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Course Detail

Course Name Embedded Systems in Biomedical Applications
Course Code 25MT648
Program M. Tech. in Mechatronics
Credits 3
Campus Amritapuri

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.

Objectives and Outcomes

Learning Objectives

LO1    To Introduce Fundamentals of Biomedical signals & its acquisition

LO2    To understand the non-invasive measurements.

LO3    To understand the application of computing & network in health care system

 

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

CO/PO

 PO1

 PO2

 PO3

 PO4

 PO5

 CO1

 2

 –

 2

 –

 –

 CO2

 2

3

 2

 3

 2

 CO3

 2

 –

 2

 3

 2

 CO4

 2

 2

 2

 3

 3

Text Books / References

Textbooks/References:

  1. John webster, Amit J. Nimunkar, “Medical Instrumentation – Application and

Design”, Fifth Edition, John Wiley and Sons, 2020.

  1. Subhas Chandra Mukhopadhyay and Aime Lay-Ekuakille, “Advances in Biomedical Sensing, Measurements, Instrumentation and Systems”, Springer,
  2. Aime Lay-Ekuakille and Subhas Chandra Mukhopadhyay, “Wearable and Autonomous Biomedical Devices and Systems for Smart Environment – Issues and Characterization”, Springer, 2010.
  3. Robert B. Northrop, “Noninvasive Instrumentation and Measurement in Medical Diagnosis”, CRC Press, 2019.
  4. H. Istepanian and Bryan Woodward, “m-Health Fundamentals and

Applications”, Wiley, 2017.

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