Medical Signal Processing in Biomedical and Clinical Applications

Engineering & Materials Science

• Biomedical signal processing 100%
• Trace elements 64%
• Patient rehabilitation 40%
• Muscle 39%
• Wavelength 37%
• Comb filters 31%
• Photoplethysmography 30%
• Photodetectors 27%
• Biomarkers 26%
• Magnetic Resonance Imaging 24%
• Recurrent neural networks 22%
• Noise abatement 21%
• Deep neural networks 20%
• Electroencephalography 20%
• Blood 19%
• Chemical activation 19%
• Tissue 18%
• Entropy 17%
• Learning algorithms 17%
• Signal to noise ratio 17%
• Dynamic models 17%
• Support vector machines 17%
• Detectors 16%
• Feature extraction 16%
• Actuators 16%
• Health 15%
• Machine learning 15%
• Fluids 13%
• Neural networks 12%
• Monitoring 11%
• Temperature 8%

Medicine & Life Sciences

• Trace Elements 38%
• Human Body 31%
• Noise 29%
• Rehabilitation 24%
• Photoplethysmography 23%
• Comb and Wattles 23%
• Deltoid Muscle 22%
• Support Vector Machine 19%
• Entropy 19%
• Signal-To-Noise Ratio 18%
• Machine Learning 18%
• Formal Social Control 16%
• Action Potentials 14%
• Arm 14%
• Electroencephalography 13%
• Myocardium 13%
• Pathologic Constriction 12%
• Temperature 11%
• Light 11%
• Research Personnel 11%
• Magnetic Resonance Imaging 10%
• Biomarkers 10%
• Heart 10%
• Equipment and Supplies 9%
• Health 7%
• Pharmaceutical Preparations 6%