scholarly journals Design of a non-invasive sensing system for diagnosing gastric disorders

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 73
Author(s):  
Rosario Morello ◽  
Laura Fabbiano ◽  
Paolo Oresta ◽  
Claudio De Capua
Keyword(s):  
Skin Surface ◽  
Detection Algorithm ◽  
Dominant Frequency ◽  
The Body ◽  
Diagnostic Model ◽  
Discrete Wavelet ◽  
Diagnostic Parameters ◽  
Prototype Development ◽  
Non Invasive ◽  
Sensing System

Gastric disorders are widely spread among the population of any age. At the moment, the diagnosis is made by using invasive systems that cause several side effects. The present manuscript proposes an innovative non-invasive sensing system for diagnosing gastric dysfunctions. The Electro-GastroGraphy (EGG) technique is used to record myoelectrical signals of stomach activities. Although EGG technique is well known for a long time, several issues concerning the signal processing and the definition of suitable diagnostic criteria are still unresolved. So, EGG is to this day a trial practice. The authors want to overcome the current limitations of the technique and improve its relevance. To this purpose, a smart EGG sensing system has been designed to non-invasively diagnose gastric disorders. In detail, the system records the gastric slow waves by means of skin surface electrodes placed in the epigastric area. Cutaneous myoelectrical signals are so acquired from the body surface in proximity of stomach. Electro-gastrographic record is then processed. According to the diagnostic model designed from the authors, the system estimates specific diagnostic parameters in time and frequency domains. It uses Discrete Wavelet Transform to obtain power spectral density diagrams. The frequency and power of the EGG waveform and the dominant frequency components are so analyzed. The defined diagnostic parameters are put in comparison with the reference values of a normal EGG in order to estimate the presence of gastric pathologies by the analysis of arrhythmias (<em>tachygastria</em>, <em>bradygastria</em> and irregular rhythm). The paper aims to describe the design of the system and of the arrhythmias detection algorithm. Prototype development and experimental data will be presented in future works. Preliminary results show an interesting relevance of the suggested technique so that it can be considered as a promising non-invasive tool for diagnosing gastrointestinal motility disorders.

scholarly journals SKIN SURFACE CHEMISTRY AS A DIAGNOSTIC TOOL FOR SKIN DISEASES

2021 ◽  
Vol 12 (01) ◽  
Author(s):  
Liqaa Samir Esmail
Keyword(s):  
Optical Imaging ◽  
Chronic Wounds ◽  
Skin Diseases ◽  
Sense Organ ◽  
Skin Barrier ◽  
Skin Surface ◽  
Skin Layer ◽  
The Body ◽  
Non Invasive ◽  
The Face

The skin is the biggest sense organ in the body, with a surface area of 1.7m2 in adults. Because standard histological procedures influence skin components, several dermatological research has had little effectiveness in showing skin function. The structure of each skin layer may now be visualised non-invasively thanks to recent advances in non-invasive optical imaging. Individual skin components, on the other hand, remain difficult to identify. Understanding skin's chemical and physical features helps the cosmetics sector create deodorant, lipstick, and moisturizers. In addition, PH regulates the activation of proteases linked to the formation of chronic wounds and impacts skin barrier functions. Optical coherence tomography (OCT) is a non-invasive optical imaging innovation that creates high-resolution photos of the face and cross-areas of the skin. While OCT has a lot of potentials, many dermatologists are unfamiliar with it. This article aims to give professional dermatologists a basic grasp of skin OCT concepts and clinical applications.

scholarly journals Melanoma Screening with Computer Aided Dermoscopy System Based on the ABCD Criteria

2019 ◽  
Vol 4 (1) ◽  
pp. 01-04
Author(s):  
Heller Richard ◽  
Guilan Shi
Keyword(s):  
Computer Technology ◽  
Early Stage ◽  
Skin Surface ◽  
Mortality Rates ◽  
Skin Lesions ◽  
The Body ◽  
Non Invasive ◽  
Pigmented Skin Lesions ◽  
Early Tumor ◽  
Melanoma Screening

Melanoma mortality rates are the highest amongst skin cancer patients. The 5-year survival rate is 92% if melanoma is diagnosed at an early stage and is localized. If melanoma has spread to other parts of the body, survival is only 13%. Therefore, it is particularly important to develop approaches that can enhance early and accurate diagnosis of melanoma. Dermatoscopy has been widely used to identify early tumor growth. With the addition of computer technology, digital dermatoscopy systems are capable of accurately assessing skin surface features modeled along the ABCD criteria and have been used for clinical assessment of pigmented skin lesions. This paper introduces a non-invasive computerized dermoscopy system that considers lesions on the skin for `diagnosis.

