| Autor: |
Alexis L. McCreath Frangakis, Edward D. Lemaire, Natalie Baddour |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BioMedInformatics, Vol 4, Iss 2, Pp 1262-1274 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2673-7426 |
| DOI: |
10.3390/biomedinformatics4020069 |
| Popis: |
Background: Subtask segmentation can provide useful information from clinical tests, allowing clinicians to better assess a patient’s mobility status. A new smartphone-based algorithm was developed to segment the L Test of functional mobility into stand-up, sit-down, and turn subtasks. Methods: Twenty-one able-bodied participants each completed five L Test trials, with a smartphone attached to their posterior pelvis. The smartphone used a custom-designed application that collected linear acceleration, gyroscope, and magnetometer data, which were then put into a threshold-based algorithm for subtask segmentation. Results: The algorithm produced good results (>97% accuracy, >98% specificity, >74% sensitivity) for all subtasks. Conclusions: These results were a substantial improvement compared with previously published results for the L Test, as well as similar functional mobility tests. This smartphone-based approach is an accessible method for providing useful metrics from the L Test that can lead to better clinical decision-making. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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