Academia

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Undergraduate Thesis:

Classification of ECG signal using Hybrid Deep Neural Network

Supervisor: Prof. Dr. Golam Sarowar, Dept. of EEE, IUT

Abstract: This dissertation studies a comprehensive approach to evaluate the performance of different machine learning and deep learning algorithms in order to classify five ECG signal categories. A novel algorithm is also proposed to achieve the same objective efficiently. Cardiovascular disease is responsible for a prominent amount of mortality among humankind is detected by analyzing ECG signals. ECG signal classification is an arduous task since sometimes the abnormal heartbeats are too similar to categorize. Most of the patients with heart diseases come to the doctor when the person is severely attacked. Therefore, doctors or medical persons cannot take much time to start the treatment. The heart is the most sensitive organ of the body, a misapprehension in classification can cause death to the patient. Machine learning and deep learning can be handy tools for the classification of the ECG signal quickly and efficiently. A Famous MIT-BIH ECG signal dataset was utilized to train and test the models. Six machine learning algorithms and five deep learning algorithms were studied with efficient hyperparameter optimization technique, and their performance was evaluated. Finally, a novel Hybrid Deep Neural Network (HDNN) was proposed which provided the best accuracy of 99.23% among all the algorithms studied for the classification of ECG signal. A detailed comparative analysis of performance with all other algorithms was carried out in terms of accuracy, precision, recall, and F-1 score.

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Industrial Attachment:

1. Atomic Energy Research Establishment, Baipail, Savar, Dhaka.

2. Ghorashal Training Center, Ghorashal Power Station, BPDB, Palash, Narsingdi.

3. Bangladesh Telecommunications Company Limited (BTCL), Moghbazar Telephone Bhaban, Dhaka.

 [Details can be found on 'Skill Development' Tab]

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Undergraduate Projects:

1. Nuclear Dilemma Hackathon: Team Arkansas 

2. Real Time Face Recognition from Webcam video Feed & Attendance System using OpenCV, Python 

3. Visualization of basic operation on Signals & Systems using MATLAB GUI 

4. Bluetooth Interfacing (laptop to project-board) & LED blinking using AT89C52 Microcontroller 

5. Stepper Motor Control using AT89C52 Microcontroller 

6. Paper(Partial) Simulation using COMSOL__Acoustic pressure sensing with HC-PBF 

7. Conduit Layout Design of IUT Academic Building-2, 1st Floor using AUTOCAD 

8. Paper Simulation using COMSOL_Optical Ring Resonator Based Notch Filter Using LNOI 

9. Calculator Design using Logic Gates

 [Details can be found on 'Skill Development' Tab]

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Undergraduate Courses:  [Detailed Syllabus]

1.1 Mathematics I (Calculus and Geometry), Mathematics II (Matrices and Differential Equations)                                           Course number: Math 4121, 4123 

1.2 Mathematics III (Complex Variable, Vector Analysis and Statistics), Mathematics IV (Transform  Techniques and Linear Algebra) 

                                                                                                                                                                                                          Course number: Math 4221, 4321 

1.3 Random Signals and Processes (with Lab), Numerical Methods (with Lab)                                                              Course number: Math 4421+22, 4521+22 

2.1 Engineering Physics I (with Lab), Engineering Physics II (with Lab)                                                                                           Course number: Phy 4121, 4221 

2.2 Semiconductor Devices, Engineering Materials                                                                                                                         Course number: Phy 4421, 4821 

3. Basic Mechanical Engineering (with Lab), Measurement and Instrumentation (with Lab)                                          Course number: EEE 4391+92, 4603+04 

4.1 Electrical Circuit I (with Lab), Electrical Circuit II (with Lab), Simulation Lab                                                          Course number: EEE 4101+02,4201+02,4416 

4.2 Electrical Services Design Lab, Electrical and Electronic Workshop Lab                                                                                 Course number: EEE 4418, 4518 

5.1 Electronics I & II (with Lab)                                                                                                                                             Course number: EEE 4203+04, 4303+04 

5.2 Digital Electronics (with Lab), Power Electronics (with Lab)                                                                                        Course number: EEE 4307+08, 4503+04 

5.3 Embedded System Design (with Lab), Digital Filter Design (with Lab)                                                                       Course number: EEE 4765+66, 4865+66 

6.1 Communication Engineering I & II (with Lab)                                                                                                                Course number: EEE 4403+04, 4703+04 

6.2 Electromagnetic Fields and Waves, Wireless Communication (with Lab)                                                                                Course number: EEE 4501, 4541

7.1 Power System I (with Lab), Power System II (with Lab), Power Generation                                                         Course number: EEE 4301+02,4401+02,4801 

7.2 Energy Conversion I (with Lab), Energy Conversion II (with Lab), Energy Conversion III                                   Course number: EEE 4305+06,4405+06,4531 

7.3 Utilization of Electrical Energy (with Lab), Power Plant Engineering and Economy, Power System Operation & Control 

                                                                                                                                                                                             Course number: EEE 4625+26,4635,4835 

8.1 C programming (with Lab), Artificial Neural Networks and Fuzzy Logic                                                                    Course number: CSE 4271+72, EEE 4773 

8.2 Microprocessor and Assembly Language Programming Lab, Microcontroller Based System Design (with Lab) 

                                                                                                                                                                                                     Course number: EEE 4516, 4605+06 

8.3 Signals and Systems (with Lab), Digital Signal Processing I (with Lab)                                                                       Course number: EEE 4601+02, 4701+02 

8.4 Control System Engineering I (with Lab)                                                                                                                                      Course number: EEE 4705+06 

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