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This document describes a simulation study done using COMSOL Multiphysics to design a nanosensor for detecting blood glucose levels. A 2D axisymmetric model of the sensor embedded in a blood medium is created. Pressure acoustics and piezoelectric device physics are applied. Meshing and frequency domain analysis are performed to study the acoustic pressure, displacement, and electric potential at different eigenfrequencies. The results are intended to help optimize sensor design for non-invasively monitoring blood glucose levels. Further studies incorporating additional factors like stress and strain distribution are suggested to more accurately detect glucose concentration in blood.
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![Shobha.Bawiskar et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1395-1397
RESEARCH ARTICLE
www.ijera.com
OPEN ACCESS
Detecting Pressure from Aqueous-Blood Medium Using
Simulated Tool
Shobha. Bawiskar1, Ramesh. Manza2
1
2
Vasantrao Naik Mahavidyalaya , Aurangabad, (M.S)
Department of Computer Science & IT, Dr.BAMU, Aurangabad (M.S)
Abstract
Technology is getting more advanced to give comfort life to every individual. One major problem faced by over
worldwide is Diabetics. If earlier detected then precautions can be taken by self monitoring and controlling
actions. Research is going on to have painless technique for detection of Diabetics. For this purpose many
simulating software’s like COMSOL Multiphysics, Intellisuite, Coventorware, ELMER, AnSys, MEMSCAD,
MEMSPRO etc…are present for design nanosensor. This article makes use of COMSOL Multiphysics version
4.3a. Aims to detect pressure, displacement in blood medium.
I. Introduction
WHO studies ha reveal that today maximum
people are death due to Diabetes. Hence self
monitoring and leading a healthy life is target today.[24]MEMS is one such leading domain which is used in
Automotive, eletronics, Medical, communication
,defense etc. here we aim for medical application to
design Nano sensor to detect blood glucose in
blood.[5,6]
COMSOL Multiphysics is a tool which
provides an excellent platform that allows us to
examine all physics within one easy-to-use
environment and optimize system operations before we
start building prototypes. This provides simulating
environment facilitates all steps of modeling process –
[0]
Generalize Algorithm can be illustrated as follows:Step1: Defining Global Definitions
Step2: Modeling (repeat step 3 to 6)
Step3: Geometry
Step4: adding materials
Step5: adding required physics
Step6: Meshing
Step7: Studying
Step8: Results.
studies frequency domain and Eigen frequency is
considered. Materials are considered as blood aqueous
medium and piezoelectric Barium titanate[BT]is used
in devices. Geometrical structure is shown in Fig1.
Domain analysis is shown in Fig2: i.e. blood medium
and Fig 3: Pressure Acoustics, Frequency Domain..
Piezoelectric material is shown in Fig: 4
Fig:1 Geometrical structure.
II. Experimental work
Use of COMSOL Multiphysics version4.3a is
used for studying the factors that affect Glucose level
in blood. various affecting factors are pressure, stress,
strain, velocity/speed of blood flow, fluid structure
interaction, laminar
flow, acoustic pressure
,temperature,etc in this articles few of above factors
will be seen.
In this article 2-D axis- symmetric model
geometry is consider. [1]Physics that had added in this
design are combination of Pressure Acoustics,
Frequency Domain and Piezoelectric Devices. And for
www.ijera.com
Fig2:Blood Medium
1395 | P a g e](https://image.slidesharecdn.com/hz3613951397-131219222005-phpapp01/85/Hz3613951397-1-320.jpg)
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advance of scientific knowledge and engineering practice.
Numerical simulation enables the study of complex systems and
natural phenomena that would be too expensive or dangerous, or
even impossible, to study by direct experimentation. The quest
for ever higher levels of detail and realism in such simulations
requires enormous computational capacity, and has provided the
impetus for dramatic breakthroughs in computer algorithms and
architectures. Due to these advances, computational scientists
and engineers can now solve large-scale problems that were once
thought intractable. Computational science and engineering
(CSE) is a rapidly growing multidisciplinary area with
connections to the sciences, engineering, and mathematics and
computer science. CSE focuses on the development of problemsolving
methodologies and robust tools for the solution of
scientific and engineering problems. We believe that CSE will
play an important if not dominating role for the future of the
scientific discovery process and engineering design. The
computation science is now being used widely for environmental
engineering calculations. The behavior of environmental
engineering systems and processes can be studied with the help
of computation science and understanding as well as better
solutions to environmental engineering problems can be
obtained.
