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program overview

Prepare for a career in M. Tech.

Biomedical Instrumentation and Signal Processing (BISP) program uses the principles of Engineering, Biology, and Medicine to solve existing problems in the healthcare field for the benefit of mankind. It applies quantitative, analytical, software and hardware methods which help in better understanding of basic biological processes and to develop innovative techniques for the diagnosis, treatment and prevention of diseases. Future of enhanced healthcare services through biomedical instrumentation lies in the design and development of low-cost systems and solutions which are wearable, portable, energy efficient, and user friendly to measure and monitor in real-time, the parameters in both invasive and non-invasive manner. To achieve this, a highly multidisciplinary curriculum has been prepared which can cater all the above. Students when they graduate will be well trained in advanced signal processing, advanced digital image processing, lab on chips, effective analysis and learning of interrelated parameters using data science concepts, machine learning, MEMS sensor systems, IoT systems, big data analytics, flexible electronics and to develop wearable wireless systems.

Curriculum

First Semester
Course Code  Type  Course  Cr. 
21MA615 FC Foundations of Mathematics 2 0 1 3
21BI601 FC Basics of Digital Signal Processing 2 0 1 3
21BI611 SC Basics of Human Anatomy and Physiology 2 0 0 2
21BI612 SC Internet of Things & Embedded Systems Design 3 0 1 4
21BI602 FC Advanced Computer Programming 0 0 1 1
21BI613 SC Sensor Design and System Development 2 0 1 3
21BI614 SC Biomedical Instruments and Data Interpretation 2 0 0 2
21BI681 P Live-in-Labs-I – Participatory Design and Modelling 0 0 0 0
21HU601 HU Amrita Values Program* 0 0 0 P/F
21HU602 HU Career Competency I* 0 0 0 P/F
Total Credits 18
Second Semester
Course Code  Type  Course  Cr. 
21BI615 SC Biomedical Image Processing 2 0 1 3
21BI616 SC Machine Learning 2 0 1 3
21BI603 FC Design and Analysis of Algorithm 2 0 1 3
E Elective I 2 0 0 2
E Elective II 2 0 1 3
21BI617 SC Biomedical Equipment and Safety, Intellectual Properties and Medical Ethics 1 0 0 1
21RM619 SC Research Methodology 2 0 0 2
FE Fractal Elective 1 0 0 1
21BI618 SC Biomedical Instruments and Applications 0 0 1 1
21HU603 HU Career Competency II 0 0 2 1
Total Credits 20
Third Semester
Course Code  Type  Course  Cr 
E Elective III 2 0 1 3
21BI798 P Dissertation- Phase I 10
21BI781 P Live-in-Labs II- Lab-to-Field: People Centered Innovation 0 0 0 0
Total 13
Fourth Semester
Course Code  Type  Course  Cr. 
21BI799 P Dissertation- Phase II 16
21BI782 P Live-in-Labs III- Social Business: People Centered Innovation 0 0 1 1
17
Foundation Core
Course Code     Type     Course     L     T     P  Cr 
   21MA615    FC Foundations of Mathematics    2    0    1    3
   21BI601    FC Basics of Digital Signal Processing    2    0    1    3
   21BI602    FC    Advanced Computer Programming    0    0    1    1
   21BI603    FC    Design and Analysis of Algorithms    2    0    1    3
Subject Core
Course Code     Type     Course     L     T     P     Cr 
 21BI611  SC Basics of Human Anatomy and Physiology 2 0 0 2
 21BI612  SC Internet of Things & Embedded Systems Design 3 0 1 4
 21BI613  SC  Sensor Design and System Development 2 0 1 3
 21BI614  SC Biomedical Instruments and Data Interpretation 2 0 0 2
 21BI615  SC Biomedical Image Processing 2 0 1 3
 21BI616   Machine Learning 2 0 1 3
 21BI617  SC Biomedical Equipment and Safety, Intellectual Properties and Medical Ethics 1 0 0 1
 21BI618  SC Biomedical Instruments and Applications 0 0 1 1
 21RM619  SC Research Methodology 2 0 0 2
Electives
Course Code   Type  Course   L   T   P   Cr 
Elective I
21BI701 E  Fundamental Biomechanics 2 0 0 2
21BI702 E  Biofluid Mechanics 2 0 0 2
21BI703 E MEMS and NEMS Sensors and Applications 2 0 0 2
21BI704 FE Recent Trends in Targeted Drug Delivery Systems 2 0 0 2
Elective II
21BI711 E  Wireless Body Area Networks 2 0 1 3
21BI712 E Mobile Computing 2 0 1 3
21BI713 FE Biocompatible Materials and Flexible-Stretchable Electronics 2 0 1 3
21BI714 E  Wearable Computing 2 0 1 3
   Elective III 
21BI721 E Artificial Intelligence in Biomedicine and Healthcare 2 0 1 3
21BI722 E Bioinformatics 2 0 1 3
21BI723 E  Advanced Biomedical Instrumentation 2 0 1 3
21BI724 E  Biostatistics 2 0 1 3
21BI725 E  Security and Risks in Wearable Technologies 2 0 1 3
Fractal Electives
Course Code   Type  Course   L   T   P   Cr 
  21BI731   FE Overview of Telemedicine for Healthcare Applications   1   0   0   1
 21BI732 FE Haptics and Robotics in Healthcare   1   0   0   1
 21BI733 FE  Clinical Engineering   1   0   0   1
  21BI734  FE  Rehabilitation Engineering   1   0   0   1
 21BI735 FE Optical Fiber Technology for e-Healthcare   1   0   0   1
Project Work
Course Code  Type  Course  Cr 
   21BI681    P Live-in-Labs-I – Participatory Design and Modelling    0
   21BI781    P Live-in-Labs II- Lab-to-Field: People Centered Innovation    0
   21BI782    P Live-in-Labs III- Social Business: People Centered Innovation    1
21BI798 P Dissertation- Phase I  10
21BI799 P Dissertation- Phase II 16
Eligibility

