Features

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Features are taken in time and frequency domains.

Python

def extract_features(path_names: dict, column_names=None, sampling_rate: float = 1000.0, file_ext: str = 'csv')

Name	Type	Description
`path_names`	dict	Lorem ipsum dolor sit amet. Required keys: `bandpass`, `fwr`, `feature`.
`column_names`	list	Consectetur adipiscing elit. Optional.
`sampling_rate`	float	Sed do eiusmod tempor. Default is `1000.0`.

Function	Description
`calc_ap`	Lorem ipsum dolor sit amet.
`calc_iemg`	Consectetur adipiscing elit.
`calc_mav`	Sed do eiusmod tempor incididunt.
`calc_rms`	Ut labore et dolore magna aliqua.
`calc_wl`	Laboris nisi ut aliquip ex ea.

Function	Description
`calc_mdf`	Dolor in reprehenderit in voluptate.
`calc_mnf`	Velit esse cillum dolore eu fugiat.
`calc_se`	Nulla pariatur excepteur sint occaecat.

Praesent commodo cursus magna, vel scelerisque nisl consectetur et. Cum sociis natoque penatibus.

import ability as ab

paths = ab.make_paths()
table = ab.extract_features(paths, sampling_rate=2000)
print(table.columns)

Etiam porta sem malesuada magna mollis euismod. Donec sed odio dui.

import ability as ab

data = ab.read_file("trial.csv")
windows = ab.window(data, length=250, step=125)
print(len(windows))