scholarly journals Non-Invasive Glucose Monitoring And ECG Detection using Red Tacton

2021 ◽  
pp. 254-257
Author(s):  
Dr. D. Sungeetha ◽  
P. Pooja ◽  
R. Subhasshini
Keyword(s):  
Diabetes Mellitus ◽  
Research Work ◽  
Glucose Monitoring ◽  
Acute Hospital ◽  
The Body ◽  
Physician Visits ◽  
Non Invasive ◽  
Medical Sensors ◽  
Bed Days ◽  
Minimal Effort

Diabetes mellitus claims many lives each year. It influences the body in different ways by prompting numerous genuine sicknesses and untimely mortality. In addition to diabetes mellitus Cardiovascular disease causes death and disability and a primary cause of acute hospital bed days and physician visits. The aim of this research work is to mark an instantaneous noninvasive small, compact and minimal effort gadget to monitor glucose and to detect ECG signal with the help of the Bio-medical sensors which makes it totally versatile.

Glucose Calibration Modeling in Blood with Spline Regression Approaching to Non-Invasive Tools

2018 ◽  
pp. 144-149
Author(s):  
Ria Hayatun Nur ◽  
Indahwati A ◽  
Erfiani A
Keyword(s):  
Diabetes Mellitus ◽  
Linear Regression ◽  
Good Health ◽  
Cubic Spline ◽  
The Body ◽  
Spline Regression ◽  
Linear Quadratic ◽  
Important Thing ◽  
Non Invasive

In this globalization era, health is the most important thing to be able to run various activities. Without good health, this will hinder many activities. Diabetes mellitus is one of the diseases caused by unhealty lifestyle.There are many treatments that can be done to prevent the occurrence of diabetes. The treatments are giving the insulin and also checking the glucose rate to the patients.Checking the glucose rate needs the tools which is safety to the body. This research want to develop non invasive tool which is safety and do not injure the patient. The purpose of this research is also finding the best model which derived from Linear, Quadratic, and Cubic Spline Regression. Some respondents were taking to get the glucose measuring by invasive and non invasive tools. It could be seen clearly that Spline Linear Regression was the best model than Quadratic and Cubic Spline Regression. It had 70% and 33.939 for R2 and RMSEP respectively.

scholarly journals Management of Patients with Diabetes Mellitus and COVID-19

Doctor Ru ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 11-20
Author(s):  
A.V. Andreeva ◽  
◽  
T.N. Markova ◽  
M.B. Antsiferov ◽  
◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Primary Objective ◽  
The Body ◽  
Blood Glucose Monitoring ◽  
The Novel ◽  
Antihyperglycemic Therapy ◽  
Coronavirus Infection ◽  
Novel Coronavirus

Objective of the Review: To systematise the information on the incidence of diabetes mellitus (DM) in patients who had the novel coronavirus infection; on the features of virus mechanism activation and pathological cascades in the body; on potential ways to control blood glucose during COVID-19. Key Points. During the novel coronavirus pandemic (COVID-19) associated with high death toll in all countries, specific groups of patients were identified, where the death rate was higher than the mean figures. These groups include DM patients. DM is associated with a high risk of severe coronavirus infection and is the second common comorbidity during COVID-19. DM, degree of its compensation and complications progression impact prognosis, coronavirus infection clinical course and survival. Therefore, effective teamwork of the healthcare professionals and patient is essential. The primary objective of coordination is creation of a clear algorithm of DM management during COVID-19: strict blood glucose monitoring and prompt intensification both of antihyperglycemic therapy and specific ethiopathogenetic management of COVID-19. Conclusion. DM patients require special attention and timely adequate assistance both in outpatient and inpatient settings. Long-term follow-up of DM patients after COVID-19 to minimise the risk of DM complications is also very important. Keywords: COVID-19, diabetes mellitus, novel coronavirus infection.

scholarly journals Evaluation of central neuropathy in type 2 diabetes mellitus: a case control study

2019 ◽  
Vol 7 (4) ◽  
pp. 1022
Author(s):  
R. Balakrishnan ◽  
K. Ramadoss ◽  
E. Prasanna Venkatesan
Keyword(s):  
Diabetes Mellitus ◽  
Nervous System ◽  
The Body ◽  
Pattern Reversal ◽  
P100 Latency ◽  
System Involvement ◽  
Non Invasive ◽  
Central Neuropathy ◽  
Visual Evoked

