Sensorized Tip for Monitoring People with Multiple Sclerosis that Require Assistive Devices for Walking.

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Neurology

Background:

• Multiple Sclerosis (MS) significantly impacts patients, necessitating personalized rehabilitation.
• Assistive Devices for Walking (ADW) are crucial for mobility in People with Multiple Sclerosis (PwMS).
• Current monitoring methods may lack the granularity for effective individualization.

Purpose of the Study:

• To introduce a novel Sensorized Tip for monitoring PwMS using ADW.
• To validate algorithms for processing sensor data into relevant patient indicators.
• To assess the device's potential in characterizing patient status.

Main Methods:

• Development of an adaptable Sensorized Tip for common ADW (canes, crutches).
• Collection of sensor data during natural, everyday walking activities.
• Validation of data processing algorithms and a preliminary case study with PwMS.

Main Results:

• The Sensorized Tip provides data adaptable to individual ADW.
• Processed data yields relevant indicators for patient status assessment.
• A preliminary study demonstrated the device's potential for monitoring and characterization.

Conclusions:

• The Sensorized Tip offers a promising technological solution for monitoring PwMS.
• Individualized data collection supports tailored rehabilitation strategies.
• Further studies can leverage this technology for improved MS management.