Validación de la clasificación funcional de la bipedestación del Hospital de Sagunto

García, S.; Cortés, A.; Viosca, Enrique; Escuder, Angel Vicente; González, C.; Querol, Marta Reynal

doi:10.1016/j.rh.2009.09.008

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…Control and target groups were treated with conventional physiotherapy for stroke, but specific techniques were added to the treatment of the target group depending on patients’ functional levels. Hospital of Sagunto (HS) Functional Scales were used to determine the functional level of each patient [ 12 – 14 ]. Additional techniques used in the target group aimed to strengthen balance, dissociation of movement and sensitivity (Table 1 ).…”

Section: Methodsmentioning

confidence: 99%

Functional principal component analysis as a new methodology for the analysis of the impact of two rehabilitation protocols in functional recovery after stroke

Sánchez-Sánchez

Lois

Horno

et al. 2014

Journal of NeuroEngineering and Rehabilitation

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BackgroundThis study addressed the problem of evaluating the effectiveness of two protocols of physiotherapy for functional recovery after stroke. In particular, the study explored the use of Functional Principal Component Analysis (FPCA), a multivariate data analysis in order to assess and clarify the process of regaining independence after stroke.MethodsA randomized double-blind controlled trial was performed. Thirteen subjects with residual hemiparesis after a single stroke episode were measured in both in- and outpatient settings at a district hospital. All subjects were able to walk before suffering the stroke and were hemodynamically stable within the first week after stroke. Control and target groups were treated with conventional physiotherapy for stroke, but specific techniques were added for treatment of the target group depending on patients’ functional levels.Independence level was assessed with the Barthel Index (BI) throughout 7 evolution stages (hemodynamic stability, beginning of standing, beginning of physical therapy sessions in the physiotherapy ward and monthly assessment for 6 months after stroke).ResultsFPCA was applied for data analysis. Statistically significant differences were found in the dynamics of the recovery process between the two physiotherapy protocols. The target group showed a trend of improvement six months after stroke that was not present in the control group.ConclusionsFPCA is a method which may be used to provide greater insight into the analysis of the rehabilitation process than that provided by conventional parametric methods. So, by using the whole curves as basic data parameters, subtle differences in the rehabilitation process can be found.FPCA represents a future aid for the fine analysis of similar physiotherapy techniques, when applied in subjects with a huge variability of functional recovery, as in the case of post-stroke patients.Electronic supplementary materialThe online version of this article (doi:10.1186/1743-0003-11-134) contains supplementary material, which is available to authorized users.

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Section: Methodsmentioning

confidence: 99%

Functional principal component analysis as a new methodology for the analysis of the impact of two rehabilitation protocols in functional recovery after stroke

Sánchez-Sánchez

Lois

Horno

et al. 2014

Journal of NeuroEngineering and Rehabilitation

View full text Add to dashboard Cite

show abstract

“…Classifications were used to determine the functional level of each participant [13,14,15]. Moreover, specific techniques aiming to strengthen sensitivity, movement dissociation and balance, were added to the target group also depending on their functional level.…”

Section: Interventionsmentioning

confidence: 99%