Neuromuscular model for Movement (NeMo)

Description

NeMo project forms the core of in silico technological solution to track neuromotor reorganisation after the initial damage that remains
the key deficit in the area of personalized health for all patients that suffer from neuromotor disorders such as Parkinson's Disease, Cerebral Palsy, Alzheimer’s Disease, Dementia and others. NeMo extracts signatures (phenotypes) from movement patterns to associate an individual’s quality of movement with their underlying neural damage and resulting motor deficit.The crossfertilization of biomechanics, deep learning techniques and clinical expertise will allow NeMo to effectively map neuromotor deficits and their interdependencies across pathologies in the long term, and thereby provide a user-friendly solution for identifying pathological motor patterns at an early time point.

Key Goals

• Effectively identify degenerative motor characteristics that are associated with risk of falling and subsequent injury in older adults
  
• Discriminating movement deficit due to neural damage from adaptation associated with the maturation or development of motor skills in clinical populations like Cerebral Palsy
• Personalizing therapeutic strategies in neurological populations including Parkinson's Disease