Expert knowledge-based strategies for ventilator parameter setting and stepless adaptive adjustment.
10.7507/1001-5515.202209015
- Author:
Yongyan WANG
1
;
Songhua MA
1
;
Tianliang HU
1
;
Dedong MA
2
;
Xianhui LIAN
1
;
Shuai WANG
1
;
Jiguo ZHANG
1
Author Information
1. School of Mechanical Engineering, Shandong University, Jinan 250061, P. R. China.
2. Qilu Hospital of Shandong University, Jinan 250012, P. R. China.
- Publication Type:Journal Article
- Keywords:
Adaptive ventilation;
Parameter setting;
Stepless adjustment;
Ventilator
- MeSH:
Humans;
Ventilators, Mechanical;
Respiration, Artificial;
Neural Networks, Computer
- From:
Journal of Biomedical Engineering
2023;40(5):945-952
- CountryChina
- Language:Chinese
-
Abstract:
The setting and adjustment of ventilator parameters need to rely on a large amount of clinical data and rich experience. This paper explored the problem of difficult decision-making of ventilator parameters due to the time-varying and sudden changes of clinical patient's state, and proposed an expert knowledge-based strategies for ventilator parameter setting and stepless adaptive adjustment based on fuzzy control rule and neural network. Based on the method and the real-time physiological state of clinical patients, we generated a mechanical ventilation decision-making solution set with continuity and smoothness, and automatically provided explicit parameter adjustment suggestions to medical personnel. This method can solve the problems of low control precision and poor dynamic quality of the ventilator's stepwise adjustment, handle multi-input control decision problems more rationally, and improve ventilation comfort for patients.
