Wearable Devices for Early Warning of Acute Exacerbation in Chronic Obstructive Pulmonary Disease Patients

Chun Chieh Hsiao, Cai Ying Chu, Ren Guey Lee, Jer Hwa Chang, Chwan Lu Tseng

研究成果: 書貢獻/報告類型會議貢獻

摘要

Chronic Obstructive Pulmonary Disease (COPD) is one of the leading causes of chronic diseases and deaths worldwide. When acute exacerbation of COPD (AECOPD) occurs, the frequency and severity of malignant attacks are highly correlated with the mortality rate. The purpose of this study is to use wearable devices to collect the physiological parameters of patients for early warning and prevention of complications of possible AECOPD attacks in the future. The subjects used wearable devices to measure Heart Rate Variability (HRV) at home. Physiological data and health assessment scales of 13 COPD patients were collected during the 6-month study period. According to the scale responses, the severity of the condition was classified into mild AE and no AE. If the subject needed emergency medical treatment due to COPD, it was classified as AE. With the scale classification method, a machine-learning Random Forest (RF) algorithm is used to predict the occurrence of AECOPD in the next 7 days, so as to prevent the deterioration of the disease in advance. The results of the study show that the accuracy of the model is more than 92% according to different classification methods, and using the mixed-parameter model as a feature for the prediction can improve the sensitivity of the original warning mechanism. In order to provide predictive results to the nursing staff at any time, the user interface of our system would transmit a warning message to remind the nursing staff to ensure early medical intervention for patients to avoid the occurrence of AECOPD.
原文英語
主出版物標題2023 IEEE International Conference on Systems, Man, and Cybernetics
主出版物子標題Improving the Quality of Life, SMC 2023 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面4513-4518
頁數6
ISBN(電子)9798350337020
DOIs
出版狀態已發佈 - 10月 2023
事件2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023 - Hybrid, Honolulu, 美国
持續時間: 10月 1 202310月 4 2023

出版系列

名字Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN(列印)1062-922X

會議

會議2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
國家/地區美国
城市Hybrid, Honolulu
期間10/1/2310/4/23

ASJC Scopus subject areas

  • 電氣與電子工程
  • 控制與系統工程
  • 人機介面

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