Inertial Sensors Embedded in Smartphones as a Tool for Fatigue Assessment Based on Acceleration in Survivors of Breast Cancer

Phys Ther. 2020 Mar 10;100(3):447-456. doi: 10.1093/ptj/pzz173.

Abstract

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.

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.

Design: This was a cross-sectional study.

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 cut-off point was detected as a change in the curve slope of the first maximum point of acceleration.

Results: Women were aged 51.8 (8.9) years with a body mass index of 25.4 (5.1) Kg/m2. 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.

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.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acceleration*
  • Adult
  • Aged
  • Breast Neoplasms / physiopathology*
  • Breast Neoplasms / therapy
  • Cancer Survivors*
  • Cross-Sectional Studies
  • Exercise Test / instrumentation*
  • Exercise Test / methods
  • Exercise Test / statistics & numerical data
  • Fatigue / diagnosis*
  • Fatigue / physiopathology
  • Female
  • Humans
  • Middle Aged
  • Physical Phenomena
  • Sitting Position
  • Smartphone / instrumentation*
  • Standing Position
  • Time Factors