Segmentation

This module contains classes for segmenting the trial data with different methods.

The module provides classes for segmenting the trial data based on gait events as well as a base class to implement additional methods.

class gaitalytics.segmentation.GaitEventsSegmentation(event_label: str = 'Foot Strike')

A class for segmenting the trial data based on gait events.

This class provides a method to segment the trial data based on gait events. It splits the trial data based on the event label and context.

__init__(event_label: str = 'Foot Strike')

Initializes a new instance of the GaitEventsSegmentation class.

Parameters:: event_label – The label of the event to be used for segmentation.

segment(trial: Trial) → TrialCycles

Segments the trial data based on gait events and contexts.