In-vitro Measurement of Glucose Concentration in Human Blood Plasma Mixed Intralipid Phantom Samples by Using Modulated Ultrasound and Infrared Light

Srivastava, Anuj; Chowdhury,; Sharma, Shiru; Sharma, Neeraj

doi:10.9734/bbj/2016/24861

Cited by 6 publications

(4 citation statements)

References 63 publications

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“…The system has shown accurate results which give a good indication for great potential of the technique. Other researchers conducted a study using a 940 nm infrared light and a 40 kHz central frequencydependent ultrasonic transmitter unit [44]. Human blood plasma mixed with Intralipid TM phantom samples was studied using modulated ultrasound and an infrared light-based technique to see how glucose-induced differences differed from those.…”

Section: Ultarsound Techniquementioning

confidence: 99%

Non-invasive sensing techniques for glucose detection: a review

et al. 2022

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Diabetes is becoming more prevalent over the world, with approximately 7.8 million new cases diagnosed each year. The most crucial aspect of diabetes therapy is frequent glucose monitoring; the one and only way diabetics can maintain healthy blood sugar standard is through diet and exercise. Blood glucose monitoring techniques have gone through massive transformations over the past few years. Non-invasive procedures outperform invasive and minimally invasive ones in terms of inconvenience, pain, and recovery time. Thus, this review aims to explore the latest tools for non-invasive glucose monitoring sensors and techniques. The study showed that non-invasive techniques such as optical and non-optical techniques are better than invasive techniques in terms of accuracy, reliability, repeatability, and ease of use. The study also uncovered that the photoacoustic spectroscopy and ultrasonic techniques have room for further development and advancement considering their flexible nature. The work also proved that the ultrasonic technique is the most promising approach, in conclusion.

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Section: Ultarsound Techniquementioning

confidence: 99%

Non-invasive sensing techniques for glucose detection: a review

et al. 2022

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“…Métodos sónicos como las emisiones fotoacústicas o ultrasonido modulado han mostrado resultados prometedores en pruebas In-vitro mediante una técnica combinada de ultrasonido e infrarrojo (Srivastava, Chowdhury, Sharma, & Sharma, 2013).…”

Section: Introductionunclassified

Implementación de un dispositivo electrónico no invasivo para la determinación del nivel de glucosa en Humanos

Moposita Saquinga,

Moposita Saquinga

2024

ESH

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En la actualidad existen dispositivos invasivos para realizar la toma de muestra de los niveles de glucosa en sangre, lo que ocasiona dolor e incomodidad en los pacientes; además, al realizar la punsación para la toma de muestra de sangre, compromete la higiene en dicho procedimiento. El dispositivo está basado en el diseño del receptor óptico, el cual contiene dos diodos IR los cuales funcionan como emisor y receptor, al atravesar la luz infrarroja emitida por el emisor, por el tejido humano se puede obtener la información de los niveles de glucosa que se encuentra en la sangre con un margen de error de ±10% en relación con los dispositivos invasivos. Los datos obtenidos por el dispositivo se muestran en una pantalla LCD, y se envían a una aplicación móvil donde se visualiza la información obtenida, también cuenta con un panel solar que sirve para aumentar el uso de batería del dispositivo, lo que lo hace independiente. Se realizó varias pruebas con el dispositivo diseñado al igual que con el glucómetro tradicional (Yuwell, modelo 710), para una correcta validación se utilizó a 24 pacientes entre jóvenes y adultos, entre ellos se encuentran personas sanas y otros que padecen diabetes; los resultados obtenidos nos demuestran que el dispositivo implementado tiene un error porcentual de 6.96%, frente al glucómetro invasivo. Según la norma ISO 15197:2015, el 95% de los valores medidos de glucosa deben estar comprendidos dentro de un rango de error de ±15 mg/dl respecto al promedio de las mediciones obtenidas con un procedimiento de referencia cuando se trate de concentraciones de glucosa en sangre inferiores a 100 mg/dl. Indicando que los datos obtenidos por el dispositivo implementado están dentro del rango de lo dispuesto por la norma. El diseño de un glucómetro no invasivo, el cual cuente con conexión inalámbrica facilitó la toma de muestra evitando que el paciente pase por estrés y ansiedad, lo que provoca que se dé un resultado erróneo en la muestra obtenida.

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“…Matti and Risto [6] used the PA technique to in vitro monitor the glucose concentration of pig blood under 532 and 1064 nm. Srivastava et al [7] used the modulated PA technique and frequency transform method to in vitro monitor the human blood and intralipid mixed solution. Pai et al [8] used dual‐wavelengths and Gaussian kernel regression algorithm to study the prediction model of glucose aqueous solution, hemoglobin and whole blood, the predicted root‐mean‐square error (RMSE) is 19.46 mg/dl.…”

Section: Introductionmentioning

confidence: 99%

Quantitative measurement of blood glucose influenced by multiple factors via photoacoustic technique combined with optimized wavelet neural networks

Ren

Liu

Xiong

et al. 2022

Journal of Biophotonics

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In this work, the photoacoustic (PA) quantitative measurement of blood glucose concentration (BGC) influenced by multiple factors was firstly investigated. A set of PA detection system of blood glucose considering the comprehensive influence of five factors was established. The PA signals and peak‐to‐peak values (PPVs) of 625 rabbit whole blood were obtained under 625 influence combinations. Due to the accurate measurement of BGC limited by the overlap PA signals, wavelet neural network (WNN) was utilized to train the PPVs of blood glucose for 500 rabbit blood. The mean square error (MSE) of BGC for 125 testing blood was approximately 6.5782 mmol/L. To decrease the MSE, the parameters of WNN were optimized by particle swarm optimization (PSO), that is, PSO‐WNN algorithm was employed. Under the optimal parameters, MSE of BGC was decreased to approximately 0.48005 mmol/L. To further improve the prediction accuracy of BGC, an improved nonlinear dynamic inertia weight (NDIW) strategy of PSO was proposed, and compared with other two kinds of dynamic inertia weight strategies. Under the optimal parameters, the MSE of BGC was decreased to approximately 0.2635 mmol/L. The comparison of nine algorithms demonstrate that the PA technique combined with PSO‐WNN and the improved NDIW strategy is significant in the quantitative measurement of blood glucose influenced by multiple factors.

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In-vitro Measurement of Glucose Concentration in Human Blood Plasma Mixed Intralipid Phantom Samples by Using Modulated Ultrasound and Infrared Light

Cited by 6 publications

References 63 publications

Non-invasive sensing techniques for glucose detection: a review

Non-invasive sensing techniques for glucose detection: a review

Implementación de un dispositivo electrónico no invasivo para la determinación del nivel de glucosa en Humanos

Quantitative measurement of blood glucose influenced by multiple factors via photoacoustic technique combined with optimized wavelet neural networks

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