Implementation for Fetal ECG Detection from Multi-channel Abdominal Recordings with 2D Convolutional Neural Network

Keyphrases

• Spectrogram 100%
• Multi-channel 100%
• 2D Convolutional Neural Network 100%
• Abdominal 100%
• ECG Detection 100%
• Fetal ECG 100%
• Preprocessing Techniques 66%
• Neural Network 66%
• Convolutional Neural Network 66%
• Network Approach 66%
• Power Consumption 33%
• Wearable Devices 33%
• Short-time Fourier Transform 33%
• Prefetching 33%
• Detection Accuracy 33%
• FPGA Platform 33%
• Long Latency 33%
• Implementation Results 33%
• ECG Recording 33%
• Real-time Operation 33%
• Conventional Algorithm 33%
• Time Application 33%
• Classification Phase 33%
• Data Buffering 33%
• Ambulatory ECG 33%
• Deep Neural Network Classifier 33%

Engineering

• Multichannel 100%
• Convolutional Neural Network 100%
• Spectrogram 60%
• Preprocessing Phase 40%
• Electric Power Utilization 20%
• Field Programmable Gate Arrays 20%
• Wearable Sensor 20%
• Clock Cycle 20%
• Short-Time Fourier Transform 20%
• Computation Cycle 20%
• Phase Classification 20%
• Prefetch Mechanism 20%

Computer Science

• Convolutional Neural Network 100%
• Preprocessing Phase 40%
• Power Consumption 20%
• Wearable Device 20%
• Detection Accuracy 20%
• Computation Cycle 20%
• Clock Cycle 20%
• Multiple Channel 20%
• Conventional Algorithm 20%
• Real-Time Application 20%
• Time Fourier Transform 20%
• Prefetch 20%
• Computer Hardware 20%
• Field Programmable Gate Arrays 20%