Human Motion Analysis – BIOLAB@PoliTO

Machine learning for muscle activation patterns identification during cyclical movements

Brief Description: Cyclical movements are characterized by different muscle activation patterns (onset-offset timings). To interpret correctly the electromyographic (EMG) data, it is important to group cycles sharing similar EMG activation patterns. We developed a method ...read more...

Multisensory integration in balance control

Brief Description: Balance control is a complex motor skill, which involves the integration of many types of sensory information (sight, vestibular system and proprioception). Postural control can be modified by sensory input alterations consequent to a pathology: vision ...read more...

Muscle synergy extraction in human balance and motor control

Brief Description: Motor tasks are achieved by activating an appropriate set of muscles depending on the task constraints of a specific movement. The central nervous system (CNS) plays the main role in motor control since it activates each muscle choosing ...read more...

Neural commands in Parkinson's Disease (PD) patients before and after Deep Brain Stimulation (DBS)

Brief Description: - ...read more...

Statistical gait analysis

Brief Description: Gait analysis is widely used in clinics to study walking abnormalities for surgery planning, definition of therapeutic and rehabilitation protocols, and objective evaluation of clinical outcomes. Among the principal applications of clinical gait ...read more...

Machine learning for muscle activation patterns identification during cyclical movements

Multisensory integration in balance control

Muscle synergy extraction in human balance and motor control

Neural commands in Parkinson's Disease (PD) patients before and after Deep Brain Stimulation (DBS)

Statistical gait analysis

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