3-D WAVELET CODEC (COMPRESSION/DECOMPRESSION) FOR 3-D MEDICAL IMAGES
This document summarizes a research paper that analyzes the performance of 3D wavelet encoders for compressing 3D medical images. It tests four wavelet transforms (Daubechies 4, Daubechies 6, Cohen-Daubechies-Feauveau 9/7 and Cohen Daubechies-Feauveau5/3) combined with three encoders (3D SPIHT, 3D SPECK, and 3D BISK). Magnetic resonance images and X-ray angiograms are used as test images, with slices grouped into sets of 4, 8 and 16 slices. Performance is evaluated based on peak signal-to-noise ratio and bit rate to identify the best wavelet transform
Impedance Cardiography Filtering Using Non-Negative Least-Mean-Square Algorithm
In general using several signal acquisition methods are applied to get cardio-impedance signal to analyse
the cardiac output. The analysis completely based on frequency information obtained after applying
frequency selection filters and frequency shaping filters. Here proposing a constructive approach involves
a developed Non-Negative LMS (NNLMS) followed by filtering techniques to measure and overcome the
limitations of commonly used approaches. The proposed technique performance is analysed by considering
different types of noise environments like fundamental one white noise and also sum of sinusoidal noise.
The simulation results are useful to measure the performance and accuracy under different noise
environments also a comparative analysis is done with the proposed work with existing methods under
different performance metrics by the help of quantitative analysis of algorithms. Simulation results are
found to be satisfactory in the analysis of cardiac output.
DonatiF_PhDThesisPresentation
1) The document summarizes the doctoral thesis of a candidate studying non-invasive relative pressure estimation using 4D phase-contrast MRI.
2) It motivates the research by describing limitations of current invasive and non-invasive techniques for estimating pressure and establishes the objective of developing an accurate non-invasive method.
3) The research is described as developing and validating several computational methods (Poisson Pressure Equation, Stokes-enhanced Poisson, Work-Energy) to estimate relative pressure maps directly from MRI velocity data in order to overcome limitations of prior approaches like assumptions, computational costs, and sensitivity to noise and boundaries.
The Development of Computational Fluid Dynamic Models for Studying the Detect...
This thesis presents research on developing computational fluid dynamic (CFD) models to non-invasively predict pressure drops in the aorta for patients with aortic coarctation. The research involved segmenting aortic geometries from medical images, generating 3D meshes, setting boundary conditions from flow and pressure data, and running CFD simulations. The models were validated against clinical data. A processing workflow was designed and implemented in five stages: image loading, segmentation, meshing, boundary conditions, and simulation. Efforts were made to model coarctation geometries and account for branches and collaterals. The results provide physically accurate details to supplement clinical images for diagnosing this disease.
A novel hybrid method for the Segmentation of the coronary artery tree In 2d ...
The document describes a novel hybrid method for segmenting the coronary artery tree in 2D angiograms. The method uses a combination of region growing and differential geometry. It first applies contrast enhancement using CLAHE. Then it performs region growing starting from user-selected seed points. A vessel resemblance function is used to automatically select additional seed points. Connected components analysis is used to identify the main coronary artery tree. Evaluation on a database shows the method identifies around 90% of the coronary artery tree on average.
Comparison of signal smoothing techniques for use in embedded system for moni...
Paper about the comparison between some signal smoothing techniques for use in an embedded system responsible for monitoring the biofuels quality, specificaly the oxidative stability.
OFCS: Optimized Framework of Compressive Sensing for Medical Images in Bottle...
Compressive sensing is one of teh cost effective solution towards performing compression of heavier form of signals. We reviewed the existing research contribution towards compressive sensing to find that existing system doesnt offer any form of optimization for which reason the signal are superiorly compressed but at the cost of enough resources. Therefore, we introduce a framework that optimizes the performance of the compressive sensing by introducing 4 sequential algorithms for performing Random Sampling, Lossless Compression for region-of-interest, Compressive Sensing using transform-based scheme, and optimization. The contribution of proposed paper is a good balance between computational efficiency and quality of reconstructed medical image when transmitted over network with low channel capacity. The study outcome shows that proposed system offers maximum signal quality and lower algorithm processing time in contrast to existing compression techniuqes on medical images.
