ACS College of Engineering Department of Biomedical Engineering. BMDSP LAB (10BML77) Pre lab Questions ( ) Cycle-1

Similar documents
Digital Filtering: Realization

BIOMEDICAL DIGITAL SIGNAL PROCESSING

COMPARISON OF VARIOUS FILTERING TECHNIQUES USED FOR REMOVING HIGH FREQUENCY NOISE IN ECG SIGNAL

Improving ECG Signal using Nuttall Window-Based FIR Filter

NOISE REDUCTION TECHNIQUES IN ECG USING DIFFERENT METHODS Prof. Kunal Patil 1, Prof. Rajendra Desale 2, Prof. Yogesh Ravandle 3

Adaptive Detection and Classification of Life Threatening Arrhythmias in ECG Signals Using Neuro SVM Agnesa.A 1 and Shally.S.P 2

ELEC3104: Digital Signal Processing Session 1, 2013 LABORATORY 3: IMPULSE RESPONSE, FREQUENCY RESPONSE AND POLES/ZEROS OF SYSTEMS

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

ECG Signal Denoising Using Digital Filter and Adaptive Filter

ece 429/529 digital signal processing robin n. strickland ece dept, university of arizona ECE 429/529 RNS

PROCESSING ECG SIGNAL WITH KAISER WINDOW- BASED FIR DIGITAL FILTERS

A Finite Impulse Response (FIR) Filtering Technique for Enhancement of Electroencephalographic (EEG) Signal

Enhancing Electrocadiographic Signal Processing Using Sine- Windowed Filtering Technique

Signal Processing Toolbox

FPGA Based Notch Filter to Remove PLI Noise from ECG

The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1

CANCELLATION OF ARTIFACTS FROM CARDIAC SIGNALS USING ADAPTIVE FILTER LMS,NLMS AND CSLMS ALGORITHM

DIGITAL FINITE IMPULSE RESPONSE NOTCH FILTER WITH NON-ZERO INITIAL CONDITIONS, BASED ON AN INFINITE IMPULSE RESPONSE PROTOTYPE FILTER

ESE531 Spring University of Pennsylvania Department of Electrical and System Engineering Digital Signal Processing

Implementation and Comparison of Low Pass FIR Filter on FPGA Using Different Techniques

BIOMEDICAL SIGNAL PROCESSING (BMSP) TOOLS

Lecture 4 Biosignal Processing. Digital Signal Processing and Analysis in Biomedical Systems

Noise Reduction Technique for ECG Signals Using Adaptive Filters

DIGITAL SIGNAL PROCESSING TOOLS VERSION 4.0

Designing and Implementation of Digital Filter for Power line Interference Suppression

CHAPTER 2 FIR ARCHITECTURE FOR THE FILTER BANK OF SPEECH PROCESSOR

Suppression of Noise in ECG Signal Using Low pass IIR Filters

Noise removal example. Today s topic. Digital Signal Processing. Lecture 3. Application Specific Integrated Circuits for

IMPLEMENTATION OF DIGITAL FILTER ON FPGA FOR ECG SIGNAL PROCESSING

ADAPTIVE IIR FILTER FOR TRACKING AND FREQUENCY ESTIMATION OF ELECTROCARDIOGRAM SIGNALS HARMONICALLY

Filters. Phani Chavali

UNIVERSITY OF SWAZILAND

Lakehead University. Department of Electrical Engineering

Changing the sampling rate

(i) Understanding the basic concepts of signal modeling, correlation, maximum likelihood estimation, least squares and iterative numerical methods

B.Tech III Year II Semester (R13) Regular & Supplementary Examinations May/June 2017 DIGITAL SIGNAL PROCESSING (Common to ECE and EIE)

INTEGRATED APPROACH TO ECG SIGNAL PROCESSING

AIVC #13,303 PRE-PROCESSOR FOR VENTILATION MEASUREMENT ANALYSIS. Heekwan Lee and Hazim B. Awbi

The University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam

International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS)

Review on Design & Realization of Adaptive Noise Canceller on Digital Signal Processor

Power Line Interference Removal from ECG Signal using Adaptive Filter

System Identification and CDMA Communication

Available online at ScienceDirect. Procedia Computer Science 57 (2015 ) A.R. Verma,Y.Singh

