Back close
Courses offered at the following campus
program overview

Prepare for a career in M. Tech.

Biomedical Instrumentation and Signal Processing (BISP) program uses the principles of Engineering, Biology, Medicine and Management 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, MEMS sensor systems, IoT systems, big data analytics, flexible electronics and to develop wearable wireless systems.

Curriculum

First Semester
Course Code Type Course L T P Cr.
19MA601 FC Foundations of Mathematics 2 0 1 3
19BI601 FC Basics of Digital Signal Processing 2 0 1 3
19BI611 SC Basics of Human Anatomy and Physiology 2 0 2 2
19BI612 SC Embedded Systems Design 3 0 1 4
19BI602 FC Advanced Computer Programming 0 0 1 1
19BI613 SC Sensor Design and System Development 2 0 1 3
19BI614 SC Biomedical Instruments and Data Interpretation 2 0 0 2
19BI795 P Live-in-Labs-I – Participatory Design and Modelling 0 0 0 P/F
19BI614 HU Amrita Values Program* 0 0 0 P/F
19BI614 HU Career Competency I* 0 0 0 P/F
Total Credits 18
*Non-credit Course
Second Semester
Course Code Type Course L T P Cr.
19BI615 SC Biomedical Image Processing 2 0 1 3
19BI616 SC Machine Learning 2 0 1 3
19BI603 FC Design and Analysis of Algorithm 2 0 1 3
* E Elective I 2 0 0 2
19BI617 SC Biomedical Equipment and Safety, Intellectual Properties and Medical Ethics 1 0 0 1
19RM600 SC Research Methodology 2 0 0 2
* FE Fractal Elective I 0 1 0 1
* FE Fractal Elective II 0 1 0 1
19BI618 SC Biomedical Instrumentation Lab *IoC 0 0 1 1
19HU603 HU Career Competency II 0 0 2 1
Total Credits 18
Third Semester
Course Code Type Course L T P Cr.
19BI619 SC Internet of Things: Architecture and System Design 2 0 1 3
* E Elective II 2 0 0 2
* E Elective III 2 0 0 2
* E Fractal Elective III 0 0 1 1
19BI798 P Dissertation * * * 6
19BI796 P Live-in-Labs II- Lab-to-Field: People Centered Innovation 0 0 0 0
Total Credits 14
Fourth Semester
Course Code Type Course L T P Cr.
19BI799 P Dissertation * * * 14
19BI797 P Live-in-Labs III- Social Business: People Centered Innovation 0 0 1 1
Total Credits 15
Subject Code
Course Code Type Course L T P Cr.
19BI611 SC Basics of Human Anatomy and Physiology 2 0 0 2
19BI612 SC Embedded Systems Design 3 0 1 4
19BI613 SC Sensor Design and System Development 2 0 1 3
19BI614 SC Biomedical Instruments and Data Interpretation 2 0 0 2
19BI615 SC Biomedical Image Processing 2 0 1 3
19BI616 SC Machine Learning 2 0 1 3
19BI617 SC Biomedical Equipment and Safety, Intellectual Properties and Medical Ethics 1 0 0 1
19BI618 SC Biomedical Instrumentation Lab 0 0 1 1
19RM600 SC Research Methodology 2 0 0 2
19BI619 SC Internet of Things: Architecture and System Design 2 0 1 3
Foundation Core
Course Code Type Course L T P Cr.
19MA601 FC Foundations of Mathematics 2 0 1 3
19BI601 FC Basics of Digital Signal Processing 2 0 1 3
19BI602 FC Advanced Computer Programming 0 0 1 1
19BI603 FC Design and Analysis of Algorithms 2 0 1 3
Project Work
Course Code Type Course L T P Cr.
19BI795 P Live-in-Labs-I – Participatory Design and Modelling * * * 0
19BI796 P Live-in-Labs II- Lab-to-Field: People Centered Innovation * * * 0
19BI797 P Live-in-Labs III- Social Business: People Centered Innovation * * * 1
19BI798 P Dissertation * * * 6
19BI799 P Dissertation * * * 14
Electives
Course Code Type Course L T P Cr.
ELECTIVES I
19BI701 E Fundamental Biomechanics 2 0 0 2
19BI702 E Biofluid Mechanics 2 0 0 2
19BI703 E Mobile Computing 1 0 1 2
ELECTIVES II
19BI711 E Wireless Body Area Networks 2 0 0 2
19BI712 E Artificial Intelligence in Biomedicine and Healthcare 1 0 1 2
19BI713 E Wearable Computing 1 0 1 2
19BI714 E Security and Risks in Wearable Technologies 2 0 0 2
ELECTIVES III
19BI721 E Bioinformatics 2 0 0 2
19BI722 E Clinical Engineering 2 0 0 2
19BI723 E MEMS and NEMS Sensors and Applications 2 0 0 2
19BI724 E Rehabilitation Engineering 2 0 0 2
19BI725 E Advanced Biomedical Instrumentation 2 0 0 2
19BI726 E Biostatistics 2 0 0 2
Fractal Elective
Course Code Type Course L T P Cr.
FRACTAL ELECTIVES I
19BI731 FE Overview of Telemedicine for Healthcare Applications 1 0 0 1
19BI732 FE Wearable Devices: Ethical Challenges and Solutions ** 1 0 0 1
19BI733 FE Radiation Detectors for Biomedical Application** 1 0 0 1
FRACTAL ELECTIVES II
19BI741 FE Introduction to Biocompatible Materials 0 1 0 1
19BI742 FE Recent Trends in Non-invasive Techniques ** 0 1 0 1
19BI743 FE Flexible and Stretchable Electronics for Wearable Technologies 0 1 0 1
19BI744 FE Recent Trends in Targeted Drug Delivery Systems 0 1 0 1
FRACTAL ELECTIVES III
19BI751 FE Optical Fiber Technology for e-Healthcare ** 0 1 0 1
19BI752 FE Haptics and Robotics in Healthcare ** 0 1 0 1
19BI753 FE Wearable Technologies – Energy Expenditure and Energy Harvesting ** 0 1 0 1
** Based on the recent trends and the relevant IEEE/ACM Journals and selected case studies
Eligibility

Academics

Duration: Two years

Eligibility Criteria

Applicants should have any of the following, scoring a minimum of 60% with a pass. Bachelor’s degree in Engineering / Technology (including the final year students awaiting the results) Master’s degree in any branch of Science / Mathematics / Statistics / Computer Applications  Professional Society Examinations recognised by MHRD / UPSC / AICTE equivalent to B.E. / B.Tech / B. Arch

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

Graduates in Biomedical Instrumentation program will be able to:

  1. Apply knowledge of mathematics, science and engineering in biomedical area.
  2. Design and develop healthcare-instruments using modern and innovative engineering technologies.
  3. Analyze the data in various domains and learn the features for possible predictions in health condition.
  4. Work in multi-disciplinary teams to bring innovation in health care application.
  5. Practice intellectual integrity, ethical research, and become capable of fabricating functional prototypes leading to patenting and technology transfer
Thrust Areas in Research
  • Low Cost Health Care Systems and Solutions.
  • Signal Processing
  • Embedded Systems
  • Stochastic Process

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

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 2020

141

BRICS Rankings 2020

801–1000th

World University Rankings 2020

168th

BRICS University Rankings 2020

5th

India University Rankings 2020

12th

Overall Rankings 2020
ranking
5th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade
Admissions Apply Now