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The [course_title] course teaches the basics of digital signal processing with a special focus on problems in biomedical research and clinical medicine.

You will learn the principles and algorithms for processing both deterministic and random signals. The course is divided into two sections: one deals with the theory while other includes lab practice. In the theory part, you will learn Biomedical Signals and Images, Fundamentals of Deterministic Signal and Image Processing, Probability and Random Signals, Image Segmentation and Registration. In the Biomedical Signals and Images section, you will learn about ECG, speech coding, surgical applications, etc. Other areas discussed in the course are data acquisition, imaging, filtering, coding, feature extraction, and modelling. Apart from these, you will learn how to process physiological data, with examples from cardiology, speech processing, and medical imaging.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

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Course Credit: MIT

Course Curriculum

Module 01
L-1 Intro 1 00:10:00
L-1 Intro 2 00:40:00
L-2 digital filters 00:35:00
L-3 Introduction to Clinical Electrocardiography part 1 01:05:00
L-3 The Physiological Basis of the Electrocardiogram part 2 00:45:00
L-4 Fourier representation of signals and systems 00:45:00
L-5 The discrete Fourier transfo 00:40:00
L-6 Sampling in time and frequency 00:35:00
L-7 Z-transforms 00:24:00
L-8 The short-time Fourier transform 00:30:00
L-9 Linear prediction 00:35:00
L-10 Image processing 00:45:00
Module 02
L-11 Decision systems Part 1 00:30:00
L-11 Probability primer Part 2 00:25:00
L-11 Venn diagrams Part 3 00:20:00
L-12 Image processing 2 00:55:00
L-13 Density estimation 00:35:00
L-14 Introduction to medical image segmentation 01:30:00
L-15 Image registration I 01:10:00
L-16 Image registration II 01:05:00
L17 Imaging modalities 01:50:00
L18 Random signal processing 01:00:00
L-19 Random signals – basic properties 00:45:00
L-20 Random signals and linear systems 00:35:00
L-21 Blind source separation 01:25:00
L-22 Blind source separation 01:10:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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