A Generalized Net Model with Intuitionistic Fuzzy Assessments of the Process of Cardiopulmonary Resuscitation
- Publisher:
- Springer Nature
- Publication Type:
- Conference Proceeding
- Citation:
- Lecture Notes in Networks and Systems, 2022, 374 LNNS, pp. 100-112
- Issue Date:
- 2022-01-01
Closed Access
| Filename | Description | Size | |||
|---|---|---|---|---|---|
| A Generalized Net Model with Intuitionistic Fuzzy Assessments of the Process of Cardiopulmonary Resuscitation.pdf | Published version | 52.06 MB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
In the paper a Generalized Net (GN, [5, 6]) model of the Cardiopulmonary Resuscitation (CPR) process is presented. The CPR is a collection of diagnostic and therapeutic actions performed to restore suspended basic vital functions (respiration, cardiac activity, functions of the central nervous system) during cardiac arrest. The developed GN model is a set of transitions that present the sequence of actions of the CPR process with its three interconnected stages: basic life support - refers to maintaining an airway and supporting breathing and the circulation;advanced life support - restoring the spontaneous circulation, stabilization the condition of the patient, and starting the intensive treatment;prolonged life support - intensive treatment of the post-resuscitation syndrome. From the input places of the GN model enter tokens that present the initial status of the person who needs from CPR. The new and enriched knowledge about the process of cardiopulmonary resuscitation of the output of the model is obtained. In the research, intuitionistic fuzzy assessments 〈μ, ν〉 which estimate the execution time of the CPR process are suggested.
Please use this identifier to cite or link to this item: