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      <dc:title>Inertial Sensors Embedded in Smartphones as a Tool for Fatigue Assessment Based on Acceleration in Survivors of Breast Cancer.</dc:title>
      <dc:creator>Cuesta-Vargas, Antonio</dc:creator>
      <dc:creator>Pajares, Bella</dc:creator>
      <dc:creator>Trinidad-Fernández, Manuel</dc:creator>
      <dc:creator>Alba-Conejo, Emilio</dc:creator>
      <dc:creator>Roldán-Jiménez, Cristina</dc:creator>
      <dc:subject>Mamas - Cáncer - Ejercicios terapéuticos</dc:subject>
      <dc:subject>Ejercicio físico - Uso terapéutico</dc:subject>
      <dc:description>Background. Cancer-related fatigue is a symptom commonly reported in survivors of breast cancer and is the most variable symptom. Besides questionnaires like PIPER to assess cancer-related fatigue, there is a need to objectively measure fatigue.&#xd;
Objective. The aim of this study was to assess the physiological dimension of fatigue based on acceleration during a 30-second maximal sit-to-stand test.&#xd;
Design. This was a cross-sectional study.&#xd;
Methods. Linear acceleration from a smartphone placed on the sternum was recorded in 70 survivors of breast cancer. Fourth-degree polynomial adjustment from the acceleration signal to the vertical and anterior-posterior axis was calculated. The fatigue temporal cutoff point was detected as a change in the curve slope of the first maximum point of acceleration.&#xd;
Results. Women were aged 51.8 (8.9) years with a body mass index of 25.4 (5.1) Kg/m 2 .&#xd;
They performed 23.6 (6.57) number of repetitions. The mean fatigue cut-off point from the total sample was 10.2 (3.1) seconds.&#xd;
Limitations. Further research should employ time-prolonged tests to study acceleration behavior beyond 30 seconds as well as include a physiological criterion that justifies the nonlinear saturation of the acceleration-based criterion.&#xd;
Conclusions. This study assessed fatigue through a low-cost and easy-to-use methodology during a functional and widely used test such as 30-second maximal sit-to-stand. This would allow clinicians to assess fatigue in a short-effort exercise to individualize exercise prescription dose, measure changes during intervention, and track fatigue objectively throughout survivorship</dc:description>
      <dc:date>2024-10-07T09:11:10Z</dc:date>
      <dc:date>2024-10-07T09:11:10Z</dc:date>
      <dc:date>2020</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Cuesta-Vargas AI, Pajares B, Trinidad-Fernandez M, Alba E, Roldan-Jiménez C. Inertial sensors embedded in smartphones as a tool for fatigue assessment based on acceleration in survivors of breast cancer. Phys Ther. 2020;100:447–456</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10630/34406</dc:identifier>
      <dc:identifier>10.1093/ptj/pzz173</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
      <dc:publisher>OXFORD UNIV PRESS INC</dc:publisher>
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