González Barral Camila, Servais Laurent
Sysnav, Vernon, France.
Neuromuscular Reference Center, Department of Pediatrics, University Hospital Liège, Belgium.
Dev Med Child Neurol. 2025 Jul;67(7):834-853. doi: 10.1111/dmcn.16239. Epub 2025 Jan 31.
Wearable sensors have the potential to transform diagnosis, monitoring, and management of children who have neurological conditions. Traditional methods for assessing neurological disorders rely on clinical scales and subjective measures. The snapshot of the disease progression at a particular time point, lack of cooperation by the children during assessments, and susceptibility to bias limit the utility of these measures. Wearable sensors, which capture data continuously in natural settings, offer a non-invasive and objective alternative to traditional methods. This review examines the role of wearable sensors in various paediatric neurological conditions, including cerebral palsy, epilepsy, autism spectrum disorder, attention-deficit/hyperactivity disorder, as well as Rett syndrome, Down syndrome, Angelman syndrome, Prader-Willi syndrome, neuromuscular disorders such as Duchenne muscular dystrophy and spinal muscular atrophy, ataxia, Gaucher disease, headaches, and sleep disorders. The review highlights their application in tracking motor function, seizure activity, and daily movement patterns to gain insights into disease progression and therapeutic response. Although challenges related to population size, compliance, ethics, and regulatory approval remain, wearable technology promises to improve clinical trials and outcomes for patients in paediatric neurology.
可穿戴传感器有潜力改变对患有神经疾病儿童的诊断、监测和管理方式。评估神经疾病的传统方法依赖于临床量表和主观测量。特定时间点疾病进展的快照、儿童在评估期间缺乏配合以及易受偏差影响,限制了这些测量方法的效用。可穿戴传感器能在自然环境中持续捕捉数据,为传统方法提供了一种非侵入性且客观的替代方案。本综述探讨了可穿戴传感器在各种儿科神经疾病中的作用,包括脑瘫、癫痫、自闭症谱系障碍、注意力缺陷多动障碍,以及雷特综合征、唐氏综合征、天使综合征、普拉德 - 威利综合征、神经肌肉疾病如杜氏肌营养不良症和脊髓性肌萎缩症、共济失调、戈谢病、头痛和睡眠障碍。该综述强调了它们在追踪运动功能、癫痫活动和日常运动模式以深入了解疾病进展和治疗反应方面的应用。尽管与样本量、依从性、伦理和监管批准相关的挑战仍然存在,但可穿戴技术有望改善儿科神经病学患者的临床试验和治疗结果。