A 65nm Implantable Gesture Classification SoC for Rehabilitation with Enhanced Data Compression and Encoding for Robust Neural Network Operation Under Wireless Power Condition

Keyphrases

• Activity Detection 20%
• Adaptive Power Control 20%
• AI Techniques 20%
• Amputee 20%
• Backscatter 20%
• Bit Error 20%
• Bit Error Rate 20%
• Computing Power 20%
• Data Compression 100%
• Data Encoding 100%
• Embedded Classifier 20%
• Embedded Neural Networks 20%
• Encoding Strategy 20%
• Enhanced Data 100%
• External Device 40%
• Fully Integrated 40%
• Gesture Classification 100%
• High Bits 20%
• High Power 20%
• Huffman Coding 20%
• Implantable Devices 40%
• Implantable Systems 20%
• Inductive Link 20%
• Integrated Solutions 20%
• Latency 20%
• Low Latency 20%
• Low Noise 20%
• Low-rank 20%
• Lower Error Rates 20%
• Near-infrared 20%
• Network Operation 100%
• Neural Network Adaptive 20%
• Neural Network Classifier 60%
• Neural Network Computation 20%
• Neural Network Weights 20%
• Neural Recorder 20%
• Neural Recording 20%
• Neural Signals 40%
• Noisy Conditions 20%
• On-chip Coil 20%
• Optical Light 20%
• Order of Magnitude 20%
• Power Condition 100%
• Power Efficiency 20%
• Power Posing 20%
• Prosthetic Control 20%
• Prosthetic Devices 20%
• Recoding 20%
• RF Coil 20%
• Robust Neural Networks 100%
• Signal Quality 20%
• Significant Benefit 20%
• Singular Value Decomposition 20%
• Skin Irritation 20%
• Ultrasound 20%
• Wireless Power 100%

Engineering

• Artificial Intelligence 33%
• Bit Error 33%
• Bit Error Rate 33%
• Data Volume 33%
• Error Rate 33%
• Medical Implant 66%
• Millisecond 33%
• Neural Network Weight 33%
• Power Control 33%
• Prosthetics 66%
• Signal Quality 33%
• Singular Value Decomposition 33%
• System-on-Chip 100%

Computer Science

• Artificial Intelligence 16%
• Data Compression 100%
• Huffman Coding 16%
• Inductive Link 16%
• Integrated Solution 16%
• Network Operation 100%
• Neural Network 100%
• Noisy Condition 16%
• Power Efficiency 16%
• Singular Value 16%
• System-on-Chip 100%