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Last updated:
September 25, 2023
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
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Description
Biomedical Signal Processing. Instructor: Prof. Sudipta Mukhopadhyay, Department of Electrical and Electronics Communication Engineering, IIT Kharagpur.
This course is prepared for the engineering students in their final year of undergraduate studies or in their graduate studies. Electrical Engineering students with a good background in Signals and Systems are prepared to take this course. Students in other engineering disciplines, or in computer science, mathematics, geophysics or physics should also be able to follow this course. While a course in Digital Signal Processing would be useful, it is not necessary for a capable student. The course has followed problem solving approach as engineers are known as problem solvers. The entire course is presented in the form of series of problems and solutions. (from nptel.ac.in)
Course Curriculum
- Lecture 01 – Motivation, Human Body as a System Unlimited
- Lecture 02 – Preliminaries: Building Blocks, Human Cell, Action Potential Unlimited
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- Lecture 03 – Cardiovascular System and Electrocardiogram Unlimited
- Lecture 04 – ECG Lead Configuration, ECG Unipolar Leads, Electroencephalogram Unlimited
- Lecture 05 – EEG Lead Position, Recording Configuration, and Applications Unlimited
- Lecture 06 – Electromyography, Electroneurogram, Event Related Potential, etc. Unlimited
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- Lecture 07 – Introduction and Statistical Preliminaries Unlimited
- Lecture 08 – Case Studies, Time Domain Filtering: Sync Averaging Unlimited
- Lecture 09 – Time Domain Filtering: Moving Average, Integration Filter, Derivative based Filter Unlimited
- Lecture 10 – Time Domain Filtering: Improved Derivation based Filter, … Unlimited
- Lecture 11 – Optimal Filtering Unlimited
- Lecture 12 – Optimal Filtering (cont.) Unlimited
- Lecture 13 – Optimal Filtering (cont.) Unlimited
- Lecture 14 – Adaptive Filtering: Need and Basics of Adaptive Filtering Unlimited
- Lecture 15 – Least Mean Square Adaptive Filtering Unlimited
- Lecture 16 – Recursive Least Square Adaptive Filtering Unlimited
- Lecture 17 – Summary of the Artifact Removal Techniques Unlimited
- Lecture 18 – Example Events Unlimited
- Lecture 19 – QRS Wave Detection: 1st and 2nd Derivative Based Methods Unlimited
- Lecture 20 – QRS Wave Detection: Pan Tompkin Algorithm and Dicrotic Notch Detection Unlimited
- Lecture 21 – Case Study: EEG Signal Description Unlimited
- Lecture 22 – EEG Rhythm Detection: Cross Correlation Coefficient, Cross Spectral Density Unlimited
- Lecture 23 – EEG Rhythm Detection: Match Filter Unlimited
- Lecture 24 – Summary of the Event Detection Unlimited
- Lecture 27 – Case Studies: Changes in ECG Waveform Unlimited
- Lecture 28 – Morphological Analysis of ECG Wave: Correlation Coefficient and … Unlimited
- Lecture 29 – Minimum Phase Correspondent and Signal Length (cont.) Unlimited
- Lecture 30 – ECG Waveform Analysis Unlimited
- Lecture 31 – Envelop Extraction and Analysis Unlimited
- Lecture 32 – Analysis of Activity Unlimited
- Lecture 33 – Summary of Waveform Analysis Unlimited
- Lecture 40 – Modelling of Biomedical Systems: Motivation Unlimited
- Lecture 41 – Point Process Unlimited
- Lecture 42 – Parametric Model and AR Model Parameters Unlimited
- Lecture 43 – AR Model Parameter Estimation using ACF and Covariance Method Unlimited
- Lecture 44 – Spectral Matching, Modd Order Selection, Relation of AR Model and … Unlimited
- Lecture 45 – Parameter Estimation of ARMA Model Unlimited
- Lecture 46 – Summary of the Chapter on Modelling of Biomedical Systems Unlimited
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