Reliability of assessing postural control during seated balancing using a physical human-robot interaction |
| |
| Affiliation: | 1. Department of Mechanical Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA;2. MSU Center for Orthopedic Research, College of Osteopathic Medicine, Michigan State University, Lansing, MI, USA;3. Department of Osteopathic Surgical Specialties, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, USA;4. School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea;1. Department of Mechanical & Industrial Engineering, Montana State University, United States;2. Department of Cell Biology & Neurosciences, Montana State University, United States;3. Department of Orthopaedics & Sports Medicine, University of Washington, United States;1. Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan;2. Division of Dental Informatics, Osaka University Dental Hospital, 1-8 Yamadaoka, Suita, Osaka 565-0871, Japan;1. Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA;2. PERCRO Laboratory, TeCIP Institute, Scuola Superiore Sant’Anna, via Alamanni 13b, 56010 Ghezzano, San Giuliano Terme, Pisa, Italy;3. Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, USA;1. Dipartimento di Ingegneria Industriale, Università degli Studi di Napoli Federico II, P.le Tecchio, 80, Napoli 80125, Italy;2. Department of Mechanical Engineering, University of California, Riverside, CA 92521, USA;1. School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904, USA;2. Department of Mechanical Engineering, Dublin City University, Glasnevin, Dublin 9, Ireland |
| |
| Abstract: | This study evaluated the within- and between-visit reliability of a seated balance test for quantifying trunk motor control using input–output data. Thirty healthy subjects performed a seated balance test under three conditions: eyes open (EO), eyes closed (EC), and eyes closed with vibration to the lumbar muscles (VIB). Each subject performed three trials of each condition on three different visits. The seated balance test utilized a torque-controlled robotic seat, which together with a sitting subject resulted in a physical human-robot interaction (pHRI) (two degrees-of-freedom with upper and lower body rotations). Subjects balanced the pHRI by controlling trunk rotation in response to pseudorandom torque perturbations applied to the seat in the coronal plane. Performance error was expressed as the root mean square (RMSE) of deviations from the upright position in the time domain and as the mean bandpass signal energy (Emb) in the frequency domain. Intra-class correlation coefficients (ICC) quantified the between-visit reliability of both RMSE and Emb. The empirical transfer function estimates (ETFE) from the perturbation input to each of the two rotational outputs were calculated. Coefficients of multiple correlation (CMC) quantified the within- and between-visit reliability of the averaged ETFE. ICCs of RMSE and Emb for all conditions were ≥0.84. The mean within- and between-visit CMCs were all ≥0.96 for the lower body rotation and ≥0.89 for the upper body rotation. Therefore, our seated balance test consisting of pHRI to assess coronal plane trunk motor control is reliable. |
| |
| Keywords: | Seated balance Reliability assessment Postural control Lumbar spine |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
