Simulation of  Parkinsonian gait by fusing trunk learned patterns and a lower limb first order model

Luisa Cárdenas; Fabio Martínez; Eduardo Romero

doi:10.1117/12.2073381

28 January 2015 Simulation of Parkinsonian gait by fusing trunk learned patterns and a lower limb first order model

Luisa Cárdenas, Fabio Martínez, Eduardo Romero

Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 92871B (2015) https://doi.org/10.1117/12.2073381
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia

Abstract

Parkinson’s disease is a neurodegenerative disorder that progressively affects the movement. Gait analysis is therefore crucial to determine a disease degree as well as to orient the diagnosis. However, gait examination is completely subjective and therefore prone to errors or misinterpretations, even with a great expertise. In addition, the conventional evaluation follows up general gait variables, which amounts to ignore subtle changes that definitely can modify the history of the treatment. This work presents a functional gait model that simulates the center of gravity trajectory (CoG) for different Parkinson disease stages. This model mimics the gait trajectory by coupling two models: a double pendulum (single stance phase) and a spring-mass model (double stance). Realistic simulations for different Parkinson disease stages are then obtained by integrating to the model a set of trunk bending patterns, learned from real patients. The proposed model was compared with the CoG of real Parkinson gaits in stages 2, 3, 4 achieving a correlation coefficient of 0.88, 0.92 and 0.86, respectively.

Citation Download Citation

Luisa Cárdenas, Fabio Martínez, and Eduardo Romero "Simulation of Parkinsonian gait by fusing trunk learned patterns and a lower limb first order model", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92871B (28 January 2015); https://doi.org/10.1117/12.2073381

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available