Word length Optimization for Fir Filter Coefficient in Electrocardiogram Filtering

Detection of Abnormalities in Fetal by non invasive Fetal Heart Rate Monitoring System

Florida Atlantic University Biomedical Signal Processing Lab Experiment 2 Signal Transduction: Building an analog Electrocardiogram (ECG)

Multirate Digital Signal Processing

2018 American Journal of Engineering Research (AJER)

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

Problem Point Value Your score Topic 1 28 Discrete-Time Filter Analysis 2 24 Improving Signal Quality 3 24 Filter Bank Design 4 24 Potpourri Total 100

Digital Signal Processing

Performance Comparison of Various Digital Filters for Elimination of Power Line Interference from ECG Signal

Removal of Artifacts from ECG Signal Using CSLMS Algorithm Based Adaptive Filter : A Review

Digital Signal Processing Lecture 1

Lecture 3 Review of Signals and Systems: Part 2. EE4900/EE6720 Digital Communications

1. Find the magnitude and phase response of an FIR filter represented by the difference equation y(n)= 0.5 x(n) x(n-1)

E C E S I G N A L S A N D S Y S T E M S. ECE 2221 Signals and Systems, Sem /2011, Dr. Sigit Jarot

Lab S-9: Interference Removal from Electro-Cardiogram (ECG) Signals

UNIVERSITY OF CALGARY DEPARTMENT OF ELECTRICAL & COMPUTER ENGINEERING BIOMEDICAL SIGNAL ANALYSIS ENEL 563

DSP Laboratory (EELE 4110) Lab#11 Implement FIR filters on TMS320C6711 DSK.

Outline. Introduction to Biosignal Processing. Overview of Signals. Measurement Systems. -Filtering -Acquisition Systems (Quantisation and Sampling)

Development and Analysis of ECG Data Compression Schemes

Lab 6 - MCU CODEC IIR Filter ReadMeFirst

Overview of Signal Processing

Concordia University. Discrete-Time Signal Processing. Lab Manual (ELEC442) Dr. Wei-Ping Zhu

CHAPTER -2 NOTCH FILTER DESIGN TECHNIQUES

Project 1. Notch filter Fig. 1: (Left) voice signal segment. (Right) segment corrupted by 700-Hz sinusoidal buzz.

Application of Interference Canceller in Bioelectricity Signal Disposing

Digital Filters IIR (& Their Corresponding Analog Filters) Week Date Lecture Title

ECE 429 / 529 Digital Signal Processing

FPGA based Asynchronous FIR Filter Design for ECG Signal Processing

Denoising of ECG Signals Using FIR & IIR Filter: A Performance Analysis

DSP Laboratory (EELE 4110) Lab#10 Finite Impulse Response (FIR) Filters

ELEC3104: Digital Signal Processing Session 1, 2013

RemovalofPowerLineInterferencefromElectrocardiographECGUsingProposedAdaptiveFilterAlgorithm

Biosignal filtering and artifact rejection. Biosignal processing I, S Autumn 2017

SMS045 - DSP Systems in Practice. Lab 1 - Filter Design and Evaluation in MATLAB Due date: Thursday Nov 13, 2003

Keywords: Adaptive Approach, Baseline Wandering, Cubic Spline, ECG, Empirical Mode Decomposition Projection Pursuit, Wavelets. I.

Introduction. Research Article. Md Salah Uddin Farid, Shekh Md Mahmudul Islam*

EE 470 Signals and Systems

(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters

A Novel Approach of Fetal ECG Extraction Using Adaptive Filtering

ECG Data Compression

4. Design of Discrete-Time Filters

Filtration Of Artifacts In ECG Signal Using Rectangular Window-Based Digital Filters

Biosignal filtering and artifact rejection. Biosignal processing, S Autumn 2012

EE 264 DSP Project Report

BME/ECE 463. Computers in Medicine. Answers to Selected Textbook Problems

VLSI Implementation of Separating Fetal ECG Using Adaptive Line Enhancer

REAL-TIME PROCESSING ALGORITHMS

Overview of Digital Signal Processing

Audio Signal Compression using DCT and LPC Techniques

ELEC-C5230 Digitaalisen signaalinkäsittelyn perusteet

Lab 8. Signal Analysis Using Matlab Simulink

A COMPARATIVE ANALYSIS OF DCT AND DWT BASED FOR IMAGE COMPRESSION ON FPGA

! Discrete Time Signals. ! Signal Properties. ! Discrete Time Systems. ! Signals carry information. ! Examples:

COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET) NOISE REDUCTION IN ECG BY IIR FILTERS: A COMPARATIVE STUDY

(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters

Performance Analysis of Feedforward Adaptive Noise Canceller Using Nfxlms Algorithm

Transcription:

ACS College of Engineering Department of Biomedical Engineering BMDSP LAB (10BML77) Pre lab Questions (2015-2016) Cycle-1 1 Expand ECG. 2 Who invented ECG and When? 3 Difference between Electrocardiogram and Electrocardiograph. 4 Difference between Electrodes and Leads. 5 Different types of ECG measurements? 6 What is sampling? Give the need for sampling. 7 Define Up-sampling. 8 Define Down-sampling. 9 What is Sample Rate? 10 Up-sampling and down-sampling are also referred to as? 11 Give the clinical significance of QRS complex 12 Components of ECG waves

Cycle-2 1 What is Correlation. 2 Types of Correlation 3 What is Auto correlation 4 What is Cross- correlation 5 Difference between Auto correlation and cross correlation 6 What is convolution 7 Difference between convolution and correlation Cycle-3 1. Define Signal to Noise ratio 2. What is meant by Signal Averaging 3. What is the need for signal averaging 4. How SNR can be improved 5. Write a algorithm on signal averaging 6. Define Power Spectrum Cycle-4 1 Define compression ratio 2 Abbreviate DCT and IDCT 3 Compression ratio of DCT 4 Importance of DCT 5 Write Compression ratio for each data compression technique 6 Differentiate between lossy and lossless data reduction techniques 7 Importance of AZTEC,TP and FAN

Cycle-5 1 Write the standard equation for IIR filters 2 Write the conditions for stable, unstable and marginally stable systems. 3 Differentiate IIR and FIR filters 4 When are IIR filters used 5 IIR stands for 6 Define Notch Filter 7 Why ECG signal is always corrupted by a 60Hz noise signal 8 Notch filter is also referred to as? 9 What is the frequency response for Notch filter 10 Explain Kaiser Window with necessary equations 11 Explain the function of FIR1 inbuilt command of MATLAB 12 What do you mean by frequency response 13 Write the standard equation for FIR filters 14 When are FIR filters used? 15 Different ways of designing FIR filters

ACS College of Engineering Department of Biomedical Engineering BMDSP LAB (10BML77) Pre lab Questions (2016-2017) Cycle-1 1 Expand ECG. 2 Who invented ECG and When? 3 Difference between Electrocardiogram and Electrocardiograph. 4 Difference between Electrodes and Leads. 5 Different types of ECG measurements? 6 What is sampling? Give the need for sampling. 7 Define Up-sampling. 8 Define Down-sampling. 9 Up-sampling and down-sampling are also referred to as? 10 Give the clinical significance of QRS complex 11 Components of ECG waves 1 Write a Matlab program to display EEG signal 2 Write a Matlab program to up-sample a ECG signal by a factor 2 3 Write a Matlab program to down-sample a ECG signal by a factor 4 4 Write a Matlab Program to determine whether the given ECG signal is normal or arrhythmic

Cycle-2 1 What is Correlation. 2 Types of Correlation 3 What is Auto correlation 4 What is Cross- correlation 5 Difference between Auto correlation and cross correlation 6 What is convolution 1 Write a Matlab program to correlate two same and different signals using convolution command 2 Write a Matlab program to perform convolution of sequences { 1,2,4,6,2} and {2,4,6,8} 3 Write a Matlab program to perform auto correlation of sequences {1,3,5,7,8} 4 Write a Matlab program to perform cross correlation of sequences {1,2,3,4} and {4,3,2,1}

