Exploring potential risks of cross-legged sitting for adolescent idiopathic scoliosis patients by assessing buttock pressure distribution

Daoyuan Wang; Yang Tang; Zhihao Yang; Jian Lin; Gangmin Ning

doi:10.1117/12.2687526

28 August 2023 Exploring potential risks of cross-legged sitting for adolescent idiopathic scoliosis patients by assessing buttock pressure distribution

Daoyuan Wang, Yang Tang, Zhihao Yang, Jian Lin, Gangmin Ning

Author Affiliations +

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127241E (2023) https://doi.org/10.1117/12.2687526
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

In cases of prolonged sitting, cross-legged posture is commonly used. Cross-legged sitting's causes, benefits, and drawbacks have been studied in the general population, but not in adolescent idiopathic scoliosis (AIS) patients. To address this issue, the buttock pressure distributions of 11 healthy participants and 27 AIS patients were acquired by piezo-resistive sensor array. Pressure parameters, asymmetry index and equilibrium parameters were compared between upright sitting and cross-legged sitting. The results demonstrated that crossing legs promoted relaxation but could also result in high-pressure regions, pelvic deformities and unstable seated postures. These effects were more significant in the AIS group, indicating that AIS patients could receive a higher degree of harm when crossing their legs. According to our research, cross-legged sitting should be avoided, due it can have both short- and long-term negative effects.

Citation Download Citation

Daoyuan Wang, Yang Tang, Zhihao Yang, Jian Lin, and Gangmin Ning "Exploring potential risks of cross-legged sitting for adolescent idiopathic scoliosis patients by assessing buttock pressure distribution", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127241E (28 August 2023); https://doi.org/10.1117/12.2687526

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KEYWORDS

Artificial intelligence

Information technology

Sensors

Spine

Detector arrays

Deformation

Risk assessment

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