Gaitmap-An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking.

Autor:	Kuderle A; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Ullrich M; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Roth N; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Ollenschlager M; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Ibrahim AA; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany.; Department of Molecular NeurologyFAU Erlangen 91054 Erlangen Germany.; Computer Science Department, Faculty of Computers and InformationAssiut University Assiut Governorate 71515 Egypt., Moradi H; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Richer R; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Seifer AK; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Zurl M; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Simpetru RC; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Herzer L; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Prossel D; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Kluge F; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany., Eskofier BM; Machine Learning and Data Analytics LabFriedrich-Alexander Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany.
Jazyk:	angličtina
Zdroj:	IEEE open journal of engineering in medicine and biology [IEEE Open J Eng Med Biol] 2024 Jan 22; Vol. 5, pp. 163-172. Date of Electronic Publication: 2024 Jan 22 (Print Publication: 2024).
DOI:	10.1109/OJEMB.2024.3356791
Abstrakt:	Goal: Gait analysis using inertial measurement units (IMUs) has emerged as a promising method for monitoring movement disorders. However, the lack of public data and easy-to-use open-source algorithms hinders method comparison and clinical application development. To address these challenges, this publication introduces the gaitmap ecosystem, a comprehensive set of open source Python packages for gait analysis using foot-worn IMUs. Methods: This initial release includes over 20 state-of-the-art algorithms, enables easy access to seven datasets, and provides eight benchmark challenges with reference implementations. Together with its extensive documentation and tooling, it enables rapid development and validation of new algorithm and provides a foundation for novel clinical applications. Conclusion: The published software projects represent a pioneering effort to establish an open-source ecosystem for IMU-based gait analysis. We believe that this work can democratize the access to high-quality algorithm and serve as a driver for open and reproducible research in the field of human gait analysis and beyond. Competing Interests: The authors declare no conflicts of interest. (© 2024 The Authors.)
Databáze:	MEDLINE
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