Admissions

Duration: Two years

Eligibility Criteria

Applicants should have any of the following, scoring a minimum of 60% with a pass.

  • B.Tech. or B.E. in (Applied Electronics and Instrumentation, Bioinformatics, Biomedical Engineering, Biotechnology, Computer Engineering, Computer Science and Engineering, Electrical and Electronics Engineering, Electrical Engineering, Electronics and Communication Engineering, Electronics and Instrumentation Engineering, Electronics Engineering, Industrial and Production Engineering, Industrial Engineering and Management, Industrial Engineering, Information Science and Engineering, Information Technology, Instrumentation and Control Engineering, Instrumentation Engineering, Manufacturing Technology, Material Science Engineering, Mechatronics Engineering, Medical Electronics, Robotics Engineering, Software Engineering, Telecommunication Engineering)
  • B.Tech. in (Applied Mechanics, Biochemical Engineering, Biomedical Instrumentation, Biotechnology and Biochemical Engineering, Cloud Computing & Virtualization Technology, Computer and Information Science, Electronics and Media Technology, Electronics and Nanotechnology, Electronics and Telecom Engineering, Engineering Physics, Industrial Biotechnology, Information and Communication Technology, Mathematics and Computing, Nanotechnology, Optics and Optoelectronics, Physical Sciences, Power Engineering, Power System Engineering)
  • B.E. in (Power Electronics, Production & Industrial Engineering, Production Engineering)
  • M.Sc. in (Applications of Mathematics, Applied Economics, Biomedical Science, Computer Applications, Computer Communication, Computer Science, Computer Technology, Electronics, Electronics & Communication, Electronics and Instrumentation, Electronics and Telecommunications, Instrumentation Technology, Medical Imaging Technology, Medical Technology, Microelectronics and Advanced Communication)
  • MCA

Program Overview

Learning Objectives

The Program, Biomedical Instrumentation and Signal Processing (BISP) at Amrita Vishwa Vidyapeetham has the following objectives:

  1. Ability to understand and apply the fundamentals of life sciences, physical sciences, mathematics and engineering in this area.
  2. Students to get internship/placements in the relevant area and to demonstrate a degree of mastery in corresponding specializations.
  3. Research careers for pursuing higher degrees and ability to independently carry out research and development to solve practical problems.
  4. Inspire students to continue and expand their knowledge for adapting in a rapidly changing global environment.

