A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics.

A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics.
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一种简单的低成本可穿戴传感器,可长期对膝关节运动学的长期监测。

DOI:
10.1109/tbme.2020.2988438
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发表时间:
2020-12
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
通讯作者:
Lee SI
Lee SI
中科院分区:
其他
文献类型:
--
作者:
Oubre B;Daneault JF;Boyer K;Kim JH;Jasim M;Bonato P;Lee SI

文献摘要

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在门诊环境中准确监测患有神经肌肉和肌肉骨骼疾病的个体的关节运动学可以提供有关疾病状态变化以及康复计划和/或药物治疗有效性的重要信息。本文介绍了一种可靠、节能且低成本的可穿戴系统,专为长期监测动态环境中的关节运动学而设计。十七名健康受试者佩戴可伸缩绳传感器,固定在膝关节相对部分的两个锚点上,同时以三种不同的自选速度行走。使用随机森林算法以留一受试者交叉验证方式根据校准的传感器值及其导数估计关节角度。所提出的系统在去除单个异常值受试者后估计研究受试者的膝关节屈曲/伸展角度,均方根误差 (RMSE) 为 5.0° ± 1.0°。异常值可能是传感器校准错误的结果。所提出的可穿戴设备可以准确地估计以各种步行速度运动期间的膝盖弯曲/伸展角度。我们相信,我们的新型可穿戴技术具有巨大的潜力,可以在动态环境中实现关节运动监测,从而为临床医生提供密切监测关节恢复情况、制定最佳的个性化康复计划并最终最大化治疗效果的机会。
Accurate monitoring of joint kinematics in individuals with neuromuscular and musculoskeletal disorders within ambulatory settings could provide important information about changes in disease status and the effectiveness of rehabilitation programs and/or pharmacological treatments. This paper introduces a reliable, power efficient, and low-cost wearable system designed for the long-term monitoring of joint kinematics in ambulatory settings. Seventeen healthy subjects wore a retractable string sensor, fixed to two anchor points on the opposing segments of the knee joint, while walking at three different self-selected speeds. Joint angles were estimated from calibrated sensor values and their derivatives in a leave-one-subject-out cross validation manner using a random forest algorithm. The proposed system estimated knee flexion/extension angles with a root mean square error (RMSE) of 5.0° ± 1.0° across the study subjects upon removal of a single outlier subject. The outlier was likely a result of sensor miscalibration. The proposed wearable device can accurately estimate knee flexion/extension angles during locomotion at various walking speeds. We believe that our novel wearable technology has great potential to enable joint kinematic monitoring in ambulatory settings and thus provide clinicians with an opportunity to closely monitor joint recovery, develop optimal, personalized rehabilitation programs, and ultimately maximize therapeutic outcomes.