Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model

Keyphrases

• Blood Pressure Measurement 100%
• Raw Signal 100%
• Hybrid Deep Learning 100%
• Cuffless Blood Pressure 100%
• Machine Learning 50%
• Feature Extraction 50%
• Signal Characteristics 50%
• Blood Pressure Estimation 50%
• Measurement Method 50%
• Signal Distortion 50%
• Diastolic BP 50%
• Extracting Features 50%
• Systolic BP 50%
• Physiological Measurement 50%
• Photoplethysmography 50%
• Conventional Blood Pressure 50%
• Learning with Errors Problem 50%
• Noise Distortion 50%
• Performance Requirements 50%
• Manual Operation 50%
• Mean Absolute Error 50%
• British Hypertension Society 50%
• Measurement Basis 50%
• Machine Learning Models 50%
• Hybrid Model 50%
• Systolic Blood Pressure 50%
• Deep Learning Model 50%
• Physical Characteristics 50%
• Diastolic Blood Pressure 50%
• Traditional Machine Learning 50%
• Cuffless 50%

Chemical Engineering

• Deep Learning 100%
• Learning System 66%
• Pressure Measurement 66%

Engineering

• Deep Learning 100%
• Feature Extraction 33%
• Hybrid Model 33%
• Performance Requirement 33%
• Mean Absolute Error 33%