See Also

Programme Outcomes
PO1 An ability to independently carry out research/investigation and develop to solve practical problems
PO2 An ability to write and present a substantial technical report / document
PO3 Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than requirements in appropriate bachelor program
PO4 Understanding of how the basic theories can be applied to solve practical problems.
PO5 Ability to bridge the gap from research to community needs

Program Educational Outcomes  

PEO1  Understanding of the biomedical instrumentation and signal processing ecosystem, devices, and current practices in the academia and industry 
PEO2  Develop skills on developing, applying and evaluating signal processing and data analysis technique in healthcare applications 
PEO3  Develop critical understanding of state-of-art research in the field of biomedical instrumentation, signal processing, data analysis, and machine learning, and develop capability to design embedded systems and associated instruments for medical applications 
Thrust Areas in Research
  • Low Cost Health Care Systems and Solutions.
  • Signal Processing
  • Embedded Systems
  • Stochastic Process
MTech Program Fee 2022 (Per Semester)

Terms and Conditions of Scholarship:

Students must pay the regular semester fees of Rs. 79,500/- at the time of admission.

Facilities and Infrastructure

Wireless Multimedia Lab

Wireless Multimedia Lab

Amrita – Keysight Advanced Wireless Communications Lab

Amrita – Keysight Advanced Wireless Communications Lab

Remote Triggered Lab

Remote Triggered Lab

Embedded Systems Lab

Embedded Systems Lab

 
Smart Energy Systems Lab

Smart Energy Systems Lab

Landslide Lab

Landslide Lab

Hardware Lab

Hardware Lab

Geotechnical Lab

Geotechnical Lab

Networks Operations Center

Networks Operations Center

Program Coordinator

M. Tech. in Biomedical Instrumentation and Signal Processing
Prof. Unnikrishnan Menon

MTech-Biomedical Instrumentation & Signal Processing Program Coordinator

Placements

At Amrita, companies vie with each other to be the early birds for hiring,
thanks to the quality of students, past and present.

250

6.8 LPA

300

5.37 LPA

150

6.67 LPA

56

17.5 LPA

Alumni Testimonial

Yogesh Kumar
(2020-22 Batch)

M.Tech Biomedical Instrumentation program offered at Amrita Vishwa Vidyapeetham helped me develop my technical and personal skills that transformed me into a confident and industry ready person. I feel grateful for my institution for supporting me to get this exciting opportunity at INXEE.

Chitranjali
(2020-22 Batch)

One of the factors that makes Amrita different from other universities is its curriculum. It includes more practical sessions than theory sections in current technologies, which helps us gain knowledge and prepare us for real-world engineering skills. Amrita has a dedicated course for placement training, which helps to groom soft skills, social skills and aptitude skills. All these things will help me to get an internship at INXEE and TATA ELXSI

Sanjeevi
(Intern at Applied Materials, 2020-22 Batch)

Experienced faculty members created a friendly environment in classes.the Multidisciplinary syllabus & curriculum with advanced topics like machine learning, data structure, and image processing and Hands on experience in lab sessions.These things were really helped me during my interview process.

Video Testimonial

Why Amrita

The top reasons to choose Amrita for your career

601-800th

World University Rankings 2019

141

BRICS Rankings 2020

801–1000th

World University Rankings 2019

168th

BRICS University Rankings 2020

5th

India University Rankings 2022

16th

Overall Rankings 2022
ranking
5th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade

Contact Us

If you wish to know more about the course please mail to,
mtech@amrita.edu

Admissions Apply Now