Using sensors to measure activity in people with stroke.

Using sensors to measure activity in people with stroke.
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DOI:
10.1310/tsr1806-746
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发表时间:
2011-11
影响因子:
2.2
通讯作者:
Sazonov E
Sazonov E
中科院分区:
医学3区
文献类型:
--
作者:
Fulk GD;Sazonov E

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本研究的目的是确定一种新型鞋基传感器的能力,该传感器使用加速度计、压力传感器和支持向量机 (SVM) 的模式识别来准确识别中风患者的坐姿、站立姿势和行走姿势。 Subjects with stroke wore the shoe-based sensor while randomly assuming 3 main postures: sitting, standing, and walking.使用 SVM 分类器来训练和验证数据,以开发个体和群体模型,并测试准确性、召回率和精确度。八个科目参加了。个体模型和群体模型都能够准确识别不同的姿势(个体模型为 99.1% 至 100%,群体模型为 76.9% 至 100%)。 Recall and precision were also high for both individual (0.99 to 1.00) and group (0.82 to 0.99) models. The unique combination of accelerometer and pressure sensors built into the shoe was able to accurately identify postures.这种鞋子传感器可用于提供有关中风患者社区活动表现的准确信息,并作为远程康复干预的一部分提供行为增强反馈。
The purpose of this study was to determine the ability of a novel shoe-based sensor that uses accelerometers, pressure sensors, and pattern recognition with a support vector machine (SVM) to accurately identify sitting, standing, and walking postures in people with stroke. Subjects with stroke wore the shoe-based sensor while randomly assuming 3 main postures: sitting, standing, and walking. A SVM classifier was used to train and validate the data to develop individual and group models, which were tested for accuracy, recall, and precision. Eight subjects participated. Both individual and group models were able to accurately identify the different postures (99.1% to 100% individual models and 76.9% to 100% group models). Recall and precision were also high for both individual (0.99 to 1.00) and group (0.82 to 0.99) models. The unique combination of accelerometer and pressure sensors built into the shoe was able to accurately identify postures. This shoe sensor could be used to provide accurate information on community performance of activities in people with stroke as well as provide behavioral enhancing feedback as part of a telerehabilitation intervention.
DOI: 10.1016/s0003-9993(95)80038-7
发表时间: 1995-01-01
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