A Phlegm Stagnation Monitoring Based on VDS Algorithm
Joint Authors
Source
Journal of Healthcare Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In the nonmedical sputum monitoring system, a practical solution for phlegm stagnation care of patients was proposed.
Through the camera, the video images of patients’ laryngeal area were obtained in real time.
After processing and analysis on these video frame images, the throat movement area was found out.
A three-frame differential method was used to detect the throat moving targets.
Anomalies were identified according to the information of moving targets and the proposed algorithm.
Warning on the abnormal situation can help nursing personnel to deal with sputum blocking problem more effectively.
To monitor the patients’ situation in real time, this paper proposed a VDS algorithm, which extracted the speed characteristics of moving objects and combined with the DTW algorithm and SVM algorithm for sequence image classification.
Phlegm stagnation symptoms of patients were identified timely for further medical care.
In order to evaluate the effectiveness, our method was compared with the DTW, SVM, CTM, and HMM methods.
The experimental results showed that this method had a higher recognition rate and was more practical in a nonmedical monitoring system.
American Psychological Association (APA)
Gao, Zhiguo& Yu, Xin. 2020. A Phlegm Stagnation Monitoring Based on VDS Algorithm. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1186416
Modern Language Association (MLA)
Gao, Zhiguo& Yu, Xin. A Phlegm Stagnation Monitoring Based on VDS Algorithm. Journal of Healthcare Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1186416
American Medical Association (AMA)
Gao, Zhiguo& Yu, Xin. A Phlegm Stagnation Monitoring Based on VDS Algorithm. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1186416
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186416