mobilise-d / mobgap

The Mobilise-D algorithm toolbox - Implemented in Python
https://mobgap.readthedocs.io
Apache License 2.0
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Road to 1.0 #183

Open AKuederle opened 4 weeks ago

AKuederle commented 4 weeks ago

A meta tracking issue on things that we need before 1.0

Revalidation

Algorithms

Other

AKuederle commented 2 weeks ago

Notes on "per-block" revalidation:

From Encarna's paper: Mean and 95% confidence intervals of all digital mobility outcomes were evaluated at a cohort level (i.e., quantified using all walking bouts across all participants belonging to that specific cohort)

pltsc18 commented 2 weeks ago

Statistical plan reimplementation - TODO list

Here's on overview of the adopted TVS statistical plan, as reported in Micò-Amigo et al., 2023 and Kirk et al., 2024. I already ticked what is already implemented in MobGap to my experience (although probably needs to be properly integrated with validation code as we mentioned).

Block-by-block validation (Micò-Amigo et al., 2023)

Notes on the experimental protocol: 108 subjects from the TVS free-living dataset. Results are grouped by cohorts.

Gait sequence detection block

End-to-end walking speed validation (Kirk et al., 2024)

Notes on the experimental protocol: 97 subjects from the TVS laboratory dataset (reference: stereophotogrammetry) and 82 subjects from the TVS free-living dataset (reference: INDIP). Results are grouped by cohorts.

True positive evaluation

This step was done for both the laboratory and the real-world datasets.