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 A Review: Non Invasive Sensing System for Detection Glucose Level

2021 ◽  
Vol 1963 (1) ◽  
pp. 012125
Author(s):  
Lina Nasseer Bachache ◽  
Jamal Abduljabar Hasan ◽  
Auns Qusai Al-Neam
Keyword(s):  
Glucose Level ◽  
Non Invasive ◽  
Sensing System

scholarly journals Non-Invasive Dengue Diagnostics—The Use of Saliva and Urine for Different Stages of the Illness

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1345
Author(s):  
Mahathir Humaidi ◽  
Wei Ping Tien ◽  
Grace Yap ◽  
Choon Rong Chua ◽  
Lee Ching Ng
Keyword(s):  
Clinical Symptoms ◽  
Detection Algorithm ◽  
Acute Stage ◽  
Serum Samples ◽  
Non Invasive ◽  
Fever Onset ◽  
Dengue Transmission ◽  
Dengue Diagnostics ◽  
Potential Tool

Dengue diagnosis is largely dependent on clinical symptoms and routinely confirmed with laboratory detection of dengue virus in patient serum samples collected via phlebotomy. This presents a challenge to patients not amenable to venipuncture. Non-invasive methods of dengue diagnosis have the potential to enhance the current dengue detection algorithm. In this study, samples from dengue infected patients were collected between January 2012 until September 2012 and September 2013 until December 2013 in two different setups. Panel A samples (blood, urine, and saliva) were collected daily when the 39 patients were hospitalised and during their follow-up visits while Panel B samples (saliva) were collected from 23 patients during the acute stage of dengue. Using DENV PCR on Panel A, from day 2 to day 4 post fever onset, serum showed the best overall positivity followed by saliva and urine (100%/82.1%/67.9%). From day 5 until day 10 post fever onset, serum and urine had similar positivity (67.4%/61.2%), followed by saliva (51.3%). Beyond day 10 post fever onset, DENV was undetectable in sera, but urine and saliva showed 56.8% and 28.6% positivity, respectively. DENV in urine was detectable up until 32 days post fever. Panel B results showed overall sensitivity of 32.4%/36% (RNA/NS1) for DENV detection in saliva. Our results suggest that the urine-based detection method is useful especially for late dengue detection, where DENV is undetected in sera but still detectable in urine. This provides a potential tool for the physician to pick up new cases in an area where there is ongoing dengue transmission and subsequently prompt for intensified vector control activities.

scholarly journals Identification of miR-20a-5p as Robust Normalizer for Urine microRNA Studies in Renal Cell Carcinoma and A Profile of Dysregulated microRNAs

2021 ◽  
Vol 22 (15) ◽  
pp. 7913
Author(s):  
Julia Oto ◽  
Raquel Herranz ◽  
Emma Plana ◽  
José Vicente Sánchez-González ◽  
Javier Pérez-Ardavín ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Diagnostic Value ◽  
Diagnostic Model ◽  
Low Grade ◽  
Non Invasive ◽  
Good Expression ◽  
Independent Cohort

Renal cell carcinoma (RCC) is the third most frequent urinary malignancy and one of the most lethal. Current diagnostic and follow-up techniques are harmful and unspecific in low-grade tumors. Novel minimally invasive markers such as urine microRNAs (miRNAs) are under study. However, discrepancies arise among studies in part due to lack of consent regarding normalization. We aimed to identify the best miRNA normalizer for RCC studies performed in urine samples together with a miRNA profile with diagnostic value and another for follow-up. We evaluated the performance of 120 candidate miRNAs in the urine of 16 RCC patients and 16 healthy controls by RT-qPCR followed by a stability analysis with RefFinder. In this screening stage, miR-20a-5p arose as the most stably expressed miRNA in RCC and controls, with a good expression level. Its stability was validated in an independent cohort of 51 RCC patients and 32 controls. Using miR-20a-5p as normalizer, we adjusted and validated a diagnostic model for RCC with three miRNAs (miR-200a-3p, miR-34a-5p and miR-365a-3p) (AUC = 0.65; Confidence Interval 95% [0.51, 0.79], p = 0.043). let-7d-5p and miR-205-5p were also upregulated in patients compared to controls. Comparing RCC samples before surgery and fourteen weeks after, we identified let-7d-5p, miR-152-3p, miR-30c-5p, miR-362-3p and miR-30e-3p as potential follow-up profile for RCC. We identified validated targets of most miRNAs in the renal cell carcinoma pathway. This is the first study that identifies a robust normalizer for urine RCC miRNA studies, miR-20a-5p, which may allow the comparison of future studies among laboratories. Once confirmed in a larger independent cohort, the miRNAs profiles identified may improve the non-invasive diagnosis and follow-up of RCC.

