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一种可穿戴的全膝关节置换术后活动评估设备:一项纵向可行性研究。

A wearable mobility assessment device for total knee replacement: A longitudinal feasibility study.

机构信息

Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, United Kingdom.

Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, United Kingdom.

出版信息

Int J Surg. 2015 Jun;18:14-20. doi: 10.1016/j.ijsu.2015.04.032. Epub 2015 Apr 10.

Abstract

BACKGROUND

Total knee replacement currently lacks robust indications and objective follow-up metrics. Patients and healthcare staff are under-equipped to optimise outcomes. This study aims to investigate the feasibility of using an ear-worn motion sensor (e-AR, Imperial College London) to conduct objective, home-based mobility assessments in the peri-operative setting.

METHODS

Fourteen patients on the waiting list for knee replacement, and 15 healthy subjects, were recruited. Pre-operatively, and at 1, 3, 6, 12 and 24 weeks post-operatively, patients underwent functional mobility testing (Timed Up and Go), knee examination (including range of motion), and an activity protocol whilst wearing the e-AR sensor. Features extracted from sensor motion data were used to assess patient performance and predict patients' recovery phase.

RESULTS

Sensor-derived peri-operative mobility trends correlated with clinical measures in several activities, allowing functional recovery of individual subjects to be profiled and compared, including the detection of a complication. Sensor data features enabled classification of subjects into normal, pre-operative and 24-week post-operative groups with 89% (median) accuracy. Classification accuracy was reduced to 69% when including all time intervals.

DISCUSSION

This study demonstrates a novel, objective method of assessing peri-operative mobility, which could be used to supplement surgical decision-making and facilitate community-based follow-up.

摘要

背景

全膝关节置换术目前缺乏强有力的适应证和客观的随访指标。患者和医护人员在优化治疗效果方面能力不足。本研究旨在探讨使用耳戴式运动传感器(e-AR,伦敦帝国理工学院)在围手术期进行客观、家庭移动评估的可行性。

方法

招募了 14 名等待膝关节置换的患者和 15 名健康受试者。在术前、术后 1、3、6、12 和 24 周,患者佩戴 e-AR 传感器进行功能性移动测试(计时起立行走测试)、膝关节检查(包括活动范围)和活动方案。从传感器运动数据中提取的特征用于评估患者的表现并预测患者的恢复阶段。

结果

传感器衍生的围手术期移动趋势与几项活动中的临床测量相关,允许对个体患者的功能恢复进行分析和比较,包括并发症的检测。传感器数据特征能够以 89%(中位数)的准确度将受试者分类为正常、术前和术后 24 周组。当包括所有时间间隔时,分类准确度降低至 69%。

讨论

本研究展示了一种评估围手术期移动的新颖、客观方法,可用于辅助手术决策并促进基于社区的随访。

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