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Autism Spectrum Disorders are associated with atypical movements, of which stereotypical motor movements (SMMs) interfere with learning and social interaction. The automatic SMM detection using inertial measurement units (IMU) remains complex due to the strong intra and inter-subject variability, especially when handcrafted features are extracted from the signal. We propose a new application of the...
Stereotypical Motor Movements (SMMs) are abnormal postural or motor behaviors that interfere with learning and social interaction in Autism Spectrum Disorder patients. An automatic SMM detection system, employing inertial sensing technology, provides a useful tool for real-time alert on the onset of these atypical behaviors, therefore facilitating personalized intervention therapies. To tackle critical...
We developed Physiolyze, a Galaxy-based web framework to process Heart Rate Variability (HRV) data. Our framework includes the pyHRV library, an up-to-date collection of Python methods to calculate HRV indexes. Physiolyze can be used both through a web interface and a web service component for a fast and configurable embedding of HRV analysis in complex processing pipelines. The framework also provides...
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