Desain Alat Ukur Kadar Asam Urat Non-Invasive Dengan Sensor Near Infrared

Lontara ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 69-81
Author(s):  
Usman Umar ◽  
Hasmah Hasmah ◽  
Risnawaty Alyah ◽  
Anita Nur Syam
Keyword(s):  
Uric Acid ◽  
Near Infrared ◽  
Linear Equations ◽  
Test Strip ◽  
Prediction Equation ◽  
The Body ◽  
Invasive Technique ◽  
Non Invasive ◽  
Blood Uric Acid ◽  
Invasive Techniques

Gout disease or commonly known as gout arthritis is a disease caused by the accumulation of monosodium urate crystals in the body. Monitoring blood uric acid levels is currently still using invasive techniques by taking blood samples to be included in the test strip, this invasive technique measurement requires money and time to come to health clinics so that many people cannot monitor blood uric acid levels on a regular basis. This study aims to develop a measuring instrument for monitoring blood uric acid levels using sensors by utilizing the absorption and reflectance of infrared rays so that gout sufferers and other individuals can monitor blood uric acid levels regularly and are easy to use. The method of developing non-invasive techniques focuses on monitoring blood uric acid levels using a NIR sensor with an IR LED with a wavelength of 940 nm as a transmitter and a photodiode as a detector at a wavelength of 700-1300 nm and a microcontroller as a minimum system for control. The first stage is measuring uric acid levels with invasive techniques on participants and at the same time measuring voltages with sensors, the results with invasive techniques are correlated with sensor output voltages to obtain non-linear equations in polynomial form, for conversion programs on the microcontroller. The second stage is measuring uric acid levels with invasive techniques and invasive measurements on participants at the same time. Both monitoring results were analyzed by simple ANOVA statistics and calculated SEP and RMSE to determine the accuracy of the prediction equation and its accuracy value.

scholarly journals Pemantauan Kadar Asam Urat Non Invasive Real Time Menggunakan Sensor Near Infrared

Lontara ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 41-50
Author(s):  
Usman Umar ◽  
Risnawaty Alyah
Keyword(s):  
Uric Acid ◽  
Near Infrared ◽  
Low Cost ◽  
The Body ◽  
Health Centers ◽  
P Value ◽  
Monitoring Tool ◽  
Literature Study ◽  
Non Invasive ◽  
Invasive Techniques

Gout or gout arthritis is a disease caused by the accumulation of monosodium uric crystals in the body. Uric acid is the result of the final metabolism of purines, which is a component of nucleic acids found in the body's cell nucleus. Increased uric acid can cause disturbances in the human body such as feelings of pain. The standard system used to measure uric acid levels in the blood, in general, is an invasive system that uses blood samples and is performed in clinics, health centers, and hospitals at a high cost. This research aims to develop a non-invasive system measuring gout using Near Infrared (NIR) sensor with 940 nm LED and Photodiode as a detector at a wavelength range of 600-1300 nm. The method of developing this tool begins with the stages, conducting a literature study resulting in tool design and tool making as well as tool validation by comparing invasive and non-invasive techniques. The results of this study produce a simple gout monitoring tool with an error value of 4% and low cost and easy to use. Analysis of the results of the tests using analysis of variance P-value> 0.05 and the t-test P (T <= t) 0.45> α shows that the tool designed can be used to monitor gout.

scholarly journals Using Thermal Imaging to Monitor Body Temperature of Koalas (Phascolarctos cinereus) in A Zoo Setting

Animals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 1094 ◽  
Author(s):  
Edward Narayan ◽  
Annabella Perakis ◽  
Will Meikle
Keyword(s):  
Body Temperature ◽  
Thermal Imaging ◽  
Native Species ◽  
The Body ◽  
Invasive Technique ◽  
Phascolarctos Cinereus ◽  
Non Invasive ◽  
Imaging Tool ◽  
Potential Applicability ◽  
Invasive Techniques

Non-invasive techniques can be applied for monitoring the physiology and behaviour of wildlife in Zoos to improve management and welfare. Thermal imaging technology has been used as a non-invasive technique to measure the body temperature of various domesticated and wildlife species. In this study, we evaluated the application of thermal imaging to measure the body temperature of koalas (Phascolarctos cinereus) in a Zoo environment. The aim of the study was to determine the body feature most suitable for recording a koala’s body temperature (using coefficient of variation scores). We used a FLIR530TM IR thermal imaging camera to take images of each individual koala across three days in autumn 2018 at the Wildlife Sydney Zoo, Australia. Our results demonstrated that koalas had more than one reliable body feature for recording body temperature using the thermal imaging tool—the most reliable features were eyes and abdomen. This study provides first reported application of thermal imaging on an Australian native species in a Zoo and demonstrates its potential applicability as a humane/non-invasive technique for assessing the body temperature as an index of stress.

scholarly journals Integrated Multi-channel PPG and ECG System for Cardiovascular Risk Assessment

Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 8 ◽  
Author(s):  
David Perpetuini ◽  
Antonio Maria Chiarelli ◽  
Vincenzo Vinciguerra ◽  
Piergiusto Vitulli ◽  
Sergio Rinella ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Arterial Stiffness ◽  
Pressure Wave ◽  
Large Scale ◽  
Near Infrared ◽  
Infrared Light ◽  
Invasive Technique ◽  
Cardiovascular Risk Assessment ◽  
Non Invasive ◽  
Cuff Occlusion

Photoplethysmography (PPG) is a non-invasive technique that employs near infrared light to estimate periodic oscillations in blood volume within arteries caused by the pulse pressure wave. Importantly, combined Electrocardiography (ECG) and PPG can be employed to quantify arterial stiffness. The capabilities of a home-made multi-channel PPG-ECG device (7 PPG probes, 4 ECG derivations) to evaluate arterial ageing were assessed. The high numerosity of channels allowed to estimate arterial stiffness at multiple body locations, without supra-systolic cuff occlusion, providing a fast and accurate examination of cardiovascular status and potentially allowing large scale clinical screening of cardiovascular risk.

scholarly journals Modeling the eye as a window on the body

2020 ◽  
Vol 2 (4) ◽  
pp. 4-10
Author(s):  
Lucia Carichino ◽  
Simone Cassani ◽  
Sergey Lapin ◽  
Alice Verticchio Vercellin
Keyword(s):  
The Body ◽  
Systemic Diseases ◽  
Non Invasive ◽  
Structural Functions ◽  
Invasive Techniques

Systemic pathologies such as diabetes and hypertension affect different organs and systems in the body. However, the first signs of these pathologies often emerge as alterations in visual and structural functions in the eye. As a consequence, the ophthalmologist is often the first physician to make a diagnosis of systemic diseases. In fact, the eye represents a unique organ where signs of systemic diseases may be assessed with non-invasive techniques.

scholarly journals Mid-stream clean catch urine collection in newborns: a non-invasive and safe technique

2019 ◽  
Vol 6 (2) ◽  
pp. 349 ◽  
Author(s):  
Rajendra Kumar ◽  
Nithin . ◽  
Sudha Rudrappa
Keyword(s):  
Success Rate ◽  
Urine Sample ◽  
Invasive Technique ◽  
Urine Collection ◽  
Non Invasive ◽  
Invasive Method ◽  
Safe Technique ◽  
The Mean ◽  
Invasive Techniques ◽  
Mean Time

Background: The aim of this study is to determine the success rate and safety of a non-invasive technique to obtain clean-catch midstream urine samples in newborns.Methods: Prospective bedside clinical study. After obtaining written informed consent,120 consecutive newborns admitted in NICU with no dehydration, poor feeding, need for immediate urine sample by invasive method  for whom urine collection was advised for various reasons who met the inclusion criteria were included in the study with consent being taken from the parents. After adequate milk intake supra pubic and lumbar para vertebral areas were stimulated in repeated cycles of 30 s until micturition began.Results: Success rate in obtaining a midstream urine sample within 5 min. The success rate was 90%. The mean time taken to collect urine was 64.24s, for males it was 62.55s and for females 65.93s.Conclusions: The technique has been demonstrated to be safe, quick and effective. The discomfort and time consumption usually associated with bag collection methods as well as invasive techniques can be avoided.

scholarly journals Automated Non-invasive Diagnosis of Melanoma Skin Cancer using Dermo-scopic Images

2020 ◽  
Vol 32 ◽  
pp. 03029
Author(s):  
Huda Khan ◽  
Anushka Yadav ◽  
Reha Santiago ◽  
Sangita Chaudhari
Keyword(s):  
Neural Network ◽  
Skin Cancer ◽  
Skin Biopsy ◽  
The Body ◽  
Invasive Technique ◽  
Non Invasive ◽  
Malignant Skin ◽  
Keywords Melanoma ◽  
Biopsy Method ◽  
Melanoma Skin

Melanoma skin cancer is one of the deadliest cancers today, the rate of which is rising exponentially. If not detected and treated early, it will most likely spread to other parts of the body. To properly detect melanoma, a skin biopsy is required. This is an invasive technique which is why the need for a diagnosis system that can eradicate the skin biopsy method arises. It is observed that the proposed method is successfully detecting and correctly classifying the malignant and non-malignant skin cancer. Finally, a neural network is used to classify benign and malignant images from the extracted features. Keywords: Melanoma, non-invasive, skin lesion, neural network.

