B.TechSemester 82022-23Biomedical Signal ProcessingKOE-082
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Biomedical Signal Processing (KOE-082) - AKTU Question Paper 2022-23

B.Tech · Semester 8 · Free PDF Download

This is the official AKTU Biomedical Signal Processing Previous Year Question Paper for B.Tech Semester 8, academic session 2022-23. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 8
Session:2022-23
University:AKTU / UPTU

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Questions Asked in 2022-23

Biomedical Signal Processing (KOE-082) — extracted question text

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    Differentiate between general purpose microprocessors and DSP
  • b
    What are the dominant frequencies in sleep EEG and their nomenclature?
  • c
    What is QRS complex?
  • d
    What is the use of FAN algorithm?
  • e
    What is meant by EP estimation?
  • f
    What the different patterns of brain wave?
  • g
    Define action potential and resting potential
  • h
    What is the need of data reduction in biomedical signal processing? (i) What do you mean by sleep EEG? (j) What are the different types of biomedical signals?
Section BAttempt any three of the following: 10x3=30
  • a
    With a neat block diagram, explain the objectives of biomedical signal analysis
  • b
    Explain briefly about portable arrhythmia monitor with a neat sketch
  • c
    Explain three approaches for QRS detection?
  • d
    Explain briefly the different methods of EEG analysis by spectral estimation
  • e
    What is adaptive wavelet detection? Explain the detection of overlapping wavelets
Section CAttempt any one part of the following: 10x1=10
  • b
    Given a biomedical signal, identify discrete signal epochs and correlate them with events in the related physiological processes
  • a
    What is the importance of signal averaging? Explain with block diagram the typical signal average. Draw the flow chart for averaging an ECG signal
  • b
    Explain the meaning of lossless and lossy data comp ression. Classify the data reduction algorithms. Give the algorithm for anyone of the lossless techniques
  • a
    Explain why an AZTEC reconstructed waveform is unac ceptable to a cardiologist. Suggest ways to eliminate the problem
  • b
    Justify the Markov model for studying sleep EEG. Wh y it may not be appropriate when dealing with influence Factors that affect sleep? Explain
  • b
    Explain the removal of baseline wander and power line interference from ECG
  • a
    Describe transition, detection and estimation of Epilepsy in detail
  • b
    In a signal averaging application, the noise amplit ude is initially 4 times as large as the signal amplitude. How many sweeps must be avera ged to give resulting signal to noise ratio of 4:1?

Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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