Using ECG signals for hypotensive episode prediction in trauma patients

Keyphrases

• Trauma Patients 100%
• ECG Signal 100%
• Episode Prediction 100%
• Vital Signs 80%
• Feature Extracting 80%
• Window Segmentation 80%
• ECG Features 40%
• Blood Pressure 20%
• Early Identification 20%
• Intensive Care Unit 20%
• Encoder 20%
• Heart Rate 20%
• Leading Causes of Death 20%
• Patient Data 20%
• Bleeding 20%
• Most Common Cause 20%
• Prediction Algorithms 20%
• Military 20%
• Success Rate 20%
• State-of-the-art Techniques 20%
• Hemorrhagic Shock 20%
• Multiple Organ Failure 20%
• Clinical Evaluation 20%
• Transformer 20%
• Predictive Features 20%
• Pressure Rate 20%
• ECG Data 20%
• Original Model 20%
• Preventable Death 20%
• Early Detection System 20%
• Internal Bleeding 20%
• Electrocardiogram Signal 20%
• Feature Group 20%
• Transformer Model 20%
• MIMIC-III Database 20%
• Convolutional Autoencoder 20%
• Shock Failure 20%
• Feature Importance Analysis 20%
• Segmentation Prediction 20%
• Segmentation Model 20%

Medicine and Dentistry

• Injury 100%
• Electrocardiogram 100%
• Vital Sign 33%
• Blood Pressure 8%
• Clinical Trial 8%
• Intensive Care Unit 8%
• Patient-Data 8%
• Bleeding 8%
• Multiple Organ Dysfunction Syndrome 8%
• Hemorrhagic Shock 8%

Computer Science

• Extracted Feature 100%
• Detection Method 25%
• Early Detection 25%
• Convolutional Auto-Encoder 25%
• Segmentation Model 25%