Bacanoiu Manuela Violeta, Rusu Ligia, Marin Mihnea Ion, Piele Denisa, Rusu Mihai Robert, Danoiu Raluca, Danoiu Mircea
Sport Medicine and Physiotherapy Department, University of Craiova Romania, Craiova 200500, Romania.
Faculty of Mechanic, University of Craiova Romania, Craiova 200500, Romania.
J Clin Med. 2025 Jun 11;14(12):4140. doi: 10.3390/jcm14124140.
In addition to axial motor complications such as abnormal posture, instability, falls, and gait variability, neurodegenerative diseases like Parkinsonian syndromes include executive dysfunction, Parkinson's disease dementia, and neuropsychiatric symptoms. These motor disorders significantly affect mobility, quality of life, and well-being. Recently, physical activity of various intensities monitored both remotely and face-to-face via digital health technologies, mobile platforms, or sensory cues has gained relevance in managing idiopathic and atypical Parkinson's disease (PD and APD). Remote monitoring solutions, including home-based digital health assessments using semi-structured activities, offer unique advantages. Real-world gait parameters like walking speed can now be continuously assessed with body-worn sensors. Developing effective strategies to slow pathological aging and mitigate neurodegenerative progression is essential. This study presents outcomes of using digital health technologies (DHTs) for remote assessment of motor function, physical activity, and daily living tasks, aiming to reduce disease progression in PD and APD. In addition to wearable inertial sensors, clinical rating scales and digital biomarkers enhance the ability to characterize and monitor motor symptoms. By reviewing recent literature, we identified emerging trends in quantifying and intervening in neurodegeneration using tools that evaluate both remote and face-to-face physical activity. Our findings confirm that DHTs offer accurate detection of motor fluctuations and support clinical evaluations. In conclusion, DHTs represent a scalable, effective strategy for improving the clinical management of PD and APD. Their integration into healthcare systems may enhance patient outcomes, support early intervention, and help delay the progression of both motor and cognitive symptoms in aging individuals.
除了诸如异常姿势、不稳定、跌倒和步态变异性等轴性运动并发症外，帕金森综合征等神经退行性疾病还包括执行功能障碍、帕金森病痴呆和神经精神症状。这些运动障碍显著影响活动能力、生活质量和幸福感。最近，通过数字健康技术、移动平台或感官线索远程和面对面监测的各种强度的身体活动，在管理特发性和非典型帕金森病（PD和APD）方面变得越来越重要。远程监测解决方案，包括使用半结构化活动进行基于家庭的数字健康评估，具有独特的优势。现在可以使用可穿戴传感器持续评估诸如步行速度等现实世界的步态参数。制定有效的策略来减缓病理性衰老和减轻神经退行性进展至关重要。本研究展示了使用数字健康技术（DHTs）对运动功能、身体活动和日常生活任务进行远程评估的结果，旨在减少PD和APD的疾病进展。除了可穿戴惯性传感器外，临床评分量表和数字生物标志物增强了表征和监测运动症状的能力。通过回顾近期文献，我们确定了使用评估远程和面对面身体活动的工具来量化和干预神经退行性变的新趋势。我们的研究结果证实，DHTs能够准确检测运动波动并支持临床评估。总之，DHTs是改善PD和APD临床管理的一种可扩展、有效的策略。将它们整合到医疗保健系统中可能会改善患者预后，支持早期干预，并有助于延缓老年个体运动和认知症状的进展。
