Dear Biomch-L Members,

I decide to apply principal component analysis (PCA) on a series of joint kinematics data (Joint kinematicsâ€™ time series are filtered and 100% time normalized). Data are obtained from two different groups of participants and 5 successful trials for each subject are included. The question is: in the process of PCA, should I estimate the ensemble average of 5 trials for each subject as PCA input or I can use the trials directly without averaging?

If yes, How can I implement ensemble averaging in MatLab?

Any help would be greatly appreciated! And thank you for your time.

Yours sincerely,

Farzaneh Yazdani

PhD Candidate, SUMS School of Rehabilitation Sciences

I decide to apply principal component analysis (PCA) on a series of joint kinematics data (Joint kinematicsâ€™ time series are filtered and 100% time normalized). Data are obtained from two different groups of participants and 5 successful trials for each subject are included. The question is: in the process of PCA, should I estimate the ensemble average of 5 trials for each subject as PCA input or I can use the trials directly without averaging?

If yes, How can I implement ensemble averaging in MatLab?

Any help would be greatly appreciated! And thank you for your time.

Yours sincerely,

Farzaneh Yazdani

PhD Candidate, SUMS School of Rehabilitation Sciences

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