MATLAB and Simulink resources for Arduino, LEGO, and Raspberry Pi
Learn moreOpportunities for recent engineering grads.
Apply TodayMATLAB Central > MATLAB Newsreader > Feature Extraction for EMG data using PCA 

Subject: Feature Extraction for EMG data using PCA From: anoop Date: 2 Mar, 2009 16:20:20 Message: 1 of 6 
I have a EMG data matrix of size 90(subjects) x 4800(variables). I want to apply PCA to reduce the no. of variables, e.g ( i want matrix of size 90 x 1200 after PCA). 
Subject: Feature Extraction for EMG data using PCA From: russell.fung@gmail.c... Date: 3 Mar, 2009 14:35:06 Message: 2 of 6 
On Mar 2, 10:20=A0am, "anoop " <nomail...@rediffmail.com> wrote: 
Subject: Feature Extraction for EMG data using PCA From: anoop Date: 4 Mar, 2009 10:53:01 Message: 3 of 6 
"russell.fung@gmail.com" <russell.fung@gmail.com> wrote in message <6a1f924451d84e3b9fb82aefcab53109@y33g2000prg.googlegroups.com>... 
Subject: Feature Extraction for EMG data using PCA From: russell.fung@gmail.c... Date: 4 Mar, 2009 14:46:10 Message: 4 of 6 
On Mar 4, 4:53=A0am, "anoop " <nomail...@rediffmail.com> wrote: 
Subject: Feature Extraction for EMG data using PCA From: Greg Heath Date: 10 Mar, 2009 16:29:00 Message: 5 of 6 
On Mar 4, 6:53 am, "anoop " <nomail...@rediffmail.com> wrote: 
Subject: Feature Extraction for EMG data using PCA From: Greg Heath Date: 10 Mar, 2009 16:36:57 Message: 6 of 6 
On Mar 4, 6:53=A0am, "anoop " <nomail...@rediffmail.com> wrote: 
A tag is like a keyword or category label associated with each thread. Tags make it easier for you to find threads of interest.
Anyone can tag a thread. Tags are public and visible to everyone.