A non-invasive diabetes diagnosis method based on novel scleral imaging instrument and AI

2021 ◽  
Author(s):  
Wenqi Lv ◽  
Rongxin Fu ◽  
Xue Lin ◽  
Ya Su ◽  
Xiangyu Jin ◽  
...  
Keyword(s):  
Diabetes Diagnosis ◽  
Non Invasive ◽  
Diagnosis Method ◽  
Imaging Instrument

scholarly journals Rapid Mass Spectrometric Diagnosis of Bladder Cancer via Urine Carbonyl Metabolic Fingerprints

2021 ◽  
Author(s):  
Zongxiu Nie ◽  
Yuze Li ◽  
Lixia Jiang ◽  
Zhenpeng Wang ◽  
Xiaohua Cao ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Point Of Care ◽  
Low Cost ◽  
Mass Spectrometric ◽  
Detection Sensitivity ◽  
Ionization Mass ◽  
Non Invasive ◽  
Diagnosis Method ◽  
Rapid Mass ◽  
Potential Biomarkers

Abstract The diagnosis of bladder cancer (BC) is currently based on cystoscopy, which is invasive and expensive. Here, we described a non-invasive, low-cost BC diagnosis method based on a desorption, separation, and ionization mass spectrometry platform (DSI-MS) that adopts N, N- Dimethylethylenediamine (DMED) as a differential labeling reagent. The DSI-MS platform avoids the interferences from intra- and/or inter-samples, while the DMED increases detection sensitivity and distinguishes carboxyl, aldehyde, and ketone groups from untreated samples. Carbonyl metabolic fingerprints of urine from 28 BC patients and 38 controls were portrayed and significant differences of some potential biomarkers were observed. The mechanisms of the changes have been discussed. Logistic regression (LR) was applied to discriminate BC from controls and an accuracy of 87% was achieved. We believe this patient-friendly method provides a hopeful approach for BC rapid point-of-care diagnostic.

scholarly journals Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

Biosensors ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 476
Author(s):  
Kaushiki Dixit ◽  
Somayeh Fardindoost ◽  
Adithya Ravishankara ◽  
Nishat Tasnim ◽  
Mina Hoorfar
Keyword(s):  
Blood Glucose ◽  
Diabetes Management ◽  
Glucose Monitoring ◽  
Breath Analysis ◽  
Blood Glucose Monitoring ◽  
Diabetes Diagnosis ◽  
Exhaled Breath ◽  
Non Invasive ◽  
Exhaled Breath Analysis ◽  
Diabetes Monitoring

With the global population prevalence of diabetes surpassing 463 million cases in 2019 and diabetes leading to millions of deaths each year, there is a critical need for feasible, rapid, and non-invasive methodologies for continuous blood glucose monitoring in contrast to the current procedures that are either invasive, complicated, or expensive. Breath analysis is a viable methodology for non-invasive diabetes management owing to its potential for multiple disease diagnoses, the nominal requirement of sample processing, and immense sample accessibility; however, the development of functional commercial sensors is challenging due to the low concentration of volatile organic compounds (VOCs) present in exhaled breath and the confounding factors influencing the exhaled breath profile. Given the complexity of the topic and the skyrocketing spread of diabetes, a multifarious review of exhaled breath analysis for diabetes monitoring is essential to track the technological progress in the field and comprehend the obstacles in developing a breath analysis-based diabetes management system. In this review, we consolidate the relevance of exhaled breath analysis through a critical assessment of current technologies and recent advancements in sensing methods to address the shortcomings associated with blood glucose monitoring. We provide a detailed assessment of the intricacies involved in the development of non-invasive diabetes monitoring devices. In addition, we spotlight the need to consider breath biomarker clusters as opposed to standalone biomarkers for the clinical applicability of exhaled breath monitoring. We present potential VOC clusters suitable for diabetes management and highlight the recent buildout of breath sensing methodologies, focusing on novel sensing materials and transduction mechanisms. Finally, we portray a multifaceted comparison of exhaled breath analysis for diabetes monitoring and highlight remaining challenges on the path to realizing breath analysis as a non-invasive healthcare approach.

scholarly journals A Non Invasive Diabetes Diagnosis using a Motor Device

2019 ◽  
Vol 9 (1S4) ◽  
pp. 729-731
Keyword(s):  
Blood Sugar ◽  
Test Subject ◽  
Diabetes Diagnosis ◽  
High Blood Sugar ◽  
Non Invasive ◽  
The World ◽  
Acute Complications ◽  
Invasive Method ◽  
Sugar Levels ◽  
Test Result

