scholarly journals Detection of Blood Glucose Level in Humans using Non-Invasive Method-RL BGM

2020 ◽  
Vol 9 (1) ◽  
pp. 304-309
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Blood Sugar ◽  
Glucose Level ◽  
Fasting Blood Glucose ◽  
Glucose Monitoring ◽  
The Body ◽  
Blood Glucose Monitoring ◽  
Non Invasive ◽  
Invasive Method

Blood sugar in the body is called glucose and it is important that the amount of sugar in the blood is fairly maintained. The body has sugar and blood that is used to store energy in the body. Low or high blood sugar is dangerous to life if it is not treated. The fasting blood glucose level in the morning ranges between 70 mg/dL to 110 mg/dL, after the meal the blood glucose should be less than 140 mg/dL. This paper proposes a method that is best suited to detect blood glucose in the human body and avoid serious health issues by sending a message instantly to the respective number of the patient. Currently, in market Blood Glucose Monitoring (BGM) techniques are vigorous and painful as the blood sample is pricked from the finger that leads to the risk of infection, the strips that were being used were also costly. The solution to this problem statement is a design of non-invasive smart equipment for observing the blood glucose level. One non-invasive method is Red Laser (RL) BGM technique, that is very superior to the other invasive method and non-invasive techniques. Here the refractive index of the laser light is analyzed to determine the blood glucose level. Several tests and experimental results are generated to prove the proposed method is highly accurate.

PARAMETRIC AND NON-PARAMETRIC REGRESSION APPROACHES FOR NON-INVASIVE BLOOD GLUCOSE MONITORING

2020 ◽  
Vol 32 (06) ◽  
pp. 2050043
Author(s):  
Keshava N. Acharya ◽  
M. G. Yashwanth Gowda ◽  
M. Vijay ◽  
S. Deepthi ◽  
S. Malathi ◽  
...  
Keyword(s):  
Health Care ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Glucose Monitoring ◽  
Sensor Data ◽  
Blood Glucose Monitoring ◽  
Self Monitoring ◽  
Non Invasive ◽  
Non Parametric

Blood glucose monitoring systems (BGMSs) play a crucial role in health care applications. Invasive measurements are more accurate while non-invasive BGMS encourage self monitoring and reduce the cost of health care. Though multiple sensor data acquisition and suitable processing improve accuracy, self-monitoring becomes difficult in such non-invasive systems due to multiple signal acquisition. This paper investigates a non-invasive BGMS prototype that renders accurate measurements by statistically processing a single sensor data. The developed prototype is based on near-infrared (NIR) spectroscopy, which provides an electronic voltage that gets mapped to corresponding blood glucose level. This mapping is proposed using two different statistical regression approaches, parametric Bayesian Regression (BR) approach and the non-parametric Gaussian Process Regression (GPR) approach. Dataset is acquired from 33 subjects who visited Ramaiah Medical College Hospital, India. On each subject, voltage from the BGMS prototype and corresponding invasively obtained blood glucose level have been recorded. The BR and GPR approaches are trained with 75% of the data while the remaining 25% is used for testing. Test results show that BR approach renders root mean square error (RMSE) of 3.7[Formula: see text]mg/dL, while the mean absolute percentage error (MAPE) is around 2.5. The GPR with different radial basis function kernels revealed that a multiquadric kernel provides a lowest RMSE of 3.28[Formula: see text]mg/dL and lowest MAPE of 2.2, thus outperforming the parametric BR approach. Investigations also show that for a training data of less than 15 entries, BR renders better accuracy than the GPR approach.

scholarly journals SELF-MONITORING OF BLOOD GLUCOSE WITH A NON-INVASIVE METHOD USING NEAR INFRARED SENSOR

2020 ◽  
Vol 11 (2) ◽  
pp. 111-121
Author(s):  
Rinda Nur Hidayati ◽  
Nur Hasanah Ahniar ◽  
Gita Rindang Lestari ◽  
Atika Hendryani ◽  
Faris Al Hakim
Keyword(s):  
Blood Glucose ◽  
Glucose Level ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Self Monitoring ◽  
Glucose Levels ◽  
Non Invasive ◽  
Chronic Hyperglycemia ◽  
Invasive Method ◽  
Minimum System

