Parkinson's Disease (PD) severity level detection is crucial for timely and effective medical
intervention. Due to the scarcity of PD gait data especially subject samples of higher severity …

Machine learning can discern meaningful information from large datasets. Applying machine
learning techniques to raw sensor data from instrumented walkways could automatically …

Parkinson's disease (PD) severity assessment in clinical settings largely depends on
expertise level of clinicians which have inherent limitations and non-uniformity. Instrumented …

Rate of Recovery during the rehabilitation procedure is not effectively evaluated due to
existing limitations of measurement tools and large human variability. The conventional way …

Parkinson's disease (PD) is the world's second most neurodegenerative disorder that results
in a steady loss of movement. The symptoms in patients occur slowly with the passage of …

One problem in the quantitative assessment of biomechanical impairments in Parkinson's
disease patients is the need for scalable and adaptable computing systems. This work …

Parkinson's Disease (PD) diagnosis with an explicit severity level assessment is essential
for timely medical intervention. Gait analysis has been proven to assist in defining PD …

Recent years have witnessed an increasing global population affected by
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …

Parkinson's disease (PD) is one of the fastest-growing neurological diseases in the world,
characterized by impaired speech and walking abilities in patients. Currently, doctors …

Healthy aging is crucial for socioeconomic independence and quality living. Nevertheless,
age-related gait variations result in mobility issues influencing human walk. Hence, studying …