SWISSTEP / KNOWLEDGE LIBRARY

Websites and data sources

Evidence retrieval, protocol selection and reproducible analysis of movement data.

Select resources according to the analytical task: literature appraisal, instrument selection, external validation or biomechanical modelling. For reusable data, examine cohort ascertainment, acquisition modality, annotations, licensing and version provenance before judging suitability for the intended analysis.

Retrieve primary studies using explicit population, construct, modality and design terms. Compare the indexed abstract with full methods, supplementary analyses and correction history before extracting a claim for an endpoint evidence dossier.

Visit PubMed →

Clinical instruments

Rehabilitation Measures Database

Editorial relevance

Compare clinical instruments by construct coverage, administration, scoring and population-specific reliability, validity and responsiveness. Follow the cited studies when selecting a change threshold or transferring a protocol to another cohort.

Visit Rehabilitation Measures Database →

Digital mobility data

Mobilise-D

Editorial relevance

Explore digital mobility data and methods developed across clinical cohorts. Examine release-specific acquisition, reference annotation, cohort definitions and access conditions when planning external validation or endpoint transportability analyses.

Visit Mobilise-D →

Open dataset

PhysioNet: Gait in Parkinson’s Disease

Editorial relevance

Under-foot force recordings from 93 participants with Parkinson’s disease and 73 controls. A useful resource for gait-signal research; it is not a smartphone-IMU collection.

Visit PhysioNet: Gait in Parkinson’s Disease →

Public-health protocols

CDC STEADI

Editorial relevance

Clinical tools for older-adult falls assessment and prevention, connecting mobility measures to a multifactorial approach.

Visit CDC STEADI →

Trial registry

ClinicalTrials.gov

Editorial relevance

Examine registered protocols, planned outcomes and reported results. Registration describes a study; it does not establish a positive result or validate a device.

Visit ClinicalTrials.gov →

Validation resources

Digital Medicine Society

Editorial relevance

Use its validation resources to identify measurement questions and supporting literature. Review the original publication for every claim used in an endpoint strategy.

Visit Digital Medicine Society →

Modelling tools

OpenSim / SimTK

Editorial relevance

Access musculoskeletal modelling and simulation resources. Record model version, scaling, constraints and optimisation assumptions; assess sensitivity and validation for the target task before interpreting estimated muscle or joint quantities.

Visit OpenSim / SimTK →

Provider research

OneStep research and resources

Editorial relevance

A recommended provider resource for smartphone gait-monitoring research, clinical workflows and practical discussions. Distinguish published evidence from company-authored guidance.

Visit OneStep research and resources →

Professional society

International Society of Biomechanics

Editorial relevance

Find community, standards-related resources and educational material for biomechanics research. Check the scope and publication date of each recommendation.

Visit International Society of Biomechanics →

Background reference

Gait analysis on Wikipedia

Editorial relevance

A broad orientation to terminology and measurement approaches. For a clinical or scientific claim, follow through to the original cited research.

Visit Gait analysis on Wikipedia →

Source notes

Research summaries link to their original publications. Numerical examples retain the study population, units and interpretation alongside the figure. The walking illustrations are conceptual, not recorded patient trajectories.

How to use the ratings and topic labels

Stars indicate editorial relevance to clinicians and researchers using this library: 5 = foundational or broadly applicable; 4 = directly useful for a defined question; 3 = specialist or emerging application; 2 = indirect relevance; 1 = background context. They are not journal impact factors, evidence-certainty grades, product comparisons or estimates of clinical benefit. Lists place higher-relevance entries first; chronological steps and test protocols retain their required sequence. Topic labels use the same colors throughout the library, with text identifying every subject.

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