Gastritis
Conditions
Keywords
Deep Sedation, Machine learning, EEG characheristics;, Painless gastroscopy
Brief summary
Painless endoscopy technology can make patients comfortable under anesthesia, but because of the painless inside.The diagnosis and treatment time of endoscopic examination is short, and the transport is fast. Anesthesia related wind such as deep breathing depression and hypoxemia will occurRisks.Eeg depth monitoring can assist anesthesiologists to evaluate the depth of anesthesia and reduce the risk. Artificial intelligence is adopted.There are few reports on the evaluation of anesthesia depth and drug dosage by electroencephalogram (EEG) monitoring in outpatient patients with painless gastroenteroscopy.
Detailed description
1.examination, and establish brainClassification model of electrogram and sedation depth;2. The EEG characteristics, basic information and propofol were administered to all patients.The dose model of propofol painless gastroenteroscopy was established by machine learning to guide anesthesia Drug use;3. Evaluate the time and space complexity of the model, build the model, and assist the anesthesiologist to individualize the patient Chemical, safe and comfortable management.
Interventions
And pump propofol at a rate of 600ml/h. The degree of sedation was assessed by the MOAA/S scale until the depth sadation of the patient during the monitor of EEG
And pump propofol at a rate of 600ml/h. The degree of sedation was assessed by the MOAA/S scale until the depth sadation of the patient during the monitor of EEG
Sponsors
Study design
Eligibility
Inclusion criteria
1. Painless gastroenteroscopy patients 2. ASA classification is Ⅰ-Ⅱ 3. Patients who are willing to cooperate 4. No schizophrenia,epilepsy and other neurological diseases
Exclusion criteria
1. allergic to propofol 2. Patients who are unwilling to cooperate 3. Patients with psychiatric disorders 4. Patients using sedative drugs for a long time 5. Patients with neuropsychiatric disorders 6. Patients with severe heart, liver, kidney and respiratory diseases
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Electroencephalogram features | during gastroenteroscopy procedure | Time feature;frequency feature;Entropy |
| Propofol dosage | during gastroenteroscopy procedure | from awake to sedation in painless gastroenteroscopy |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| physiological parameter(oxygen saturation ) | during gastroenteroscopy procedure | from awake to sedation in painless gastroenteroscopy with ECG monitor |
| time parameter (Arousal times) | during endoscopy | with monitor and Anesthesiologist's record |
| success rate of once endoscopy | during endoscopy | with monitor and Anesthesiologist's record |
| physiological parameter(blood pressure ) | during gastroenteroscopy procedure | from awake to sedation in painless gastroenteroscopy with ECG monitor |
| Endoscopist satisfaction by questionnaire | during endoscopy | with monitor and Anesthesiologist's record |
| vasoactive drugs | during endoscopy | with monitor and Anesthesiologist's record |
| Incidence of hypoxemia | during endoscopy | with monitor and Anesthesiologist's record |
| physiological parameter(heart rate ) | during gastroenteroscopy procedure | from awake to sedation in painless gastroenteroscopy with ECG monitor |
Countries
China