Due to advancements in technology, Posture-Analyzing and Virtual Reconstructing (PAViR) systems were developed. They used Red-Green-Blue-Depth camera sensors and artificial intelligence to evaluate human posture alignment, muscle balance, and movement without the use of radiation or physical markers. This technology served as a portable, X-ray-like device that was safe and user-friendly, providing detailed views of bone and muscle models alongside easy-to-understand 3D visualizations. However, how to utilize the data obtained from PAViR to support traditional treatment remained unclear. To fill this gap, this study aimed to investigate the effects of AI-based postural feedback on posture correction in patients with idiopathic scoliosis.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
30
The physical therapist reported the findings from the PAViR system to the participants during a 10-minute session. Data regarding skeletal alignment and muscle imbalances were provided to enhance participants' self-awareness of their specific postural issues. Furthermore, these insights were integrated into the subsequent training sessions for the experimental group.
The physical therapist conducted 60-minute sessions. These sessions were grounded in the principles of the Schroth Method and Physiotherapeutic Scoliosis-Specific Exercises (PSSE).
Faculty of Physical Therapy, Mahidol University
Salaya, Changwat Nakhon Pathom, Thailand
REEDCO postural score
The REEDCO Posture Assessment was used to evaluate postural scores during comfortable standing and postural self-correction.
Time frame: before and immediately after intervention
Angle of trunk rotation
A scoliometer was used to evaluate the angle of trunk rotation during Adam's Forward Bend Test.
Time frame: before and immediately after intervention
Postural Variables Derived from a 3D Motion Analysis System
A 3D motion analysis system (VICON Motion Systems Ltd., Oxford, UK) was used to evaluate postural variables during comfortable standing, postural self-correction, and the Adam's Forward Bend Test.
Time frame: before and immediately after intervention
Postural Variables Derived from a PAViR System
A PAViR system (MGsolutions Inc., Seoul, South Korea) was used to evaluate postural variables during comfortable standing, postural self-correction, and the Adam's Forward Bend Test.
Time frame: before and immediately after intervention
Illness Perception
The Brief Illness Perception Questionnaire (IPQ-B) was an accurate and valid assessment tool to measure and monitor illness perceptions. It consisted of nine items rated on a scale from 0 (minimum) to 10 (maximum). The first five assessed cognitive perceptions such as the effect on life (item 1); duration of illness (item 2); control over illness (item 3); beliefs about the effectiveness of treatment (item 4); and experience of symptoms (item 5). Items 6 and 8 assessed emotional aspects, which included concern about the illness and a multifaceted question about mood. Item 7 assessed the degree of understanding of the illness. The final item was open-ended, asking respondents to rank the three most important factors causing their illness.
Time frame: before and immediately after intervention
Exercise Motivation
The Behavioral Regulation in Exercise Questionnaire-2 (BREQ-2) was a 19-item questionnaire that measured the stages of the self-determination continuum with respect to motivation to exercise using a 5-point Likert scale (0 = not true for me, 4 = very true for me) and was modified by Markland and Tobin. The version by Markland and Tobin added an amotivation factor to the original external, introjected, identified, and intrinsic regulation factors.
Time frame: before and immediately after intervention
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