Projects

The goal of this project is to create a simple and comfortable method for the user to organize his music files’ database.

Competitive learning is an established branch of the general theme of unsupervised learning.

The projects goal was to develop a system that will assist a medical doctor to find problems in the heart operation.

The present project represents an exploration effort to achieve good compression of ECG signals by utilizing a transform to redundant dictionary of basis functions.

The phenomenon of fetal heart rate variability is well known in medicine.

The heart rate variability (HRV) signal represents one of the most promising markers of autonomic activity.

In the present project we designed and implemented a presence tracing system for objects in a room. The system recognizes an object and marks its location on the map of the room.

The phenomenon of fetal heart rate variability is well known in medicine. Having a fetal beat-to-beat heart rate, it is possible to make its spectral analysis.

Using an ultrasound system for imaging allows as to investigate blood flow velocity parameters. By measuring the blood flow close to the partition, we are able to detect narrowing in the vessel.

Support-Vector-Machine (SVM) is a large margin classifier that considered as robust and effective solution for classification and estimation tasks.

In this project, a method of using neural networks for setting the hearing threshold of a person is proposed.

The project goal is finding an algorithm which will improve existing techniques used to filter evoked potentials (EP) from electrical brain signals (EEG).

In this project we studied the field of stereoscopic imaging from different points of view.

What do we need computers to identify faces for ? The most common usage of such a system could be at the entrance of places such as army bases, bases, banks and other companies for security purposes.

Today there is an increasing need for an image transfer in : e-mail, internet, cellular phone and so on . Transmission rate depends on size that effected by the quality.

Today, as the Internet and cellular communication’s influence increases rapidly, there is a need of faster transfer rates of information.

With a vast amount of publicly available high-quality images, actual image databases start to emerge, and image database management methods are becoming important.

Edge Detection is one of the major problems in digital image processing.

This paper describes a technique based on the Osher and Shethian level-sets approach of recovering object's shape in ultrasound medical images.

The project deals with ultrasound images processing. It focuses on ultrasound images of premature infants’ brains.

As in other cases of dealing with images, also in medical images, like US images, we use image processing and computer vision techniques to analyze those US images for numerous tasks.

The objective of this project is to implement a smart motion detector which will control the flow of saving frames coming from the camera .

This project is a part of a research dealing with analysis of fetal Doppler echocardiogram in order to diagnose fetal stress.

Ultrasound imaging systems provide, a medical doctor with a real time imaging system, which also has spectral analysis, and flow speed metering capabilities.

Ultrasound is one of the most popular imaging modalities, utilized in medicine.

The purpose of this project was to develop a noninvasive method to detect fetal heart activity in utero.