Spatiotemporal Gait Analysis for Cardiovascular Disease

Abstract

Gait analysis is a way of analyzing the subjects' walking pattern which has been discovered as an indicator for the identification of symptoms of the disease after among all the other clinical parameters. Gait disorder having no apparent reason is associated with cardiovascular disease and gait imbalance is the major factor for fall and fall related accidents. This study puts an effort to perform quantitative measurements of spatiotemporal gait parameters for the patients of cardiovascular disease using wearable sensor and explores the clinical symptoms from gait pattern. The research is carried out on 16 Healthy controls and 53 Cardiovascular patients. The result of the analysis presented that the gait parameters of the patients are greatly varied than that of Healthy Controls (HCs) which may serve as early indication of the symptoms of cardiovascular disease. This is a new idea in analyzing walking pattern of population suffering from different disease with different age-group and sex based on the various case studies in the same domain.