2026-05-17T05:43:32Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/180402024-11-28T15:09:31Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927

00925njm 22002777a 4500 dc Cruz-Montecinos, Carlos author Cuesta-Vargas, Antonio author Muñoz, Cristian author Flores, Dante author Ellsworth, Joseph author De la Fuente, Carlos author Calatayud, Joaquín author Rivera-Lillo, Gonzalo author Soto-Arellano, Verónica author Tapia, Claudio author García-Massó, Xavier author 2020-05-01 The assessment of trunk sway smoothness using an accelerometer sensor embedded in a smartphone could be a biomarker for tracking motor learning. This study aimed to determine the reliability of trunk sway smoothness and the effect of visual biofeedback of sway smoothness on motor learning in healthy people during unipedal stance training using an iPhone 5 measurement system. In the first experiment, trunk sway smoothness in the reliability group (n = 11) was assessed on two days, separated by one week. In the second, the biofeedback group (n = 12) and no-biofeedback group (n = 12) were compared during 7 days of unipedal stance test training and one more day of retention (without biofeedback). The intraclass correlation coefficient score 0.98 (0.93-0.99) showed that this method has excellent test-retest reliability. Based on the power law of practice, the biofeedback group showed greater improvement during training days (p = 0.003). Two-way mixed analysis of variance indicates a significant difference between groups (p < 0.001) and between days (p < 0.001), as well as significant interaction (p < 0.001). Post hoc analysis shows better performance in the biofeedback group from training days 2 and 7, as well as on the retention day (p < 0.001). Motor learning objectification through visual biofeedback of trunk sway smoothness enhances postural control learning and is useful and reliable for assessing motor learning. 10.3390/s20092585 1424-8220 Sensors http://hdl.handle.net/10668/3876 32370050 http://hdl.handle.net/20.500.12105/18040 Motor learning Biofeedback Postural balance Inertial measurement unit SmartPhone Biorretroalimentación psicológica Equilibrio postural Teléfono inteligente Impact of Visual Biofeedback of Trunk Sway Smoothness on Motor Learning during Unipedal Stance