Assessment of gait patterns during crutch assisted gait through spatial and temporal analysis

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 betwee...

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Detalhes bibliográficos
Autores: Narváez Dorado, Marien Cristina|||0000-0003-4794-5063, Salazar del Río, Miguel Antonio, Aranda López, Juan|||0000-0001-9283-9548
Formato: artículo
Fecha de publicación:2024
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/417805
Acesso em linha:https://hdl.handle.net/2117/417805
https://dx.doi.org/10.3390/s24113555
Access Level:acceso abierto
Palavra-chave:Assisted gait
Assistive devices
Gait patterns
Gait analysis
Instrumented crutches
Àrees temàtiques de la UPC::Enginyeria biomèdica
Descrição
Resumo: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.