How to normalise segregated surface emg signals into the same number of data points?
Hi everyone,
I have a cell array containing multiple gait cycles of an SEMG signal. Each cycle represents the push phase and recovery phase of a wheelchair. I want to get the average of the SEMG signal of all the cycles however, each cycle contains a different amount of data points. How do I normalise the cycles to contain a certain amount of data points without disrupting the signals? I also have a cell array containg the times of propulsion.
If anyone could point me in the right direction that would be great!
Thanks,Hi everyone,
I have a cell array containing multiple gait cycles of an SEMG signal. Each cycle represents the push phase and recovery phase of a wheelchair. I want to get the average of the SEMG signal of all the cycles however, each cycle contains a different amount of data points. How do I normalise the cycles to contain a certain amount of data points without disrupting the signals? I also have a cell array containg the times of propulsion.
If anyone could point me in the right direction that would be great!
Thanks, Hi everyone,
I have a cell array containing multiple gait cycles of an SEMG signal. Each cycle represents the push phase and recovery phase of a wheelchair. I want to get the average of the SEMG signal of all the cycles however, each cycle contains a different amount of data points. How do I normalise the cycles to contain a certain amount of data points without disrupting the signals? I also have a cell array containg the times of propulsion.
If anyone could point me in the right direction that would be great!
Thanks, signal processing, semg MATLAB Answers — New Questions