Mohamed Nasor

Home ECG system: Signal processing and remote transmission

This paper describes the development and testing of a prototype home ECG (Electrocardiograph) system that obtains patients ECG signal and processes it to determine related parameters using LabVIEW software. These parameters include heart rate, PR-interval, QT-interval, ST-interval, P-wave and T-wave durations. The recorded ECG signal and related parameters are transmitted over the Internet to the remote station. The developed system was tested using simulated ECG, web-based ECG, and physically acquired ECG.

Multipurpose low cost bio-daq system for real time biomedical applications

Bio-electric signals are all kinds of electrical signals that can be measured and monitored from biological beings. These signals are of low frequency and very low voltage and are often contaminated with surrounding noise. Hence the bioelectric signal acquisition system should provide very high input impedance, very high Common Mode Rejection ratio (CMRR), high voltage gain and high selectivity. To achieve these specifications, bio-electric acquisition systems are commonly designed using precision components. Use of precision components makes the design very expensive and occasionally availability constraints of these components in the local market, makes the design more difficult. The main objective of this work is to develop a compact and cost effective bio-electric signal acquisition system for real time biomedical applications. The proposed design employs general purpose electronic components which are commonly available in any electrical lab that makes the cost of prototype around

Do women pursue programs in engineering? A case study from the United Arab Emirates

160. The system mainly consists of Op-Amp based bio-amplifier, data acquisition board and a laptop. Design examples are in the form of Electro Cardio Gram (ECG), Electro Myogram (EMG), Electroculogram (EOG) and Electro Encephalogram (EEG) acquisitions.

An algorithm for detection of arrhythmia

Widely documented studies suggest relatively low representation of women in the areas of science, technology, engineering and mathematics educational programs. Various, studies showed that even if women enroll in science and engineering educational programs, they many may not continue. Several researchers have investigated the possible reasons for such trends. Some studies have also analyzed the factors that might enhance student retention in engineering programs. In comparison, statistics from different universities in the UAE show that women comprise a significant percentage of student population in engineering programs. In the present study we used statistical data for students admitted in academic years from 2006 to 2010 to analyze the patterns of intake, attrition and retention related to women and men students in two accredited undergraduate programs. In academic years 2006 to 2010 women comprised 44% of the total intake. Until the academic year 2013-14, 23% women and 37% men aborted their programs while 77% women and 63% men were retained. From those who aborted, 85% women and 82% men did so within the first three semesters of admission. The study suggests that women comprised a significant percentage of the total student population in the engineering programs analyzed. Also, a higher percentage of women continued in their engineering education. Further, early semesters appear to be critical in engineering education for both men and women groups. This deserves more attention in order to contain attrition or to enhance retention. In conclusion, based on this case study and statistics from other universities in the UAE, we might be able to say that in the United Arab Emirates women do pursue programs in engineering. Further research and efforts are required to understand, encourage and support the presence of women in engineering.

Attracting, engaging and retaining students in engineering programs — A case study

This paper presents an algorithm for Electrocardiogram (ECG) analysis to detect and classify ECG waveform anomalies and abnormalities. This is achieved by extracting various features and durations of the ECG waveform such as RR interval, QRS complex, P wave and PR durations. These durations are then compared with normal values to determine the degree and types of abnormalities. Most of the data used for this study were extracted from the MIT-BIH arrhythmia database while some data was extracted from ECG recordings acquired specifically for the purposes of this study. The paper is concluded with detailed results obtained from testing the algorithm using the ECG data.

Automated Wireless System for Individuals Requiring Continuous Remote Care

In this case study, statistical data was used from accredited undergraduate programs in electrical engineering to analyze and compare two distinct groups of students for various patterns related to program enrollment, retention and attrition. Group A (GA) students were admitted in the years 2000-2005. Group B (GB) students were admitted in the years 2006-2011. The two groups differed in terms of their program-related admission and completion requirements, curriculum design and curriculum contents. Cumulative data until the academic year 2012-13 was analyzed. The total intake for GA was 2% more than that for GB. The student retention was 46% for GA and 71% for GB. This is a significant improvement in the retention of students for GB over GA. Further, from those students who aborted their programs, 53% of the total attrition for GA and 79% for GB occurred in the first year of admission. These patterns showed similarities when analyzed for the sub-group of women students only. The analysis suggests that the retention of undergraduate engineering students could be influenced by admission and program completion requirements as well as curriculum design and contents. Further, first year students require more attention.

Factors Influencing Attrition in a Biomedical Engineering Program

This paper presents development of a wireless electronic healthcare system for automated real-time monitoring and control of patients requiring continuous care. Wireless solutions for healthcare can achieve improved patient-care at reduced cost. The system presented here utilizes mobile phones for communication as well as data transfer. Separate functions of the system allow: access to patient’s data, system generated warning calls, remote control of various patient related devices and storage of data in a central location. In addition, the system features interactive communication with the users utilizing artificial machine voice generated by speech synthesizer. Each mode of communication is password protected for security.