标题
A machine learning-based on-demand sweat glucose reporting platform
作者
关键词
-
出版物
Scientific Reports
Volume 12, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-02-14
DOI
10.1038/s41598-022-06434-x
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Touch-Based Fingertip Blood-Free Reliable Glucose Monitoring: Personalized Data Processing for Predicting Blood Glucose Concentrations
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- Tracking metabolic responses based on macronutrient consumption: A comprehensive study to continuously monitor and quantify dual markers (cortisol and glucose) in human sweat using WATCH sensor
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- Mid-infrared metabolic imaging with vibrational probes
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- Machine learning algorithm validation with a limited sample size
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- Wearable non-invasive epidermal glucose sensors: A review
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- A Four-Channel Electrical Impedance Spectroscopy Module for Cortisol Biosensing in Sweat-Based Wearable Applications
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- Reduction of measurement noise in a continuous glucose monitor by coating the sensor with a zwitterionic polymer
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- Lancet-free and label-free diagnostics of glucose in sweat using Zinc Oxide based flexible bioelectronics
- (2017) Rujuta D. Munje et al. SENSORS AND ACTUATORS B-CHEMICAL
- A new paradigm in sweat based wearable diagnostics biosensors using Room Temperature Ionic Liquids (RTILs)
- (2017) Rujuta D. Munje et al. Scientific Reports
- Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
- (2016) Wei Gao et al. NATURE
- A graphene-based electrochemical device with thermoresponsive microneedles for diabetes monitoring and therapy
- (2016) Hyunjae Lee et al. Nature Nanotechnology
- Correlation Between Sweat Glucose and Blood Glucose in Subjects with Diabetes
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- Four grams of glucose
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