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Wearable Sensors Integrated with Virtual Reality: A Self-Guided Healthcare System Measuring Shoulder Joint Mobility for Frozen Shoulder

机译:可穿戴式传感器与虚拟现实相集成:一种自我指导的医疗保健系统可测量肩周关节对冰冻肩膀的活动性

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摘要

Frozen shoulder is a common clinical shoulder condition. Measuring the degree of shoulder joint movement is crucial to the rehabilitation process. Such measurements can be used to evaluate the severity of patients' condition, establish rehabilitation goals and appropriate activity difficulty levels, and understand the effects of rehabilitation. Currently, measurements of the shoulder joint movement degree are typically conducted by therapists using a protractor. However, along with the growth of telerehabilitation, measuring the shoulder joint mobility on patients' own at home will be needed. In this study, wireless inertial sensors were combined with the virtual reality interactive technology to provide an innovative shoulder joint mobility self-measurement system that can enable patients to measure their performance of four shoulder joint movements on their own at home. Pilot clinical trials were conducted with 25 patients to confirm the feasibility of the system. In addition, the results of correlation and differential analyses compared with the results of traditional measurement methods exhibited a high correlation, verifying the accuracy of the proposed system. Moreover, according to interviews with patients, they are confident in their ability to measure shoulder joint mobility themselves.
机译:肩周炎是临床上常见的肩部疾病。测量肩关节运动的程度对于康复过程至关重要。此类测量可用于评估患者状况的严重性,建立康复目标和适当的活动难度水平,以及了解康复的效果。当前,肩关节运动度的测量通常由治疗师使用量角器进行。然而,随着远程康复的发展,将需要在家中自行测量肩关节活动度。在这项研究中,无线惯性传感器与虚拟现实交互技术相结合,提供了一种创新的肩关节活动度自我测量系统,该系统可使患者在家中自行测量四个肩关节运动的表现。对25名患者进行了临床试验,以确认该系统的可行性。此外,相关性和差分分析的结果与传统测量方法的结果相比具有较高的相关性,从而验证了所提出系统的准确性。此外,根据对患者的采访,他们对自己测量肩关节活动度的能力充满信心。

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