6. (i) How the method of polynomial fitting can be used to remove baseline wander from
an ECG signal. (5)
(ii) Devise a method for the detection of epileptic seizures in EEG signals. (4)
(9 x 2 = 18 marks)
PART ९

7. (i) Explain any one method for the analysis of EEG signals with regard to both time and

frequency. (6)
(ii) How signal processing techniques helps in EMG waveform decomposition? (6)

8. (i) How matched filters can be used in the waveform analysis of EEG? (6)

(11) What is the need for a time varying amplitude estimate of surface EMG signals? How it is

achieved? (6)

9. (i) Write notes on recording of myoelectric signals. (4) (ii) Give details of any one EEG
segmentation scheme which is based on nonparametric

estimation of the signal statistics? (8)

(12 x 2 = 24 marks)