Universidade de São Paulo, Faculdade de Medicina, Departamento de Neurologia, Centro de Distúrbios do Movimento, São Paulo SP, Brazil.
Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behavior, Department of Neurology, Nijmegen, The Netherlands.
Arq Neuropsiquiatr. 2024 Jun;82(6):1-10. doi: 10.1055/s-0043-1777782. Epub 2024 Feb 23.
Gait disturbances are prevalent and debilitating symptoms, diminishing mobility and quality of life for Parkinson's disease (PD) individuals. While traditional treatments offer partial relief, there is a growing interest in alternative interventions to address this challenge. Recently, a remarkable surge in assisted technology (AT) development was witnessed to aid individuals with PD.
To explore the burgeoning landscape of AT interventions tailored to alleviate PD-related gait impairments and describe current research related to such aim.
In this review, we searched on PubMed for papers published in English (2018-2023). Additionally, the abstract of each study was read to ensure inclusion. Four researchers searched independently, including studies according to our inclusion and exclusion criteria.
We included studies that met all inclusion criteria. We identified key trends in assistive technology of gait parameters analysis in PD. These encompass wearable sensors, gait analysis, real-time feedback and cueing techniques, virtual reality, and robotics.
This review provides a resource for guiding future research, informing clinical decisions, and fostering collaboration among researchers, clinicians, and policymakers. By delineating this rapidly evolving field's contours, it aims to inspire further innovation, ultimately improving the lives of PD patients through more effective and personalized interventions.
步态障碍是一种普遍且使人虚弱的症状,降低了帕金森病(PD)患者的活动能力和生活质量。虽然传统治疗方法提供了部分缓解,但人们越来越关注替代干预措施来应对这一挑战。最近,辅助技术(AT)的发展出现了显著增长,以帮助 PD 患者。
探索针对 PD 相关步态障碍的 AT 干预措施的新兴领域,并描述与该目标相关的当前研究。
在本次综述中,我们在 PubMed 上搜索了 2018 年至 2023 年间发表的英文论文。此外,还阅读了每项研究的摘要,以确保纳入。四名研究人员独立搜索,根据纳入和排除标准纳入研究。
我们纳入了符合所有纳入标准的研究。我们确定了 PD 步态参数分析辅助技术的关键趋势。这些趋势包括可穿戴传感器、步态分析、实时反馈和提示技术、虚拟现实和机器人技术。
本综述为指导未来研究、为临床决策提供信息,并促进研究人员、临床医生和政策制定者之间的合作提供了资源。通过描绘这个快速发展领域的轮廓,旨在激发更多创新,最终通过更有效和个性化的干预措施改善 PD 患者的生活。