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TECHNOLOGIES FOR MOTOR BEHAVIOUR ANALYSIS AND VIRTUAL MODELLING June 25, 2020 Written Test. Max points 165 (equivalent to 33/30). Min points 90/165 (equivalent to 18/30). Duration 90 minutes QUESTION 1 [5/165] You want to detect the activity of the medial gastrocnemius (left leg) of a patient to monitor the rehabilitation after a sport trauma. Choose the most opportune electrode type and motivate the answer. Suggest at least one approach to reduce the effect of electromagnetic interference on the connecting cables. QUESTION 2 [5/165] Referring to the previous question, choose the best electrode placement. • a • b • c • d • None of the above QUESTION 3 [6/165] Describe possible sources of noise of EMG signal after acquisition and sugge st solutions to remove them by filtering. QUESTION 4 [6/165] List the step to extract the envelope of the EMG signal. QUESTION 5 [6/165] Dimension a 1st order high pass filter to eliminate the low-frequency components of the EMG signal. QUESTION 6 [10/165] You acquired electromyographic activity of three subjects with a concentric needle electrode placed into the tibialis anterior muscle. Results of MUAPTs are shown in the figure. What can you deduce from the EMG activities? What are the most common diagnostic parameters used to detect pathologies? QUESTION 7 [5/165] IMU mounted magnetometers measure • Gravity acceleration vector via Hall principle • Direction (inclination and declination) and intensity of the local Earth magnetic field • Solar magnetic field via Hall effect • Electrical atmospheric fields by Hall effect • Inclination and declination of gravity acceleration vector via Coriolis acceleration QUESTION 8 [5/165] Consider the intrinsic and extrinsic camera calibration problem. In the case of two focal lengths present o n x and…