Assessment of Gait Patterns during Crutch Assisted Gait through Spatial and Temporal Analysis

被引:0
作者
Dorado, Marien Narvaez [1 ]
Salazar, Miguel [1 ]
Aranda, Joan [1 ]
机构
[1] Univ Politecn Cataluna, Dept Automat Control, Barcelona Tech UPC, Edifici Omega,Campus Nord Jordi Girona 1-3, Barcelona 08034, Spain
关键词
assisted gait; assistive devices; gait patterns; gait analysis; instrumented crutches; FORCE;
D O I
10.3390/s24113555
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The use of crutches is a common method of assisting people during recovery from musculoskeletal injuries in the lower limbs. There are several different ways to walk with crutches depending on the patient's needs. The structure of crutch gaits or crutch gait patterns varies based on the delay between the aid and foot placement, the number of concurrent points of contact, and laterality. In a rehabilitation process, the prescribed pattern may differ according to the injury, the treatment and the individual's condition. Clinicians may improve diagnosis, assessment, training, and treatment by monitoring and analyzing gait patterns. This study aimed to assess and characterize four crutch walking patterns using spatial and temporal parameters obtained from the instrumented crutches. For this purpose, 27 healthy users performed four different gait patterns over multiple trials. Each trial was recorded using a portable system integrated into the crutches, which measured force, position, and acceleration. Based on the data angle, an algorithm was developed to segment the trials into gait cycles and identify gait phases. The next step was to determine the most appropriate metrics to describe each gait pattern. Several metrics were used to analyze the collected data, including force, acceleration, angle, and stride time. Among 27 participants, significant differences were found between crutch gait patterns. Through the use of these spatial and temporal parameters, promising results were obtained for monitoring assisted gait with crutches. Furthermore, the results demonstrated the possibility of using instrumented crutches as a clinical tool.
引用
收藏
页数:14
相关论文
共 26 条
[1]  
Ackermann M, 2012, P IEEE RAS-EMBS INT, P1476, DOI 10.1109/BioRob.2012.6290718
[2]   Quantifying Asymmetry in Gait: The Weighted Universal Symmetry Index to Evaluate 3D Ground Reaction Forces [J].
Alves, Sonia A. ;
Ehrig, Rainald M. ;
Raffalt, Peter C. ;
Bender, Alwina ;
Duda, Georg N. ;
Agres, Alison N. .
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2020, 8
[3]  
Capecci D, 2015, INT C REHAB ROBOT, P612, DOI 10.1109/ICORR.2015.7281268
[4]   Technology-Based Feedback and Its Efficacy in Improving Gait Parameters in Patients with Abnormal Gait: A Systematic Review [J].
Chamorro-Moriana, Gema ;
Jose Moreno, Antonio ;
Luis Sevillano, Jose .
SENSORS, 2018, 18 (01)
[5]   Prediction of three-dimensional crutch walking patterns using a torque-driven model [J].
Febrer-Nafria, Miriam ;
Pallares-Lopez, Roger ;
Fregly, Benjamin J. ;
Font-Llagunes, Josep M. .
MULTIBODY SYSTEM DYNAMICS, 2021, 51 (01) :1-19
[6]   Normative spatiotemporal gait parameters in older adults [J].
Hollman, John H. ;
McDade, Eric M. ;
Petersen, Ronald C. .
GAIT & POSTURE, 2011, 34 (01) :111-118
[7]   Explaining the unique nature of individual gait patterns with deep learning [J].
Horst, Fabian ;
Lapuschkin, Sebastian ;
Samek, Wojciech ;
Mueller, Klaus-Robert ;
Schoellhorn, Wolfgang, I .
SCIENTIFIC REPORTS, 2019, 9 (1)
[8]   Healthcare Sensor System Exploiting Instrumented Crutches for Force Measurement During Assisted Gait of Exoskeleton Users [J].
Lancini, Matteo ;
Serpelloni, Mauro ;
Pasinetti, Simone ;
Guanziroli, Eleonora .
IEEE SENSORS JOURNAL, 2016, 16 (23) :8228-8237
[9]   Analysis of Plantar Foot Pressure during the Non-crutch, Two-point, and Four-point Crutch Gait performed by Healthy Volunteers [J].
Lee, Jeong-Uk ;
Kim, Mee-Young ;
Kim, Ju-Hyun ;
Lee, Jeong-A ;
Yoon, Na-Mi ;
Hwang, Byong-Yong ;
Kim, Bokyung ;
Kim, Junghwan .
JOURNAL OF PHYSICAL THERAPY SCIENCE, 2011, 23 (03) :489-493
[10]  
Levin PE, 2010, J AM ACAD ORTHOP SUR, V18, P315