scholarly journals Development of an Autonomous Endoscopically Implantable Submucosal Microdevice Capable of Neurostimulation in the Gastrointestinal Tract

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
J. Hajer ◽  
M. Novák
Keyword(s):  
Diabetes Mellitus ◽  
Animal Model ◽  
Gastrointestinal Tract ◽  
Real Time ◽  
High Frequency ◽  
Implantable Device ◽  
The Body ◽  
Sensor Data ◽  
Live Animal ◽  
Common Diseases

Gastric dysmotility can be a sign of common diseases such as longstanding diabetes mellitus. It is known that the application of high-frequency low-energetic stimulation can help to effectively moderate and alleviate the symptoms of gastric dysmotility. The goal of our research was the development of a miniature, endoscopically implantable device to a submucosal pocket. The implantable device is a fully customized electronics package which was specifically designed for the purpose of experiments in the submucosa. The device was endoscopically inserted into the submucosal pocket of a pig stomach and partially severed pig side in order to adequately simulate a live animal model. The experiment confirmed that the designed device can be implanted into the submucosa and is capable of the measurement of sensor data and the transmission of this data wirelessly in real time to a computer outside of the body. After proving that the device can be implanted submucosally and transmit data, further experiments can now be performed, primarily with an electrogastrography (EGG) instrument and implantable device with tissue stimulation capability.

Real-Time Motion Capture for a Human Body using Accelerometers

Robotica ◽  
2001 ◽  
Vol 19 (6) ◽  
pp. 601-610 ◽  
Author(s):  
Jihong Lee ◽  
Insoo Ha
Keyword(s):  
Real Time ◽  
Motion Capture ◽  
Human Body ◽  
Degrees Of Freedom ◽  
Low Cost ◽  
Human Motion ◽  
The Body ◽  
Sensor Data ◽  
Time Motion ◽  
Gravity Acceleration

In this paper we propose a set of techniques for a real-time motion capture of a human body. The proposed motion capture system is based on low cost accelerometers, and is capable of identifying the body configuration by extracting gravity-related terms from the sensor data. One sensor unit is composed of 3 accelerometers arranged orthogonally to each other, and is capable of identifying 2 rotating angles of joints with 2 degrees of freedom. A geometric fusion technique is applied to cope with the uncertainty of sensor data. A practical calibration technique is also proposed to handle errors in aligning the sensing axis to the coordination axis. In the case where motion acceleration is not negligible compared with gravity acceleration, a compensation technique to extract gravity acceleration from the sensor data is proposed. Experimental results not only for individual techniques but also for human motion capturing with graphics are included.

Real-Time Direct Position Analysis of Parallel Spherical Wrists by Using Extra Sensor Data

2004 ◽  
Author(s):  
R. Vertechy ◽  
V. Parenti-Castelli
Keyword(s):  
Real Time ◽  
Measurement Errors ◽  
Degrees Of Freedom ◽  
Point Of View ◽  
The Body ◽  
Least Square ◽  
Sensor Data ◽  
End Effector ◽  
Kinematic Chains ◽  
Position Analysis

The paper presents an algorithm for the real-time evaluation of the actual end-effector orientation (pose) of general parallel spherical wrists. Conceptually, the method relies on the evidence that the pose of a rigid body is defined once the location of at least two linearly independent vectors attached to the body is known. The location of these vectors of the wrist end-effector is determined by the solution of the direct position analysis of some properly chosen kinematic chains (legs) of the manipulator. In order to accomplish this analysis, extra-sensors, which measure suitable non-actuated variables of the chosen legs, need to be placed in addition to the ones normally embedded in the servo motors, i.e. the sensors which measure the actuated variables. From a mathematical point of view, the algorithm is built on the Polar Decomposition of a matrix and has inherent least square features. Thus, together with measurement redundancy, i.e. more sensors (extra-sensors) than the mechanism degrees of freedom, the method also allows minimizing the influence of both round-off and measurement errors on the estimation of the location of the wrist end-effector. The method is general but, in order to prove its effectiveness, without loss of generality it has been customized to the solution of the (3-UPS)S fully parallel wrist architecture. Comparison of the proposed method, in both its general and specialized form, with others from the literature is provided.

