IEEE Trans Haptics. 2023 Apr-Jun;16(2):182-193. doi: 10.1109/TOH.2023.3248619. Epub 2023 Jun 20.
Poor trunk posture, especially during long periods of sitting, could lead to problems such as Low Back Pain (LBP) and Forward Head Posture (FHP). Typical solutions are based on visual or vibration-based feedback. However, these systems could lead to feedback being ignored by the user and phantom vibration syndrome, respectively. In this study, we propose using haptic feedback for postural adaptation. In this two-part study, twenty-four healthy participants (age 25.87 ± 2.17 years) adapted to three different postural targets in the anterior direction while performing a unimanual reaching task using a robotic device. Results suggest a strong adaptation to the desired postural targets. Mean anterior trunk bending after the intervention is significantly different compared to baseline measurements for all postural targets. Additional analysis of movement straightness and smoothness indicates an absence of any negative interference of posture-based feedback on the performance of reaching movement. Taken together, these results suggest that haptic feedback-based systems could be used for postural adaptation applications. Also, this type of postural adaptation system can be used during the rehabilitation of stroke patients to reduce trunk compensation in lieu of typical physical constraint-based methods.
不良的躯干姿势,尤其是长时间坐姿,可能导致下背痛(LBP)和前探头姿势(FHP)等问题。典型的解决方案基于视觉或基于振动的反馈。然而,这些系统可能会导致用户忽略反馈和幻触综合征。在这项研究中,我们提出使用触觉反馈进行姿势适应。在这项两部分的研究中,二十四名健康参与者(年龄 25.87 ± 2.17 岁)在使用机器人设备执行单侧伸手任务时,适应了三个不同的前向姿势目标。结果表明,对期望的姿势目标有很强的适应性。与所有姿势目标的基线测量相比,干预后的躯干前弯均值明显不同。对运动直线度和平滑度的进一步分析表明,基于姿势的反馈对伸手运动的性能没有任何负面影响。总的来说,这些结果表明基于触觉反馈的系统可用于姿势适应应用。此外,这种姿势适应系统可用于中风患者的康复治疗,以减少躯干代偿,替代典型的基于物理约束的方法。