Diabetes mellitus or commonly called diabetes is a worldwide epidemic caused by chronic hyperglycemia. Simplify the blood glucose monitoring and easy to use is an essential part of diabetes management. Currently, the use of blood glucose meters conventional in clinical practice needs sufficient reliability. Therefore, self-monitoring of blood glucose with a non-invasive method was presented. A non-invasive blood glucose monitoring device was initially for information on glucose level measurements. A non-invasive method to determine the level of glucose by applying the physical properties of the absorption of the laser sensor that can produce a voltage change at various glucose levels. In this paper, a glucose monitoring module was fabricated with dimensions of 25x27x15 cm which has a minimum system, sensor, and LCD as a display of glucose levels. A minimum system to control the output of data digital value using microcontroller Android nano v.3. Experimentally, testing this module is by comparing the glucose monitoring modules that have been made with a gold standard. The result showed that non-invasive glucose monitoring is the potential for glucose level measurement a sensitivity, resolution, and accuracy of 0.86 mg/dL, 0.01 mg/dL, and 98.96%, respectively. The purposed module of glucose level monitoring offered simple testing for the rapid measurement of glucose levels.

scholarly journals Hypoglycemic and antioxidative activities of ethanol seed extract of Hunteria umbellate (Hallier F.) on streptozotocin-induced diabetic rats

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Olubanke O. Ogunlana ◽  
Babatunde O. Adetuyi ◽  
Miracle Rotimi ◽  
lohor Esalomi ◽  
Alaba Adeyemi ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Fasting Blood Glucose ◽  
Diabetic Rats ◽  
Seed Extract ◽  
The Body ◽  
High Concentration ◽  
Group 5

Abstract Background Diabetes, a global cause of mortality in developing countries is a chronic disorder affecting the metabolism of macromolecules and has been attributed to the defective production and action of insulin characterized by persistent hyperglycemic properties. This global disorder harms organs of the body such as the liver, kidney and spleen. Medicinal plants such as Hunteria umbellate have been shown to possess hypoglycemic, antioxidative and anti-diabetic properties owing to the high concentration of active phytochemical constituents like flavonoids and alkaloids. The present study seeks to evaluate the hypoglycemic activities of ethanolic seed extract of Hunteria umbellate on streptozotocin-induced diabetes rats. Methods Thirty (30) female experimental rats were randomly divided into five groups with six rats per group and were administered streptozotocin (STZ) and Hunteria umbellate as follows. Group 1 served as control and was given only distilled water, group 2 rats were administered 60 mg/kg STZ; Group 3 was administered 60 mg/kg STZ and 100 mg/kg metformin; group 4 rats were administered 60 mg/kg STZ and 800 mg/kg Hunteria umbellate, group 5 rats 60 mg/kg STZ and 400 mg/kg Hunteria umbellate. The fasting blood glucose level of each rat was measured before sacrifice. Rats were then sacrificed 24 h after the last dose of treatment. Results The results showed that Hunteria umbellate significantly reversed STZ-induced increase in fasting blood glucose and increase in body and organs weight of rats. Hunteria umbellate significantly reversed STZ-induced decrease in antioxidant enzyme in liver, kidney and spleen of rats. Hunteria umbellate significantly reversed STZ-induced increase in oxidative stress markers in liver, kidney and spleen of rats. Conclusion Collectively, our results provide convincing information that inhibition of oxidative stress and regulation of blood glucose level are major mechanisms through which Hunteria umbellate protects against streptozotocin-induced diabketes rats.

scholarly journals Lactobacillus rhamnosus Reduces Blood Glucose Level through Downregulation of Gluconeogenesis Gene Expression in Streptozotocin-Induced Diabetic Rats

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Eko Farida ◽  
Lilis Nuraida ◽  
Puspo E. Giriwono ◽  
Betty S. L. Jenie
Keyword(s):  
Blood Glucose ◽  
Glucose Tolerance ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Fasting Blood Glucose ◽  
Lactobacillus Rhamnosus ◽  
Tolerance Test ◽  
Diabetic Rats ◽  
The Body ◽  
Oral Glucose

