Biomedical Engineering Research Papers/Topics

Design For Real Time Heart Sounds Recognition System

ABSTRACT Auscultation is a technique, in which Physicians used the stethoscope to listen to patient’s heart sounds in order to make a diagnosis. However, the determination of heart conditions by heart auscultation is a difficult task and it requires special training of medical staff. On the other hand, in primary or home health care, when deciding who requires special care, auscultation plays a very important role; and for these situations, an ‘‘intelligent stethoscope’’ with decis...

Design of an Online Medical Devices Tender Logistics Management Information System (DOMDTLMIS)

Abstract Medical device is the key factor in making decision for patients; it is an important component in healthcare system, the development of new medical technologies can improve its ability of diagnoses and treatment. One of the most important steps of medical device life cycle is procurement and logistics which is regulated by federal ministry of health (FMOH). The most serious problem that encounters the tender procurement process in Sudan is that it is still paper based system. The me...

Quantitative Evaluation Of Breast Lesion Based On Ultrasound Elastography

Abstract Quantitative elastography is a non-invasive imaging technique that studies the elastic properties of the tissue when force is applied, and gives quantitative information about it. In this research the present work was performed using static deformation on a breast mimic ultrasound phantom. Strain images are constructed from the measured radio frequency (RF) ultrasound signals. The mean strain is recovered from stiffer segmented lesion and from nearby normal tissue, and then compute ...

Early Detection Of Stomach Pain Using Reflexology

Abstract Pain detection using a quick response method is considered an important point that must be considered especially for emergency medicine. This project presents new technique that records the myoelectrical activity of the stomach, which is effective due to its non-invasive nature and its correlation with gastric motility .The procedure was simulated with the aid of MATLAB 7.8 to generate a reference signal and another signal to indicate to the patient’s signal by using signal proces...

Classification System For Heart Sounds Based On Random Forests

Abstract In the last century, cardiovascular illnesses are the first death cause in developed countries. For this reason, many efforts have been made in order to develop sophisticated techniques for the early diagnoses of cardiac disorders. The Phonocardiogram (PCG) signals contain very useful information about the condition of the heart. By analyzing these signals, early detection and diagnosis of heart diseases can be done. It is also very useful in the case of infants, where ECG recording...

Design Of Management Programme For A Clinical Engineering Department

Abstract Clinical engineering using of biomedical engineering in the health institutions in order to provide excellent health services by adjusting the purchase of equipment and their uses and maintenance standards. The goal of the project is to design a program that helps in the management and organization the department of clinical engineering in health institutions. The project was accomplished using micro soft access programming language. The program depends on the inventory of the devic...

Design An Expert System For The Diagnosis Of Pulmonary Tuberculosis

Abstract Pulmonary tuberculosis (PTB) is a common worldwide infection and a medical and social problem causing high mortality and morbidity, especially in developing countries. An expert system for diagnosis of this disease was designed based on expert’s knowledge for providing decision support platform to assist fresh graduator (inexperienced) physicians, and other healthcare practitioners to arrive the final diagnosis of TB more quickly and efficiently especially in rural areas. Informat...

Detection of breast cancer using artificial neural networks (ANN)

Abstract The aim of this project is to design and implement a Matlab based image processing software to extract features of breast cancer images in order to classify disease through neural network in order to examine system accuracy by comparing two techniques of neural networks, feed-forward and back-propagation neural networks. After simulation it was found that the feed forward neural network results are approximately same as the results of back propagation neural network, but from the acc...

Prediction of Kidney Failure Using Artificial Neural Networks

This research intents to assess the application of artificial neural network in predicting the kidney failure disease. Kidney failure disease is being observed as a serious challenge to the field of medical with its impact on a mass population of the world. This work explored and analyzed the data generated from 60 kidney patients in many hospitals and hemodialysis centers using data mining technique . This is done by using Artificial Neural Network technique to select the weight, and ...

Design of detector for vaccines container based on gold nanoparticles

Vaccines container detector based on gold nanoparticles was synthesized according to plant seeds extract method which is simple, efficient, economic and environmentally In this study two types of seeds were used to produce gold nanoparticles: black seed (Nigella sativa) and fenugreek seed (Trigonella foenum graecum) extracts as reducing agent to reduction of gold precursor of Au+3 (HAuCl ) to Au 0 in the presence of a stabilizer (Gum Arabic) which keeps nanoparticles apart, thus avoid...

Detection of sickle Cell Disease Based on an Improved Watershed Segmentation

Sickle cell disease (SCD) is the most popular inherited blood disease, that red blood cells change its shape form circular shape to sickle shape and loses its main job which carries oxygen throughout the body. The watershed segmentation method has become highly developed for automated analysis of overlapping red blood cell microscopic images. The aim of this work is to suppress over segmentation problem which is a major drawback of the watershed algorithm. The experimental resultsshowed...

Design of Interactive cane for blind Using Microcontroller

ABSTRACT Blind people daily encounter many difficulties such as walking on the road, finding right path. In this project the interactive cane comes as a solution to enable them to identify the world around by integrate the traditional white cane with circuit consisting of microcontroller and ultrasonic sensors to detect obstacles ( forward ,above knee ) and pits .In addition there is water sensor to detect water on the ground. The result of ultrasonic sensors is alarm with different rings fo...

Heart Beat Rate Variability Analysis Using Statistical Methods

ABSTRACT Heart Rate Variability (HRV) Represent one of the most promising markers which represent anon invasive way of measuring autonomic nervous system(ANS), it describes the variation over time of both instantaneous heart rate and the interval between consecutive heart beats. Previously traditional methods had been used for calculating heart beat as using hand with time , and after the appearance of the new method and devices those depend on computer program the HRV analysis become more ea...

Noise Reducing Using Hybrid Technique In Magnetic Resonances Image

Abstract: Several new techniques are developed within the previous couple of years that convalesce results on special filters by take away the noise additional with success whereas protective the sides within the information .Image de-noising plays an important role in satellite communication and signal processing applications. In this research , I suggest an median filter ,NLmeansfilter ,Total Variation (TV) ,Hybrid Median Filtering (hmedian), Speckle Reducing Anisotropic Diffusion Filterin...

Detection Of Liver Diseases In Computed Tomography Scan Images Using Artificial Neural Networks

ABSTRACT Liver is one of the most important organ in the human body, it performs a variety of vital functions. Liver cancer is a pathological disorder of the human that affects around 50 million people worldwide. The early detection and diagnosis of liver cancer is very important to facilitate the treatment process. The objective of this study is to design and develop an automated system for liver CT images diagnosis as normal or abnormal to help physicians in their diagnosis and treatment p...


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