Page 90 - R2017 Final_BE Biomedical Curriculum and Syllabus - REC

Department of BME, REC

UNIT III REHABILITATION ROBOTICS 10
Pediatric Rehabilitation, Portable Robot for Tele-rehabilitation, Prosthetic Devices for Upper Limb
Amputees, Machine for Injured Fingers, Exoskeleton-Based Exercisers for the Disabilities of the
Upper Arm and Hand, Tremor Suppression, Facial Automaton Tool for People with Autism.

TOTAL: 30 PERIODS
OUTCOMES:
On completion of the course students will be able to
• Identify the components required to design a robot.
• Know the utilization of robotics in medical field.
• Understand the basic concepts of rehabilitation robotics

TEXTBOOKS:
1. Nagrath and Mittal, “Robotics and Control”, Tata McGraw-Hill, First edition, 2003.
2. Jacob Rosen, Blake Hannaford & Richard M Satava, “Surgical Robotics: System
Applications & Visions”, Springer 2011.

REFERENCES:
1. Howie Choset, Kevin Lynch, Seth Hutchinson, George Kantor, Wolfram Burgard, Lydia
Kavraki and Sebastian Thurn, “Principles of Robot Motion: Theory, Algorithms, and
Implementations”, Prentice Hall of India, First edition, 2005.
2. Fu.K.S, Gonzalez.R.C., Lee, C.S.G, “Robotics, control”, sensing, Vision and Intelligence,
Tata McGraw Hill International, First edition, 2008.
3. Barbara Webb and Thomas Consi. R, “BioRobotics: Methods & Applications”, AAAI
Press/MIT Press, First Edition, 2001.
4. Constantinos Mavroidis, Antoine Ferreira, “Nanorobotics: Current approaches and
Techniques” , Springer 2011.
5. Sashi S Kommu; Rehabilitation Robotics,1 edition,CRC Press,2007

BM17E16 BIOMETRIC SYSTEMS L T P C
2 0 0 2
OBJECTIVES
• To understand the technologies of fingerprint, iris, face and speech recognition
• To identify issues in the realistic evaluation of biometrics based systems.

UNIT I INTRODUCTION TO BIOMETRICS 9
Introduction and back ground – biometric technologies- passive biometrics –active biometrics -
Biometric systems- data acquisition methods – Enrollment – templates – Algorithm – verification –
Biometric applications – biometric characteristics -Authentication technologies - Need for strong
authentication - Protecting privacy.

UNIT II FINGERPRINT & IRIS SCAN TECHNOLOGY 10
History of fingerprint pattern recognition - General description of fingerprints - Finger print feature
processing techniques –fingerprint enhancement – Feature extraction – fingerprint classification –
fingerprint matching – Iris scan Introduction, Anatomical and Physiological underpinnings,
Components, Sensing, Iris Scan Representation and Matching, Iris Scan Strengths and
Weaknesses.

Curriculum and Syllabus | B.E Biomedical Engineering | R 2017 Page 90