Background: Diabetes mellitus (DM) is a global pandemic affecting almost every organ in the body. Peripheral nervous system involvement in diabetes is well known but there are not many studies on central nervous system involvement. Visual evoked potential (VEP) is a sensitive, non-invasive test to detect central demyelination of optic nerve. The objective was to compare the visual evoked potentials in type-2 DM patients with that of healthy controls and to find out if any correlation is there with the duration and glycaemic control of the disease and to compare incidence of peripheral and central neuropathy in DM patients.Methods: Author included 50 DM patients and 50 age and sex matched controls. Patients with previous stroke, demyelination, diabetic retinopathy and other ophthalmological disorders were excluded. VEP was recorded using pattern reversal stimulation with EMG RMS MARK II machine and p100 latency was measured.Results: P100 latencies (ms) was significantly prolonged in diabetics with mean±SD of (111.24±5.28 ms) as compared to controls (101.30±1.66 ms) with p value <0.003. Also, there was significant correlation between duration of DM and P100 latency prolongation, but no significant correlation was present when compared with glycaemic control.Conclusions: Central neuropathy is very common in DM. It is related to duration of DM and not HbA1c unlike PNP which is related to both. Central neuropathy occurs even prior to development of retinopathy or PNP. Hence, VEP is a non-invasive and sensitive screening tool for early neurological involvement in DM.

scholarly journals Development of Measuring Device for Non-Invasive Blood Sugar Levels Using Photodiode Sensor

2020 ◽  
Vol 2 (2) ◽  
pp. 74-79
Author(s):  
Frendi Agung Dwi Saputra ◽  
Bedjo Utomo ◽  
Sumber Sumber ◽  
Mohammed Shahriar Arefin
Keyword(s):  
Diabetes Mellitus ◽  
Blood Sugar ◽  
International Diabetes Federation ◽  
The Body ◽  
Voltage Measurement ◽  
Measuring Device ◽  
Glucose Levels ◽  
Non Invasive ◽  
Sugar Levels ◽  
Measuring Tool

Diabetes mellitus is one of the deadliest diseases faced by Indonesian people. The number of sufferers of this disease in Indonesia is 10 million according to the International Diabetes Federation (IDF). Indonesia is included in five countries with the number of people with diabetes mellitus. This disease is caused by high levels of glucose in the blood. Patients are usually not controlled for sugar consumption in everyday life. For measuring blood sugar levels so far, the most widely used device is invasive, namely by injuring the patient's body. Techniques like this make people reluctant to take measurements of glucose levels in their blood routinely. Though it is recommended to take measurements regularly to be able to control the intake of nutrients in the body. The method used in this experiment is to design and build a blood sugar measuring device using a photodiode sensor. As well as collecting data on several patients related to blood to obtain patient data. Based on the results of the identification of the problems mentioned above, the authors make a non-invasive measuring tool entitled "Design of a Non-invasive Blood Sugar Measuring Instrument (TFT Display)". Results that have been obtained from this study are there are error values in the voltage measurement circuit voltage distribution with the calculation of the resistance value to get the voltage value. The error value obtained is 5%. The results of the linear regression value of 0.996.

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.

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 Continuous glucose monitoring during pregnancy in healthy mice

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Caroline Wuyts ◽  
Caroline Simoens ◽  
Silvia Pinto ◽  
Koenraad Philippaert ◽  
Rudi Vennekens
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
The Body ◽  
Complete Analysis ◽  
Glycaemic Variability ◽  
Metabolic Adaptations ◽  
Freely Moving

AbstractDuring pregnancy, metabolic adaptations occur to maintain the balance between maternal and foetal growth, including increased insulin secretion and decreased insulin sensitivity. When the body fails to adjust, gestational diabetes mellitus develops. To gain insight in the pregnancy-induced adaptations, we applied continuous glucose monitoring via telemetric transmitters. We show that continuous glucose monitoring in conscious, non-stressed, freely moving mice throughout the full pregnancy is feasible, accurate and safe. We show that healthy mice during a full pregnancy develop adaptations in glucose homeostasis reminiscent of those in pregnant women. Furthermore, continuous glucose monitoring allows the complete analysis of all aspects of glucose excursions associated with spontaneous feeding episodes, and the thorough analysis of glycaemic variability. In conclusion, continuous glucose monitoring allows a detailed description of the glycaemic status during pregnancy, which will help to unravel specific mechanisms for gestational diabetes mellitus.

scholarly journals Statistical and spectral analysis of ECG signal towards achieving non-invasive blood glucose monitoring

2019 ◽  
Vol 19 (S6) ◽  
Author(s):  
Igbe Tobore ◽  
Jingzhen Li ◽  
Abhishek Kandwal ◽  
Liu Yuhang ◽  
Zedong Nie ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Blood Glucose ◽  
Glucose Solution ◽  
Glucose Monitoring ◽  
The Body ◽  
Blood Glucose Monitoring ◽  
Oral Glucose ◽  
Ecg Signal ◽  
Non Invasive ◽  
St Segments

