GATE Syllabus 2024 for BM Paper: The Indian Institute of Science (gate.iisc.ac.in), Bangalore, the organising institute officially released complete syllabus of Biomedical Engineering (BM) Paper for GATE 2024 exams.
The syllabus of paper BM (Biomedical Engineering) has been divided into ten parts. The corresponding parts of the question paper contain different topics.
You may download GATE admit card and GATE exam schedule for paper Biomedical Engineering for appearing in the Graduate Aptitude Test in Engineering for the year 2024.
GATE 2024 Paper Pattern for Biomedical Engineering:
| Paper | Biomedical Engineering |
|---|---|
| Paper Code | BM |
| Examination Mode | Computer Based Test (CBT) |
| Duration | 3 Hours (180 Minutes) |
| Type of Questions | (a) Multiple Choice Questions (MCQ) (b) Multiple Select Questions (MSQ) and/or Numerical Answer Type (NAT) Questions |
| Marking Scheme | Questions carry 1 mark and 2 marks |
| Negative Marking | For a wrong answer chosen in a MCQ, there will be negative marking. For 1-mark MCQ: 1/3 mark will be deducted for a wrong answer. For 2-mark MCQ: 2/3 mark will be deducted for a wrong answer. NO negative marking for MSQ & NAT. |
| Number of Questions | 10 (GA) + 55 (subject) = 65 Questions |
| General Aptitude (GA) Marks | 15 Marks |
| Subject Marks | 85 Marks |
| Total Marks | 100 Marks |
Engineering Mathematics
| Topics | GATE 2024 Syllabus of Engineering Mathematics |
|---|---|
| Linear Algebra | Matrix algebra, systems of linear equations, Eigenvalues and Eigenvectors. |
| Calculus | Mean value theorems, theorems of integral calculus, partial derivatives, maxima and minima, multiple integrals, Fourier series, vector identities, line, surface and volume integrals, Stokes, Gauss and Green’s theorems. |
| Differential equations | First order linear and nonlinear differential equations, higher order linear differential equations with constant coefficients, method of separation of variables, Cauchy’s and Euler’s equations, initial and boundary value problems, solution of partial differential equations. |
| Analysis of complex variables | Analytic functions, Cauchy’s integral theorem and integral formula, Taylor’s and Laurent’s series, residue theorem. |
| Probability and Statistics | Sampling theorems, conditional probability, mean, median, mode and standard deviation, random variables, discrete and continuous distributions: normal, Poisson and binomial distributions. Tests of Significance, statistical power analysis, and sample size estimation. Linear Regression and correlation analysis; |
| Numerical Methods | Matrix inversion, numerical solutions of nonlinear algebraic equations, iterative methods for solving differential equations, numerical integration. |
Electrical Circuits
Voltage and current sources – independent, dependent, ideal and practical; v-i relationships of resistor, inductor and capacitor; transient analysis of RLC circuits with dc excitation; Kirchoff’s laws, superposition, Thevenin, Norton, maximum power transfer and reciprocity theorems; Peak, average and rms values of ac quantities; apparent, active and reactive powers; phasor analysis, impedance and admittance; series and parallel resonance, realization of basic filters with R, L and C elements, Bode plot.
Signals and Systems
Continuous and Discrete Signal and Systems – Periodic, aperiodic and impulse signals; Sampling theorem; Laplace and Fourier transforms; impulse response of systems; transfer function, frequency response of first and second order linear time invariant systems, convolution, correlation. Discrete time systems – impulse response, frequency response, DFT, Z – transform; basics of IIR and FIR filters.
Analog and Digital Electronics
Basic characteristics and applications of diode, BJT and MOSFET; Characteristics and applications of operational amplifiers – difference amplifier, adder, subtractor, integrator, differentiator, instrumentation amplifier, buffer, filters and waveform generators. Number systems, Boolean algebra; combinational logic circuits – arithmetic circuits, comparators, Schmitt trigger, encoder/decoder, MUX/DEMUX, multi-vibrators; Sequential circuits – latches and flip flops, state diagrams, shift registers and counters; Principles of ADC and DAC; Microprocessor- architecture, interfacing memory and input- output devices.
Measurements and Control Systems
SI units, systematic and random errors in measurement, expression of uncertainty -accuracy and precision index, propagation of errors; PMMC, MI and dynamometer type instruments; dc potentiometer; bridges for measurement of R, L and C, Q-meter. Basics of control system – transfer function.
Sensors and Bioinstrumentation
Sensors – resistive, capacitive, inductive, piezoelectric, Hall effect, electro chemical, optical; Sensor signal conditioning circuits; application of LASER in sensing and therapy. Origin of biopotentials and their measurement techniques – ECG, EEG, EMG, ERG, EOG, GSR, PCG, Principles of measuring blood pressure, body temperature, volume and flow in arteries, veins and tissues, respiratory measurements and cardiac output measurement. Operating principle of medical equipment – sphygmomanometer, ventilator, cardiac pacemaker, defibrillator, pulse oximeter, hemodialyzer Electrical Isolation (optical and electrical) and Safety of Biomedical Instruments.
Human Anatomy and Physiology
Basics of cell, types of tissues and organ systems; Homeostasis; Basics of organ systems – musculoskeletal, respiratory, circulatory, excretory, endocrine, nervous, gastro-intestinal and reproductive.
Medical Imaging Systems
Basic physics, Instrumentation and image formation techniques in medical imaging modalities such as X-Ray, Computed Tomography, Single Photon Emission Computed Tomography, Positron Emission Tomography, Magnetic Resonance Imaging, Ultrasound.
Biomechanics
Kinematics of muscles and joints – free-body diagrams and equilibrium, forces and stresses in joints, biomechanical analysis of joints, Gait analysis; Hard Tissues – Definition of Stress and Strain, Deformation Mechanics, structure and mechanical properties of bone – cortical and cancellous bones; Soft Tissues – Structure, functions, material properties, viscoelastic properties, Maxwell & Voight models; Biofluid mechanics – Flow properties of blood in the intact human cardiovascular system.
Biomaterials
Basic properties of biomaterials – Metallic, Ceramic, Polymeric and Composite; Fundamental characteristics of implants – biocompatibility, bioactivity, biodegradability; Basics of drug delivery; Basics of tissue engineering. Biomaterial characterization techniques – Rheology, Atomic Force Microscopy, Electron Microscopy, Transmission Electron Microscopy Fourier Transform Infrared Spectroscopy.
You may download complete GATE syllabus 2024 for BM Biomedical Engineering in PDF. For more detail, please visit official website GATE2024.IISc.ac.in.