Suppr超能文献

[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.

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。

相似文献

1
[Commercial devices for monitoring symptoms in Parkinson's disease: benefits, limitations and trends].
Rev Neurol. 2024 Oct 16;79(8):229-237. doi: 10.33588/rn.7908.2024253.
2
Commercial symptom monitoring devices in Parkinson's disease: benefits, limitations, and trends.
Front Neurol. 2024 Dec 23;15:1470928. doi: 10.3389/fneur.2024.1470928. eCollection 2024.
4
Role of the Personal KinetiGraph in the routine clinical assessment of Parkinson's disease: recommendations from an expert panel.
Expert Rev Neurother. 2018 Aug;18(8):669-680. doi: 10.1080/14737175.2018.1503948. Epub 2018 Jul 26.
5
New Sensor and Wearable Technologies to Aid in the Diagnosis and Treatment Monitoring of Parkinson's Disease.
Annu Rev Biomed Eng. 2019 Jun 4;21:111-143. doi: 10.1146/annurev-bioeng-062117-121036.
8
Towards remote monitoring of Parkinson's disease tremor using wearable motion capture systems.
J Neurol Sci. 2018 Jan 15;384:38-45. doi: 10.1016/j.jns.2017.11.004. Epub 2017 Nov 8.
9
Wearable-Enabled Algorithms for the Estimation of Parkinson's Symptoms Evaluated in a Continuous Home Monitoring Setting Using Inertial Sensors.
IEEE Trans Neural Syst Rehabil Eng. 2024;32:3828-3836. doi: 10.1109/TNSRE.2024.3477003. Epub 2024 Oct 29.
10
PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease.
Sensors (Basel). 2014 Nov 11;14(11):21329-57. doi: 10.3390/s141121329.

本文引用的文献

1
2
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study.
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.
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.
NPJ Parkinsons Dis. 2023 Nov 2;9(1):153. doi: 10.1038/s41531-023-00585-y.
7
Clinical Evaluation in Parkinson's Disease: Is the Golden Standard Shiny Enough?
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.
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.
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?
Ann Neurol. 2023 Apr;93(4):681-685. doi: 10.1002/ana.26612. Epub 2023 Feb 9.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验