IJSRED-V1I2P7
This document compares different methods for measuring respiratory rate (RR) including using status sensors, infrared imaging sensors, and pressure sensors. It first reviews current RR measurement techniques using contact sensors like electrical impedance sensors and pressure sensors or non-contact sensors like infrared imaging and fiber Bragg grating sensors. It then describes testing RR using a status sensor (MPU-6050) that measures acceleration, an infrared imaging sensor, and commercial pressure sensors. It discusses signal processing methods like the quaternion-based filter, Kalman filter, and zero-crossing test that can be applied to the sensor signals to determine RR. Results show the feasibility of using the status sensor and infrared imaging sensor for RR measurement compared to commercial pressure sensors.
Bv34442446
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Soc nanobased integrated
Smart nanotechnology materials have been recently utilized in sensing applications. Carbon
nanotube (CNT) based SoC sensor systems have potential applications in various fields,
including medical, energy, consumer electronics, computers, and HVAC (heating, ventilation,
and air conditioning) among others. In this study, a nanotechnology multisensory system was
designed and simulated using Labview Software. The mathematical models were developed for
sensing three physical quantities: temperature, gas, and pressure. Four CNT groups on a chip
(two for gas sensor, one for temperature, and a fourth one for pressure) were utilized in order to
perform sensing multiple parameters. The proposed fabrication processes and the materials
used were chosen to avoid the interference of these parameters on each other when detecting
one of them. The simulation results were translated into analog voltage from Labview software,
transmitted via Bluetooth network, and received on desktop computers within the vicinity of the
sensor system. The mathematical models and simulation results showed as high as 95%
accuracy in measuring temperature, and the 5% error was caused from the interference of the surrounding gas. Within 7% change in pressure was impacted by both temperature and gas interference.
The Effect of Kronecker Tensor Product Values on ECG Rates: A Study on Savitz...
This article presents a study on ECG signal filtering algorithms to denoise signals corrupted by various types of noise sources. The study also examines the effect of Kronecker tensor product values on ECG rates. The study is conducted in a Matlab environment, and the results demonstrate that a constant number for the respective codes can effectively denoise ECG signals without any trouble. These findings have significant implications for diagnosing abnormal heart rhythms and investigating chest pains. The present study is novel in that it explores the relationship between ECG rate and Kronecker delta values across different age groups, which has not been extensively studied in previous literature. The study's unique contribution is the determination of age-specific values of the constant K required to represent this relationship accurately in different populations, which could inform the development of more effective algorithms for denoising ECG signals in clinical settings. Additionally, this study's finding of an inverse relationship between ECG rate and Kronecker delta values could have broader implications for understanding the physiological factors that contribute to variability in ECG measurements. The study provides valuable insights into ECG signal processing and suggests that the implemented techniques can improve the accuracy of ECG signal analysis in real-time clinical settings. Overall, the manuscript is a valuable contribution to the field of biomedical signal processing and provides important information for researchers and healthcare professionals.
I041214752
This document presents a study on using an artificial neural network (ANN) and multi-sensor data to predict toxic gases. Researchers developed a multi-layer perceptron (MLP) neural network model using backpropagation to predict hydrogen sulfide, nitrogen dioxide, and their mixture using data from intelligent gas sensors. The network was trained on 160 samples and tested on the remaining 20 samples. Results showed the model with one hidden layer of 75 nodes achieved high prediction accuracy, approving the robustness of the developed ANN model for electronic nose prediction in challenging conditions like low gas concentrations and complex gas mixtures.
ISMRM_2006-2015_compressed
This document describes a study using a single 3D multi-echo gradient-recalled echo (ME-GRE) MRI sequence, both before and after injection of the contrast agent ferumoxytol, to generate multiple image contrasts of the human brain. The sequence was able to produce R2* maps, field maps, susceptibility-weighted imaging, time-of-flight angiography, and quantitative susceptibility maps from a single 5 minute 44 second scan. Preliminary results in a pediatric patient show the potential of this approach to provide complementary anatomical and vascular information from a single efficient scan.
STUDY ON CEREBRAL ANEURYSMS: RUPTURE RISK PREDICTION USING GEOMETRICAL PARAME...
