EL4002 Smart Sensors for Healthcare Syllabus:
EL4002 Smart Sensors for Healthcare Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To introduce different types of electrodes used in bio potential recording
To provide an overview of smart sensors and the associated signal processing
Gain knowledge for implementing different types of physiological parameter measurement using appropriate sensors
To introduce smart chemical sensors
To present an overview of the direction of future health care system
UNIT I BIOPOTENTIAL ELECTRODES
Origin of bio potential and its propagation. Electrode-electrolyte interface, electrode–skin interface, half-cell potential, impedance, polarization effects of electrode – nonpolarizable electrodes. Types of electrodes – surface, needle and micro electrodes and their equivalent circuits. Recording problems – measurement with two electrodes.
UNIT II SMART SENSORS
Smart Physical sensors-Fiber based sensors-Primary Sensors – Excitation – Amplification – Filters – Converters – Compensation– Information Coding/Processing – Data Communication – Standards for Smart Sensor Interface– The Automation.
UNIT III PHYSICAL SENSORS IN BIOMEDICINE
Temperature measurement: core temperature,-surface temperature- invasive. Blood flow measurement: skin blood- hot film anemometer- Doppler sonography- electromagnetic sensor – blood pressure measurement: noninvasive- hemodynamic invasive. Spirometry- sensors for pressure pulses and movement- ocular pressure sensor-acoustic sensors in hearing aid, in blood flow measurement, sensors for bio-magnetism, tactile sensors for artificial limbs, sensors in ophthalmoscopy, artificial retina.
UNIT IV CHEMICAL BIOSENSORS
Field Effect Transistor Technologies for Biological and Chemical Sensors -Electrochemical sensor, Chemical fibro sensors, Noninvasive blood gas monitoring-Blood glucose sensors-Electronic noses-gamma radiation dosimeter.
UNIT V NEXT GENERATION HEALTHCARE
Internet of Things in Healthcare -Robotics in Healthcare-Implantable Neural Sensors for Brain Machine Interface-Cell Based Sensor -Sensors for food contaminant detection-Liposome Based Sensors-limitations and challenges in state-of-the-art smart biochemical sensors-Future scope of wearable sensors
TOTAL: 45 PERIODS
COURSE OUTCOMES:
On completion of the course the student will be
CO1: Able to understand about the different types of bio-potential electrodes
CO2: Able to design systems with smart sensors
CO3: Ability to use appropriate sensors as well as to measure and analyze the physiological parameters obtained
CO4: Able to design chemical bio-sensors for typical issues
CO5: Ability to understand the role of upcoming technology in future healthcare
REFERENCES
1. J. G. Webster, J. G. Webster ,“Medical Instrumentation; Application and Design”, John Wiley & Sons, Inc., New York, 4th Edition, 2015
2. Chong-Min Kyung,Smart Sensors for Health and Environment Monitoring,Springer Publications,2015.
3. Editors:DomenicoFormicaEmilianoSchena,Smart Sensors for Healthcare andMedicalApplications,Published in Sensors,ISBN 978-3-0365-0651-7 (pdf),August 2021.
4. Editors: Kyung, C., Yasuura, H., Liu, Y., Lin, Y.-L. ,Smart Sensors and Systems-Innovations for Medical, Environmental, and IoTApplications,Springer Publications,2017.
5. Editors: HamidaHalliland HadiHeidari,Smart Sensors for Environmental and Medical Applications, Wiley-IEEE Press,2020,ISBN: 978-1-119-58734-7.
6. Edward Sazonov, Michael R. Newman, “Wearable Sensors: Fundamentals, Implementation and Applications”, 2014, 1st Edition, Academic Press, Cambridge.