scholarly journals The Use of Micro- and Nanocarriers for Resveratrol Delivery into and across the Skin in Different Skin Diseases—A Literature Review

Pharmaceutics ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 451
Author(s):  
Beata Szulc-Musioł ◽  
Beata Sarecka-Hujar
Keyword(s):  
Transdermal Delivery ◽  
Bacterial Infections ◽  
Skin Diseases ◽  
Skin Surface ◽  
Non Invasive ◽  
Skin Abnormalities ◽  
Low Solubility ◽  
Active Substances ◽  
Poor Stability

In recent years, polyphenols have been extensively studied due to their antioxidant, anticancer, and anti-inflammatory properties. It has been shown that anthocyanins, flavonols, and flavan-3-ols play an important role in the prevention of bacterial infections, as well as vascular or skin diseases. Particularly, resveratrol, as a multi-potent agent, may prevent or mitigate the effects of oxidative stress. As the largest organ of the human body, skin is an extremely desirable target for the possible delivery of active substances. The transdermal route of administration of active compounds shows many advantages, including avoidance of gastrointestinal irritation and the first-pass effect. Moreover, it is non-invasive and can be self-administered. However, this delivery is limited, mainly due to the need to overpassing the stratum corneum, the possible decomposition of the substances in contact with the skin surface or in the deeper layers thereof. In addition, using resveratrol for topical and transdermal delivery faces the problems of its low solubility and poor stability. To overcome this, novel systems of delivery are being developed for the effective transport of resveratrol across the skin. Carriers in the micro and nano size were demonstrated to be more efficient for safe and faster topical and transdermal delivery of active substances. The present review aimed to discuss the role of resveratrol in the treatment of skin abnormalities with a special emphasis on technologies enhancing transdermal delivery of resveratrol.

scholarly journals Sensors for the detection of ammonia as a potential biomarker for health screening

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Peter P. Ricci ◽  
Otto J. Gregory
Keyword(s):  
Vapor Phase ◽  
Detection System ◽  
Health Screening ◽  
The Body ◽  
Peptic Ulcers ◽  
Non Invasive ◽  
Sensing Platform ◽  
Potential Biomarker ◽  
Screening Protocol ◽  
H Pylori

AbstractThe presence of ammonia within the body has long been linked to complications stemming from the liver, kidneys, and stomach. These complications can be the result of serious conditions such as chronic kidney disease (CKD), peptic ulcers, and recently COVID-19. Limited liver and kidney function leads to increased blood urea nitrogen (BUN) within the body resulting in elevated levels of ammonia in the mouth, nose, and skin. Similarly, peptic ulcers, commonly from H. pylori, result in ammonia production from urea within the stomach. The presence of these biomarkers enables a potential screening protocol to be considered for frequent, non-invasive monitoring of these conditions. Unfortunately, detection of ammonia in these mediums is rather challenging due to relatively small concentrations and an abundance of interferents. Currently, there are no options available for non-invasive screening of these conditions continuously and in real-time. Here we demonstrate the selective detection of ammonia using a vapor phase thermodynamic sensing platform capable of being employed as part of a health screening protocol. The results show that our detection system has the remarkable ability to selectively detect trace levels of ammonia in the vapor phase using a single catalyst. Additionally, detection was demonstrated in the presence of interferents such as carbon dioxide (CO2) and acetone common in human breath. These results show that our thermodynamic sensors are well suited to selectively detect ammonia at levels that could potentially be useful for health screening applications.

Sign in / Sign up

Export Citation Format

Share Document