Time Normalisation of vertical ground reaction force

13 visualizaciones (últimos 30 días)
Joshua Isherwood
Joshua Isherwood el 17 de Mzo. de 2017
Comentada: Sir Squirrel el 28 de Feb. de 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 comentarios
Jan
Jan el 13 de Feb. de 2021
Editada: Jan el 13 de Feb. de 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.

Iniciar sesión para comentar.

Respuesta aceptada

Jan
Jan el 17 de Mzo. de 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 comentarios
Jan
Jan el 11 de Dic. de 2022
Editada: Jan el 11 de Dic. de 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 el 28 de Feb. de 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.

Iniciar sesión para comentar.

Más respuestas (0)

Categorías

Más información sobre Biological and Health Sciences en Help Center y File Exchange.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by