Removing Noises from Raw Gait Angle Data Signal using LPF or MVA method
Data filtering is the process of choosing a smaller part of your data set and using that subset for viewing or analysis. Filtering is generally (but not always) temporary – the complete data set is kept, but only part of it is used for the calculation
In this program, im implementing a Lowpass Filter and Moving Average Filter using python to remove unwanted signal/noise
from some dataset.
Use .csv file for the input dataset, Run the MVA and LPF section function, the result is shown inside the plot and dataframe
i also provide the dataset example on this project.
use the 13.csv file inside this repositories