Towards Real-Time Detection of Gait Events on Different Terrains Using Time-Frequency Analysis and Peak Heuristics Algorithm.
文献类型：期刊论文
| 作者 | Zhou, Hui; Ji, Ning; Samuel, Oluwarotimi Williams; Cao, Yafei; Zhao, Zheyi; Chen, Shixiong; Li, Guanglin |
| 刊名 | SENSORS
 |
| 出版日期 | 2016 |
| 英文摘要 | Real-time detection of gait events can be applied as a reliable input to control drop foot correction devices and lower-limb prostheses. Among the differentsensors used to acquire the signals associated with walking for gait event detection, the accelerometer is considered as a preferable sensor due to its convenience of use, small size, low cost, reliability, and low power consumption. Based on the acceleration signals, different algorithms have been proposed to detect toe off (TO) and heel strike (HS) gait events in previous studies. While these algorithms could achieve a relatively reasonable performance in gaitevent detection, they suffer from limitations such as poor real-time performance and are less reliable in the cases of up stair and down stair terrains. In this study, a new algorithm is proposed to detect the gait events on three walking terrains in real-time based on the analysis of acceleration jerk signals with a time-frequency method to obtain gait parameters, and then the determination of the peaks of jerk signals using peak heuristics. The performance of the newly proposed algorithm was evaluated with eight healthy subjects when they were walking on level ground, up stairs, and down stairs. Our experimental results showed that the mean F1 scores of the proposed algorithm were above 0.98 for HS event detection and 0.95 for TO event detection on the three terrains. This indicates that the current algorithm would be robust and accurate for gait event detection on different terrains. Findings from the current study suggest that the proposed method may be a preferable option in some applications such as drop foot correction devices and leg prostheses. |
| 收录类别 | SCI |
| 原文出处 | http://www.mdpi.com/1424-8220/16/10/1634/htm |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10372]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | SENSORS |
| 推荐引用方式 GB/T 7714 | Zhou, Hui,Ji, Ning,Samuel, Oluwarotimi Williams,et al. Towards Real-Time Detection of Gait Events on Different Terrains Using Time-Frequency Analysis and Peak Heuristics Algorithm.[J]. SENSORS,2016. |
| APA | Zhou, Hui.,Ji, Ning.,Samuel, Oluwarotimi Williams.,Cao, Yafei.,Zhao, Zheyi.,...&Li, Guanglin.(2016).Towards Real-Time Detection of Gait Events on Different Terrains Using Time-Frequency Analysis and Peak Heuristics Algorithm..SENSORS. |
| MLA | Zhou, Hui,et al."Towards Real-Time Detection of Gait Events on Different Terrains Using Time-Frequency Analysis and Peak Heuristics Algorithm.".SENSORS (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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