Does external walking environment affect gait patterns?

被引:0
|
作者
Patterson, Matthew R. [1 ]
Whelan, Darragh [1 ]
Reginatto, Brenda [1 ]
Caprani, Niamh [2 ]
Walsh, Lorcan [3 ]
Smeaton, Alan F. [2 ]
Inomata, Akihiro [4 ]
Caulfield, Brian [1 ]
机构
[1] Univ Coll Dublin, Insight Ctr Data Analyt, Dublin 4, Ireland
[2] Dublin City Univ, Insight Ctr Data Analyt, Dublin 9, Ireland
[3] Dundalk Inst Technol, Ctr Affect Solut Ambient Assisted Living CASALA, Dundalk, Co Louth, Ireland
[4] Fujitsu Labs, Atsugi, Kanagawa, Japan
关键词
WEARABLE SENSORS; FALLS; RISK;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The objective of this work is to develop an understanding of the relationship between mobility metrics obtained outside of the clinic or laboratory and the context of the external environment. Ten subjects walked with an inertial sensor on each shank and a wearable camera around their neck. They were taken on a thirty minute walk in which they mobilized over the following conditions; normal path, busy hallway, rough ground, blind folded and on a hill. Stride time, stride time variability, stance time and peak shank rotation rate during swing were calculated using previously published algorithms. Stride time was significantly different between several of the conditions. Technological advances mean that gait variables can now be captured as patients go about their daily lives. The results of this study show that the external environment has a significant impact on the quality of gait metrics. Thus, context of external walking environment is an important consideration when analyzing ambulatory gait metrics from the unsupervised home and community setting.
引用
收藏
页码:2981 / 2984
页数:4
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