Along with the advancement in Biomedical technology to cure many commons, but there is certain lethal disease spanned in the world which has no cure for it. One such is Diabetes, although it does not have any remedy, at least it has controlling and diagnosing methods. It is a type of disorder in body metabolism where there is a high blood sugar level for sustained period. Diabetes is a condition in which there happened to be high blood sugar levels over a longtime. Symptoms are repeated urination, thirst, and hunger. If left unchecked, it may cause many complications. Acute complications include ketoacidosis, or death. The Diabetes can be analysed by gaining a drop of blood from test subject and blending it with biosensor. This method is compact and modest, but it happens to be an intrusive and contaminant method as it deals with the usage of blood. This assumption sparked us to progress a non-invasive method of diagnosing the diabetes level for a patient using their foot sensitivity. This advancement helps one to obtain the same test result but with a non-invasive practise, which gives a painless and non-contaminant diagnosis.

scholarly journals A Fast and Simple Fault Diagnosis Method for Interleaved DC-DC Converters Based on Output Voltage Analysis

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1451
Author(s):  
Po Li ◽  
Xiang Li ◽  
Tao Zeng
Keyword(s):  
Output Voltage ◽  
High Efficiency ◽  
Tidal Energy ◽  
Open Circuit ◽  
Buck Converter ◽  
Switching Frequency ◽  
Harmonic Amplitude ◽  
Non Invasive ◽  
New Energy ◽  
Diagnosis Method

Interleaved DC-DC converters have been widely used in power conversion due to their high efficiency and reliability. In the application of new energy, this plays an increasingly important role in the grid-connected power generation of wind, solar, and tidal energy. Therefore, it is crucial to ensure the reliability and proper operation of interleaved DC-DC converters. We studied an open circuit fault (OCF) diagnosis method for a three-phase interleaved buck converter. We propose a non-invasive diagnosis method based on the output voltage using the harmonic amplitude and phase at the switching frequency as the diagnostic criteria. Evaluation was carried out on a hardware-in-the-loop (HIL) test platform to prove the validity of the proposed method. The results show that the presented method had high accuracy and robustness against OCFs, which could otherwise damage the system.

scholarly journals Non-Invasive Method to Diagnose Lung Energy of the Smoking Population

2019 ◽  
Vol 9 (2) ◽  
pp. 2080-2083
Keyword(s):  
Health Status ◽  
Energy Distribution ◽  
Energy Detection ◽  
Key Factors ◽  
Non Invasive ◽  
Invasive Method ◽  
Diagnosis Method ◽  
Invasive Device ◽  
Status Analysis ◽  
The Brain

Smoking is an activity where toxic content which on fire produces smoke which can be detrimental if inhaled and mixed into the blood flow. Smoking is one of the key factors for death globally. On an average masculine and feminine smoker suffer about 13.2 and 14.5 year lifetime variation when compared to non-smoking individual. Most of the individuals who smoke regularly has higher prevalence of stroke, eye cataracts and cancer of nose, lips, tongue and mouth. The fact that 22.1% of masculine smoker and 11.9% of feminine smoker has a huge risk of dying due to lung cancer before age 80. The smoking generally has a adverse effect in its later stage and the diagnosis is generally invasive. There is a need for an early and non invasive diagnosis method for finding the adverse effects of smoking. Biowell is one such non invasive device to find psycho emotional status, Energy distribution and functional status of different organ. By using GDV based energy detection and health status analysis we can differentiate the damage caused to the brain and other major parts like Lungs, Nerve and Thoracic region. Smoking populations along with non smokers are taken and energy distribution and health status are collected, analyzed to prove the efficiency of Biowell instrument as a standard diagnostic tool.

Association of Simultaneously Measured Limbs Blood Pressure Differences with Ankle–Brachial Index

2019 ◽  
Vol 16 (03) ◽  
pp. 1842016 ◽  
Author(s):  
Xiaorui Song ◽  
Gaoyang Li ◽  
Aike Qiao ◽  
Zongping Jin ◽  
Zhihui Chen ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Primary Care ◽  
Ankle Brachial Index ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Non Invasive ◽  
Blood Pressure Difference ◽  
Difference Formula ◽  
Diagnosis Method ◽  
The Relationship

The relationship between simultaneous limbs blood pressure differences and Ankle–Brachial Index (ABI) is controversial. This paper aims to investigate the association of limbs blood pressures differences with ABI as the current non-invasive diagnosis method in clinical primary care. A cross-sectional study was performed to analysis the relationship between them. The results showed that [Formula: see text] was independently associated with inter-arm (OR, 15.469; CI, (1.776–134.773); [Formula: see text]) and inter-ankle (OR, 7.189; CI, (1.010–51.179); [Formula: see text]) when the systolic blood pressure difference [Formula: see text][Formula: see text]mmHg. Therefore, the simultaneous measurement of four limbs blood pressure differences can provide an aid for the non-invasive detection method of PAD in clinical primary care.

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