用多个和单独的惯性测量单元评估弓步运动的表现

D. Whelan, M. O'Reilly, T. Ward, E. Delahunt, B. Caulfield
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引用次数: 24

摘要

弓步是下肢康复、强化和损伤风险筛查的重要组成部分。不正确地完成这个动作会改变肌肉的活动,增加膝盖、髋关节和踝关节的压力。本研究旨在调查imu是否能够区分正确和不正确的弓步动作。80名志愿者(男性57人,女性23人,年龄24.68±4.91岁,身高1.75±0.094m,体重76.01±13.29kg)分别在腰椎、大腿和小腿上安装5个imu。然后,他们以正确的姿势和11个偏离可接受姿势的特定偏差进行弓步练习。从标记的传感器数据中提取特征并用于训练和评估随机森林分类器。该系统在二元分类中准确率为83%,灵敏度为62%,特异性为90%,单个传感器放置在右大腿;使用5个imu时准确率为90%,灵敏度为80%,特异性为92%。这种多传感器设置可以以70%的精度检测特定偏差。这些结果表明,单个IMU有可能区分正确和不正确的弓步形式,使用多个IMU增加了识别用户在完成弓步时所做的特定偏差的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating performance of the lunge exercise with multiple and individual inertial measurement units
The lunge is an important component of lower limb rehabilitation, strengthening and injury risk screening. Completing the movement incorrectly alters muscle activation and increases stress on knee, hip and ankle joints. This study sought to investigate whether IMUs are capable of discriminating between correct and incorrect performance of the lunge. Eighty volunteers (57 males, 23 females, age: 24.68± 4.91 years, height: 1.75± 0.094m, body mass: 76.01±13.29kg) were fitted with five IMUs positioned on the lumbar spine, thighs and shanks. They then performed the lunge exercise with correct form and 11 specific deviations from acceptable form. Features were extracted from the labelled sensor data and used to train and evaluate random-forests classifiers. The system achieved 83% accuracy, 62% sensitivity and 90% specificity in binary classification with a single sensor placed on the right thigh and 90% accuracy, 80% sensitivity and 92% specificity using five IMUs. This multi-sensor set up can detect specific deviations with 70% accuracy. These results indicate that a single IMU has the potential to differentiate between correct and incorrect lunge form and using multiple IMUs adds the possibility of identifying specific deviations a user is making when completing the lunge.
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