We handle MATLAB IEEE Projects for various Industries, Research Projects and Students Projects.We have mentioned below a few of the projects we are currently handling. We have successfully completed many projects. To name a few we have stated under different categories.
Our MATLAB Projects Solutions:
Industrial Solutions and Projects on Matlab.
2. Research Projects in Matlab.
3. IEEE Projects in Matlab.
4. Handle all types of projects in Matlab.
Project Title and Description
SIGNAL PROCESSING OF HEART RATE VARIABILITY
USING WAVELET TRANSFORM FOR MENTAL STRESS
This paper presents the evaluation of mental stress measurement using heart rate variability. The heart rate
signals are processed first using Fourier transform, and then it is applied to wavelet transform. The activity
of the autonomic nervous system is noninvasive studied by means of autoregressive (AR) frequency
analysis of the heart-rate variability (HRV) signal. Some methods of noise rejection and robustness for AR
recursive identification are presented that make on-line frequency analysis of the heart-rate variability
signal more reliable.
Locally Adaptive Bilateral Clustering for Image Deblurring and Sharpness Enhancement
This paper presents an integrated deblurring
and sharpness enhancement algorithm for restoration of images corrupted by mild blur and improvement of image details. The proposed algorithm is capable of capturing local image structure by adaptively clustering pixels geometric and radiometric features based on their local augmented variational series.
Exploring Whole Brain fMRI Data with Unsupervised Artificial Neural Networks
fMRI data analysis is challenging because data
are generally a modest signal embedded in a high dimensional space. We present here a method for classification and discrimination among fMRI data that is based on the Self Organizing Map (SOM) algorithm. This allows no prior selection of spatial or temporal features. We applied the method to singlesubject
and inter-subject classification.
An automated supervised method for the diagnosis of Alzheimer disease based on FMRI
We present an automated supervised method which
assists in the diagnosis of Alzheimer's Disease (AD) using fMRI data. The method consists of five stages: a) preprocessing of fMRI data to remove motion and spatial noise artifacts, b) modeling of the data using Generalized Linear Models (GLM), c)
feature extraction, d) feature selection and e) classification using majority and weighted voting schemes.
Evaluation of ECG Signals for Mental Stress
Assessment using Fuzzy Technique
This paper presents the evaluation of mental stress
assessment using heart rate variability. The activity of the autonomic nervous system (ANS) is studied by means of frequency analysis of the Electrocardiogram (ECG) signal. Spectral decomposition of the Heart
Rate Variability before smoking and after smoking was obtained. Mental stress is accompanied by dynamic changes in ANS activity. ECG signal analysis is popular for assessing the activities of autonomic nervous system.
Enhancement of Angiogram Images using Pseudo Color Processing
Noise Cancellation on ECG and Heart Rate Signals Using the Undecimated Wavelet Transform
This article describes the research carried out to
eliminate the noise found in ECG signals and cardiac rhythm. The purpose to obtain clarity and reliability in the acquiring signals which can later be interpreted by a specialist. The work is based on the use of the Undecimated Wavelet Transform (UWT). In order to get a better identification of the acquired signal the Wavelet filter D6 (Daubechies) was chosen,
primarily because its scaling function is closely related to the shape of the ECG, fitting very well with the applications
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