A database of physical therapy exercises with variability of execution collected by wearable sensors

• Published in: Scientific data Vol. 9; no. 1; pp. 266 - 13
• Main Authors: García-de-Villa, Sara, Jiménez-Martín, Ana, García-Domínguez, Juan Jesús
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.06.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 692/700/228/491; 692/700/784; Adult; Aged; Algorithms; Data Descriptor; Exercise; Gait; Humanities and Social Sciences; Humans; Middle Aged; multidisciplinary; Physical therapy; Physical Therapy Modalities; Science; Science (multidisciplinary); Sensors; Wearable Electronic Devices; Young Adult
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-022-01387-2

This document introduces the PHYTMO database, which contains data from physical therapies recorded with inertial sensors, including information from an optical reference system. PHYTMO includes the recording of 30 volunteers, aged between 20 and 70 years old. A total amount of 6 exercises and 3 gait variations were recorded. The volunteers performed two series with a minimum of 8 repetitions in each one. PHYTMO includes magneto-inertial data, together with a highly accurate location and orientation in the 3D space provided by the optical system. The files were stored in CSV format to ensure its usability. The aim of this dataset is the availability of data for two main purposes: the analysis of techniques for the identification and evaluation of exercises using inertial sensors and the validation of inertial sensor-based algorithms for human motion monitoring. Furthermore, the database stores enough data to apply Machine Learning-based algorithms. The participants’ age range is large enough to establish age-based metrics for the exercises evaluation or the study of differences in motions between different groups. Measurement(s) Turn rate • Specific force • Magnetic field • Locations • Orientations Technology Type(s) Inertial measurement unit • Stereophotogrammetric system Factor Type(s) Time Sample Characteristic - Organism Humans