Conventional Cervical Exercises Compared with a Mixed-Reality-Based Game in Asymptomatic Subjects: An Exploratory Crossover Pilot Study
Applied Sciences
; 12(7):3657, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1785493
ABSTRACT
Mixed reality presents itself as a potential technological tool for the management of people with musculoskeletal disorders, without having as many adverse side effects as immersive virtual reality. The objective of this study was to explore the possibilities of a mixed-reality game, performing task-oriented cervical exercises compared to conventional therapeutic exercises in sensorimotor outcome measures in asymptomatic subjects. A randomized crossover pilot study was performed with two intervention groups a mixed-reality group (MRG) and a conventional exercise group (CEG). The cervical joint position error test (CJPET) and deep cervical flexor endurance test (DCFET) were measured as sensorimotor outcomes. Statistically significant differences were found in the pre–post comparison in the DCFET for both groups (MRG t = −3.87, p < 0.01;CEG t = −4.01, p < 0.01) and in the extension of the CJPET for the MRG (t = 3.50, p < 0.01). The rest of the measurements showed no significant differences comparing both groups pre- and postintervention (p > 0.05). Mixed reality has apparently the same positive effects as conventional exercises in sensorimotor outcomes in asymptomatic subjects. These results could help in future studies with mixed virtual reality in the management of people with musculoskeletal disorders.
Sciences: Comprehensive Works; virtual reality; mixed reality; cervical spine; HoloLens; Patients; Software; Side effects; Usability; Sensorimotor system; Asymptomatic; Immersive virtual reality; Range of motion; Disorders; Fatigue tests; Rehabilitation; Computer applications; Neck pain; Musculoskeletal diseases; Statistical analysis; COVID-19; Position errors
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Applied Sciences
Year:
2022
Document Type:
Article
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