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By selecting an appropriate filter, these data will be filtered.
Depending on the locations of the points digitized, a decimation procedure is applied such that some of the digitizing data will be filtered out.
The raw coordinate data will be filtered using an optimised cut off frequency.
Torque data will be filtered using a Butterworth low-pass filter (cut-off frequency: 6 Hz), and the gravity adjusted.
For measuring all of the COP parameters, raw data will be filtered using a fourth-order Butterworth, zero-phase low-pass at 10 Hz.
Kinetic and kinematic data will be filtered using 4th order Butterworth low-pass filters with cut-off frequencies of 50 Hz and 12 Hz, respectively.
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In addition, as a side effect of the data reduction method, poor quality measurements will be filtered and the overall SNR will improve.
Such posts will be filtered and deleted by algorithms.
GPS data will be cleaned, filtered and merged with accelerometer data using the Personal Activity Location Measurement System (PALMS, refer to: https://ucsd-palms-project.wikispaces.com).
Raw EMG data will be high-pass filtered at 100 Hz to remove heart rate artefact from the signal and then full-wave rectified and low-pass filtered (4th order Butterworth filter) at 20 Hz.
Both the MVIC and trial EMG data will be processed with a linear envelope before filtering by a Butterworth filter (fourth-order, zero-phase shift, cut off frequency of 20 Hz).
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