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Smart garment for trunk posture monitoring: A preliminary study

机译:用于监视躯干姿势的智能服装:初步研究

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Background Poor postures of the spine have been considered in association with a number of spinal musculoskeletal disorders, including structural deformity of the spine and back pain. Improper posturing for the patients with spinal disorders may further deteriorate their pain and deformities. Therefore, posture training has been proposed and its rationale is to use the patient's own back muscles to keep the spine within the natural curvature. A posture training device may help to facilitate this therapeutic approach by providing continuous posture monitoring and feedback signals to the patient when "poor" posture is detected. In addition, the users of the device may learn good postural habits that could carry over into their whole life. Methods A smart garment with integrated accelerometers and gyroscopes, which can detect postural changes in terms of curvature variation of the spine in the sagittal and coronal planes, has been developed with intention to facilitate posture training. The smart garment was evaluated in laboratory tests and with 5 normal subjects during their daily activities. Results Laboratory tests verified that the accuracy of the system is Conclusion The smart garment has been developed to be a portable and user-friendly trunk posture monitoring system and it could be used for collection of the trunk posture information and provision of instant feedback to the user if necessary for posture training purpose. The current pilot study demonstrated that the posture of normal subjects could be monitored and trained via this smart garment. With further clinical investigations, this system could be considered in some flexible spinal deformities such as scoliosis and kyphosis.
机译:背景技术已经考虑到脊柱不良的姿势与许多脊柱肌肉骨骼疾病有关,包括脊柱的结构畸形和背部疼痛。脊柱疾病患者的不正确姿势可能进一步加剧他们的疼痛和畸形。因此,已经提出了姿势训练,其理由是利用患者自身的背部肌肉将脊柱保持在自然弯曲范围内。当检测到“不良”姿势时,姿势训练设备可通过向患者提供连续的姿势监视和反馈信号来帮助促进这种治疗方法。此外,设备的用户可能会学习良好的姿势习惯,这些习惯可能会延续到他们的整个生活中。方法已开发出一种集成了加速度计和陀螺仪的智能服装,该服装可以检测矢状面和冠状面中脊柱曲率变化的姿势变化,旨在促进姿势训练。在实验室测试中对智能服装进行了评估,并与5名正常受试者在日常活动中进行了评估。结果实验室测试验证了该系统的准确性。结论结论该智能服装已开发成为一种便携式且用户友好的躯干姿势监测系统,可用于收集躯干姿势信息并向用户提供即时反馈。必要时进行姿势训练。当前的初步研究表明,可以通过这种智能服装监视和训练正常受试者的姿势。通过进一步的临床研究,可以在一些脊柱侧凸和后凸畸形的柔性脊柱畸形中考虑使用该系统。

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