Real-time 2D ultrasound systems are used routinely in every hospital and are a huge success both technically and commercially. This paper discusses the signal processing problems that needs to be tackled in order to move from 2D to 3D real-time ultrasound systems. The rst problem discussed is that of handling 200

Radar Signal Processing has been an interesting area of research for realization of programmable digital signal processor using VLSI design techniques. Digital Signal Processing (DSP) algorithms have been an integral design methodology for implementation of high speed application specific real-time systems especially for high resolution radar. CORDIC algorithm, in recent times, is turned out to...

Our research focuses on the use of ultrasound for medical monitoring applications. Two projects that we discuss below are ultrasonic bladder distention monitoring and emboli removal from cardiopulmonary bypass circuits. In the first topic, ultrasound signal processing methods are used to relate raw ultrasound signals to bladder fullness. Clinical tests have been completed to collect relevant bl...

The protection of data is of at most importance in the medical field to boost the telemedicine applications. There is a need of robust and secure mechanism to transfer the medical images over the Internet. The algorithm proposed in this study is the watermarking technique in the transform domain to ensure secure transfer of medical data. Using DWT transformation and substitution method, we embe...

OBJECTIVES To summarize excellent research in the field of medical sensor, signal and imaging informatics published in the year 2011. METHODS Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2012 through a manual initial selection and a peer review process to find the best paper in this domain published in 2011. RESULTS Current research...

The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition (EMD) and Hilbert transform, called Hilbert-Huang transform (HHT), is a new and powerful ...

The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and cor...

This research paper provides a viable solution for processing noise affected Electrocardiogram (ECG) signal via digital filter and transmission of ECG reception cognitive radio (CR) technology. Health assessment signals such as signal, Electroencephalogram (EEG) Electromyogram (EMG) are vital diagnosis rehabilitation human welfare among which attains prime importance due to its information on h...

Epilepsy is the most common brain diseases that cause many problems in the daily life of the patient. In most attempts to automatic detection, the attack used an EEG. In this paper, The complete data set consists of five sets recorded from normal and epileptic patients. Each set containing 100 single-channel EEG segments. Here we used first and last sets (A and E). Set A consisted of segments r...