GAIT ANALYSIS

• US 20090030350A1
• Filed: 02/02/2007
• Published: 01/29/2009
• Est. Priority Date: 02/02/2006
• Status: Abandoned Application

• Current Assignee: Imperial Innovations Limited (Imperial College London)
• Original Assignee: Imperial Innovations Limited (Imperial College London)
• Inventors: Yang, Guang-Zhong, Lo, Benny
• Application Number:
  US12/278,216
• Publication Number:
  US 20090030350A1
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/7253 characterised by using transforms
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G06F 18/2137 based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps
• CPC Class Codes: G06F 2218/06 by applying a scale-space analysis, e.g. using wavelet analysis
• CPC Class Codes: G06F 2218/18 by plotting the signal segments against each other, e.g. analysing scattergrams
• CPC Class Codes: G06V 40/25 Recognition of walking or running movements, e.g. gait recognition

Abstract

A method and system for analysing gait patterns of a subject by measuring head acceleration in vertical direction. The system comprises an accelerometer mounted on the head of the subject. The analysis includes calculating a signature from the acceleration data, using a Fourier transform, including energy of the first harmonics and comparing the signature with the baseline signature. Baseline signature is a representative of previously stored signatures. The comparison is done in order to monitor changes in the gait signatures over time. The entropy of the signatures may be used to perform the comparison. A self organised map is used to classify the measured gait signals.

Claims

1. A method of analysing gait including measuring a signal representative of acceleration of the head of a subject whose gait is to be analysed, and applying a transform to the measured signal to compute a gait signature representative of the gait of the subject.

2. A method as claimed in claim 1 which further includes comparing the gait signature to a baseline signature to detect differences therebetween.

3. A method as claimed in claim 2 in which one or more signatures are stored over time and the baseline signature is representative of one or more stored signatures in order to monitor changes in the gait signature over time.

4. A method as claimed in claim 1 in which the measured signature is representative of an acceleration in a substantially vertical direction when the subject is in an upright position.

5. A method as claimed in claim 1 in which the transform is a Fourier transform.

6. A method as claimed in claim 5 in which the signature includes the values of the energy of the first n harmonics.

7. A method as claimed in claim 1 in which the transform is a wavelet analysis.

8. A method as claimed in claim 1 in which the signature is used as an input to a self organised map or a spatio-temporal self-organised map.

9. A method as claimed in claim 1 including calculating the entropy of the signature, and using the calculated entropy to compare signatures.

10. A gait analysis system including an acceleration sensor mounted in a sensor housing which is adapted to be secured to the head of a human:

and an analyser operatively coupled to a sensor and operable to receive an output representative of head acceleration therefrom, and to apply a transform thereto for computing a gait signature representative of a gait pattern.

11. A system as claimed in claim 10 which further includes a comparator operable to compare the signature to a baseline signature in order to detect the differences therebetween.

12. A system as claimed in claim 11 which further includes a memory for storing one or more signatures of which the baseline is representative of one or more of the stored signatures such that the comparator can be used to monitor changes in the signature over time.

13. A system as claimed in claim 10 in which the housing is adapted to be mounted such that the output is representative of head acceleration in a substantially vertical direction when the subject is in an upright position.

14. A system as claimed in claim 10 which is included within the housing.

15. A system as claimed in claim 10 in which the housing includes an ear plug, a behind-the-ear clip, an ear ring, an ear clip, a hearing aid or a pair of spectacles.

16. A system as claimed in claim 10 in which the housing is secured to a headband, a hat or other head wear.

17. A system as claimed in claim 10, in which the transform is a Fourier transform.

18. A system as claimed in claim 17 in which the signature includes the values of the energy of the first n harmonics.

19. A system as claimed in claim 10 in which the transform is a wavelet analysis.

20. A system as claimed in claim 10 further including a further analyser including a self organised map or a spatio-temporal self organised map which is operable to receive the signature as an input.