scholarly journals ANÁLISE DE PACIENTES DIABÉTICOS ATENDIDOS NO AMBULATÓRIO DE ESPECIALIDADES EM NUTRIÇÃO DA URI- CAMPOS DE FREDERICO WESTPHALEN- RS

2018 ◽  
Vol 7 (2) ◽  
pp. 91-99
Author(s):  
Elis Marina Marchioro ◽  
Janice Daiane Brutti ◽  
Rúbia Garcia Deon ◽  
Fábia Benetti
Keyword(s):  
Diabetes Mellitus ◽  
High Frequency ◽  
Eating Habits ◽  
Clinical History ◽  
Diabetes Mellitus Patient ◽  
The Body ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Nutritional Monitoring ◽  
Socioeconomic Data

O Diabetes Mellitus (DM) é um grupo heterogêneo de distúrbios metabólicos que tem em comum a hiperglicemia. No Brasil, onde as cidades das regiões Sul e Sudeste são consideradas de maior desenvolvimento econômico, o número de indivíduos que apresentam DM é maior. O objetivo dessa pesquisa foi analisar os pacientes diabéticos atendidos no Ambulatório de Especialidades em Nutrição da URI - Campus de Frederico Westphalen/RS no ano de 2016. Trata-se de um estudo transversal, quantitativo e descritivo. A partir dos prontuários dos pacientes com DM, foram coletados dados pessoais e socioeconômicos, história clínica, hábitos alimentares e medidas antropométricas. Foi identificado que 10% dos pacientes apresentavam como diagnóstico o DM. Desta amostra, a maioria é do sexo masculino, com média de idade 37,5±16,7 anos. Referente ao Índice de Massa Corporal pode ser observado uma alta frequência de sobrepeso nos pacientes do sexo masculino (55%), diferentemente do sexo feminino, onde a eutrofia e obesidade I tiveram maior relevância, ambos com 37,5%. Para fatores de risco, destacou-se uma elevada frequência de pacientes com sobrepeso e obesidade, afetando em torno de 74% dos pacientes com DM. Já análise do Recordatório Alimentar 24 horas, o consumo de carboidratos apresentou média de 57,6±10,26% e proteína 18,68±9,55% e são similares os recomendados pela Sociedade Brasileira de Diabetes. Pelo exposto podemos reafirmar a necessidade e importância do acompanhamento nutricional aos pacientes diabéticos, como uma estratégia não farmacológica necessária que beneficiará o paciente no controle da glicemia e no retardo da progressão de comorbidades associadas ao DM.Palavras-chave: Diabetes Mellitus. Assistência ao Paciente. Avaliação nutricional. ANALYSIS OF DIABETIC PATIENTS TAKEN IN THE AMBULATORY OF NUTRITION SPECIALTIES OF URI- CAMPOS DE FREDERICO WESTPHALEN- RS ABSTRACT: Diabetes Mellitus (DM) is classified by a heterogeneous group of metabolic disorders that have in common hyperglycemia. More specifically, in Brazil, where the cities of the South and Southeast are considered to be the most economically developed, the number of individuals with DM is higher. In this context, the objective of the present study was to analyze the diabetic patients attended at the Nutrition Specialties Clinic of the URI - Campus of Frederico Westphalen/RS in the year 2016. This is a cross-sectional, quantitative and descriptive study. The study was based on the data collection of patients' records with DM, personal and socioeconomic data were collected, as well as clinical history, eating habits and anthropometric measurements. As a result, it was identified that 10% of the patients presented DM as their diagnosis. From this sample, the prevalence of patients is male, with a mean age of 37.5 ± 16.7 years. Regarding the Body Mass Index, a high frequency of overweight was observed in male patients (55%), differently from the female sex, where eutrophy and obesity I were more relevant, both with 37.5%. For risk factors, a high frequency of overweight and obese patients was observed, affecting around 74% of patients with DM, followed by the rate of sedentary and alcoholic patients, in a lower proportion of patients with a diagnosis of Arterial Hypertension (26 %) And smokers with 16%. Already analysis of the Food Recall 24 hours we can verify that the consumption of carbohydrates, with an average of 57.6 ± 10.26% and protein 18.68 ± 9.55% are similar to those recommended by the Brazilian Society of Diabetes. Therefore, we can reaffirm the need and importance of nutritional monitoring for diabetic patients, as a necessary non-pharmacological strategy that will benefit the patient in glycemic control and delayed progression of comorbidities associated with DM.Keywords: Diabetes Mellitus. Patient Care. Nutrition assessment.