Abstract Background Globally, the cases of diabetes mellitus (diabetes) have increased in the past three decades, and it is recorded as one of the leading cause of death. This epidemic is a metabolic condition where the body cannot regulate blood glucose, thereby leading to abnormally high blood sugar. Genetic condition plays a significant role to determine a person susceptibility to the condition, a sedentary lifestyle and an unhealthy diet are behaviour that supports the current global epidemic. The complication that arises from diabetes includes loss of vision, peripheral neuropathy, cardiovascular complications and so on. Victims of this condition require constant monitoring of blood glucose which is done by the pricking of the finger. This procedure is painful, inconvenient and can lead to disease infection. Therefore, it is important to find a way to measure blood glucose non-invasively to minimize or eliminate the disadvantages encountered with the usual monitoring of blood glucose. Method In this paper, we performed two experiments on 16 participants while electrocardiogram (ECG) data was continuously captured. In the first experiment, participants are required to consume 75 g of anhydrous glucose solution (oral glucose tolerance test) and the second experiment, no glucose solution was taken. We explored statistical and spectral analysis on HRV, HR, R-H, P-H, PRQ, QRS, QT, QTC and ST segments derived from ECG signal to investigate which segments should be considered for the possibility of achieving non-invasive blood glucose monitoring. In the statistical analysis, we examined the pattern of the data with the boxplot technique to reveal the change in the statistical properties of the data. Power spectral density estimation was adopted for the spectral analysis to show the frequency distribution of the data. Results HRV segment obtained a statistical score of 81% for decreasing pattern and HR segment have the same statistical score for increasing pattern among the participants in the first quartile, median and mean properties. While ST segment has a statistical score of 81% for decreasing pattern in the third quartile, QT segment has 81% for increasing pattern for the median. From a total change score of 6, ST, QT, PRQ, P-H, HR and HRV obtained 4, 5, 4, 5 and 6 respectively. For spectral analysis, HRV and HR segment scored 81 and 75% respectively. ST, QT, PRQ have 75, 62 and 68% respectively. Conclusions The results obtained demonstrate that HR, HRV, PRQ, QT and ST segments under a normal, healthy condition are affected by glucose and should be considered for modelling a system to achieve the possibility of non-invasive blood glucose measurement with ECG.

scholarly journals Design of Instrumentation in Detecting Blood Sugar Levels with Non-Invasive Technique Base on IoT (Internet of Things)

2018 ◽  
Vol 7 (4.15) ◽  
pp. 440
Author(s):  
Eko Agus Suprayitno ◽  
Akhmad Setiawan ◽  
Rohman Dijaya
Keyword(s):  
Diabetes Mellitus ◽  
Internet Of Things ◽  
Blood Sugar ◽  
The Body ◽  
Invasive Technique ◽  
Non Invasive ◽  
Industry Standard ◽  
Sugar Levels ◽  
Internet Of Things Technology ◽  
Reading Distance

Diabetes mellitus is a disease with metabolic disorders that result from defects in insulin secretion, which results in hyperglycemia with impaired carbohydrates, fats and body proteins. Diabetes mellitus can be known by measuring blood sugar levels which are generally done by injuring the body (Invasive) for blood. Normal blood sugar values range from 70 - 200 mg/dL. For people with diabetes mellitus, checking blood sugar is an important thing to do to maintain their body condition. In this study made Instrumentation detection of blood sugar levels non-invasive (does not hurt the body). This study uses the MAX30100 sensor as a non-invasive measure of blood sugar levels, because to determine blood sugar levels is only done by attaching the index finger to the sensor, and does not hurt the fingers. The value of blood sugar levels in this instrumentation is displayed on LCD and Android smartphones. For serial communication, Instrumentation with Android smartphones is done with IoT (Internet Of Things) technology to make it easier for medical officers to monitor the condition of diabetics through remote Android smartphones. From the results of testing Non-invasive blood sugar detection instrumentation with industry standard blood sugar measurement (Invasive), the accuracy of blood sugar readings was 90.3% with a deviation of 1.2 - 39.6 mg/dL. Tests were carried out on 14 Normal patients and people with diabetes mellitus. Reading distance reading Non-invasive blood sugar detection instrumentation with an Android Smartphone can reach a distance of 823 Km as long as Instrumentation is connected to the internet. Tests have been carried out in several cities including Sidoarjo, North Jakarta, Sidoarjo-Lamongan, Sidoarjo-Kediri. 

Sign in / Sign up

Export Citation Format

Share Document