:orphan:
.. _examples:
Examples
========
Examples that show how to work with mobgap.
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Data Loading and Handling
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.. image:: /auto_examples/data/images/thumb/sphx_glr__01_loading_example_data_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_data__01_loading_example_data.py`
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Loading example data
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.. image:: /auto_examples/data/images/thumb/sphx_glr__02_working_with_ref_data_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_data__02_working_with_ref_data.py`
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Working with reference data
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.. image:: /auto_examples/data/images/thumb/sphx_glr__03_dmo_data_thumb.png
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:ref:`sphx_glr_auto_examples_data__03_dmo_data.py`
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Loading Digital Mobility Outcome (DMO) data
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.. image:: /auto_examples/data/images/thumb/sphx_glr__04_tvs_data_no_exc_thumb.png
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:ref:`sphx_glr_auto_examples_data__04_tvs_data_no_exc.py`
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Mobilise-D TVS Dataset
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.. image:: /auto_examples/data/images/thumb/sphx_glr__05_custom_datasets_thumb.png
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:ref:`sphx_glr_auto_examples_data__05_custom_datasets.py`
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Custom Data and Datasets
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Full Pipelines and Pipeline Helper
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.. image:: /auto_examples/pipeline/images/thumb/sphx_glr__01_gs_iterator_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_pipeline__01_gs_iterator.py`
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Gait Sequence Iterator
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.. image:: /auto_examples/pipeline/images/thumb/sphx_glr__02_step_by_step_mobilised_pipeline_thumb.png
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:ref:`sphx_glr_auto_examples_pipeline__02_step_by_step_mobilised_pipeline.py`
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The Mobilise-D pipeline: Step-by-Step Breakdown
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.. image:: /auto_examples/pipeline/images/thumb/sphx_glr__03_dmo_evaluation_on_wb_level_thumb.png
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:ref:`sphx_glr_auto_examples_pipeline__03_dmo_evaluation_on_wb_level.py`
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Evaluation of final walking bout level DMOs
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.. image:: /auto_examples/pipeline/images/thumb/sphx_glr__03_preconfigured_mobilised_pipelines_thumb.png
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:ref:`sphx_glr_auto_examples_pipeline__03_preconfigured_mobilised_pipelines.py`
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Preconfigured Mobilised Pipelines
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Gait Sequence Detection
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.. image:: /auto_examples/gait_sequences/images/thumb/sphx_glr__01_gsd_iluz_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_gait_sequences__01_gsd_iluz.py`
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This example shows how to use the GSD Iluz algorithm and some examples on how the results compare to the original
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.. image:: /auto_examples/gait_sequences/images/thumb/sphx_glr__02_gsd_ionescu_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_gait_sequences__02_gsd_ionescu.py`
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GSD Paraschiv-Ionescu
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.. image:: /auto_examples/gait_sequences/images/thumb/sphx_glr__03_gsd_evaluation_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_gait_sequences__03_gsd_evaluation.py`
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GSD Evaluation
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.. image:: /auto_examples/gait_sequences/images/thumb/sphx_glr__04_gsd_evaluation_challenges_thumb.png
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:ref:`sphx_glr_auto_examples_gait_sequences__04_gsd_evaluation_challenges.py`
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GSD Evaluation Challenges
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.. image:: /auto_examples/gait_sequences/images/thumb/sphx_glr__05_tvs_evaluation_no_exc_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_gait_sequences__05_tvs_evaluation_no_exc.py`
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GSD TVS Evaluation
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Initial Contact Detection
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.. image:: /auto_examples/initial_contacts/images/thumb/sphx_glr__01_icd_ionescu_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_initial_contacts__01_icd_ionescu.py`
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ICD Ionescu
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.. image:: /auto_examples/initial_contacts/images/thumb/sphx_glr__02_shin_algo_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_initial_contacts__02_shin_algo.py`
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Shin Algo
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.. image:: /auto_examples/initial_contacts/images/thumb/sphx_glr__03_hklee_algo_thumb.png
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:ref:`sphx_glr_auto_examples_initial_contacts__03_hklee_algo.py`
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HKLee algo
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.. image:: /auto_examples/initial_contacts/images/thumb/sphx_glr__04_icd_evaluation_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_initial_contacts__04_icd_evaluation.py`
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ICD Evaluation
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Left/Right Classification
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.. image:: /auto_examples/laterality/images/thumb/sphx_glr__01_lrc_mccamley_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_laterality__01_lrc_mccamley.py`
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McCamley L/R Classifier
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.. image:: /auto_examples/laterality/images/thumb/sphx_glr__02_lrc_ullrich_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_laterality__02_lrc_ullrich.py`
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Ullrich L/R Classifier
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.. image:: /auto_examples/laterality/images/thumb/sphx_glr__99_lrc_evaluation_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_laterality__99_lrc_evaluation.py`
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LRC Evaluation
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Cadence Estimation
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.. image:: /auto_examples/aggregation/images/thumb/sphx_glr__01_mobilised_aggregator_thumb.png
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:ref:`sphx_glr_auto_examples_aggregation__01_mobilised_aggregator.py`
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Mobilised Aggregator
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.. image:: /auto_examples/aggregation/images/thumb/sphx_glr__02_threshold_check_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_aggregation__02_threshold_check.py`
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Threshold Checker
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.. image:: /auto_examples/aggregation/images/thumb/sphx_glr__99_cvs_agg_pipeline_no_exc_thumb.png
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:ref:`sphx_glr_auto_examples_aggregation__99_cvs_agg_pipeline_no_exc.py`
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CVS Official Aggregation Script
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Data Transformations and Filtering
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.. image:: /auto_examples/data_transform/images/thumb/sphx_glr__01_generic_data_transforms_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_data_transform__01_generic_data_transforms.py`
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Generic Data Transforms
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.. image:: /auto_examples/data_transform/images/thumb/sphx_glr__02_filter_thumb.png
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:ref:`sphx_glr_auto_examples_data_transform__02_filter.py`
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General Filter Introduction
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.. image:: /auto_examples/data_transform/images/thumb/sphx_glr__03_resample_thumb.png
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:ref:`sphx_glr_auto_examples_data_transform__03_resample.py`
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Resampling data
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.. image:: /auto_examples/data_transform/images/thumb/sphx_glr__04_cwt_filter_thumb.png
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:ref:`sphx_glr_auto_examples_data_transform__04_cwt_filter.py`
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Continuous Wavelet Transform (CWT) - Filter
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.. image:: /auto_examples/data_transform/images/thumb/sphx_glr__05_gaussian_smoothing_thumb.png
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:ref:`sphx_glr_auto_examples_data_transform__05_gaussian_smoothing.py`
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Gaussian Smoothing
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.. image:: /auto_examples/data_transform/images/thumb/sphx_glr__06_savgol_filter_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_data_transform__06_savgol_filter.py`
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Savitzky-Golay Filter Example
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Development Guides
------------------
Some recipies that should help during development of mobgap and might also be helpful, if you want to extend mobgap
using new algorithms.
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