2026-05-22T01:56:58Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/237862024-11-28T20:51:03Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967

00925njm 22002777a 4500 dc Roig-Maimó, Maria Francesca author Salinas-Bueno, Iosune author Mas-Sansó, Ramon author Varona, Javier author Martínez-Bueso, Pau author 2023-02-23 We developed a mobile application for cervical rehabilitation that uses a non-invasive camera-based head-tracker sensor for monitoring neck movements. The intended user population should be able to use the mobile application in their own mobile device, but mobile devices have different camera sensors and screen dimensions that could affect the user performance and neck movement monitoring. In this work, we studied the influence of mobile devices type on camera-based monitoring of neck movements for rehabilitation purposes. We conducted an experiment to test whether the characteristics of a mobile device affect neck movements when using the mobile application with the head-tracker. The experiment consisted of the use of our application, containing an exergame, in three mobile devices. We used wireless inertial sensors to measure the real-time neck movements performed while using the different devices. The results showed that the effect of device type on neck movements was not statistically significant. We included the sex factor in the analysis, but there was no statistically significant interaction between sex and device variables. Our mobile application proved to be device-agnostic. This will allow intended users to use the mHealth application regardless of the type of device. Thus, future work can continue with the clinical evaluation of the developed application to analyse the hypothesis that the use of the exergame will improve therapeutic adherence in cervical rehabilitation. Roig-Maimó MF, Salinas-Bueno I, Mas-Sansé R, Varona J, Martínez-Bueso P. The Influence of Mobile Device Type on Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation. Sensors. 2023 Feb 23;23(5):2482. 10.3390/s23052482 1424-8220 Sensors (Basel, Switzerland) https://hdl.handle.net/20.500.13003/18906 36904689 2-s2.0-85149753637 https://hdl.handle.net/20.500.12105/23786 948179100001 The Influence of Mobile Device Type on Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation