Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients | JWl JOURNAL OF NEUROENGINEERING HE1 AND REHABILITATION A biofeedback cycling training to improve locomotion a case series study based on gait pattern classification of 153 chronic stroke patients Ferrante et al. Ferrante et al. Journal of NeuroEngineering and Rehabilitation 2011 8 47 http content 8 1 47 ilJMl JOURNAL OF NEUROENGINEERING AND REHABILITATION RESEARCH Open Access A biofeedback cycling training to improve locomotion a case series study based on gait pattern classification of 153 chronic stroke patients 1 11 2 2 1 Simona Ferrante Emilia Ambrosini Paola Ravelli Eleonora Guanziroli Franco Molteni Giancarlo Ferrigno and Alessandra Pedrocchi 1 Abstract Background The restoration of walking ability is the main goal of post-stroke lower limb rehabilitation and different studies suggest that pedaling may have a positive effect on locomotion. The aim of this study was to explore the feasibility of a biofeedback pedaling treatment and its effects on cycling and walking ability in chronic stroke patients. A case series study was designed and participants were recruited based on a gait pattern classification of a population of 153 chronic stroke patients. Methods In order to optimize participants selection a k-means cluster analysis was performed to subgroup homogenous gait patterns in terms of gait speed and symmetry. The training consisted of a 2-week treatment of 6 sessions. A visual biofeedback helped the subjects in maintaining a symmetrical contribution of the two legs during pedaling. Participants were assessed before after training and at follow-up visits one week after treatment . Outcome measures were the unbalance during a pedaling test and the temporal spatial and symmetry parameters during gait analysis. Results and discussion Three clusters mainly differing in terms of gait speed were identified and participants representative of each cluster were selected. An intra-subject statistical analysis ANOVA showed that all .
