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- Computing and Processing
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- Fields, Waves and Electromagnetics
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Helena Cano-Garcia
Also published under:H. Cano-García
Affiliation
Medical Wireless Sensing Ltd., London, U.K.
Meta Materials Inc., London, U.K.
Meta Materials Inc., London, U.K.
Topic
Vector Network Analyzer,Glucose Solution,Reflection Coefficient,3D Printing,Absorption Effects,Biomedical Sensors,Blood Glucose,Blood Glucose Readings,Blood Glucose Values,Changes In Glucose,Changes In Transmission,Circular Hole,Continuous Glucose Monitoring,Data Frame,Deionized Water,Direct Transmission,Earlobe,Edge Of Tissue,Electric Field Distribution,Electromagnetic Wave,Experimental Prototype,Feature Matrix,Field Of View,First Set Of Experiments,Food Quality Assessment,Frequency Range,GHz Frequency Range,Glucose Detection,Glucose Monitoring,Glucose Sensing System,Glucose Tolerance Test,Glucose Values,Healthy Subjects,Horn Antenna,Image Regions,Imaging Results,Impact Of Signaling,Increasing Food Demand,Index Finger,Intravenous Glucose Tolerance Test,Limited View,Lower Quadrant,Machine Learning Models,Machine Learning Models For Prediction,Magnetic Resonance Imaging,Measurement Setup,Microwave Imaging,Minimally Invasive,Mixed Dataset,Multi-sensor System,
Biography
Helena Cano-Garcia received the Ph.D. degree in electronic engineering from King’s College London, London, U.K., in 2019.
Currently serving as the Manager of biomedical engineering and data sciences at Meta Materials Inc. (META), London, she is a dedicated professional with a passion for cutting-edge research. Her primary focus lies in the fields of biomedical sensing, noninvasive glucose monitoring, metamaterials, electromagnetic simulations, signal processing, and artificial intelligence. With her expertise and academic background, she actively contributes to advancing scientific knowledge and developing innovative technologies in these fields.
Currently serving as the Manager of biomedical engineering and data sciences at Meta Materials Inc. (META), London, she is a dedicated professional with a passion for cutting-edge research. Her primary focus lies in the fields of biomedical sensing, noninvasive glucose monitoring, metamaterials, electromagnetic simulations, signal processing, and artificial intelligence. With her expertise and academic background, she actively contributes to advancing scientific knowledge and developing innovative technologies in these fields.