We modeled an SVM radial classification machine learning algorithm to determine the ruptured and unruptured risk of saccular cerebral aneurysms using 60 samples with 6 predictors as the gender, the age, the Womersley number, the Time-Averaged Wall Shear Stress (TAWSS), the Aspect Ratio (AR) and the bottleneck of the aneurysms, considering real cases of patients. We reconstructed computationally each geometry from an angiography image to realize a CFD simulations, where the TAWSS was computed by CFD analysis. A cross validation method was used in the training sample to validate the classification model, getting an accuracy of 92.86% in the test sample. This result may be used to help in medical decisions to avoid a complicated operation when the probability of rupture is low.
Review on Mesothelioma Diagnosis
This document reviews different machine learning methods for classifying malignant mesothelioma using a dataset of 324 patient records. It evaluates the performance of support vector machine (SVM), decision tree, neural network, bagging, and AdaBoost in terms of classification accuracy and computational time. SVM with a linear kernel, decision tree, and bagging using decision trees achieved the highest accuracy of 100% across different training set sizes. However, bagging had longer computational time than SVM and decision tree. Therefore, the document concludes that SVM with a linear kernel or decision tree would be the best methods for classifying malignant mesothelioma, especially for large datasets, due to their high accuracy and low computational time.
Icbme2020- Use of neural network algorithms to predict arterial blood gas ite...
Use of neural network algorithms to predict arterial blood gas items in trauma victims
Milad Shayan
Mohammad Sabouri
Dr. Shahram Paydar
Leila Shayan
ACRRL
Applied Control & Robotics Research Laboratory of Shiraz University
Department of Power and Control Engineering, Shiraz University, Fars, Iran.
27th National and 5th International Conference of Biomedical Engineering
https://sites.google.com/view/acrrl/
http://icbme.ir/
Calibration of A Five-Hole Probe in Null and Non-Null Technique
This document summarizes the calibration of a five-hole pressure probe using both null and non-null techniques. The non-null technique develops an algorithm that utilizes a database of calibration data and interpolation to determine flow properties without needing to physically align the probe. The non-null method was found to be superior to the null method in ease of use and accuracy of flow measurement prediction. Key aspects of the non-null technique include dividing the calibration zone into sectors based on the highest pressure reading, developing regression models with calibration coefficients for each sector, and using a least squares approach to determine the coefficients.
A fully integrated temperature compensation technique for piezoresistive pres...
This document describes a technique for fully integrating temperature compensation into piezoresistive pressure sensors. It presents a sensor model used to evaluate temperature and pressure characteristics with variations from the fabrication process. The technique aims to compensate for errors from a sensor's inherent cross-sensitivity to temperature and processing variations between sensors, allowing operation from -40°C to 130°C over a pressure range of 0-310 kPa. Hardware is specified to implement the technique, and an analysis discusses its effectiveness over the desired operating conditions.
An insight in Eacvi-Ase-Industry Initiative to Standardize Deformation Imaging
Deformation imaging, based on Speckle Tracking techniques, is
a promising technology for the evaluation and quantification of
cardiac mechanics. In particular, during the last decade , a growing
body of scientific evidences has shown that this technology,
can provide incremental information in many clinical settings1,2,3.
However, still the main drawback for a fully clinical exploitation
of the technique is nowadays represented by the perception that
global strain measurements differ between vendors. Reasons for
this potential difference could be found in the different tracking
algorithms, differences in values definition as well as the underestimation
of the impact that some imaging acquisition parameters,
such as the images acquisition FR, Telediastolic triggering
frame positioning, may have on the final results.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Hz3613951397
