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Course Detail

Course Name Embedded Systems in Biomedical Applications
Course Code 25ES639
Program M. Tech. in Embedded Systems
Credits 3
Campus Bengaluru, Coimbatore

Syllabus

Syllabus

Overview of biomedical devices Origin of bio potentials bio potential electrodes bio potential amplifiers, System Theory for Physiological Signals: Filters, Modeling Embedded systems in Patient monitoring: ECG, EEG, EMG, Blood pressure, respiration, pulse oximeters, diagnostic devices. Non-invasive Diagnosis Using Sounds from Within the Body, Non-invasive Measurement of Blood Pressure, Measurement of Electrical Potentials and Magnetic Fields from the Body Surface and Plethysmography. Healthcare and the Wireless Sensor Network, Smart m-Health Sensing, m-Health and Mobile Communication Systems, Data Collection and Decision Making. m-Health Computing m-Health 2.0, Social Networks, Health Apps, Cloud and Big Health Data, m-Health and Global Healthcare and the Future of m-Health case study.

Text Books / References
  1. John G. webster, Amit J. Nimunkar, “Medical Instrumentation – Application and Design”, Fifth Edition, John Wiley and Sons, 2020. 
  2. Subhas Chandra Mukhopadhyay and Aime Lay-Ekuakille, “Advances in Biomedical Sensing, Measurements, Instrumentation and Systems”, Springer, 2010. 
  3. Aime Lay-Ekuakille and Subhas Chandra Mukhopadhyay, “Wearable and Autonomous Biomedical Devices and Systems for Smart Environment – Issues and Characterization”, Springer, 2010. 
  4. Robert B. Northrop, “Noninvasive Instrumentation and Measurement in Medical Diagnosis”, CRC Press, 2019. 
  5. H. Istepanian and Bryan Woodward, “m-Health Fundamentals and Applications”, Wiley, 2017. 

Objectives and Outcomes

Pre-requisite: Nil

Course Objectives:

  • To introduce the fundamentals of biomedical devices, origin of bio-potentials, electrode systems, and amplifiers for physiological signal acquisition and modelling.
  • To provide an understanding of embedded systems used in patient monitoring and diagnostic devices, for measuring physiological parameters such as electrical potentials, sounds, and blood pressure.
  • To impart modern m-Health technologies, including wireless sensor networks, mobile health systems, data-driven healthcare, cloud integration.

Course Outcomes:

CO1: Understand the basics of Bio Potentials and Physiological Signals. 
CO2: Familiarise Patient Monitoring System using Embedded Systems. 
CO3: Study of Embedded Systems in Patient Assistive Devices. 
CO4: Analyse the application of Embedded systems in surgical devices, medical imaging, clinical laboratory equipment etc. 

CO-PO Mapping:

PO/PSO PO1 PO2 PO3 PSO1 PSO2
CO
CO1 2  1  3  2  3 
CO2 2  1  3  3 3 
CO3 2  1  3  3 3 
CO4 3  2  3  3   3

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