Spatial-Temporal Analysis of Gait in Amyotrophic Lateral Sclerosis Using Foot-Worn Inertial Sensors: An Observational Study

Q1 Computer Science Digital Biomarkers Pub Date : 2023-05-30 DOI:10.1159/000530067
Meghan Lukac, Hannah Luben, Anne E Martin, Zachary Simmons, A. Geronimo
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Abstract

Introduction: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that alters gait and increases the risk of falls. The current model of care involves in-person multidisciplinary clinic visits to, in part, assess alterations in gait, evaluate safety, and make recommendations for management. Clinic visits, however, are relatively infrequent, and multidisciplinary evaluations can be physically demanding for patients. To better understand how gait changes over time in those with ALS and enable healthcare providers to properly respond to these changes, remote monitoring of functional mobility would be advantageous. Methods: The objective of this study was to remotely track long-term changes in walking speed using wearable inertial measurement units (IMUs). Nine ALS patients and 6 healthy controls submitted twice-weekly home walking recordings for 24 and 4 weeks, respectively. An IMU data processing method was developed and validated against laboratory-measured walking speed. Results: For both ALS patients and healthy controls, home walking speed was less than clinic walking speed by an average of 0.19 m/s (p = 0.0024). Over 24 weeks, home walking speed significantly decreased for 5 of 9 ALS patients at an average of −0.021 m/s/months (p = 0.005). Those who eventually transitioned to using assistive device (AD) while on the study demonstrated a greater decrease in walking speed than those who did not. Conclusions: Remote longitudinal gait monitoring of ALS patients is feasible with the use of an IMU. Decreases in walking speed were detected in the majority of patients, most strongly in those who eventually transitioned to an AD. Home walking speed may more accurately represent the walking abilities of ALS patients in their real-life environments, a finding which further supports the case for remote monitoring in ALS.
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使用足部佩戴的惯性传感器对肌萎缩性脊髓侧索硬化症患者的步态进行时空分析:观察研究
简介肌萎缩侧索硬化症(ALS)是一种进行性神经退行性疾病,会改变步态并增加跌倒的风险。目前的治疗模式包括亲自到多学科诊所就诊,部分目的是评估步态的改变、评估安全性并提出管理建议。然而,门诊次数相对较少,而且多学科评估对患者的体力要求很高。为了更好地了解肌萎缩侧索硬化症患者步态随着时间的推移会发生怎样的变化,并使医疗服务提供者能够对这些变化做出正确的反应,对功能活动度进行远程监控将是非常有利的。方法:本研究的目的是利用可穿戴惯性测量单元(IMU)远程跟踪步行速度的长期变化。9 名 ALS 患者和 6 名健康对照组分别在 24 周和 4 周内提交了每周两次的家庭步行记录。我们开发了一种 IMU 数据处理方法,并根据实验室测量的步行速度进行了验证。结果显示对于 ALS 患者和健康对照组,家庭步行速度平均比诊所步行速度低 0.19 米/秒(p = 0.0024)。在 24 周内,9 名 ALS 患者中有 5 人的家庭步行速度明显下降,平均为-0.021 米/秒/月(p = 0.005)。那些在研究期间最终过渡到使用辅助设备(AD)的患者的步行速度比那些没有过渡到使用辅助设备的患者下降得更多。结论使用 IMU 对 ALS 患者进行远程纵向步态监测是可行的。大多数患者的步行速度都出现了下降,最终转为使用 AD 的患者的步行速度下降最为明显。家庭步行速度可能更准确地代表 ALS 患者在现实生活环境中的步行能力,这一发现进一步支持了对 ALS 进行远程监测。
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来源期刊
Digital Biomarkers
Digital Biomarkers Medicine-Medicine (miscellaneous)
CiteScore
10.60
自引率
0.00%
发文量
12
审稿时长
23 weeks
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