Fall Risk Factors Analysis Based on Sample Entropy of Plantar Kinematic Signal during Stance Phase
文献类型：会议论文
| 作者 | Shengyun Liang; Huiyu Jia; Zilong Li; Huiqi Li; Xing Gao; Zuchang Ma; Yingnan Ma; Guoru Zhao |
| 出版日期 | 2016 |
| 会议名称 | EMBC2016 |
| 会议地点 | 美国佛罗里达 |
| 英文摘要 | Falls are a multi-causal phenomenon with a complex interaction. The aim of our research is to study the effect of multiple variables for potential risk of falls and construct an elderly fall risk assessment model based on demographics data and gait characteristics. A total of 101 subjects, whom belong to Malianwa Street, aged above 50 years old and participated in questionnaire survey. Participants were classified into three groups (high, medium and low risk group) according to the score of elderly fall risk assessment scale. In addition, the data of ground reaction force (GRF) and ground reaction moment (GRM) was record when they performed walking at comfortable state. The demographic variables, sample entropy of GRF and GRM, and impulse difference of bilateral foot were considered as potential explanatory variables of risk assessment model. Firstly, we investigated whether different groups could present difference in every variable. tatistical differences were found for the following variables: age (p=2.28e-05); impulse difference (p=0.02036); sample entropy of GRF in vertical direction (p=0.0144); sample entropy of GRM in anterior-posterior direction (p=0.0387). Finally, the multiple regression analysis results indicated that age, impulse difference and sample entropy of resultant GRM could identify individuals who had different levels of fall risk. Therefore, those results could potentially be useful in the fall risk assessment and monitor the state of physical function in elderly population. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10558]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Shengyun Liang,Huiyu Jia,Zilong Li,et al. Fall Risk Factors Analysis Based on Sample Entropy of Plantar Kinematic Signal during Stance Phase[C]. 见:EMBC2016. 美国佛罗里达. |
入库方式： OAI收割
来源：深圳先进技术研究院
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