Computer Science Department Master’s thesis discusses wireless body improvement area network using algorithms
A master’s thesis in the Department of Computer Science at the University of Technology discussed the improvement of the wireless body area network using adaptive algorithms.
The thesis presented by the student Muhammad Radi Majeed aimed to improve the performance of the WBAN sensor by addressing the sensor’s high temperature and energy consumption.
This goal is achieved by proposing adaptive algorithms, namely convolutional neural networks (CNNs) and dynamic threshold mechanisms to improve the performance and energy efficiency of WBANs.
The proposed system contains a flexible threshold that may change the tilt of the ECG sensor according to the patient’s heart rate and is designed to enter sleep mode when not in use to reduce energy use and heat production. CNNs are used to accurately adapt and sort the ECG signal, and the MIT-BIH arrhythmia dataset is used to enhance arrhythmia detection at the same time. It has been positively proven through various simulations. The researcher’s results showed a 10.53% improvement in battery life and a 5.62-fold improvement in temperature management when applying the sleep mode technique. As a result, the model reached an average ECG classification accuracy of 98%, a high level of selectivity and sensitivity to the normal type of heartbeat, and quite satisfactory results in classifying the type of arrhythmia.
These results simply prove that adaptive algorithms can enhance the performance of WBAN due to the optimal use of power consumption and the preparation of sensors. The proposal and implementation of dynamic thresholds and CNN networks represent the idea that the proposed system can provide more reliable and comfortable ways to monitor people’s health.
The discussion committee consisted of Prof. Dr. Ziyad Tariq from the University of Diyala as Chairman, Prof. Dr. Darna Farid, Dr. Rahim Abdul Sahib, members, and Dr. Israa Tahseen, supervisor, all from the University of Technology.
