Work

Using Accelerometry to Track Clinical Trajectories: Aortic Valve Replacement as an Example

Year: 2017

Type: article

Abstract: Accelerometry technology has been used to capture motion in studies of physical activity, where these instruments have been used to assess the total amount of activity and its intensity. Clinicians have begun to realize that these characteristics could provide information about underlying health status and the use of monitors to predict clinical outcomes has increased. This presentation will review current applications of accelerometers in clinical practice. Using data from a pilot study of 53 patients undergoing aortic valve replacement either through open heart surgery or through transcatheter valve replacement, we will show the pre-intervention accelerometry data. We will then compare post-intervention accelerometry data over time, illustrating where there are significant differences between the types of valve replacement and between the pre- and the post-intervention accelerometry data. Accelerometry technology has been used to capture motion in studies of physical activity, where these instruments have been used to assess the total amount of activity and its intensity. Among other characteristics analyzed from the raw accelerometry signal include time spent sedentary, time in sleep, duration of bouts of motion, and time walking. Clinicians have begun to realize that these characteristics could provide information about underlying health status and the use of monitors to predict clinical outcomes has increased. This presentation will review current applications of accelerometers in clinical practice. Using data from a pilot study of 53 patients undergoing aortic valve replacement either through open heart surgery or through transcatheter valve replacement, we will show the pre-intervention accelerometry data. We will then compare post-intervention accelerometry data over time, illustrating where there are significant differences between the types of valve replacement and between the pre- and the post-intervention accelerometry data.

Source: Innovation in Aging

DOI: 10.1093/geroni/igx004.4923