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

• Published in: Medical & biological engineering & computing Vol. 56; no. 5; pp. 879 - 888
• Main Authors: González Rojas, Hernán A., Cuevas, Pedro Chaná, Zayas Figueras, Enrique E., Foix, Salvador Cardona, Sánchez Egea, Antonio J.
• Format: Journal Article Publication
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2018; Springer Nature B.V; Springer
• Subjects: Acceleration; Accelerometer; Accelerometers; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Computer Applications; Dimensionless kinematic parameter; Enginyeria electrònica; Human Physiology; Imaging; Inertial reference systems; Informàtica; Kinematics; Monitoratge de pacients; Original Article; Parameters; Parkinson; Parkinson's disease; Parkinson, Malaltia de; Patient monitoring; Posture; Radiology; Signal analysis; Sit-to-stand; Smartphones; Stand-to-si; Àrees temàtiques de la UPC; Accelerometer; Dimensionless kinematic parameter; Stand-to-sit; Signal analysis; Sit-to-stand; Parkinson
• ISSN: 0140-0118; 1741-0444; 1741-0444
• DOI: 10.1007/s11517-017-1728-5

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.