B.TechSemester 82023-24Bio Medical Signal ProcessingKOE082
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Bio Medical Signal Processing (KOE082) - AKTU Question Paper 2023-24

B.Tech · Semester 8 · Free PDF Download

This is the official AKTU Bio Medical Signal Processing Previous Year Question Paper for B.Tech Semester 8, academic session 2023-24. 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:2023-24
University:AKTU / UPTU

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Questions Asked in 2023-24

Bio Medical Signal Processing (KOE082) — complete question paper · 100 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 2 x 10 = 20
  • a
    How do computers contribute to the analysis and processing of biomedical signals?
  • b
    Define Electro-Retinography (ERG) 02 1
  • c
    What is the purpose of portable arrhythmia monitors? 02 2
  • d
    What does ECG measure? 02 2
  • e
    Explain the purpose of Huffman coding in data reduction. 02 3
  • f
    What is run-length coding used for? 02 3
  • g
    What is epilepsy transition? 02 4
  • h
    What is a periodogram in EEG spectral analysis? 02 4 i. How does signal averaging improve EP estimation? 02 5 j. What is adaptive noise cancelling? 02 5
Section BAttempt any three o f t h e f o l l o w i n g : 3 x 10 = 30
  • a
    Discuss the process of acquiring biomedical signals. Explain the difficulties encountered during the acquisition of biomedical signals
  • b
    Explain different methods for QRS detection in ECG signals 10 2
  • c
    Explain the Turning Point algorithm for data reduction. How does it work, and what are its key features?
  • d
    Explain the importance of neurological signal processing in analyzing EEG signals. How does EEG differ from other biomedical signals, and what are its unique characteristics?
  • e
    Explain the concept of signal averaging in EP estimation. How does averaging improve the signal-to-noise ratio?
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 1 x 10 = 10
  • a
    Explain the process of acquiring an ECG signal. Discuss the techniques used to improve signal quality
  • b
    Describe Electro-Retinography (ERG) and its significance in ophthalmology. How is ERG used to assess retinal function and diagnose eye diseases?
  • a
    Explain the sources of baseline wander and power line interf erences in ECG signals. How do these artifacts affect the accuracy of ECG interpretation?
  • b
    Define arrhythmia and discuss its significance in clinical p ractice. How is arrhythmia detected and diagnosed using ECG signals?
  • a
    Explain how the AZTEC algorithm can be adapted to handle var ious types of biomedical signals, including ECG, EEG, and EMG
  • b
    Explain the process of applying the Fan algorithm to biomedi cal signals. How does it handle signal variati ons and noise while preserving diagnostic information?
  • a
    Explain the dynamics of sleep/wake transition based on EEG s ignals. What changes occur in EEG patterns during the transition from wakefulness to sleep and vice versa?
  • b
    Explain the principles of the Periodogram, Maximum Entropy M ethod (MEM), and Autoregressive (AR) Method for spectral estimation i n EEG analysis
  • a
    Explain the Least Mean Squares (LMS) adaptive filter and its role in EP estimation. How does it update fil ter coefficients to minimize the mean squared error between the estimated and desired signals?
  • b
    Introduce the concept of wavelet detection in EP analysis. W hat advantages does wavelet analysis offer over traditional methods?

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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