Random Forest Analysis of Combined Millimeter-Wave and Near-Infrared Sensing for Noninvasive Glucose Detection-Reference-Cited by-同舟云学术

Random Forest Analysis of Combined Millimeter-Wave and Near-Infrared Sensing for Noninvasive Glucose Detection

Published:2023-09-01 Issue:17 Volume:23 Page:20294-20309
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Sun Yuyang¹^ORCID,Cano-Garcia Helena²,Kallos Efthymios²^ORCID,O’Brien Fergus²,Akintonde Adeyemi²,Motei Diana-Elena³^ORCID,Ancu Oana³^ORCID,Mackenzie Richard William Alexander³,Kosmas Panagiotis¹^ORCID

Affiliation:

1. Department of Engineering, Faculty of Natural and Mathematical Sciences, King’s College London, London, U.K.

2. Medical Wireless Sensing Ltd., London, U.K.

3. School of Life and Health Sciences, Whitelands College, University of Roehampton, London, U.K.

Funder

Innovate UK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10235271/10181112.pdf?arnumber=10181112

Reference79 articles.

1. PPG-Based Smart Wearable Device With Energy-Efficient Computing for Mobile Health-Care Applications

2. THE EFFECT OF EXTERNAL PRESSURE ON THE VASCULAR VOLUME OF THE FOREARM AND ITS RELATION TO CAPILLARY BLOOD PRESSURE AND VENOUS PRESSURE

3. Video Based Cocktail Causal Container for Blood Pressure Classification and Blood Glucose Prediction

4. Skin temperature: its role in thermoregulation

5. Statistical and spectral analysis of ECG signal towards achieving non-invasive blood glucose monitoring

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