Design and Development of Multi-modal Intelligent Anesthesia Monitoring System

Design and Development of Multi-modal Intelligent Anesthesia Monitoring System

This project integrates the characteristics of electroencephalo-graph（EEG）, cerebral oxygen, blood pressure, heart rate, etc., based on nonlinear theory and neural oscillation, large sample data and machine learning theory, to develop a multi-modal monitoring system suitable for domestic patients, taking into account changes in sedation, analgesia, cerebral hemodynamics and other factors, regardless of patient age and type of general anesthesia drugs.

Inclusion Criteria:

1. Age: 0-65 years old
2. ASA: Level I-III
3. Patients undergoing non cardiac surgery under general anesthesia
4. Informed consent of the patient or legal representative

Exclusion Criteria:

1. Previous history of severe neurological disorders
2. History of mental illness and related medication use
3. Individuals who are unable to cooperate in completing cognitive function tests
4. Severe hearing or visual impairment
5. Preoperative delirium in patients
6. Individuals who have experienced severe adverse reactions such as cardiac arrest and cardiopulmonary resuscitation during surgery
7. Those who require neurosurgery, head and facial surgery
8. Individuals who are allergic to EEG and fNIRS electrodes