Pathogenic Factor Analysis of Shoulder Periarthritis and Design of Virtual Reality Exercise Intervention System.

IF 1.8 4区 计算机科学 Q3 ENGINEERING, BIOMEDICAL
Applied Bionics and Biomechanics Pub Date : 2024-12-19 eCollection Date: 2024-01-01 DOI:10.1155/abb/6543337
Yucheng Tian, Dan Qiu, Renjie Song, Xue Cheng, Feiyu Chen, Dongqing Sun, Yiduo Zhou, Shaomin Cai, Zhaowei Wang, Weijia Zhang
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Abstract

Shoulder periarthritis, a prevalent musculoskeletal disorder, causes significant pain and functional impairment, severely affecting patients' quality of life. With the increasing incidence of shoulder periarthritis linked to modern lifestyle changes, effective prevention and treatment strategies remain elusive. This study explores two areas: first, identifying risk factors for shoulder periarthritis through Mendelian randomization (MR) analysis, and second, designing a motion intervention system incorporating MediaPipe and virtual reality (VR) technology. The MR analysis revealed positive causal relationships between shoulder periarthritis and body mass index (BMI), cigarettes per day, insomnia, and sedentary behavior, while higher educational attainment was inversely associated with the condition. Based on these findings, we developed a "VR Harvest" exercise system aimed at alleviating shoulder stiffness due to prolonged sitting and reducing shoulder pain. By adjusting task difficulty to increase physical activity, the system also facilitates BMI reduction, potentially lowering the risk of shoulder periarthritis. The experimental results indicate that the "VR Harvest" therapy effectively alleviates pain and, compared to traditional exercise therapy, offers greater enjoyment, thereby enhancing participant engagement. Moreover, participants across different BMI categories experienced reductions in BMI after completing the intervention. This study offers a novel approach for shoulder periarthritis prevention and treatment, leveraging VR technology to improve both symptom relief and underlying risk factors.

肩周炎致病因素分析及虚拟现实运动干预系统设计。
肩周炎是一种常见的肌肉骨骼疾病,会引起明显的疼痛和功能障碍,严重影响患者的生活质量。随着肩周炎发病率的增加与现代生活方式的改变有关,有效的预防和治疗策略仍然难以捉摸。本研究探讨了两个方面:第一,通过孟德尔随机化(Mendelian randomization, MR)分析识别肩周炎的危险因素;第二,设计结合MediaPipe和虚拟现实(virtual reality, VR)技术的运动干预系统。磁共振分析显示肩周炎与身体质量指数(BMI)、每天吸烟、失眠和久坐行为呈正相关,而较高的受教育程度与病情呈负相关。基于这些发现,我们开发了一种“VR Harvest”运动系统,旨在缓解因长时间坐着而导致的肩部僵硬和减轻肩部疼痛。通过调整任务难度来增加体力活动,该系统还有助于降低BMI,潜在地降低肩周炎的风险。实验结果表明,“VR收获”疗法有效缓解了疼痛,与传统运动疗法相比,提供了更大的享受,从而提高了参与者的参与度。此外,不同BMI类别的参与者在完成干预后都经历了BMI的下降。本研究为肩周炎的预防和治疗提供了一种新的方法,利用VR技术改善症状缓解和潜在的危险因素。
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来源期刊
Applied Bionics and Biomechanics
Applied Bionics and Biomechanics ENGINEERING, BIOMEDICAL-ROBOTICS
自引率
4.50%
发文量
338
审稿时长
>12 weeks
期刊介绍: Applied Bionics and Biomechanics publishes papers that seek to understand the mechanics of biological systems, or that use the functions of living organisms as inspiration for the design new devices. Such systems may be used as artificial replacements, or aids, for their original biological purpose, or be used in a different setting altogether.
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