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abdullah-al-masud / repository
This was my thesis topic in undergrad when I tried to track the heart beats from raw ECG signals. The intention was to build a model that can perform faster, very lit and very simple and also real time. I had done this on MATLAB.
This was my thesis topic in undergrad when I tried to track the heart beats from raw ECG signals. The intention was to build a model that can perform faster, very lit and very simple and also real time. I had done this on MATLAB.
Main paper link- https://iraj.doionline.org/dx/IJIEEE-IRAJ-DOI-12859
Download pdf- http://www.iraj.in/journal/journal_file/journal_pdf/11-482-153545859339-43.pdf
If you use "Real-Time-P-QRS-and-T-Wave-Detection-by-QRS-Matched-Filter-Method" in your project, please cite the following paper
@article{masud-2018,
author = {Abdullah Al Masud},
journal = {International Journal of Industrial Electronics and Electrical Engineering(IJIEEE)},
number = {7 (Part 2)},
pages = {39--43},
title = {{REAL TIME P, QRS AND T WAVE DETECTION BY QRS MATCHED FILTER METHOD}},
url = {https://iraj.doionline.org/dx/IJIEEE-IRAJ-DOI-12859},
volume = {6},
year = {2018},
}
Selected from shared topics, language and repository description—not editorial ratings.
This repository contains the Matlab code for the lateral and longitudinal control of vehicle modeled based on the Bicycle-Model. This work was carried out by me and my colleague Suleyman as part of the smart transportation course.
This project was completed in 2018 as a part of my postgraduate studies in Biomedical Engineering
ChaitanyaKher /
This was a project that I did for my course. The project finds the direction of arrival and displays it using polar plots. If you have any queries, feel free to contact me. The codes were written using MATLAB 2017 and LabVIEW 2015
averule /
Digital image processing helps replace several mundane activities. My project in final year was ‘Application Control using Hand Gesture Recognition From 3-Dimensional Images’. We worked extensively on processing a 3-D image to recognize the encrypted gesture, with the added 3rd dimension for more number of gestures. We started with extensive image segmentation to suppress background, handle dynamic lighting conditions and extract only portion of hand from the 3-D image. A tedious task, we researched many papers on IEEE and books on Image processing, to come-up with a complex code logic involving a combination of three different segmentation techniques involving RGB, YCbCr and HSV models. Further, with mathematical calculations involving use of Eigen values and Eigen vectors were derived based on the co-variance matrix, generated as per captured image, we managed to extract maximum information. A Euclidean distance was calculated to denote the deviation of captured image from each set of pre-captured images for all defined gestures. Hectic code optimization helped save precious execution time. The gesture corresponding to minimal Euclidean distance was the identified gesture. This project acquainted me with MATLAB and I learnt about various image enhancement and image segmentation techniques. I presented a paper at IEEE’s International Conference on Convergence of Technology (I2CT), Pune, published in the journal with ISBN “978-1-4799-3759-2”.
CuriousBeluga /
This was my Robot Control project written in MATLAB. Goal was to simulate trajectory planning of an Autonomous Underwater Vehicle (AUV).
kiankhaneghahi /
This project was done as the final project of my Robust Control university course.