Exam Details
Subject | elective – i : biomedical signal processing | |
Paper | ||
Exam / Course | f.y. m.tech. (civil -structural engg.) | |
Department | ||
Organization | solapur university | |
Position | ||
Exam Date | 12, December, 2018 | |
City, State | maharashtra, solapur |
Question Paper
F.Y. M.Tech. (Electronics and Telecommunication Engineering)
(Semester (New CBCS) Examination, 2018
Elective I BIOMEDICAL SIGNAL PROCESSING
Day and Date Wednesday, 12-12-2018 Max. Marks 70
Time 10.00 a.m. to 1.00 p.m.
Instructions All questions are compulsory.
Figures to the right indicate full marks.
Assume suitable data if necessary.
SECTION I
1. With the help of block diagram explain the concept of adaptive noise cancellation.
How cancellation of high frequency noise in elctro-surgery can be done using
a dual reference adaptive noise canceller 11
2. Solve any two. (2×12=24)
What are different ECG parameters Explain ECG QRS detection techniques.
How estimation of R-R interval can be done using "The Finite First Difference
Method"
Discuss the biomedical signals ENG, EMG, EEG, ERP.
Give conceptual scheme of implementation of a winer filter. Explain the
STEEPESTLDESCENT algorithm.
SECTION II
3. How image enhancement can be done in spatial domain and frequency domain 11
4. Solve any two. (2×12=24)
How frequency domain filtering can be done using Fourier transform Explain
edge detection using spatial and frequency domain approach.
What are advantages of pole zero modeling over all-pole modelling Discuss
pole zero modelling in detail.
Explain advancement in healthcare with magnetic resonance imaging.
(Semester (New CBCS) Examination, 2018
Elective I BIOMEDICAL SIGNAL PROCESSING
Day and Date Wednesday, 12-12-2018 Max. Marks 70
Time 10.00 a.m. to 1.00 p.m.
Instructions All questions are compulsory.
Figures to the right indicate full marks.
Assume suitable data if necessary.
SECTION I
1. With the help of block diagram explain the concept of adaptive noise cancellation.
How cancellation of high frequency noise in elctro-surgery can be done using
a dual reference adaptive noise canceller 11
2. Solve any two. (2×12=24)
What are different ECG parameters Explain ECG QRS detection techniques.
How estimation of R-R interval can be done using "The Finite First Difference
Method"
Discuss the biomedical signals ENG, EMG, EEG, ERP.
Give conceptual scheme of implementation of a winer filter. Explain the
STEEPESTLDESCENT algorithm.
SECTION II
3. How image enhancement can be done in spatial domain and frequency domain 11
4. Solve any two. (2×12=24)
How frequency domain filtering can be done using Fourier transform Explain
edge detection using spatial and frequency domain approach.
What are advantages of pole zero modeling over all-pole modelling Discuss
pole zero modelling in detail.
Explain advancement in healthcare with magnetic resonance imaging.
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