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Time measurement characterization of stand-to-sit and sit-to-stand transitions by using a smartphone

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Abstract

The aim of this study is to analyze a common method to measure the acceleration of a daily activity pattern by using a smartphone. In this sense, a numerical approach is proposed to transform the relative acceleration signal, recorded by a triaxial accelerometer, into an acceleration referred to an inertial reference. The integration of this acceleration allows to determine the velocity and position with respect to an inertial reference. Two different kinematic parameters are suggested to characterize the profile of the velocity during the sit-to-stand and stand-to-sit transitions for Parkinson and control subjects. The results show that a dimensionless kinematic parameter, which is linked to the time of sit-to-stand and stand-to-sit transitions, has the potential to differentiate between Parkinson and control subjects.

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Acknowledgements

The authors want to acknowledge the support of the DICYT institution that belongs to the Universidad de Santiago de Chile (USACH). The authors have no other professional and/or financial affiliations that may have biased the article.

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Authors and Affiliations

  1. Department of Mechanical Engineering (EPSEVG), Universitat Politécnica de Catalunya, Av. de Víctor Balaguer 1, Vilanova i la Geltrú, 08800, Barcelona, Spain

    Hernán A. González Rojas & Antonio J. Sánchez Egea

  2. Centro de Trastornos del Movimiento (CETRAM), Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Belisario Prats, 1597 B, Independencia, Santiago, Chile

    Pedro Chaná Cuevas

  3. Department of Mechanical Engineering (ETSEIB), Universitat Politécnica de Catalunya, Av. Diagonal, 647, 08028, Barcelona, Spain

    Enrique E. Zayas Figueras & Salvador Cardona Foix

Authors
  1. Hernán A. González Rojas
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  2. Pedro Chaná Cuevas
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  3. Enrique E. Zayas Figueras
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  4. Salvador Cardona Foix
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  5. Antonio J. Sánchez Egea
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Correspondence to Hernán A. González Rojas.

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González Rojas, H.A., Cuevas, P.C., Zayas Figueras, E.E. et al. Time measurement characterization of stand-to-sit and sit-to-stand transitions by using a smartphone. Med Biol Eng Comput 56, 879–888 (2018). https://doi.org/10.1007/s11517-017-1728-5

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  • DOI: https://doi.org/10.1007/s11517-017-1728-5

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