Examsyllabus > Engineering Entrance Exam Syllabus > **GATE Syllabus 2020 for Biomedical Engineering – GATE Exam Syllabus**

# GATE Syllabus 2020 for Biomedical Engineering – GATE Exam Syllabus

**GATE Exam Syllabus 2020 for Biomedical Engineering**

**Section 1: Engineering Mathematics**

**Section 2: Electrical Circuits:**

**Section 3: Signals and Systems**

**Section 4: Analog and Digital Electronics**

**Section 5: Measurements and Control Systems**

**Section 6: Sensors and Instrumentation**

**Section 7: Human Anatomy and Physiology**

**Section 8: Biomechanics**

**Section 9: Medical Imaging Systems**

**Section 10: Biomaterials**

**GATE ****Biomedical Engineering**** Syllabus**: Here we bring you the Gate 2020 Exam Syllabus for Biomedical Engineering subject to prepare for the Graduate Aptitude Test in Engineering (GATE), an all India level examination conducted by the GATE Committee. Check out the GATE Syllabus for Biomedical Engineering and other important aspects of the GATE Exam Biomedical Engineering Syllabus.

**GATE Biomedical Engineering Syllabus**

**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 equation (linear and nonlinear), higher order linear differential equations with constant coefficients, method of variation of parameters, Cauchy’s and Euler’s equations, initial and boundary value problems, solution of partial differential equations: variable separable method.

**Analysis of complex variables:** Analytic functions, Cauchy’s integral theorem and integral formula, Taylor’s and Laurent’s series, residue theorem, solution of integrals.

**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. Regression and correlation analysis.

**Numerical Methods**: Matrix inversion, solutions of nonlinear algebraic equations, iterative methods for solving differential equations, numerical integration.

See: List of GATE Exam subjects for 2020

Voltage and current sources: independent, dependent, ideal and practical; v-i relationships of resistor, inductor, mutual inductor and capacitor; transient analysis of RLC circuits with dc excitation.

Kirchoff’s laws, mesh and nodal analysis, 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, locus diagrams, realization of basic filters with R, L and Clements.

Continuous and Discrete Signal and Systems: Periodic, aperiodic and impulse signals; Sampling theorem; Laplace, Fourier and z-transforms; transfer function, frequency response of first and second order linear time invariant systems, impulse response of systems; convolution, correlation. Discrete time system: impulse response, frequency response, pulse transfer function; DFT; basics of IIR and FIR filters.

Characteristics and applications of diode, Zenerdiode, BJT and MOSFET; small signal analysis of transistor circuits, feedback amplifiers. Characteristics of operational amplifiers; applications of opamps: difference amplifier, adder, subtractor, integrator, differentiator, instrumentation amplifier,buffer.

Combinational logic circuits, minimization of Boolean functions. IC families: TTL and CMOS. Arithmetic circuits, comparators, Schmitt trigger, multi-vibrators, sequential circuits, flip flops, shift registers, timers and counters; sample-and-hold circuit, multiplexer. Characteristics of ADC and DAC (resolution, quantization, significant bits, conversion/settling time); basics of number systems, microprocessor and microcontroller: applications, memory and input- output interfacing; elements of data acquisition 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 engineering – modeling system: transfer function and state-space model, stability analysis:time domain and frequency domain analysis.

Types of Instruments: Resistive-, capacitive-, inductive-, piezoelectric-, Hall Effect sensors and associated signal conditioning circuits; Optical sources and detectors: LED, Photo-diode, p-i-nandavalanchephotodiode (APD), light dependent resistor and their characteristics; basics of magnetic sensing; Interferometer: applications in metrology; basics of fiber optic sensing. Basics of LASERs.

Origin, nature, and types of Biosignals, Principles of sensing physiological parameters, types of

transducers and their characteristics, Electrodes for bioelectric signals, Bioelectric signals and their characteristics. Biopotential Amplifiers, Noiseandarte facts and their management, Electrical Isolation (optical and electrical) and Safety of Biomedical Instruments. Generation, Acquisition, and signal conditioning and analysis of biosignals: ECG, EMG, EEG, EOG, Blood ERG, PCG, GSR. Principles of measuring blood pressure, Core temperature, volume & flow in arteries, veins and tissues – Lung volumes, respiration and cardiac rate.

Basic elements of the human body-musculoskeletal system, respiratory system, circulatory system, excretory system, endocrine system, nervous system, digestive, nervous, immune, integumentary, and reproductive systems, Basics of cell and molecular biology.

**Engineering Mechanics**: Free-body diagrams and equilibrium; trusses and frames; virtual work; kinematics and dynamics of particles and of rigid bodies in plane motion; impulse and momentum (linear and angular) and energy formulations, collisions.

**Hard Tissues**: Definition of Stress and Strain; Deformation Mechanics. Bone structure & composition mechanical properties of bone, cortical and cancellous bones, viscoelastic properties, Maxwell & Voight models – anisotropy, Fatigue Analysis,

**Soft Tissues**: Structure, functions, material properties and modeling of Soft Tissues: Cartilage, Tendon, Ligament, Muscle – Hodgkin-Huxley Model.

**Human Joints and Movements**: Skeletal joints, forces and stresses in human joints, types of joint, biomechanical analysis joints, parameterization and analysis in Gait,

**Biofluid Mechanics:** Flow properties of blood, Dynamics of fluid flow in the intact human cardiovascular system – modeling and experimental approaches, Pulse wave velocities in arteries, Measurement/Estimation of In-vivo elasticity of blood vessels,

Basic physics and Instrumentation of medical images in X-Ray, Ultrasound, CT, MRI, PET, FMRI, SPECT, and their characteristics.

Basic properties of biomaterials, biocompatibility, bioactivity, biodegradable materials, Fundamentals of implants and medical devices, drug delivery carriers, scaffolds for tissue engineering.

**Also See:**

- GATE 2020 Exam Syllabus
- GATE Syllabus for Electrical Engineering
- GATE Syllabus for Mechanical Engineering
- GATE Exam Syllabus for Mathematics
- GATE Syllabus for Physics
- GATE Syllabus for Thermodynamics
- GATE Syllabus for Chemistry
- GATE Syllabus for Production and Industrial Engineering
- GATE Syllabus for Solid Mechanics
- GATE Exam Textile Engineering and Fibre Science Syllabus
- GATE Civil Engineering Syllabus
- GATE Syllabus for Materials Science
- GATE Syllabus for Botany
- GATE Syllabus for Chemistry

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