- 1. Shobha.Bawiskar et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1395-1397 RESEARCH ARTICLE www.ijera.com OPEN ACCESS Detecting Pressure from Aqueous-Blood Medium Using Simulated Tool Shobha. Bawiskar1, Ramesh. Manza2 1 2 Vasantrao Naik Mahavidyalaya , Aurangabad, (M.S) Department of Computer Science & IT, Dr.BAMU, Aurangabad (M.S) Abstract Technology is getting more advanced to give comfort life to every individual. One major problem faced by over worldwide is Diabetics. If earlier detected then precautions can be taken by self monitoring and controlling actions. Research is going on to have painless technique for detection of Diabetics. For this purpose many simulating software’s like COMSOL Multiphysics, Intellisuite, Coventorware, ELMER, AnSys, MEMSCAD, MEMSPRO etc…are present for design nanosensor. This article makes use of COMSOL Multiphysics version 4.3a. Aims to detect pressure, displacement in blood medium. I. Introduction WHO studies ha reveal that today maximum people are death due to Diabetes. Hence self monitoring and leading a healthy life is target today.[24]MEMS is one such leading domain which is used in Automotive, eletronics, Medical, communication ,defense etc. here we aim for medical application to design Nano sensor to detect blood glucose in blood.[5,6] COMSOL Multiphysics is a tool which provides an excellent platform that allows us to examine all physics within one easy-to-use environment and optimize system operations before we start building prototypes. This provides simulating environment facilitates all steps of modeling process – [0] Generalize Algorithm can be illustrated as follows:Step1: Defining Global Definitions Step2: Modeling (repeat step 3 to 6) Step3: Geometry Step4: adding materials Step5: adding required physics Step6: Meshing Step7: Studying Step8: Results. studies frequency domain and Eigen frequency is considered. Materials are considered as blood aqueous medium and piezoelectric Barium titanate[BT]is used in devices. Geometrical structure is shown in Fig1. Domain analysis is shown in Fig2: i.e. blood medium and Fig 3: Pressure Acoustics, Frequency Domain.. Piezoelectric material is shown in Fig: 4 Fig:1 Geometrical structure. II. Experimental work Use of COMSOL Multiphysics version4.3a is used for studying the factors that affect Glucose level in blood. various affecting factors are pressure, stress, strain, velocity/speed of blood flow, fluid structure interaction, laminar flow, acoustic pressure ,temperature,etc in this articles few of above factors will be seen. In this article 2-D axis- symmetric model geometry is consider. [1]Physics that had added in this design are combination of Pressure Acoustics, Frequency Domain and Piezoelectric Devices. And for www.ijera.com Fig2:Blood Medium 1395 | P a g e
- 2. Shobha.Bawiskar et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1395-1397 www.ijera.com Domain 1 shows the liquid blood mediun in Laminar flow. Fig 3: Pressure Acoustics, Frequency Domain Table :1 Particle Evaluation Acoustic Pressure (acpr) Fig 4: Piezoelectric Devices After Modeling is completed Meshing is done. and shown in Fig5. Fig:6-Eigenfrequency=9.25901e8 Surface: Electric potential (V) Sound Pressure Level (acpr) Fig:5 Meshing: Then study is performed by using frequency domain and Eigen frequency. Accordingly the results are shown.from Fig6 to Fig11 and particle evaluation table is illustrated in Table1: Fig7:Eigenfrequency=48507.080253+4010.877246i Surface: Sound pressure level (dB) www.ijera.com 1396 | P a g e
- 3. Shobha.Bawiskar et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.1395-1397 Acoustic Pressure, 3D (acpr) Fig8:Eigenfrequency=48507.080253+4010.877246i Surface: Total acoustic pressure field (Pa) Sound Pressure Level, 3D (acpr) www.ijera.com Potential, 3D (pzd) Fig11:Eigenfrequency=1.400696e9 Surface: Electric potential (V) III. Conclusion In this article the results are based on factors of acoustic pressure, displacement-With respect to Eigen frequencies. Many other factors are to consider for exactly detecting glucose level in blood. Further articles will deal the other factors like stress, strain, density on blood medium which can affect glucose level in blood. Fig9:Eigenfrequency=48507.080253+4010.877246i Surface: Sound pressure level (dB) Displacement (pzd) References [1] COMSOL Multiphysics-product booklet2011 pg.no-9,14] [2] P. Pattnaik, S. K. Pradhan, S. K. Kamilla, Debi Prasad Das” Studies of Lead Free PiezoElectric Materials Based Ultrasonic MEMS Model for Bio Sensor”Except from proceeding 2012COMSOL conference in Banglore. [3] V. Mohan et.al. “Epidemiology of type 2 diabetes: Indian scenario”, Indian Journal of medical Research, 125, March, pp 217-230 (2007) [4] Sarah Wild et. A. l “Global Prevalence ofDiabetes, Diabetic Care, 27, No 5, (2004). [5] J. Diamond, “Diabetes in India”, Nature, 26, pp 478-479, (2011). [6] Memscap,http://www.memscap.com [7] Prime Faraday Techonolgy watch-Jan 2002”An introduction to MEMs’ISMn-184402-020-7.pg.no-1-29,42-43. Fig10:Eigenfrequency=48507.080253+4010.877246i Surface: Total displacement (µm) www.ijera.com 1397 | P a g e