered enrichment in the resultant solution of experiments at 150°C. The chemical analysis of the basaltic gains after reaction at 175°C and 200°C indicates an increase in tempreture. On the basis of above data, the area was found to be suitable for commercial utilization of geothermal energy for non-electric uses in agricultural and industrial sectors.

Chourasia V.S.,Manoharbhai Patel Institute of Engineering and Technology | Tiwari A.K.,MBM College Campus | Gangopadhyay R.,The LNM Institute of Information Technology
Digital Signal Processing: A Review Journal | Year: 2014

In this paper, a non-invasive, portable and inexpensive antenatal care system is developed using fetal phonocardiography. The fPCG technique has the potential to provide low-cost and long-term diagnostics to the under-served population. The fPCG signal contains valuable diagnostic information regarding fetal health during antenatal period. The fPCG signals are acquired from the maternal abdominal surface using a wireless data acquisition and recording system. The diagnostic parameters e.g., baseline, variability, acceleration and deceleration of the fetal heart rate are derived from the fPCG signal. A model based on adaptive neuro-fuzzy inference system is developed for the evaluation of fetal health status. To study the performance of the developed system, experiments were carried out with real fPCG signals under the supervision of medical experts. Its performance is found to be in close proximity with the widely accepted Doppler ultrasound based fetal monitor results. The overall performance shows that the developed system has a long-term monitoring capability with very high performance to cost ratio. The system can be used as first screening tool by the medical practitioners. © 2014 Elsevier Inc. All rights reserved.

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