Bio Medical Signal Processing (KOE082) - AKTU Question Paper 2024-25
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 2024-25. 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:2024-25
University:AKTU / UPTU
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Questions Asked in 2024-25
Bio Medical Signal Processing (KOE082) — extracted question text · 100 marks · 3 Hours
Section AAttempt all questions in brief. 2 x 10 = 20
- aWhat are the basic characterist ics of biomedical signals?
- bDefine Electroencephalography (EEG) and its clinical importance
- cWhat is the significance of heart sound (phonocardiogram) analysis?
- dDefine the term “baseline wander” in ECG signals
- eWhat is the role of AZTEC algor ithm in signal compression? 3 K 1
- fDefine the concept of signal-to -noise ratio (SNR) in biomedical signals
- gWhat is evoked potential (EP) estimation?
- hDefine Maximum Entropy Method (M EM) in spectral estimation. 4 K1 i. Explain the function of adaptive filtering in EEG signal denoising. 5 K2 j. What are the applications of wavelet transform in biomedical s ignal processing?
Section BAttempt any three of the following: 10 x 3 = 30
- aExplain the types of biomedi cal signals and their acquisitio n methods with examples
- bAnalyze the various technique s used for removal of noise and artifacts in ECG signals
- cDiscuss the Fan and Turning Point algorithms used for data r eduction. Compare their efficiency
- dExplain the importance of EEG signal processing in detecting neurological disorders
- eIllustrate the concept and a dvantages of using adaptive nois e canceling techniques in biomedical signal processing
Section CAttempt any one part of the following: 10 x 1 = 10
- aExamine the methods used for acquiring heart sound signals (Phonocardiogram). Mention challenges involved
- bExplain the principles of Electrooculography (EOG) and its c linical applications
- aExplain various sources of arti facts in EEG signals. How are t h e s e removed to improve signal accuracy?
- bDiscuss the significance of Heart Rate Variability (HRV) ana lysis in clinical diagnosis
- aDemonstrate the working principle of Run-Length Coding and i ts applications in biomedical data compression
- bExplain how Huffman coding is applied to biomedical signals for efficient data reduction
- aDescribe the Maximum Likeliho od Method for spectral estimati on. Discuss its advantages and challenges in the context of biomedi cal signal processing
- bExplain the clinical significa nce of epilepsy detection usin g EEG signal processing methods
- aExplain the Least Squares meth od for adaptive filtering in b iomedical signal applications
- bDiscuss the use of Wavelet Transform in ECG denoising and it s advantages over traditional filtering techniques
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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