paradigma.gait_analysis_config

Classes

`IMUConfig`	Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).
`GaitFeatureExtractionConfig`	Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).
`GaitDetectionConfig`	Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).
`ArmSwingFeatureExtractionConfig`	Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).
`ArmSwingDetectionConfig`	Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).
`ArmSwingQuantificationConfig`	Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).

Module Contents

class paradigma.gait_analysis_config.IMUConfig[source]

Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).

time_colname

l_accelerometer_cols: List[str]

l_gyroscope_cols: List[str]

l_gravity_cols: List[str]

set_sensor(sensor: str) → None[source]: Sets the sensor and derived filenames

set_filenames(prefix: str) → None[source]

Sets the filenames based on the prefix,

Parameters:: prefix (str) – The prefix for the filenames.

set_filenames_values(prefix: str) → None[source]

Sets the filenames based on the prefix,

Parameters:: prefix (str) – The prefix for the filenames.

class paradigma.gait_analysis_config.GaitFeatureExtractionConfig[source]

Bases: IMUConfig

Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).

window_type: str = 'hann'

verbose: int = 0

window_length_s: int = 6

window_step_size_s: int = 1

cc_low_frequency: int = 0

cc_high_frequency: int = 25

n_dct_filters_cc: int = 20

n_coefficients_cc: int = 12

d_frequency_bandwidths: Dict[str, List[float]]

l_window_level_cols: List[str] = ['id', 'window_nr', 'window_start', 'window_end']

l_data_point_level_cols: List[str]

d_channels_values: Dict[str, str]

set_sampling_frequency(sampling_frequency: int) → None[source]: Sets the sampling frequency and derived variables

class paradigma.gait_analysis_config.GaitDetectionConfig[source]

Bases: IMUConfig

Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).

classifier_file_name = 'gd_classifier.pkl'

thresholds_file_name = 'gd_threshold.txt'

class paradigma.gait_analysis_config.ArmSwingFeatureExtractionConfig[source]

Bases: IMUConfig

Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).

initialize_window_length_fields(window_length_s: int) → None[source]

initialize_sampling_frequency_fields(sampling_frequency: int) → None[source]

initialize_column_names() → None[source]

sensor = 'IMU'

units = 'degrees'

window_type = 'hann'

d_channels_values

class paradigma.gait_analysis_config.ArmSwingDetectionConfig[source]

Bases: IMUConfig

Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).

classifier_file_name = 'asd_classifier.pkl'

class paradigma.gait_analysis_config.ArmSwingQuantificationConfig[source]

Bases: IMUConfig

Base class for Gait feature extraction and Gait detection configurations, based on the IMU data (accelerometer, gyroscope).

pred_arm_swing_colname

window_length_s = 3

window_step_size = 0.75

segment_gap_s = 3

min_segment_length_s = 3