Using the best linear approximation as a first step to a new non-invasive glucose measurement

Olarte, Oscar; Moer, Wendy Van; Barbé, Kurt; Verguts, Sven; Ingelgem, Yves Van; Hubin, Annick

doi:10.1109/i2mtc.2012.6229674

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…The measured glucose concentrations are compared to the obtained glucose concentration values [190]. The CEG analysis has been regarded as the most accurate measuring method for evaluating the performance of any equipment [191]. The process flow is explored in Fig.…”

Section: B Model Validation Metricsmentioning

confidence: 99%

Non-Invasive Glucose Measurement Technologies: Recent Advancements and Future Challenges

Jain,

Joshi,

Mohanty

et al. 2024

IEEE Access

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Diabetes is a long-term condition in which a person's body cannot break down blood sugar adequately due to a shortage of insulin. The most crucial element of health care is continuously monitoring blood glucose (BG) levels. The main concern of effective glucose monitoring equipment is based on the blood-pricking technique. However, this may not be suggested for frequent glucose measurement. The paper presents various glucose-measuring technologies. The research discusses various non-invasive glucose measurement techniques and their management using advanced medical technologies. The configuration of the precise measuring device is essential to meet the blood glucose monitoring requirements that are not invasive systems. Non-invasive glucose monitoring devices solve the issue of frequently pricking patients for blood samples for clinical tests. For the goal of continuous health monitoring, a Smart Healthcare framework would be built on the Internet-of-Medical-Things (IoMT) and a Healthcare Cyber-Physical System (H-CPS) to estimate blood glucose. The study also discusses a few consumer devices and cutting-edge methods for measuring glucose. The paper also outlines the several difficulties and open challenges with glucose prediction.

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Section: B Model Validation Metricsmentioning

confidence: 99%

Non-Invasive Glucose Measurement Technologies: Recent Advancements and Future Challenges

Jain,

Joshi,

Mohanty

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The obtained glucose concentration values are used to compare with conventionally measured glucose concentrations [183]. The Clarke error grid analysis has been considered maximum measurement for analysis which is used to check the performance of any device for accuracy measurement [184]. The process flow is represented in Fig.…”

Section: B Metrics For Model Validationmentioning

confidence: 99%

Everything You Wanted to Know About Noninvasive Glucose Measurement and Control

Jain,

Joshi,

Mohanty

2021

Preprint

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Diabetes is a chronicle disease where the body of a human is irregular to dissolve the blood glucose properly. The diabetes is due to lack of insulin in human body. The continuous monitoring of blood glucose is main important aspect for health care. Most of the successful glucose monitoring devices is based on methodology of pricking of blood from ear lobe or finger. There is requirement to develop the Internet-Medical-Things (IoMT) integrated Healthcare Cyber-Physical System (H-CPS) based Smart Healthcare framework for glucose measurement with purpose of continuous health monitoring. To fulfill the imperatives for non-invasive blood glucose monitoring system, there is a need to configure an accurate measurement device. Noninvasive glucose-level monitoring device for clinical test overcomes the problem of frequent pricking for blood samples.

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Fractional frequency domain identification of NaCl–glucose solutions at physiological levels

et al. 2014

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Using the best linear approximation as a first step to a new non-invasive glucose measurement

Cited by 7 publications

References 20 publications

Non-Invasive Glucose Measurement Technologies: Recent Advancements and Future Challenges

Non-Invasive Glucose Measurement Technologies: Recent Advancements and Future Challenges

Everything You Wanted to Know About Noninvasive Glucose Measurement and Control

Fractional frequency domain identification of NaCl–glucose solutions at physiological levels

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