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可穿戴技术在神经功能障碍个体日常生活中监测上肢功能的应用。

Wearable Technologies for Monitoring Upper Extremity Functions During Daily Life in Neurologically Impaired Individuals.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2024;32:2737-2748. doi: 10.1109/TNSRE.2024.3435042. Epub 2024 Aug 2.

Abstract

Neurological disorders, including stroke, spinal cord injuries, multiple sclerosis, and Parkinson's disease, generally lead to diminished upper extremity (UE) function, impacting individuals' independence and quality of life. Traditional assessments predominantly focus on standardized clinical tasks, offering limited insights into real-life UE performance. In this context, this review focuses on wearable technologies as a promising solution to monitor UE function in neurologically impaired individuals during daily life activities. Our primary objective is to categorize the different sensors, review the data collection and understand the employed data processing approaches. After screening over 1500 papers and including 21 studies, what comes to light is that the majority of them involved stroke survivors, and predominantly employed accelerometers or inertial measurement units to collect kinematics. Most analyses in these studies were performed offline, focusing on activity duration and frequency as key metrics. Although wearable technology shows potential in monitoring UE function in real-life scenarios, it also appears that a solution combining non-intrusiveness, lightweight design, detailed hand and finger movement capture, contextual information, extended recording duration, ease of use, and privacy protection remains an elusive goal. These are critical characteristics for a monitoring solution and researchers in the field should try to integrate the most in future developments. Last but not least, it stands out a growing necessity for a multimodal approach in capturing comprehensive data on UE function during real-life activities to enhance the personalization of rehabilitation strategies and ultimately improve outcomes for these individuals.

摘要

神经系统疾病,包括中风、脊髓损伤、多发性硬化症和帕金森病,通常会导致上肢(UE)功能下降,影响个人的独立性和生活质量。传统评估主要侧重于标准化的临床任务,对现实生活中的 UE 性能提供的见解有限。在这种情况下,本综述重点介绍了可穿戴技术,作为监测神经系统受损个体日常生活中 UE 功能的一种有前途的解决方案。我们的主要目标是对不同的传感器进行分类,回顾数据收集并了解所采用的数据处理方法。在筛选了超过 1500 篇论文并纳入 21 项研究后,我们发现其中大多数涉及中风幸存者,并且主要使用加速度计或惯性测量单元来收集运动学数据。这些研究中的大多数分析都是离线进行的,重点关注活动持续时间和频率等关键指标。尽管可穿戴技术在监测现实生活场景中的 UE 功能方面显示出了潜力,但似乎仍难以实现一种集非侵入性、轻巧设计、详细的手部和手指运动捕捉、上下文信息、延长记录时间、易于使用和隐私保护于一体的解决方案。这些都是监测解决方案的关键特征,该领域的研究人员应尝试在未来的发展中整合这些特征。最后但同样重要的是,需要越来越多地采用多模态方法来捕捉现实生活活动中 UE 功能的综合数据,以增强康复策略的个性化,最终改善这些个体的预后。

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