Development of a non-invasive blood sugar sensor

Impact ◽  
2019 ◽  
Vol 2019 (8) ◽  
pp. 38-40
Author(s):  
Koichi Yamakawa
Keyword(s):  
Blood Sugar ◽  
Blood Sugar Level ◽  
Research Team ◽  
The Body ◽  
Invasive Technique ◽  
Risk Of Infection ◽  
Non Invasive ◽  
Finger Prick

A person with diabetes mellitus, which is commonly referred to as diabetes and exists in two forms (type 1 and type 2) must inject themselves with insulin to manage their blood sugar level. This is because the disease causes a person's blood sugar level to become too high and insulin, a hormone produced in the pancreas, helps the body to use sugar for energy. In type 1 diabetes the body's immune system attacks and destroys the cells that produce insulin and in type 2 the pancreas is unable to make enough insulin or the insulin it does make doesn't work properly. As such, in both types of the disease, insulin must be injected into the body and injecting becomes an essential part of the daily regimes of people with diabetes. As you can imagine, this, coupled with the need to regularly check blood sugar with finger prick tests, can be inconvenient as well as painful. In addition, there is the risk of infection. However, there is currently no alternative. A Japan-based research team is working on developing a non-invasive technique for measuring blood glucose.

scholarly journals Review Article: URIC ACID HOMEOSTASIS AND DISTURBANCES

2017 ◽  
Vol 53 (4) ◽  
pp. 292 ◽  
Author(s):  
Ferry Fredy Karwur ◽  
Dwi Rahayu Pujiastuti
Keyword(s):  
Uric Acid ◽  
Renal Excretion ◽  
The Body ◽  
Uric Acid Concentration ◽  
Dietary Consumption ◽  
History Of Disease ◽  
Blood Uric Acid ◽  
History Of ◽  
The Impact ◽  
Abcg2 Gene

This review examined the homeostasis of uric acid in human body and analyzed recent studies of the affecting major variables. Normal uric acid concentration in male is 3.5-7.2 mg/dL and in female is 2.6-6 mg/dL. Daily turnover of normal uric acid ranges from 498-1392 mg/day, miscible pool is 767-1650 mg, reabsorption is 8064 mg/day, renal excretion is 262-620 mg/day and intestine 186-313 mg/day. The dynamics of uric acid is influenced by factors of food, drink, age, history of disease, and genetic. High purine dietary consumption increases blood uric acid by 1-2 mg/dL, 213-290 g/day fructose drinks increases 0.52-1.7 mg/dL, 1.5 g/kgBW sucrose increases 0.61 mg/dL, and 10-20 ml/kgBW beer increases 0.50-0.92 mg/dL. The ABCG2 gene plays a role in bringing uric acid out of the body by 114.31-162.73 mg/dL, SLC2A9 of 5.43-20.17 mg/dL, and SLC22A12 of 5.77-6.71 mg/dL. The data described the homeostasis of uric acid and the magnitude of the impact of environmental (consumption of food, beverages, and lifestyle) and genetic factors. Understanding uric acid homeostasis and its disturbances is important in managing diseases as a consequence of hyperuricemia and hypouryscemia

scholarly journals Near infrared spectroscopy as a rapid method for detecting paprika powder adulteration with corn flour

2019 ◽  
pp. 346-352 ◽  
Author(s):  
John-Lewis Zaukuu ◽  
Zsanett Bodor ◽  
Flora Vitalis ◽  
Victoria Zsom-Muha ◽  
Zoltan Kovacs
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Invasive Technique ◽  
Least Squares Regression ◽  
Corn Flour ◽  
Linear Discriminant ◽  
Non Invasive ◽  
Different Levels ◽  
Powdered Form

Paprika powder is a spice of culinary importance in many homes but it?s powdered form, has been targeted for fraudulent activities intended at consumer deception. Diverse methods have been used to investigate some of these adulterations but there is no report of paprika adulteration with corn flour, although it remains a suspicion. Technologies such as the near infrared spectroscopy (NIRS) possess non-invasive and rapid advantages that could be explored to monitor this type of adulteration. The study aimed to discriminate and quantify different levels of paprika powder adulterated with corn flour, using NIRS. Two authentic paprika types (DP and SP) were purchased from reputable sources in Hungary and artificially adulterated in the laboratory. Three repeats of each adulteration level (40%, 30%, 25%, 20%, 15%, 10%, 5%, 3%, 1%) were prepared and scanned with the Metri NIRS respectively, then, analysed with chemometrics: Linear discriminant analysis (LDA) and partial least squares regression (PLSR). LDA showed 100% recognition and prediction accuracies respectively when DP and SP were analyzed separately to discriminate different concentrations of paprika adulteration. LDA models with NIRS recognize corn flour adulteration with 95.55% and predict it with 95.02% accuracy irrespective of the paprika type used in this experiment. PLSR prediction of 40%, 30%, 25%, 20%, 15%, 10%, 5%, 3%, 1% corn flour adulteration yielded an R2CV of 0.98 (high accuracy) and a low RMSECV of 1.71 g/100g (low error). Near infrared as a non-invasive technique exhibited good potentials for paprika powder authentication when corn flour is used as an adulterant.

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