Association between gait video information and general cardiovascular diseases: a prospective cross-sectional study.

ABSTRACT:

Aims

Cardiovascular disease (CVD) may not be detected in time with conventional clinical approaches. Abnormal gait patterns have been associated with pathological conditions and can be monitored continuously by gait video. We aim to test the association between non-contact, video-based gait information and general CVD status.

Methods and results

Individuals undergoing confirmatory CVD evaluation were included in a prospective, cross-sectional study. Gait videos were recorded with a Kinect camera. Gait features were extracted from gait videos to correlate with the composite and individual components of CVD, including coronary artery disease, peripheral artery disease, heart failure, and cerebrovascular events. The incremental value of incorporating gait information with tradi

SUBMITTER: Zeng J 

PROVIDER: S-EPMC11284013 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature