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用于运动康复、预测和监测的可穿戴技术的趋势与创新:全面综述

Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review.

作者信息

Lobo Pedro, Morais Pedro, Murray Patrick, Vilaça João L

机构信息

2AI, School of Technology, IPCA, 4750-810 Barcelos, Portugal.

LIFE Research Institute, TUS-Technological University of the Shannon, V94 EC5T Limerick, Ireland.

出版信息

Sensors (Basel). 2024 Dec 13;24(24):7973. doi: 10.3390/s24247973.

DOI:10.3390/s24247973
PMID:39771710
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11679760/
Abstract

(1) Background: Continuous health promotion systems are increasingly important, enabling decentralized patient care, providing comfort, and reducing congestion in healthcare facilities. These systems allow for treatment beyond clinical settings and support preventive monitoring. Wearable systems have become essential tools for health monitoring, but they focus mainly on physiological data, overlooking motor data evaluation. The World Health Organization reports that 1.71 billion people globally suffer from musculoskeletal conditions, marked by pain and limited mobility. (2) Methods: To gain a deeper understanding of wearables for the motor rehabilitation, monitoring, and prediction of the progression and/or degradation of symptoms directly associated with upper-limb pathologies, this study was conducted. Thus, all articles indexed in the Web of Science database containing the terms "wearable", "upper limb", and ("rehabilitation" or "monitor" or "predict") between 2019 and 2023 were flagged for analysis. (3) Results: Out of 391 papers identified, 148 were included and analyzed, exploring pathologies, technologies, and their interrelationships. Technologies were categorized by typology and primary purpose. (4) Conclusions: The study identified essential sensory units and actuators in wearable systems for upper-limb physiotherapy and analyzed them based on treatment methods and targeted pathologies.

摘要

(1) 背景:持续健康促进系统日益重要,它能实现分散式患者护理,提供舒适感,并减少医疗机构的拥堵。这些系统允许在临床环境之外进行治疗,并支持预防性监测。可穿戴系统已成为健康监测的重要工具,但它们主要关注生理数据,而忽视了运动数据评估。世界卫生组织报告称,全球有17.1亿人患有肌肉骨骼疾病,其特征是疼痛和活动受限。(2) 方法:为了更深入地了解用于上肢疾病直接相关症状进展和/或退化的运动康复、监测和预测的可穿戴设备,开展了本研究。因此,对2019年至2023年间Web of Science数据库中索引的所有包含 “可穿戴”、“上肢” 以及(“康复” 或 “监测” 或 “预测”)等术语的文章进行标记以进行分析。(3) 结果:在确定的391篇论文中,有148篇被纳入并进行分析,探讨了疾病、技术及其相互关系。技术按类型和主要用途进行了分类。(4) 结论:该研究确定了用于上肢物理治疗的可穿戴系统中的基本传感单元和执行器,并根据治疗方法和目标疾病对它们进行了分析。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a173/11679760/4bcc881bdbc3/sensors-24-07973-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a173/11679760/f5243255080c/sensors-24-07973-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a173/11679760/b8e1d9f7665a/sensors-24-07973-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a173/11679760/ffc45cab0bbd/sensors-24-07973-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a173/11679760/bf409bb78d20/sensors-24-07973-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a173/11679760/65f245b5b08b/sensors-24-07973-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a173/11679760/7689e30463b1/sensors-24-07973-g012.jpg

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