4.6 Article

Validity of Hip and Ankle Worn Actigraph Accelerometers for Measuring Steps as a Function of Gait Speed during Steady State Walking and Continuous Turning

期刊

SENSORS
卷 21, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/s21093154

关键词

accelerometers; Bland– Altman plots; gait speed; interclass correlation coefficient; low frequency extension filter; Stepwatch

资金

  1. Norrbacka-Eugenia foundation
  2. Promobilia foundation
  3. NEURO Sweden
  4. Swedish Stroke Association

向作者/读者索取更多资源

This study investigated the accuracy and reliability of hip and ankle worn Actigraph GT3X+ accelerometers to measure steps at different gait speeds, finding that sensor placement and filter settings play a crucial role in accurate step count estimates. Ankle worn AG was shown to be the most sensitive for step detection across a wide range of gait speeds.
This study aimed to investigate the accuracy and reliability of hip and ankle worn Actigraph GT3X+ (AG) accelerometers to measure steps as a function of gait speed. Additionally, the effect of the low frequency extension filter (LFEF) on the step accuracy was determined. Thirty healthy individuals walked straight and walked with continuous turns in different gait speeds. Number of steps were recorded with a hip and ankle worn AG, and with a Stepwatch (SW) activity monitor positioned around the right ankle, which was used as a reference for step count. The percentage agreement, interclass correlation coefficients and Bland-Altmann plots were determined between the AG and the reference SW across gait speeds for the two walking conditions. The ankle worn AG with the default filter was the most sensitive for step detection at >0.6 m/s, whilst accurate step detection for gait speeds < 0.6 m/s were only observed when applying the LFEF. The hip worn AG with the default filter showed poor accuracy (12-78%) at gait speeds < 1.0 m/s whereas the accuracy increased to >87% for gait speeds < 1.0 m/s when applying the LFEF. Ankle worn AG was the most sensitive to measure steps at a vast range of gait speeds. Our results suggest that sensor placement and filter settings need to be taken into account to provide accurate estimates of step counts.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据