Feasibility and safety of a remotely administered Five Times Sit-to-Stand test and its relationship to capacity and performance in stroke survivors
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2026
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| _version_ | 1866901512301576192 |
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| author | Medeiros, Naguia Hoffman, Jessica Almodovar, Andres D. Toccoli, Alejandro Avalos, Abraham Carballo, Camila Tamim, Alam Wagler, Amy Shashwati, Geed Torriani-Pasin, Camila Torriani-Pasin, Camila |
| author_facet | Medeiros, Naguia Hoffman, Jessica Almodovar, Andres D. Toccoli, Alejandro Avalos, Abraham Carballo, Camila Tamim, Alam Wagler, Amy Shashwati, Geed Torriani-Pasin, Camila Torriani-Pasin, Camila |
| contents | <p><strong>Title:</strong> Dataset for “Feasibility and safety of a remotely administered Five Times Sit-to-Stand test and its relationship to capacity and performance in stroke survivors”</p> <p><strong>Description:</strong><br>This repository contains the de-identified dataset and analysis materials for a study examining the feasibility and safety of remote functional mobility assessment using wearable sensors and an AI-based video analysis pipeline.</p> <p>The study evaluates four complementary measures of sit-to-stand performance:<br>(1) <strong>Capacity</strong> – Five Times Sit-to-Stand Test (FTSTS) assessed in the clinic using APDM® wearable sensors;<br>(2) <strong>Capacity (AI)</strong> – FTSTS recorded in the clinic using smartphone video and processed through an AI-based backend pipeline;<br>(3) <strong>Performance</strong> – real-world sit-to-stand activity measured using ActivPAL® over three consecutive days;<br>(4) <strong>Performance (AI)</strong> – sit-to-stand performance recorded in the home environment using smartphone video and processed through the same AI-based pipeline.</p> <p>The dataset includes participants with stroke and age-matched controls. Variables include demographic characteristics, clinical measures (e.g., MoCA, Fugl-Meyer), capacity and performance metrics, and feasibility and safety indicators.</p> <p><strong>Files included:</strong></p> <ul> <li><code>data_clean.csv</code>: de-identified dataset used for analysis</li> <li><code>codebook.pdf</code>: detailed variable definitions and coding scheme</li> <li><code>analysis_script.R</code>: statistical analysis script used to generate results</li> </ul> <p><strong>Data processing and analysis:</strong><br>Statistical analyses include descriptive statistics, between-group comparisons, correlation analyses, Bland–Altman agreement analysis, and sensitivity analyses using multiple approaches to handle missing data.</p> <p><strong>Ethics and data sharing:</strong><br>All data have been de-identified in accordance with institutional review board (IRB) approval and ethical guidelines. Raw video recordings are not included due to privacy and confidentiality restrictions.</p> <p><strong>Funding:</strong><br>This work was supported by a Pilot Project Award from the Restore Center at Stanford University (Grant No. 226352158A). The Restore Center is funded by the National Institutes of Health (Grant No. P2CHD101913).</p> <p><strong>Reuse:</strong><br>The dataset is provided for research and educational purposes. Users are encouraged to cite the associated publication when using these data.</p> <p><strong>Contact:</strong><br>Camila Torriani-Pasin, University of Texas at El Paso</p> <p>ctorrianip@utep.edu</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19672551 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Feasibility and safety of a remotely administered Five Times Sit-to-Stand test and its relationship to capacity and performance in stroke survivors Medeiros, Naguia Hoffman, Jessica Almodovar, Andres D. Toccoli, Alejandro Avalos, Abraham Carballo, Camila Tamim, Alam Wagler, Amy Shashwati, Geed Torriani-Pasin, Camila Torriani-Pasin, Camila Functional mobility Digital Biomarkers Stroke <p><strong>Title:</strong> Dataset for “Feasibility and safety of a remotely administered Five Times Sit-to-Stand test and its relationship to capacity and performance in stroke survivors”</p> <p><strong>Description:</strong><br>This repository contains the de-identified dataset and analysis materials for a study examining the feasibility and safety of remote functional mobility assessment using wearable sensors and an AI-based video analysis pipeline.</p> <p>The study evaluates four complementary measures of sit-to-stand performance:<br>(1) <strong>Capacity</strong> – Five Times Sit-to-Stand Test (FTSTS) assessed in the clinic using APDM® wearable sensors;<br>(2) <strong>Capacity (AI)</strong> – FTSTS recorded in the clinic using smartphone video and processed through an AI-based backend pipeline;<br>(3) <strong>Performance</strong> – real-world sit-to-stand activity measured using ActivPAL® over three consecutive days;<br>(4) <strong>Performance (AI)</strong> – sit-to-stand performance recorded in the home environment using smartphone video and processed through the same AI-based pipeline.</p> <p>The dataset includes participants with stroke and age-matched controls. Variables include demographic characteristics, clinical measures (e.g., MoCA, Fugl-Meyer), capacity and performance metrics, and feasibility and safety indicators.</p> <p><strong>Files included:</strong></p> <ul> <li><code>data_clean.csv</code>: de-identified dataset used for analysis</li> <li><code>codebook.pdf</code>: detailed variable definitions and coding scheme</li> <li><code>analysis_script.R</code>: statistical analysis script used to generate results</li> </ul> <p><strong>Data processing and analysis:</strong><br>Statistical analyses include descriptive statistics, between-group comparisons, correlation analyses, Bland–Altman agreement analysis, and sensitivity analyses using multiple approaches to handle missing data.</p> <p><strong>Ethics and data sharing:</strong><br>All data have been de-identified in accordance with institutional review board (IRB) approval and ethical guidelines. Raw video recordings are not included due to privacy and confidentiality restrictions.</p> <p><strong>Funding:</strong><br>This work was supported by a Pilot Project Award from the Restore Center at Stanford University (Grant No. 226352158A). The Restore Center is funded by the National Institutes of Health (Grant No. P2CHD101913).</p> <p><strong>Reuse:</strong><br>The dataset is provided for research and educational purposes. Users are encouraged to cite the associated publication when using these data.</p> <p><strong>Contact:</strong><br>Camila Torriani-Pasin, University of Texas at El Paso</p> <p>ctorrianip@utep.edu</p> |
| title | Feasibility and safety of a remotely administered Five Times Sit-to-Stand test and its relationship to capacity and performance in stroke survivors |
| topic | Functional mobility Digital Biomarkers Stroke |
| url | https://doi.org/10.5281/zenodo.19672551 |