BME701 BioSignal Processing B.Tech Question Paper : wbut.ac.in
Name of the University : West Bengal University of Technology
Department : Biomedical Engineering
Degree : B.Tech
Sem : VII
Subject Code/Name : BME-701/Bio-Signal Processing
Website : wbut.ac.in
Document Type : Previous Year Examination Question Paper
Download Model/Sample Question Paper :
2009 : https://www.pdfquestion.in/uploads/qpaper.wbut.ac.in/6669-2009BME-701-(S).pdf
2010 : https://www.pdfquestion.in/uploads/qpaper.wbut.ac.in/6669-2010BME-701.pdf
2011 : https://www.pdfquestion.in/uploads/qpaper.wbut.ac.in/6669-2011BME-701(1).pdf
2012 : https://www.pdfquestion.in/uploads/qpaper.wbut.ac.in/6669-2012BME-701(2).pdf
Bio-Signal Processing Question Paper :
Semester – 7 :
Time : 3 Hours
Full Marks : 70
** The figures in the margin indicate full marks.
** Candidates are required to give their answers in their own words as far as practicable.
Related : West Bengal University of Technology BME702 Artificial Organs & Rehabilitation Engineering B.Tech Question Paper : www.pdfquestion.in/6668.html
GROUP – A : ( Multiple Choice Type Questions )
1. Choose the correct alternatives for any ten of the following : 10 8 1 = 10
i) The number of data samples needed in Prony’s method involves fitting p exponentials is
a) p b) p/2
c) 2p d) p 2 .
ii) The mean square estimation error of a signal is estimated by
a) convolution b) cross-correlation
c) auto-correlation d) none of these.
iii) The AZTEC algorithm converts raw ECG samples into
a) lines and dots b) dots and plateaus
c) points and curves d) slopes and plateaus.
iv) The signal averaging technique is used to
a) increase the SNR
b) decrease the SNR
c) increase the amplitude of the signal
d) decrease the amplitude of the signal.
v) Data compression technique
a) increase the image quality
b) decrease the image quality
c) first increase then decrease the image quality
d) does not affect the image quality.
vi) In linear prediction filter, its inverse filter transfer function H ( z ) characterized by the representation of
a) all zero b) all poles
c) poles and zeros d) none of these.
vii) Stage-3 of sleep is characterized by
a) low voltage of 2-7 Hz with occasional sharp vertical wave
b) sharp spindles and K-complexes
c) Delta wave exceeding 75µV with 20-50% of tme
d) Delta wave exceeding 75µV with greater than 50% of tme.
viii) The signals are said to be fully correlated if
a) there wave shapes does not match
b) there wave shapes tending to match
c) there wave shapes completely match
d) none of these.
ix) The Prony spectrum of the prosthetic mitral heart valve sound is characterized by …………. peaks.
a) six b) four
c) two d) three
e) many.
x) Which of the following weight ajdustment formulas corresponds to the steepest descent algorithm ?
a) h ( n + 1 ) = ( 1 – 2µ ) h ( n ) + 2µh opt
b) h ( n + 1 ) = ( 1 – 2µ ) h ( n ) + 2µr
c) h ( n + 1 ) = ( 1 – 2µ ) h ( n ) + 2µR h
d) h ( n + 1 ) = ( 1 – 2µ ) h ( n ) – 2µh opt .
xi) Low pass filter transfer function H ( z ) for high speed QRS detection technique is
a) ( 1 – z – 6 )/( 1 – z – 1 ) b) ( 1 – z – 6 ) 2 /( 1 – z – 1 ) 2
c) ( 1 – z – 32 )/( 1 – z – 1 ) d) ( 1 – z – 16 )/( 1 – z – 1 ).
xii) Adaptive filters are basically
a) Low pass filters b) Notch filters
c) Noise cancellers d) None of these.
xiii) In Linear Prediction model the present probability is predicted from its
a) Previous output b) Past value
c) Current value d) None of these.
GROUP – B : ( Short Answer Type Questions )
Answer any three of the following. 3 8 5 = 15
2. What is the meaning of noise in physiological signals ? Define Johnson noise with its mathematical expression. 1 + ( 2 + 2 )
4. After applying AZTEC algorithm to a signal. The saved array is
{ 4, 50, – 4, 30, – 6, 40, – 6, 25, – 4, 50, 2, 50 }
a) Reconstruct the signal waveform.
b) What is the peak-to-peak amplitude of the signal reconstructed from the data ?
c) What is the amount of data compression achieved ? 2 + 1
5. Describe cepstral analysis of a biosignal. 5
6. Write a note on feature extraction and pattern recognition of ECG. 5
7. What are the different types of arrhythmia encountered in human physiology ? 5
GROUP – C : ( Long Answer Type Questions )
Answer any three of the following. 3 * 15 = 45
8. How the ECG signal is generated ? What are the different parameters of an ECG wave ? Describe shortly the QRS detection technique. 2 + 3 + 10
9. Show the different lead system of the ECG wave. Briefly describe the Turning Point algorithm. 5 + 10
10. What is auto correlation function ? Give the different frequency range of the EEG spectra. Shortly discuss about linear prediction theory for EEG analysis. 2 + 3 + 10
11. Briefly describe about the Data Acquisition System and make the classification of different sleep stages. Briefly describe about the Hypnogram Model parameter. 8 + 7
12. Briefly discuss how the EMG signal is recorded. Describe about signal averaging technique. Discuss about arrhythmia analysis monitoring. 5 + 5 + 5
13. Write notes on the following : 3 * 5
a) Data acquisition of EMG signal
b) Dynamics of sleep-wake transitions
c) Properties of Linear Prediction Theory