A wearable six-minute walk-based system to predict postoperative pulmonary complications after cardiac valve surgery: an exploratory study / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 1117-1125, 2023.
Article
in Zh
| WPRIM
| ID: wpr-1008941
Responsible library:
WPRO
ABSTRACT
In recent years, wearable devices have seen a booming development, and the integration of wearable devices with clinical settings is an important direction in the development of wearable devices. The purpose of this study is to establish a prediction model for postoperative pulmonary complications (PPCs) by continuously monitoring respiratory physiological parameters of cardiac valve surgery patients during the preoperative 6-Minute Walk Test (6MWT) with a wearable device. By enrolling 53 patients with cardiac valve diseases in the Department of Cardiovascular Surgery, West China Hospital, Sichuan University, the grouping was based on the presence or absence of PPCs in the postoperative period. The 6MWT continuous respiratory physiological parameters collected by the SensEcho wearable device were analyzed, and the group differences in respiratory parameters and oxygen saturation parameters were calculated, and a prediction model was constructed. The results showed that continuous monitoring of respiratory physiological parameters in 6MWT using a wearable device had a better predictive trend for PPCs in cardiac valve surgery patients, providing a novel reference model for integrating wearable devices with the clinic.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Postoperative Complications
/
Postoperative Period
/
Walking
/
Walk Test
/
Heart Valves
/
Lung
Limits:
Humans
Language:
Zh
Journal:
Journal of Biomedical Engineering
Year:
2023
Type:
Article