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本文引用的文献

1
Unveiling the Unpredictable in Parkinson's Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life.揭示帕金森病中的不可预测因素:基于传感器的日常生活中异动症和步态冻结监测
Bioengineering (Basel). 2024 Apr 29;11(5):440. doi: 10.3390/bioengineering11050440.
2
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study.使用腕戴式惯性传感器的真实步态检测:验证研究
JMIR Form Res. 2024 May 1;8:e50035. doi: 10.2196/50035.
3
Test-retest reliability of the six-minute walking distance measurements using FeetMe insoles by completely unassisted healthy adults in their homes.完全无辅助的健康成年人在家中使用FeetMe鞋垫进行六分钟步行距离测量的重测信度。
PLOS Digit Health. 2023 Nov 22;2(11):e0000262. doi: 10.1371/journal.pdig.0000262. eCollection 2023 Nov.
4
Overview on wearable sensors for the management of Parkinson's disease.用于帕金森病管理的可穿戴传感器综述。
NPJ Parkinsons Dis. 2023 Nov 2;9(1):153. doi: 10.1038/s41531-023-00585-y.
5
Application of single wrist-wearable accelerometry for objective motor diary assessment in fluctuating Parkinson's disease.单腕部可穿戴式加速度计在波动性帕金森病客观运动日记评估中的应用
NPJ Digit Med. 2023 Oct 17;6(1):194. doi: 10.1038/s41746-023-00937-1.
6
Clinical assessment of a new wearable tool for continuous and objective recording of motor fluctuations and ON/OFF states in patients with Parkinson's disease.新型可穿戴工具用于连续、客观记录帕金森病患者运动波动和开/关状态的临床评估。
PLoS One. 2023 Oct 5;18(10):e0287139. doi: 10.1371/journal.pone.0287139. eCollection 2023.
7
Clinical Evaluation in Parkinson's Disease: Is the Golden Standard Shiny Enough?帕金森病的临床评估:金标准是否足够闪亮?
Sensors (Basel). 2023 Apr 7;23(8):3807. doi: 10.3390/s23083807.
8
Real-Time Gait Phase Detection on Wearable Devices for Real-World Free-Living Gait.用于现实生活中自由行走步态的可穿戴设备实时步态阶段检测
IEEE J Biomed Health Inform. 2023 Mar;27(3):1295-1306. doi: 10.1109/JBHI.2022.3228329. Epub 2023 Mar 7.
9
Gait Event Prediction Using Surface Electromyography in Parkinsonian Patients.帕金森病患者中基于表面肌电图的步态事件预测
Bioengineering (Basel). 2023 Feb 6;10(2):212. doi: 10.3390/bioengineering10020212.
10
An Apple a Day to Keep the Parkinson's Disease Doctor Away?一天一苹果,帕金森医生远离我?
Ann Neurol. 2023 Apr;93(4):681-685. doi: 10.1002/ana.26612. Epub 2023 Feb 9.

[用于监测帕金森病症状的商用设备:益处、局限性及趋势]

[Commercial devices for monitoring symptoms in Parkinson's disease: benefits, limitations and trends].

作者信息

Rodríguez-Martín D, Pérez-López C

机构信息

Sense4Care SL, Cornellà de Llobregat, España.

Consorci Sanitari Alt Penedès-Garraf, Vilanova i la Geltrú, España.

出版信息

Rev Neurol. 2024 Oct 16;79(8):229-237. doi: 10.33588/rn.7908.2024253.

DOI:10.33588/rn.7908.2024253
PMID:39404037
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11605906/
Abstract

Parkinson's disease (PD) is a neurodegenerative disorder that significantly affects patients' quality of life. Treatment of PD requires accurate assessment of motor and non-motor symptoms, which is often complicated by subjectivity in reporting symptoms, and the limited availability of neurologists. Commercial wearable devices, which monitor PD symptoms continuously and outside the clinical setting, have appeared to address these challenges. These devices include PKG™, Kinesia 360™, Kinesia U™, PDMonitor™ and STAT-ON™. These devices use advanced technologies, including accelerometers, gyroscopes and specific algorithms to provide objective data on motor symptoms, such as tremor, dyskinesia and bradykinesia. Despite their potential, the adoption of these devices has been limited, due to concerns about their accuracy, complexity of use and the lack of independent validation. The correlation between the measurements obtained from these devices and traditional clinical observations varies, and their usability and patient adherence are critical areas for improvement. Validation and usability studies with a sufficient number of patients, standardised protocols and integration with hospitals' IT systems are essential to optimise their usefulness and improve patient outcomes.

摘要

帕金森病(PD)是一种神经退行性疾病,严重影响患者的生活质量。帕金森病的治疗需要准确评估运动和非运动症状,而症状报告的主观性以及神经科医生数量有限常常使这一过程变得复杂。能够在临床环境之外持续监测帕金森病症状的商用可穿戴设备似乎可以应对这些挑战。这些设备包括PKG™、Kinesia 360™、Kinesia U™、PDMonitor™和STAT-ON™。这些设备使用先进技术,包括加速度计、陀螺仪和特定算法,以提供有关震颤、运动障碍和运动迟缓等运动症状的客观数据。尽管它们具有潜力,但由于对其准确性、使用复杂性以及缺乏独立验证的担忧,这些设备的采用率一直很低。这些设备获得的测量结果与传统临床观察结果之间的相关性各不相同,其可用性和患者依从性是需要改进的关键领域。进行足够数量患者参与的验证和可用性研究、采用标准化方案并与医院的信息技术系统集成,对于优化其效用和改善患者治疗效果至关重要。