Transfer of training in a shoot-don't-shoot scenario simulation

M.S.Gregory M. Cors

The reliability of the Leeds Movement Performance Index (LMPI): a new tool for neurological physiotherapy

Background: Measuring movement performance in people with neurological damage requires a tool that reflects physiotherapy assessment and clinical reasoning. The Leeds Movement Performance Index (LMPI) was previously developed by a group of neurological physiotherapists to fulfill these requirements. Objective: To assess the reliability of the LMPI for use in neurological physiotherapy practice. Methods: Twelve senior neurological physiotherapists were trained to use the LMPI and then asked to measure the movement performance of five patients whose movement had been previously video-recorded for this purpose. A retest session was completed after two weeks. Data were analysed to establish internal and external reliability. Results: Internal reliability was assessed using Cronbach's alpha coefficient, applied to the entire scale (0.862) and to each item (range 0.795–0.892). External (inter-rater) reliability was assessed by a calculation of the intraclass correlation coefficient for scores awarded by multiple raters (0.959), with individual item reliability ranging from 0.874 to 0.968. External (test–retest) reliability was assessed by calculating the Spearman's rank correlation coefficient between scores obtained on two testing occasions (0.792) with values of individual items ranging from 0.397 to 0.674. A variance components analysis partitioned variance into components arising from between-patient variability (55.2%) between-therapist variability (7.8%) and between-testing variability (2.8%). Conclusions: Results indicate that the LMPI is a reliable measurement tool when used by senior neurological physiotherapists Read More: http://informahealthcare.com/doi/abs/10.3109/09593985.2014.92976

SMARTVOX - A Web-Based Distributed Media Player as Notation Tool For Choral Practices

International audienceThe present paper describes the features and implementation of SmartVox an application designed to help vocal ensembles learn and perform polyphonic music.Technically, SmartVox is a distributed web application that delivers audiovisual scores through the performer’s mobile devices. From a singer’s point of view, this setup allows for the synergy between visual and acoustic stimuli, which facilitates the interpretive and performative processes, particularly in polyphonic passages. It also enables spatial separation of the performers (cori spezzati), and speeds up the learning process of unfamiliar musical materials (e.g. microtonal tuning, texts in a foreign language).The ubiquity of smartphones makes such a distributed system affordable and allows the use of SmartVox in multiple contexts, from professional ensembles to pedagogical and recreational practices