Gait Quality Diagnostics - Neurological Disorders

Multiple sclerosis (MS) is the most common cause of neurological disability in young and middle-aged people. MS has a physical, psychological and financial impact on patients and their families. Up to 85 % of patients with MS identify gait disorders as a major problem. The ability to monitor the development of the disorder over time is highly valued diagnostic measure. Falling because of old age, neurological disorders, movement disorders and injuries can be predicted by the assessment of change in gait quality.

A set of wearable sensors and the first computing unit – assessing the overall gait quality in real time while walking, providing immediate feedback to the user or the physician. Subsequently, the second unit identifies several gait disorders, their extent and probable cause. In both cases, the evaluation is performed using machine learning modules. Both approaches show relatively great robustness of the approach used and the relative simplicity of computer performance, especially in the near future. For general use the first step processing can warn patients or elderly people on the probability of falling.