首页> 外文期刊>Archives of Physical Medicine and Rehabilitation >Comparison of Self-Report Versus Sensor-Based Methods for Measuring the Amount of Upper Limb Activity Outside the Clinic
【24h】

Comparison of Self-Report Versus Sensor-Based Methods for Measuring the Amount of Upper Limb Activity Outside the Clinic

机译:自我报告与传感器的基于传感器的比较测量诊所以外的上肢活动量

获取原文
获取原文并翻译 | 示例
           

摘要

ObjectiveTo compare self-reported with sensor-measured upper limb (UL) performance in daily life for individuals with chronic (≥6mo) UL paresis poststroke. DesignSecondary analysis of participants enrolled in a phase II randomized, parallel, dose-response UL movement trial. This analysis compared the accuracy and consistency between self-reported UL performance and sensor-measured UL performance at baseline and immediately post an 8-week intensive UL task-specific intervention. SettingOutpatient rehabilitation. ParticipantsCommunity-dwelling individuals with chronic (≥6mo) UL paresis poststroke (N=64). InterventionsNot applicable. Main Outcome MeasuresMotor Activity Log amount of use scale and the sensor-derived use ratio from wrist-worn accelerometers. ResultsThere was a high degree of variability between self-reported UL performance and the sensor-derived use ratio. Using sensor-based values as a reference, 3 distinct categories were identified: accurate reporters (reporting difference ±0.1), overreporters (difference >0.1), and underreporters (difference
机译:ObjectiveTo比较自我报告的具有传感器测量的上肢(UL)性能,为具有慢性(≥6mo)UL复发后的个体的个体的日常生活中。参与者参与的参与者分析随机,平行,剂量反应UL运动试验。该分析比较了自我报告的UL性能和传感器测量的UL性能之间的精度和一致性,并立即发布了8周的密集无线任务特定干预。设法康复。与慢性(≥6Mo)UL复发失败(n = 64)的参与者社区居住的个体。介入不适用。主要结果测量调节器活动日志使用量表和来自腕式加速度计的传感器衍生的使用比率。自我报告的UL性能与传感器衍生使用比率之间的高度可变性。使用基于传感器的值作为参考,确定了3个不同的类别:准确的记者(报告差值±0.1),过度报告器(差异> 0.1)和低调(差异<?0.1)。 64名参与者中的五个准确地自我报告的UL表现在基线和后期。超过一半的参与者(52%)转换类别从预先介绍(例如,从疏忽的预领取者转移以超额报销后续行驶)。对于一致的记者,没有发现参与者特征来影响某人是否与基于传感器的评估相比过度或遭受的表现。结论与传感器衍生的使用比相比,Participants并未始终如一地或准确地自我报告UL性能。虽然自我报告和基于传感器的评估适度相关,但概念上的概念上具有相似,但这些结果表明自我报告的UL性能通常与传感器测量的性能不一致,措施不能互换使用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号