Some lactic acid bacteria (LAB) are observed to be potential probiotics with functional properties such as lowering fasting blood glucose (FBG), as a promising hyperglycemia management. This study investigated the ability and mechanism of Lactobacillus rhamnosus BSL and Lactobacillus rhamnosus R23 on lowering FBG in diabetic rats induced by streptozotocin (STZ). The rats were orally administered with L. rhamnosus BSL and L. rhamnosus R23 by giving 1 mL cell suspension (109 CFU/mL) daily for 30 days. The body weight (BW) was recorded once in three days, and FBG was recorded once in six days. An oral glucose tolerance test (OGTT) was measured 1 week after injection with STZ and before sacrifice. Fecal samples were collected on days 0, 15, and 30 for LAB population and identification, performed by PCR detecting 16S rRNA. Oral administration of L. rhamnosus BSL and L. rhamnosus R23 decreased FBG and improved glucose tolerance via downregulation of glucose-6-phosphatase (G6pc) expression by 0.57- and 0.60-fold change, respectively (P<0.05). The lipid profiles, BUN, creatinine, SGOT, and SGPT were significantly (P<0.05) different between normal and diabetic rats, but they were not significantly (P>0.05) different among diabetic rats. Both strains were effective in increasing fecal LAB population. Molecular identification of the isolated LAB from fecal sample indicated that they were able to survive and pass through the digestive tract. These results suggested that both strains have the ability to manage blood glucose level and become a promising agent to manage hyperglycemia and diabetes.

Design of Automatic Insulin Dosage Indicator for Diabetic Patients Using BMI

2020 ◽  
pp. 69-74
Author(s):  
Kanimozhi R ◽  
Saravanakumar S
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Blood Glucose Concentration ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Insulin Dosage ◽  
Diabetic Patients ◽  
Monitoring Methods ◽  
Invasive Techniques

Diabetes Mellitus is a serious and chronic health disease. It occurs in all age group of people, especially in adults and aged persons. It is important to measure blood glucose level frequently for the diabetes affected persons which in need to determine the appropriate insulin dosage. Along with this, the continuous glucose monitoring is vital to know whether the glucose level is in normal range. The conventional method used to measure the glucose level in blood is invasive which is infectious and a painful process. Nowadays, the non-invasive blood glucose monitoring methods are widely used. In this work, the blood glucose level is measured non-invasively using IR sensor. Besides that, the indication of insulin dosage to be taken is done by determining blood glucose concentration (non- invasively) and comparing it with Body Mass Index (BMI) of the patient. The implementation is based on the variations in the intensity of the IR LED, BMI and blood density. Themethod ismore reliable than the invasive techniques.

Design and Validation of a Low-Cost Non-Invasive Device to Detect Overnight Hypoglycemia

2018 ◽  
Author(s):  
Jonathan Lesko ◽  
Stephen Seibert ◽  
Yong Zhu
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Electrodermal Activity ◽  
Low Cost ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Life Threatening ◽  
Invasive Device ◽  
The Individual

Research in the field of blood glucose monitoring systems has led to incredible advancements over the past several decades. The blood glucose level of a diabetic patient is vital to monitor since large swings in blood sugar can cause life threatening damage to the individual. The importance of blood glucose monitoring increases when a patient experiences hypoglycemia, which can be very dangerous. The objective of this project is to create a low cost portable device that utilizes the modular bio-signal sensor kit BITalino and Arduino Uno microcontroller to measure and process the electrodermal activity (EDA) and electrocardiography (ECG) signals that can be associated with a drop in the subject’s blood glucose level to detect hypoglycemia in diabetics.

scholarly journals A Non-Invasive Method for Spectroscopic Blood Glucose Monitoring

2019 ◽  
Vol 11 (2) ◽  
pp. 110 ◽  
Author(s):  
V.V. Shapovalov ◽  
S.Y. Dudnikov ◽  
I.G. Zagorsky ◽  
B.S. Gurevich
Keyword(s):  
Blood Glucose ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Non Invasive ◽  
Invasive Method

scholarly journals Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 638
Author(s):  
Hima Zafar ◽  
Asma Channa ◽  
Varun Jeoti ◽  
Goran M. Stojanović
Keyword(s):  
Blood Glucose ◽  
Continuous Glucose Monitoring ◽  
Wearable Sensors ◽  
Glucose Monitoring ◽  
Small Sample ◽  
The Body ◽  
Detection Sensitivity ◽  
Blood Glucose Monitoring ◽  
Detection Methods ◽  
Non Invasive

The incidence of diabetes is increasing at an alarming rate, and regular glucose monitoring is critical in order to manage diabetes. Currently, glucose in the body is measured by an invasive method of blood sugar testing. Blood glucose (BG) monitoring devices measure the amount of sugar in a small sample of blood, usually drawn from pricking the fingertip, and placed on a disposable test strip. Therefore, there is a need for non-invasive continuous glucose monitoring, which is possible using a sweat sensor-based approach. As sweat sensors have garnered much interest in recent years, this study attempts to summarize recent developments in non-invasive continuous glucose monitoring using sweat sensors based on different approaches with an emphasis on the devices that can potentially be integrated into a wearable platform. Numerous research entities have been developing wearable sensors for continuous blood glucose monitoring, however, there are no commercially viable, non-invasive glucose monitors on the market at the moment. This review article provides the state-of-the-art in sweat glucose monitoring, particularly keeping in sight the prospect of its commercialization. The challenges relating to sweat collection, sweat sample degradation, person to person sweat amount variation, various detection methods, and their glucose detection sensitivity, and also the commercial viability are thoroughly covered.

