Udemy – Biomedical Signal Processing 2024-5

Published on: 2024-07-20 18:11:59

Categories: 28

Description

Biomedical Signal Processing Course Biomedical signal processing is a vital discipline that integrates the principles of engineering, biology and medicine to interpret and analyze physiological signals. These signals, which can include electrical, mechanical or optical data, are derived from biological systems and are essential for the diagnosis, monitoring and treatment of various medical diseases. Biomedical signal processing is a dynamic and urgent field that uses advanced computational techniques to improve healthcare outcomes. By transforming raw physiological data into actionable insights, it plays a pivotal role in enhancing our ability to effectively diagnose, monitor, and treat patients.

What you will learn in the Biomedical Signal Processing course:

Basic concepts of signal processing such as sampling theorem, DFT-FFT calculations using DIT and DIF algorithms in Chapter 1.
Design of infinite impulse response filters such as Butterworth and Chebyshev digital filters, nonlinear transform method and impulse invariance methods in Chapter 2.
Designing finite impulse response filters with different types of windowing concepts in Chapter 3.
Simultaneous averaging and moving averaging using FIR filters in this chapter.
ECG analysis using different signal processing methods such as P wave detection, QRS complex detection using pattern matching techniques and heart rate fluctuations in Chapter 4.

This course is suitable for people who:

Students of biomedical engineering, electrical engineering, electrical and electronic engineering, computer science, engineering and instrumentation, artificial intelligence.