Purpose: No study has addressed the effect of patient-reported outcomes as a visual feedback tool during telerehabilitation. This study aimed to investigate the effect of a visual feedback-based monitoring application PhysioAnalyst on pain, pain catastrophizing, physical functions, quality of life, usability, satisfaction, and exercise adherence in individuals with chronic low back pain (CLBP).
Methods: A single-blind, randomized controlled trial was conducted with 44 CLBP patients. Participants were randomized into two groups: the tele-assessment feedback group (TAFG) (n = 22) and the control group (CG) (n = 22). Participants were assessed before the intervention, at the 4th week and after the intervention. Individuals were assessed using the Visual Analog Scale (VAS), Nottingham Health Profile (NHP), Pain Catastrophizing Scale (PCS), Oswestry Disability Index (ODI), Telehealth Usability Questionnaire (TUQ), Telemedicine Satisfaction Questionnaire (TSQ), and Exercise Adaptation Rating Scale (EARS) via PhysioAnalyst. Individuals in the TAFG group received graph-based visual feedback on assessment data in week 4.
Results: The improvement in VAS, NHP, ODI, TUQ, TSQ, and EARS of individuals in TAFG was statistically significant (p < 0.05). Only ODI and PCS scores in CG showed significant improvement (p < 0.05). After the graphics-based visual feedback presented to the TAFG, the VAS, NHP-Emotional, NHP-Sleep, NHP-Total, PCS, TUQ, TSQ, ODI, and EARS scores gained more than CG (p < 0.05).
Conclusion: The results confirmed the additional contribution of telerehabilitation's graphics-based visual feedback in pain, pain catastrophizing, disability, quality of life, and exercise participation. Since the importance of continuity in long-term rehabilitation in patients with CLBP is comprehended, feedback to increase patient motivation can be added to telerehabilitation applications.
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http://dx.doi.org/10.1007/s00586-023-08098-1 | DOI Listing |
Micromachines (Basel)
October 2024
Korea Institute of Medical Microrobotics, Gwangju 61000, Republic of Korea.
This study introduces a tunable acoustic tweezer system designed for precise three-dimensional particle trapping and manipulation. The system utilizes a dual-liquid-layer acoustic lens, which enables the dynamic control of the focal length through the adjustable curvature of a latex membrane. This tunability is essential for generating the acoustic forces necessary for effective manipulation of particles, particularly along the direction of acoustic wave propagation (z-axis).
View Article and Find Full Text PDFHum Mov Sci
December 2024
School of Sport Sciences, Department of Sport Sciences, Osaka University of Health and Sport Sciences, 1-1 Asashirodai, Kumatori-cho, Sennan-gun, Osaka, 590-0496, Japan; Graduate School of Sport and Exercise Sciences, Osaka University of Health and Sport Sciences, 1-1 Asashirodai, Kumatori-cho, Sennan-gun, Osaka, 590-0496, Japan. Electronic address:
Neuropsychologia
November 2024
Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, India. Electronic address:
Predictive control within dexterous object manipulation while allowing for the choice of contact points has been shown to employ a predominantly feedback-based force modulation. The anticipation is thought to be facilitated through the internal representation of the object dynamics being integrated and updated on a trial-to-trial basis with the feedback of contact locations on the object. This is as opposed to the classically studied memory representation-based fingertip force control for grasping with pre-selected contact locations.
View Article and Find Full Text PDFFront Neurorobot
August 2024
Faculty of Education, University of Macau, Macau, Macau SAR, China.
In swimming, the posture and technique of athletes are crucial for improving performance. However, traditional swimming coaches often struggle to capture and analyze athletes' movements in real-time, which limits the effectiveness of coaching. Therefore, this paper proposes RL-CWtrans Net: a robot vision-driven multimodal swimming training system that provides precise and real-time guidance and feedback to swimmers.
View Article and Find Full Text PDFeNeuro
September 2024
Moss Rehabilitation Research Institute, Thomas Jefferson University, Elkins Park, Pennsylvania 19027.
The accurate estimation of limb state is necessary for movement planning and execution. While state estimation requires both feedforward and feedback information, we focus here on the latter. Prior literature has shown that integrating visual and proprioceptive feedback improves estimates of static limb position.
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