Time Normalisation of vertical ground reaction force

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Joshua Isherwood
Joshua Isherwood am 17 Mär. 2017
Kommentiert: Sir Squirrel am 28 Feb. 2023
Hi everyone. I have vertical ground reaction force data during running and have trials of different lengths so I'm looking to time normalise to 100%
  3 Kommentare
Jan
Jan am 13 Feb. 2021
Bearbeitet: Jan am 13 Feb. 2021
This comment does not concern the original quetion. Please open a new thread for a new problem. Explain there, what kind of data your are searching.

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Jan
Jan am 17 Mär. 2017
This is a job for interp1:
Signal = rand(1, 1000); % Test data
HeelStrike = 72;
ToeOff = 413;
Contact = Signal(HeelStrike:ToeOff);
ConatctN = interp1(1:numel(Contact), Contact, linspace(1, numel(Contact), 101));
Now the ground contact phase is normalized to 101.
If this is a bottleneck in your code, use FEX: ScaleTime:
ContactN = ScaleTime(Signal, HeelStrike, ToeOff, 101);
  3 Kommentare
Jan
Jan am 11 Dez. 2022
Bearbeitet: Jan am 11 Dez. 2022
@Shengxiong Zhou: Unfortunately the question does not make sense to me. If you have determined the time of start and end point of the stance phase, what is the problem of extracting data from the kinematics? Why do the different timings play any role at all? The frame k of the high frequency data belongs to the frame ceil(k/4) of the low frequency data.
Sir Squirrel
Sir Squirrel am 28 Feb. 2023
@Shengxiong Zhou Here is my two cents. Focus on the timestamps (in seconds) where heel strikes and toe off occur, the sampling frequency doesn't play much of a role here.

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