Method for determining abnormal gait
AssigneeKorea University Research and Business Foundation
InventorsHoon Heo, Hong-Youn Kim
Life of this patent
Estimating the term…
Abstract
The invention relates to a method for determining abnormal gait comprising the following steps: (a) measuring ground reaction force generated during walking by a plurality of sensors arranged on the left-foot and the right-foot respectively; (b) applying measurements from each of the plurality of sensors to a predetermined fuzzy membership function to transform the measurements into the first fuzzy values; (c) applying the first fuzzy values to a predetermined fuzzy logic to generate the second fuzzy values for a plurality of gait phases; and (d) comparing the second fuzzy values with pre-stored data of normal gait to determine whether it is abnormal gait or not. Therefore, it is possible to determine abnormal gait more accurately even with fewer sensors.
Claims7
A method for determining abnormal gait comprising:
- measuring, by a plurality of sensors, ground reaction force generated during walking, wherein the plurality of sensors are arranged on a left foot and a right foot of a walker;
- applying, by a fuzzy calculator, measurement values measured by each of the plurality of sensors to a predetermined fuzzy membership function to transform the measurement values into first fuzzy values;
- applying, by the fuzzy calculator, the first fuzzy values to a predetermined fuzzy logic to generate second fuzzy values corresponding to a plurality of gait phases;
- and
- comparing, by a gait-state determiner, the second fuzzy values with pre-registered data about normal gait;
- and
- diagnosing an abnormal gait or a normal gait of the walker based on the comparison of the second fuzzy values with the pre-registered data and reporting the diagnosis to a practitioner,
- wherein the fuzzy membership function is defined as
- f
- Large
-
- (
- x
- )
- =
- 1
- 2
-
- tanh
-
- (
- s
-
- (
- x
- -
- x
- 0
- )
- )
- +
- 1
- ∈
- [
- 0
- ,
- 1
- ]
- f
- Small
-
- (
- x
- )
- =
- 1
- -
- f
- Large
-
- (
- x
- )
- ∈
- [
- 0
- ,
- 1
- ]
- and,
- wherein fLarge(x) and fSmall(x) are the first fuzzy values, x is a measurement value, x0 is a predetermined reference value, and s is a sensibility coefficient.
Dependencies are inferred from the claim text.