Bio Medical Signal Processing (BEC056) - AKTU Question Paper 2024-25
B.Tech · Semester 5 · Free PDF Download
This is the official AKTU Bio Medical Signal Processing Previous Year Question Paper for B.Tech Semester 5, 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 5
Session:2024-25
University:AKTU / UPTU
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Questions Asked in 2024-25
Bio Medical Signal Processing (BEC056) — extracted question text · 70 marks · 3 Hours
Section AAttempt all questions in brief. 2 x 0 7 = 1 4
- aDefine bio-medical signals?
- bList the difficulties faced during the acquisition of bio-medi cal signals
- cDefine portable arrhythmia monitors
- dExplain ST segment analysis and its clinical relevance
- eExamine the main objective of d ata reduction in bio-medical si gnal processing?
- fDescribe the linear prediction theory in the context of EEG an alysis
- gList the general structures of adaptive filters
Section BAttempt any three of the following: 07 x 3 = 07
- aExplain the classification of b io-medical signals and their acquisition methods
- bExplain the methods used for QRS detection in ECG signals. 2 K 2
- cExplore the Turning Point algorithms for data reduction. 3 K 3
- dExplain the maximum entropy method and AR method for EEG ana lysis
- eExplain signal aver aging and its role in evoked potential estimation
Section CAttempt any one part of the following: 07 x 1 = 07
- aDescribe the challenges encou ntered during the acquisition o f bio-medical signals
- bExplain the basics of electrocardiography (ECG) and electroe ncephalography (EEG)
- aIllustrate the techniques used to remove baseline wander in ECG signals
- bExplore the working of portable arrhythmia monitors and thei r clinical importance
- aExplain the Fan algorithm an d its application in bio-medical signal processing
- bExplain Huffman and modified Huffman coding techniques
- aIllustrate the dynam ics of sleep/wake transition in EEG signals
- bExplain the charact e r i s t i c s o f b r a i n w a v e s a n d t h e i r r e l e v a nce in epilepsy detection
- aExplain the concept of adaptiv e wavelet detection and its advantages
- bIllustrate the matched filteri ng technique for the detection of overlapping wavelets
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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