Project title ArmTracker: A state-of-the-art wearable system to assess upper limb motor function in real-life conditions for patients with Duchenne muscular dystrophy and spinal muscular atrophy. Project description Duchenne muscular dystrophy (DMD) and spinal muscular atrophy (SMA) are two rare genetic conditions with onset in early childhood and characterized, until very recently, by progressive and devastating muscle weakness that led to inability or loss of ambulation, dependence, and premature death. Fortunately, recent unprecedented advances in gene therapy have opened a new era for DMD and SMA patients, substantially modifying the natural history of these disorders. In spite of this exciting context, the development of tools and methodologies used to evaluate and measure the response to these new therapies has not been proportional: motor function monitoring of DMD and SMA patients is still challenging, being restricted to the use of motor functional scales in an artificial environment. Sensitively measuring the motor function of DMD and SMA patients in real-life conditions is increasingly required in order to properly assess the patients’ baseline condition and their response to the new high-priced therapies. The purposes of the ArmTracker project are 1) refining a wearable sensing system that can gather continuous measurements on arm kinematics and 2) determining its feasibility to assess, in real-life conditions, the upper limb function of patients with DMD and SMA. Measured data will be analyzed applying machine learning methods. The correlations between clinical data, traditional motor function scales and the ArmTracker movement parameters will be analyzed. This project is funded by La Marató de TV3 and the consortium is composed by the Hospital Sant Joan de Déu, the Centre de Recerca en Enginyeria Biomèdica (CREB) at UPC, and the Institut de Robòtica i Informàtica Industrial (IRI) of CSIC-UPC. Your tasks You will be involved in research and development tasks related […]
Es tracta de formar científics de dades que puguin generar valor a partir del big data que es crea dins l’àmbit de la salut i que puguin contribuir a l’avenç de la medicina de precisió i personalitzada. Arriba en un moment d’inflexió en l’àmbit de la salut a escala global a causa de la pandèmia de la covid-19, que ha accelerat la necessitat de processar grans quantitats de dades biomèdiques per convertir-les en coneixement i millores del sistema. El màster en Ciències de Dades Biomèdiques de la Universitat Rovira i Virgili està dirigit a graduats en estudis científics i tècnics afins a la temàtica del màster (bioinformàtica, ciències, enginyeria) amb vocació d’especialitzar-se en ciència de dades en l’àmbit de la salut.