A study on non‐invasive detection of blood glucose concentration from human palm perspiration by using artificial neural networks

Saraoğlu, Hamdi Melih; Koçan, Mehmet

doi:10.1111/j.1468-0394.2010.00523.x

Cited by 14 publications

(6 citation statements)

References 29 publications

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“…A comparison of glucose measurements obtained in sweat and in blood showed a relative error ranging between 2.90%−15.81% and 5.13%−16.25%. These relative errors were established for blood glucose measurements from human palm perspiration [147]. Gao et al pioneered another example of a fully integrated flexible sensor array platform (FISA) for in situ sweat analysis, able to measure multiple sweat metabolites (glucose and lactate) and electrolytes (sodium and potassium), as well as skin temperature in a wearable patch-type platform (patch) [148].…”

Section: Glucose Monitoring In Sweatmentioning

confidence: 99%

See 1 more Smart Citation

Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices

Pullano¹,

Greco²,

Bianco³

et al. 2022

Theranostics

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The demand of glucose monitoring devices and even of updated guidelines for the management of diabetic patients is dramatically increasing due to the progressive rise in the prevalence of diabetes mellitus and the need to prevent its complications. Even though the introduction of the first glucose sensor occurred decades ago, important advances both from the technological and clinical point of view have contributed to a substantial improvement in quality healthcare. This review aims to bring together purely technological and clinical aspects of interest in the field of glucose devices by proposing a roadmap in glucose monitoring and management of patients with diabetes. Also, it prospects other biological fluids to be examined as further options in diabetes care, and suggests, throughout the technology innovation process, future directions to improve the follow-up, treatment, and clinical outcomes of patients.

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Section: Glucose Monitoring In Sweatmentioning

confidence: 99%

“…However, the requirement to sweat whenever a measurement is to be made may be inconvenient or impractical for many potential users [151]. Table 6 provides a non-exhaustive summarization above the reported technologies [18,147,148,152].…”

Section: Glucose Monitoring In Sweatmentioning

confidence: 99%

Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices

Pullano¹,

Greco²,

Bianco³

et al. 2022

Theranostics

View full text Add to dashboard Cite

show abstract

“…Wearable sweat-based continuous glucose monitoring biosensors include non-or Enzyme-based electrochemical technique, Optical fiber long-period grating (LPG) and Electrochemically enhanced iontophoresis integrated with a feedback transdermal drug delivery module are under development. [27][28][29][35][36][37][38]…”

Section: Urinementioning

confidence: 99%

Review of Emerging Approaches in Non- or Minimally Invasive Glucose Monitoring and their Application to Physiological Human Body Fluids

Jang¹

2018

IJBSBE

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The frequent blood glucose monitoring by the diabetics and physicians is a very essential step in the management of the diabetes because this devastating disease can lead the patients to blindness, kidney disease, nervous & circulatory system disease, limb amputations, stroke and cardiovascular disease (CVD). There have been numerous attempts to develop viable painless non-or minimally invasive blood glucose monitoring techniques over the last five decades in order to replace all existing methods of home blood glucose monitoring require drawing a blood sample by piercing the skin. This review describes the principles of two main emerging general technologies such as optical and electrochemical glucose monitoring methods, which represent 12 specific techniques applying multivariate regression analyses converting feeble optical or electrochemical signal to glucose concentration. This review article also deals with advances utilizing integration of glucose sensing techniques into targeting areas by sampling potential alternative physiological human body fluids to blood such as interstitial fluid, urine, sweat, ocular fluids and saliva contain traces of blood glucose.

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“…Compared to all non-invasive diagnostic techniques, sweat is the easiest to get access to for sampling, as sweat is readily available in human beings [ 47 ]. Recent studies suggest that it is possible to propose a system based on the glucose concentration in sweat to detect blood glucose levels [ 48 ].…”

Section: Sweat-based Diagnosticsmentioning

confidence: 99%

“…Saraoglu et al . [ 47 ] used relative variation humidity sensors on 200 subjects and, with the help of an artificial neural network (ANN) architecture, demonstrated a correlation between the glucose concentration value and human palm perspiration. Micro/nano skin systems [ 57 ] based on soft-MEMS technologies [ 58 ] and nano-structures [ 59 ] combined with advanced algorithms can thus be used to measure glucose levels from palm perspiration measurements.…”

Section: Sweat-based Diagnosticsmentioning

confidence: 99%

Trends in Nanomaterial-Based Non-Invasive Diabetes Sensing Technologies

Makaram¹,

2014

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Blood glucose monitoring is considered the gold standard for diabetes diagnostics and self-monitoring. However, the underlying process is invasive and highly uncomfortable for patients. Furthermore, the process must be completed several times a day to successfully manage the disease, which greatly contributes to the massive need for non-invasive monitoring options. Human serums, such as saliva, sweat, breath, urine and tears, contain traces of glucose and are easily accessible. Therefore, they allow minimal to non-invasive glucose monitoring, making them attractive alternatives to blood measurements. Numerous developments regarding noninvasive glucose detection techniques have taken place over the years, but recently, they have gained recognition as viable alternatives, due to the advent of nanotechnology-based sensors. Such sensors are optimal for testing the amount of glucose in serums other than blood thanks to their enhanced sensitivity and selectivity ranges, in addition to their size and compatibility with electronic circuitry. These nanotechnology approaches are rapidly evolving, and new techniques are constantly emerging. Hence, this manuscript aims to review current and future nanomaterial-based technologies utilizing saliva, sweat, breath and tears as a diagnostic medium for diabetes monitoring.

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A study on non‐invasive detection of blood glucose concentration from human palm perspiration by using artificial neural networks

Cited by 14 publications

References 29 publications

Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices

Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices

Review of Emerging Approaches in Non- or Minimally Invasive Glucose Monitoring and their Application to Physiological Human Body Fluids

Trends in Nanomaterial-Based Non-Invasive Diabetes Sensing Technologies

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