KUET Institutional Repository

Browsing Department of Biomedical Engineering (BME) by Issue Date

Browsing Department of Biomedical Engineering (BME) by Issue Date

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  • Model Based ECG Denoising Using Discrete Bionic WaveletTransform 
    Awal, Md. Abdul (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh., 2011-12)
    Electrocardiogram (ECG) is a measurement of bio-electric potential produced by rhythmical cardiac activities, contraction and relaxation of the cardiac muscle produced at sinoatrial (SA) node. This electric potential ...
  • Improvement of Medical Imaging Equipment Management System of Bangladesh 
    Hossain, Md. Anwar (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh, 2012-06)
    This thesis deals with the development of a standard Medical Imaging Equipment Management System (MIEMS) in the public hospitals of Bangladesh. Medical imaging equipment management has become an important component of ...
  • Clench Strength Prediction for Prosthesis Hand Using Surface Electromyogram 
    Mostafa, Sheikh Shanawaz (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh., 2012-09)
    Hand is the main environmental manipulator for humans. Therefore, any accidental lost of hand does a great harm in amputee life. Only choice left that he or she is using prosthesis, which is dated back to ancient time. ...
  • Cardiac Function Evaluation of Healthy Young Adults by Consuming Energy Drinks 
    Uddin, Md. Bashir (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh., 2014-03)
    Energy drink (ED) is a beverage that mainly contains some form of legal stimulants which are supposed to give consumers a short term boost in energy. It is a type of beverage containing caffeine as main stimulant, which ...
  • Determination of Muscle Activity and Work-Done Through Emg Analysis During Human Movements in Salat 
    Khanam, Farzana (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh., 2016-05)
    In this thesis, human movements during Salat (the ritual prayer of Muslim) are taken in account to observe this muscle movement patterns as exercise. Since surface electromyography (sEMG) is a proven method to observe the ...
  • Detection of Neural Activity for Cerebrovascular Disease using MRI and EEG 
    Rahman, G. M. Mahmudur (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh., 2016-08)
    (CVD) such as stroke is the leading cause of long-term disability and third most common reason of death in the world. Due to the neuronal deficiency occurred by impaired blood flow to the brain, half of the stroke patients ...
  • Study of Stimulation Effects on Different Bands of EEG Signal 
    Ghosh, Tarun Kanti (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh., 2016-09)
    Brain–computer interfaces (BCIs) are the communication bridge between the human brain and a computer which may be implemented on the basis of steady-state evoked potentials (SSEPs). A brain–computer interface is a direct ...
  • Motor Imagery Movement and Neurological Disorder Classification using Salient Features of EEG Signal 
    Rasshid, Md. Mamun Or (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh., 2017-07)
    Electroencephalography (EEG) measurement plays a significant role in the clinical and scientific research of brain studies. EEG signals are very important, particularly for classification and treatment of neurological ...
  • Detection of Angina Pectoris Using ECG Signals 
    Islam, Md. Merajul (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh, 2018-06)
    Angina pectoris due to ischemia is very crucial to detect because, if it can be detected earlier, doctor can provide the patient proper medication to cure. Sometimes from a long ECG data it is tiresome to calculate and ...
  • Classification Accuracy Enhancement of fNIR based Imagery Movement by Modified Common Spatial Pattern 
    Kabir, Md. Faisal (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh, 2019-01)
    Motor imagery event classification from functional near-infrared spectroscopy (fNIRS) is one of the most interesting problems of current brain-computer interfaces (BCIs) challenges because it needs no additional data guiding ...
  • In Silico Characterization and Homology Modeling of Histamine Receptors 
    Zobayer, Md. Nayem (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh, 2019-02)
    Histamine plays vital role in molecular mechanism of allergic reactions. Therefore, characterization and homology modeling of Histamine receptor is of great importance to design effective vaccines. In this thesis, different ...
  • Development of Multiple Class Human-Computer Interaction System using Machine Learning Algorithm for Eyeball Movement 
    Chowdhury, Mubtasim Rafid (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesht, 2019-08)
    Modern technologies in the field of Biomedical Engineering are flourishing astonishingly in recent times. Human-computer interaction (HCI) is one of the newest additions in this field. It is the study of the way people ...
  • Prediction on Ischemic Heart Disease using Machine Learning Approaches 
    Raihan, M. (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh, 2019-10)
    Ischemic heart disease (IHD) is a terrible experience that occurs when the flow of blood severely reduced or cut off due to plaque deposited on the inner wall of arteries that brings oxygen to the heart muscle, leads to ...
  • Modeling and Classification of Voluntary and Imagery Movements through fNIR & EEG Signals for Brain-Computer Interface 
    Rahman, Md. Asadur (Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh, 2020-01)
    Neural activation measurement regarding voluntary and imagery movement is a crucial argument for brain-computer interface. Generally, movement-related hemodynamics is measured from the central lobe of the brain which may ...

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