Wearable Devices for Gait Analysis in Intelligent Healthcare

被引:36
|
作者
Liu, Xin [1 ,2 ,3 ]
Zhao, Chen [1 ,3 ]
Zheng, Bin [2 ]
Guo, Qinwei [4 ]
Duan, Xiaoqin [2 ,5 ]
Wulamu, Aziguli [1 ,3 ]
Zhang, Dezheng [1 ,3 ]
机构
[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing, Peoples R China
[2] Univ Alberta, Dept Surg, Surg Simulat Res Lab, Edmonton, AB, Canada
[3] Beijing Key Lab Knowledge Engn Mat Sci, Beijing, Peoples R China
[4] Peking Univ Third Hosp, Inst Sports Med, Beijing, Peoples R China
[5] Jilin Univ Second Hosp, Dept Rehabil Med, Changchun, Peoples R China
来源
基金
芬兰科学院; 中国国家自然科学基金;
关键词
gait analysis; motion-tracking; spatiotemporal variables; kinematics; application; INERTIAL MEASUREMENT UNIT; SENSOR; FOOT; MOBILE; VALIDATION; SYSTEM; MOTION;
D O I
10.3389/fcomp.2021.661676
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this study, we review the role of wearable devices in tracking our daily locomotion. We discuss types of wearable devices that can be used, methods for gait analyses, and multiple healthcare-related applications aided by artificial intelligence. Impaired walking and locomotion are common resulting from injuries, degenerative pathologies, musculoskeletal disorders, and various neurological damages. Daily tracking and gait analysis are convenient and efficient approaches for monitoring human walking, where concreate and rich data can be obtained for examining our posture control mechanism during body movement and providing enhanced clinical pieces of evidence for diagnoses and treatments. Many sensors in wearable devices can help to record data of walking and running; spatiotemporal and kinematic variables can be further calculated in gait analysis. We report our previous works in gait analysis, discussing applications of wearable devices for detecting foot and ankle lesions, supporting surgeons in early diagnosis, and helping physicians with rehabilitation.
引用
收藏
页数:8
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