Method and system for assessing locomotive bio-rhythms

摘要

A method, system, and article of manufacture for detecting, recording, quantifying, and classifying gait data. In one embodiment, the method of the invention includes a step of detecting foot contact events using a portable sensor device. Stride data is collected by processing the detected foot contact events to obtain and record gait pattern data. At least one gait stability value is determined from the gait pattern data using a specified gait stability metric. The gait stability value is preferably a mathematical chaos value which is processed utilizing clustering correlation to classify the gait pattern data in association with a neuromuscular status. In a preferred embodiment, fuzzy logic is utilized to correlate the determined gait stability value with a plurality of gait stability values each associated with a distinct neuromuscular status.

主权项

1. A method for analyzing gait comprising:
collecting gait pattern data via a gait monitor device having a portable monitor unit adapted to be wearable by a subject and a gait data collection device including at least one toe-off (TO) force-sensitive sensor adapted to be positioned on a surface of an insole near a front ball of a foot of the subject, and at least one heel strike (HS) force-sensitive sensor adapted to be positioned on a surface of the insole below a heel of the subject, the gait data collection device communicatively coupled to the portable monitor unit and adapted to provide data to the portable monitor unit about initiation and termination of foot contact times during a gait cycle; specifying, via a data analyzer communicatively coupled to the portable monitor unit, a gait stability metric that is used to quantify a stability associated with the collected gait pattern data; determining, via one or more processors of the data analyzer, a gait stability value from the gait pattern data using the specified gait stability metric; wherein the determined gait stability value is a quantification of the stability associated with the collected gait pattern data; processing, via one or more processors of the data analyzer, the determined gait stability value in association with a pre-classified gait stability value utilizing a clustering correlation module of a memory of the data analyzer to determine the level of association of the collected gait pattern data with pre-classified gait pattern data, wherein the pre-classified gait pattern data has a pre-specified association with a neuromuscular status; and classifying, via one or more processors of the data analyzer, the gait pattern data in association with the neuromuscular status based on the determined level of association of the collected gait pattern data with pre-classified gait pattern data.