Cycle-3 1. Define Signal to Noise ratio 2. What is meant by Signal Averaging 3. What is the need for signal averaging 4. How SNR can be improved 5. Define Power Spectrum 1 Write a Matlab program to display SNR and to improve it. Cycle-4 1 Define compression ratio 2 Abbreviate DCT and IDCT 3 Compression ratio of DCT 4 Importance of DCT 5 Write Compression ratio for each data compression technique 6 Importance of AZTEC, TP and FAN 1 Write a Matlab program to display a compression ratio of a ECG signal using DCT

Cycle-5 1 Write the standard equation for IIR filters 2 Write the conditions for stable, unstable and marginally stable systems. 3 Differentiate IIR and FIR filters 4 When are IIR filters used 5 Define Notch Filter 6 Why ECG signal is always corrupted by a 60Hz noise signal 7 Notch filter is also referred to as? 8 What is the frequency response for Notch filter 9 Explain Kaiser Window with necessary equations 10 Explain the function of FIR1 inbuilt command of MATLAB 11 What do you mean by frequency response? 12 Write the standard equation for FIR filters 13 When are FIR filters used? 14 Different ways of designing FIR filters 1 Design IIR filter to check for stability for the given difference equation Y(n)=x(n)-2y(n-1) 2 Design IIR filter to check for stability for the given difference equation Y(n)-5/6y(n-1)+1/6y(n-2)=x(n) 3 Write a Matlab Program to design a 50 Hz Notch filter for ECG signal

ACS College of Engineering Department of Biomedical Engineering BMDSP LAB (10BML77) Pre lab Questions (2017-2018) Cycle-1 1 Expand ECG. 2 Who invented ECG and When? 3 Difference between Electrocardiogram and Electrocardiograph. 4 Difference between Electrodes and Leads. 5 Different types of ECG measurements? 6 What is sampling? Give the need for sampling. 7 Define Up-sampling. 8 Define Down-sampling. 9 Up-sampling and down-sampling are also referred to as? 10 Give the clinical significance of QRS complex 11 Components of ECG waves 1 Write a Matlab program to display EEG signal 2 Write a Matlab program to up-sample a ECG signal by a factor 2 3 Write a Matlab Program to determine whether the given ECG signal is normal or arrhythmic

Cycle-2 1 What is Correlation. 2 Types of Correlation 3 What is Auto correlation 4 What is Cross- correlation 5 Difference between Auto correlation and cross correlation 1 Write a Matlab program to correlate two same and different signals using convolution command 2 Write a Matlab program to perform convolution of sequences { 1,2,4,6,2} and {2,4,6,8} 3 Write a Matlab program to perform auto correlation of sequences {1,3,5,7,8} 4 Write a Matlab program to perform cross correlation of sequences {1,2,3,4} and {4,3,2,1}

Cycle-3 1. Define Signal to Noise ratio 2. What is meant by Signal Averaging 3. What is the need for signal averaging 4. How SNR can be improved 5. Define Power Spectrum 1 Write a Matlab program to display SNR and to improve it. Cycle-4 1 Define compression ratio 2 Abbreviate DCT and IDCT 3 Compression ratio of DCT 4 Importance of DCT 5 Write Compression ratio for each data compression technique 6 Importance of AZTEC, TP and FAN 1 Write a Matlab program to display a compression ratio of a ECG signal using DCT

Cycle-5 1 Write the standard equation for IIR filters 2 Write the conditions for stable, unstable and marginally stable systems. 3 Differentiate IIR and FIR filters 4 When are IIR filters used? 5 Define Notch Filter 6 Why ECG signal is always corrupted by a 60Hz noise signal 7 Notch filter is also referred to as? 8 What is the frequency response for Notch Filter? 9 Explain Kaiser Window with necessary equations 10 Explain the function of FIR1 inbuilt command of MATLAB 11 What do you mean by frequency response? 12 Write the standard equation for FIR filters 13 When are FIR filters used? 14 Different ways of designing FIR filters 1 Design IIR filter to check for stability for the given difference equation Y(n)=x(n)-2y(n-1) 2 Design IIR filter to check for stability for the given difference equation Y(n)-5/6y(n-1)+1/6y(n-2)=x(n) 3 Write a Matlab Program to design a 50 Hz Notch filter for ECG signal 4 Write a Matlab Program to design a 100 Hz Notch filter for ECG signal