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Abstract
Python implementations of signal-processing algorithms for validating mobility outcomes from wrist-worn sensors in people with multimorbidity.
Includes gait detection, initial contact detection, and stride-length estimation methods.
Includes gait detection, initial contact detection, and stride-length estimation methods.
| Original language | English |
|---|---|
| Place of Publication | GitHub |
| Publisher | Zenodo |
| DOIs | |
| Publication status | Published - 22 Aug 2025 |
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MultiGait: Real-World Gait Pipeline for Wrist-Worn Devices
Megaritis, D. (Developer) & Vogiatzis, I. (Other), 11 Dec 2025Research output: Non-textual form › Software
Open Access -
Real-World Wrist-Derived Digital Mobility Outcomes in People with Multiple Long-Term Conditions: A Comparison of Algorithms
Megaritis, D., Alcock, L., Scott, K., Hiden, H., Cereatti, A., Vogiatzis, I. & Del Din, S., 15 Oct 2025, In: Bioengineering. 12, 10, 27 p., 1108.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)21 Downloads (Pure)
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