5th Sem, MU

315005: Biomedical Simulation Software Syllabus for Medical Electronics 5th Sem K Scheme MSBTE PDF

Biomedical Simulation Software detailed Syllabus for Medical Electronics (MU), K scheme PDF has been taken from the MSBTE official website and presented for the diploma students. For Subject Code, Subject Name, Lectures, Tutorial, Practical/Drawing, Credits, Theory (Max & Min) Marks, Practical (Max & Min) Marks, Total Marks, and other information, do visit full semester subjects post given below.

For all other MSBTE Medical Electronics 5th Sem K Scheme Syllabus PDF, do visit MSBTE Medical Electronics 5th Sem K Scheme Syllabus PDF Subjects. The detailed Syllabus for biomedical simulation software is as follows.

Rationale

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Course Outcomes:

Students will be able to achieve & demonstrate the following COs on completion of course based learning

  1. Use available EDA software employed in the area of biomedical engineering.
  2. Use software commands to simulate basic electronic circuits used in biomedical equipment.
  3. Use software commands to simulate signals from heart, brain and muscles and abnormalities.
  4. Use software commands to simulate pacemaker and defibrillator signals.
  5. Use software commands to simulate the respiration rate and blood pressure.

Unit I

Overview of Electronic Design Automation (EDA)Tools 1.1 Need of simulation software 1.2 Basics of EDA tools 1.3 Available EDA tools 1.4 Features of EDA tools: MultiSIM, MATLAB, Scilab, LAB VIEW, NI Tools, Python 1.5 Application of EDA tools in different fields 1.6 MultiSIM for Electronic Circuits Applications

Suggested Learning Pedagogie
Lecture using Chalk-Board Presentations Video Demonstrations Hands-on

Unit II

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

List of Experiments:

  1. * Half wave rectifier circuit simulation using available EDA software
  2. Full wave rectifier circuit simulation using EDA tools
  3. OpAmp based Inverting and non inverting amplifier simulation
  4. Body mass index calculations for user entered values of height and weight
  5. * Low pass and band pass filter simulation for different input frequencies and amplitudes
  6. * Instrumentation amplifier simulation for different input waves
  7. ECG wave pattern simulation for different frequency and amplitude using python (demonstration only)
  8. * ECG wave pattern simulation for different lead configurations using virtual lab platform
  9. EEG simulation to generate sound sleep pattern
  10. * EEG wave pattern verification by selecting various lead configuations in different lobes using virtual lab platform
  11. EMG pattern simulation for normal and stretched muscle activities
  12. * Synchronous and asynchronous pacemaker wave patterns simulation on virtual lab platform
  13. DC Defibrillator wave pattern simulation
  14. * Heart arrhythmia simulation to identify Bradycardia or trachycardia
  15. *Simulate GUI of respiration rate for different conditions
  16. Aortic and venous blood pressure simulation during cardiac cycle

Self Learning

Micro Project

  • Develop graphical environment to simulate and plot different abnormalities in sleep wave patterns.
  • Develop graphical environment to simulate and plot different abnormalities in ECG wave patterns.
  • Develop graphical environment to simulate and test action and resting potentials.

Assignment

  • Explain utilization of biomedical simulation software in medical image processing.
  • Describe how software simulation can help in diagnosis and treatment of different diseases.
  • Perform internet survey of different hardware simulators available for bio-signal analysis and explain their features.
  • Explain different software tools used to simulate bio-signals.
  • Explain different software commands/tools to create graphical user interface for simulation of different signals /wave patterns.
  • Explain advantages of biomedical signal hardware and software simulators.
  • Illustrate how biomedical simulation software can overcome artifacts in biomedical signal processing.

Laboratory Equipment

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Learning Materials

  1. Das,Vinu V. Programming in Scilab 4.1 New Age Publication, New Delhi, 2014, ISBN:978-8122424713
  2. Gupta, Sanjay, John, Joseph Virtual Instrumentation Lab View Mc Graw Hill Education, New Delhi, 2014, ISBN:978-0070700284
  3. Jerome, Jovitha Virtual Instrumentation PHI Learning, New Delhi, 2014, ISBN 978-8120340305
  4. Jain, Shailendra Modeling and Simulation MATLAB using Wiley, 2015, ISBN:978-8126551972
  5. Chapman, Stephen J. MATLAB Programming for Engineers Cengage, Fourth Edition, 2020, ISBN: 9789353502874

Learning Websites

  1. https://bmi-iitr.vlabs.ac.in/List%20of%20experiments.html Bio-Medical Instrumentation Lab
  2. https://bmsp-coep.vlabs.ac.in/List%20of%20experiments.html Biomedical and Signal Processing Lab
  3. https://www.mathworks.com/products/matlab-online Matlab
  4. https://scilab.in/Lab_Migration_Project Scilab
  5. https://biosppy.readthedocs.io/en/stable/ Biological Signal Processing in Python
  6. https://www.tutorialspoint.com/matlab/ Matlab Tutorials
  7. https://in.mathworks.com/discovery/matlab-gui.html Matlab GUI
  8. https://www.youtube.com/watch?v=j2fAWGtHvao ECG signal Generation
  9. https://www.youtube.com/watch?v=dzIKcDzaEK8 EEG Signal Generation
  10. https://www.youtube.com/watch?v=l2rCLGsylgY EMG Signal Processing
  11. https://www.youtube.com/watch?v=tHGxV5rNoLI EMG Signal Processing using Arduino
  12. https://onlinecourses.nptel.ac.in/noc22_ge17/preview Electrocardiogram – Interpretation and Application
  13. https://pypi.org/project/neurokit2/ Python Toolbox for Neurophysiological Signal Processing

For detail Syllabus of all other subjects of Medical Electronics, K scheme do visit Medical Electronics 5th Sem Syllabus for K scheme.

For all Medical Electronics results, visit MSBTE Medical Electronics all semester results direct links.

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