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用于帕金森病多系统监测与治疗的新兴可穿戴技术:一项叙述性综述

Emerging wearable technologies for multisystem monitoring and treatment of Parkinson's disease: a narrative review.

作者信息

Kehnemouyi Yasmine M, Coleman Todd P, Tass Peter A

机构信息

Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States.

Department of Bioengineering, Stanford University School of Engineering, Stanford, CA, United States.

出版信息

Front Netw Physiol. 2024 Feb 13;4:1354211. doi: 10.3389/fnetp.2024.1354211. eCollection 2024.

DOI:10.3389/fnetp.2024.1354211
PMID:38414636
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10896901/
Abstract

Parkinson's disease (PD) is a chronic movement disorder characterized by a variety of motor and nonmotor comorbidities, including cognitive impairment, gastrointestinal (GI) dysfunction, and autonomic/sleep disturbances. Symptoms typically fluctuate with different settings and environmental factors and thus need to be consistently monitored. Current methods, however, rely on infrequent rating scales performed in clinic. The advent of wearable technologies presents a new avenue to track objective measures of PD comorbidities longitudinally and more frequently. This narrative review discusses and proposes emerging wearable technologies that can monitor manifestations of motor, cognitive, GI, and autonomic/sleep comorbidities throughout the daily lives of PD individuals. This can provide more wholistic insight into real-time physiological pathological function with the potential to better assess treatments during clinical trials and allow physicians to optimize treatment regimens. Additionally, this narrative review briefly examines novel applications of wearables as therapy for PD patients.

摘要

帕金森病(PD)是一种慢性运动障碍,其特征是伴有多种运动和非运动合并症,包括认知障碍、胃肠道(GI)功能障碍以及自主神经/睡眠障碍。症状通常会因不同的环境和因素而波动,因此需要持续监测。然而,目前的方法依赖于在诊所进行的不频繁的评分量表。可穿戴技术的出现为纵向和更频繁地跟踪帕金森病合并症的客观指标提供了一条新途径。这篇叙述性综述讨论并提出了新兴的可穿戴技术,这些技术可以在帕金森病患者的日常生活中监测运动、认知、胃肠道和自主神经/睡眠合并症的表现。这可以提供对实时生理病理功能更全面的洞察,有可能在临床试验中更好地评估治疗效果,并使医生能够优化治疗方案。此外,这篇叙述性综述还简要探讨了可穿戴设备作为帕金森病患者治疗方法的新应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c33/10896901/d40186e6c2c9/fnetp-04-1354211-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c33/10896901/d40186e6c2c9/fnetp-04-1354211-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c33/10896901/d40186e6c2c9/fnetp-04-1354211-g001.jpg

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本文引用的文献

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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.
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Assessing focus through ear-EEG: a comparative study between conventional cap EEG and mobile in- and around-the-ear EEG systems.通过耳部脑电图评估注意力:传统帽式脑电图与耳部及耳周移动脑电图系统的对比研究。
Front Neurosci. 2023 Sep 26;17:895094. doi: 10.3389/fnins.2023.895094. eCollection 2023.
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使用可穿戴传感器和机器学习识别帕金森病的运动进展
NPJ Parkinsons Dis. 2023 Oct 7;9(1):142. doi: 10.1038/s41531-023-00581-2.
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Kinematic adaptive deep brain stimulation for gait impairment and freezing of gait in Parkinson's disease.运动学自适应深部脑刺激治疗帕金森病步态障碍和步态冻结
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Heart Rate Variability: A Measure of Cardiovascular Health and Possible Therapeutic Target in Dysautonomic Mental and Neurological Disorders.心率变异性:自主神经精神和神经障碍的心血管健康和可能治疗靶点的测量。
Appl Psychophysiol Biofeedback. 2022 Dec;47(4):273-287. doi: 10.1007/s10484-022-09572-0. Epub 2022 Nov 22.
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Dysautonomia and REM sleep behavior disorder contributions to progression of Parkinson's disease phenotypes.自主神经功能障碍和快速眼动睡眠行为障碍对帕金森病表型进展的影响。
NPJ Parkinsons Dis. 2022 Aug 30;8(1):110. doi: 10.1038/s41531-022-00373-0.
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