scholarly journals Real-Time Inverse Estimation of Ocean Wave Spectra from Vessel-Motion Sensors Using Adaptive Kalman Filter

2019 ◽  
Vol 9 (14) ◽  
pp. 2797 ◽  
Author(s):  
HanSung Kim ◽  
HeonYong Kang ◽  
Moo-Hyun Kim
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
High Frequency ◽  
Practical Importance ◽  
Ocean Wave ◽  
Sensor Data ◽  
Wave Spectra ◽  
Inverse Estimation ◽  
High Frequency Waves ◽  
Vessel Motion

The real-time inverse estimation of the ocean wave spectrum and elevation from a vessel-motion sensor is of significant practical importance, but it is still in the developing stage. The Kalman-filter method has the advantages of real-time estimation, cost reduction, and easy installation than other methods. Reasonable estimation of high-frequency waves is important in view of covering various sea states. However, if the vessel is less responsive for high-frequency waves, amplified noise may occur and cause overestimation problem there. In this paper, a configuration of Kalman filter with applying the principle of Wiener filter is proposed to suppress those over-estimations. Over-estimation is significantly reduced at high frequencies when the method is applied, and reliable real-time wave spectra and elevations can be obtained. The simulated sensor data was used, but the proposed algorithm has been proved to perform well for various sea states and different vessels. In addition, the proposed Kalman-filter technique is robust when it is applied to time-varying sea states.

scholarly journals Effective Dose of Streptozotocin to Induce Diabetes Mellitus and Variation of Biophysical and Biochemical Parameters in Albino Wistar Rats

2021 ◽  
Author(s):  
Suhasini Padugupati ◽  
S Ramamoorthy ◽  
Kumar Thangavelu ◽  
DVHS Sarma ◽  
Deepak Jamadar
Keyword(s):  
Diabetes Mellitus ◽  
Animal Model ◽  
Body Weight ◽  
Blood Glucose ◽  
Mortality Rate ◽  
Wistar Rats ◽  
Diabetic Animal ◽  
The Body ◽  
Control Group ◽  
C Peptide

Introduction: There is a need to develop diabetic animal model, to have a better understanding of the complications of diabetes mellitus. The dose of Streptozotocin (STZ) to induce diabetes mellitus in animals is important as it may lead to inadequate induction of diabetes or mortality. Intravenous injection of STZ in adult Wistar rats, leads to the degeneration in Langerhans islet β-cells and induces experimental diabetes mellitus in 3-5 days. Aim: To optimise the dose of STZ to create a diabetic animal model with sustained hyperglycaemia and to compare the changes in body weight, serum glucose and C-peptide levels between non diabetic and diabetic rats. Materials and Methods: This experimental animal study was conducted at animal house, Pal amur Bioscience Pvt., Ltd. The sample size included 30 albino Wistar rats divided into five groups T0, T1, T2, T3 and T4 with six rats in each group (three males and three females). Group T0 was the control, while STZ at different concentrations were administered intraperitoneally in group T1, T2, T3 and T4, respectively. Blood samples were drawn from retro-orbital plexus of animals and blood glucose, C-peptide levels along with the body weight was checked on 7th, 14th, 21st and 28th day. The F statistics, one-way Analysis of variance (ANOVA) was used to compare the different groups. Denny’s test was used to compare the control group versus different test groups. Results: When compared with the control group T0 on 7th, 14th, 21st and 28th day, the test group T1 had no variation in the body weight. On the other hand groups T2, T3 and T4 had variations in the body weights. Initially there was increase in the weight, later here was a gradual decrease in the body weight when compared to the control group. Hyperglycaemic profile (blood glucose level >120 mg/dL) was achieved in group T1, T2, T3 and T4 after 7 days. High mortality rate was observed in group T4 followed by group T3. Group T2 had persistent hyperglycaemia while group T1 had reversible hyperglycaemic profile. The C-peptide levels were gradually decreased in the test groups and it was statistically significant (p-value <0.0001). Conclusion: Intraperitoneal dose of STZ of 55 mg/kg created diabetic animal model with persistent hyperglycaemia. However, dose above increased the mortality rate and below failed to create diabetic animal model.

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.

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