scholarly journals A Simple Medical Record System of Non-Invasive Blood Glucose Level Measurement Results for Diabetes Care Using Graphical User Interface (GUI) MATLAB

2021 ◽  
Vol 3 (3) ◽  
pp. 99-107
Author(s):  
Nur Hasanah Ahniar
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Medical Record ◽  
Glucose Level ◽  
Glucose Monitoring ◽  
Record System ◽  
Glucose Levels ◽  
Non Invasive ◽  
Blood Glucose Levels ◽  
Measurement Results

We present a medical records system and reminders to patients of the measurement results of non-invasive blood glucose levels. Measuring blood glucose levels is vital in avoiding potential adverse health effects like diabetes. Diabetes is a chronic metabolic disorder caused by a decrease in the pancreas to produce insulin. Generally, measuring blood glucose levels using the conventional method is injure the patient's finger. Currently, the non-invasive method was famous as one of the detections of blood glucose by applying the physical properties of laser absorption. In this paper, we use the photodiode as a detector, the LED as a sensor, and a signal conditioning circuit. The results showed that non-invasive glucose monitoring has the potential to measure glucose levels with sensitivity and linearity of 3.21 mg/dL and 98%, respectively. As a result of measuring the blood glucose levels of the subject was displayed on the LCD module was designed. We designed a simple application and medical record using Blynk applications and GUI MATLAB for recording the measurement results of blood glucose level. In the future, applications that have been developed can be used by doctors for monitoring the measurement of the blood glucose level and provide information to patients by mobile applications, sending an email or message the measurement results, the decision of a disease or not, and reminds the re-measurement time.

scholarly journals MO651DIABETES CARE IN HAEMODIALYSIS TREATMENT : ADVANCES IN 2020

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Clementine Dillmann ◽  
Clemence Tollard ◽  
Yoann-Francois Chantrel ◽  
Hanane Mountassir ◽  
Sophie Brokhes-Lecalvez ◽  
...  
Keyword(s):  
Blood Glucose ◽  
High Risk ◽  
Glycemic Control ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Diabetic Patients ◽  
Dialysis Unit ◽  
Foot Injury

Abstract Background and Aims Management of diabetes and follow-up of haemodialysis patients are still poorly standardized. The objective of this study is to establish a descriptive inventory of all routine parameters for monitoring diabetes and glycemic control by Continuous Glucose Monitoring (CGM). Method The study recruited 32 diabetic patients in a medical dialysis unit. Glycemic control was assessed using CGM (FreeStyle Free Pro®) over at least 11 days with measurement of: mean blood glucose level, percentage of blood glucose level: &lt; 70 mg/dl (TBR), between 70 and 180 mg/dl (TIR), and &gt; 180 mg/dl (TAR). The results are expressed in average or median [25-75 percentiles]. SPSS® statistical analyses compared extra and per dialytic periods. Results Patients’ mean age was 71±8 years, diabetes duration was 21±6.5 years (87.5% T2DM), mean weight was 77±13kg, HbA1c was 7±0.98%, 98% had a high risk of foot injury (Grade 2 and 3) . Only 46.8% of the patients were followed by a diabetes specialist and 84.3% were treated with insulin and 18.75% received oral medication while only 50% performed self blood glucose-monitoring. The average blood glucose level was 133±13 mg/dl (∼1000 measurements). CGM results for 32 patients over the total period were: TIR at 70% [58-76], TAR at 15% [4.6-29], and TBR at 9.6% [3.7-20].Per-dialytic TIR (84%; [76-93]) was significantly higher (p=0.02) than extra-dialytic TIR (68%; [56-75]). Per-dialytic TAR (5.5%; [0.0-10.7]) was significantly lower (p&lt;0.01) than extra-dialytic TAR (14%; [3.6-29]). TBR did not vary significantly. Conclusion The majority of patients were treated with insulin but only 50% performed self- of blood glucose. Hypoglycaemia was lower during dialysis period. 98% of patients had a high risk of foot injury. CGM could be a usefull tool for the evaluation of glycemic profile of haemodialysis patients, and allows a better adjustment of their treatment.

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