(ii) How muscle noise encountered during ECG acquisition can be rectified using
signal processing technique? (4)
(i) How could we improve the performance ofthe basic first order difference operator as
a filter to remove low frequency noise or baseline wander without distorting the

QRS complex? (6)
(ii)Write short notes on brain computer interface. (3)
(i) Purpose a method for detection of spike and wave complexes (indicators of

epileptic seizures) in EEG signals. (3) (ii) Devise a suitable method to detect RR-

interval for an arrhythmia classification system. (6)

PART C

(i) Explain correlation analysis of EEG channels. Propose a method to detect the
presence Of the a rhythm in an EEG channel. How would you extend the method to
detect the presence of the same rhythm simultaneously in two EEG channels ? (6)

(11) Discuss on the methods to remove artifacts in EEG signals. (6)

(i) How matched filters can be used in the waveform analysis of EEG? (6)
(ii)How amplitude estimation of surface EMG signals can be done? (6)

(i) Why are model based approaches preferred in EEG analysis? (3)

(11) Justify the use of linear prediction analysis in EEG modeling. (3)

(1ii)How signal processing techniques helps in EMG waveform decomposition (6)