Method and system for detecting parkinson's disease progression

A system for detecting Parkinson's disease progression of a subject, the system comprising:

• an insole with a plurality of pressure sensors;
• at least one memory storing programmed instructions;
• at least one hardware processor operatively coupled to the at least one memory, wherein the at least one hardware processor are configured by the programmed instruction to:
• receive, a Vertical Ground Reaction Force (VGRF) data from each of a plurality of pressure sensors attached to an insole;
• determine, a stride information for each of the plurality of pressure sensors from the corresponding VGRF data, wherein each of the plurality of pressure sensors correspond to a plurality of pressure points in a foot of the subject, and each pressure point corresponds to a node in a graph;
• calculate, a mediolateral stability index from the calculated stride information associated with each node in the graph based on a betweenness centrality associated with each node;
• detect, an intensity of the Parkinson's disease of the subject by comparing the mediolateral stability index with a predetermined value.

One or more non-transitory machine readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors causes:

• receiving, by a one or more hardware processors, a Vertical Ground Reaction Force (VGRF) data from each of a plurality of pressure sensors attached to an insole;
• determining, by the one or more hardware processors, a stride information for each of the plurality of pressure sensors from the corresponding VGRF data, wherein each of the plurality of pressure sensors correspond to a plurality of pressure points in a foot of the subject, and each pressure point corresponds to a node in a graph;
• calculating, by the one or more hardware processors, a mediolateral stability index from the calculated stride information associated with each node in the graph based on a betweenness centrality associated with each node;
• and detecting, by the one or more hardware processors, an intensity of the Parkinson's disease of the subject by comparing the mediolateral stability index with a predetermined value.