Detection of Heartbeat Components Through Doppler Radar Systems Using Semantic Segmentation and Non-Harmonic Analysis

Keyphrases

• Breathing Rate 33%
• Conventional Analysis 33%
• COVID-19 33%
• Data Analysis Methods 33%
• Default Methods 33%
• Detection Accuracy 33%
• Detection Test 33%
• Doppler Radar 100%
• Driving Simulator 66%
• False Positive Rate 33%
• Frequency Analysis 33%
• Frequency Analysis Method 33%
• Harmonic Analysis 33%
• Heartbeat Detection 100%
• Inherent Noise 33%
• Long-term Monitoring 33%
• Low Noise 33%
• Machine Learning 66%
• Noisy Conditions 33%
• Non-contact 33%
• Non-harmonic Analysis 100%
• Process Signal 33%
• Pulse Rate 33%
• Radar Technology 33%
• Routine Analysis 33%
• Segmentation Analysis 100%
• Semantic Segmentation 100%
• Sidelobe 33%
• Sidelobe Interference 33%
• Simulated Conditions 33%
• Simulation Environment 33%
• Time-frequency Diagram 33%
• True Positive Rate 33%
• Vital Signs 66%
• Weak Signal 33%

Engineering

• Breathing 25%
• Detectability 25%
• Doppler Radar 100%
• Driving Simulation 50%
• Frequency Analysis 50%
• Harmonics 100%
• Learning System 50%
• Radar Systems 100%
• Sidelobes 50%
• Simulation Environment 25%
• Vital Sign 50%