Infrared Thermography for Detection of Diabetic Neuropathy and Vascular Disorder

Lahiri, B.B.; Bagavathiappan, S.; Raj, Baldev; Philip, John

doi:10.1007/978-981-10-3147-2_13

Cited by 15 publications

(12 citation statements)

References 134 publications

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“…This work will confer a method for early identification of diabetes by combining thermal imaging with a neural network technique where the training of the network was in the similar way the human brain will function [21]. Thermography is an effective tool in the diagnosis of many diseases like diabetics, fever screening, breast cancer detection, and so on [22,23]. Initially pre-processing of thermal images were done to reduce noise and regions of interest were extracted to which a neural network model was applied to obtain the status of the patient.…”

Section: Early Detection Of Diabetes Using Thermography and Artificial Neural Networkmentioning

confidence: 99%

A study on various thermographic methods for the detection of diseases

Kumar

Roy

Shrivastava

2021

2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)

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Fever is a common symptom for various infectious diseases that are reporting nowadays in a massive amount like COVID-19, Ebola and so on that will directly affect our whole human cells and are showing a lot of chromosomal aberrations too. Since there was not a unique way are to predict how these diseases will affect our body both physically and mentally, since they can create some aftereffects in future too, there should be a suitable system which will efficiently detect these type of pandemic. In all these situations thermal screening had emerged as a remedial method for the detection of temperature variations. Among this Infrared thermography had been used as the best and effective method for fever screening. This survey presents some of the important papers which discussed how Infrared thermography can be effectively utilized for the detection of these epidemics by analyzing the temperature variations done in fever screening. Infrared thermography (IRT) is a method which uses an imaging scheme that gives you an image which is a thermal diagram that shows the temperature variations of various intensities. IRT uses the basic working principle from Stefan-Boltzmann Law, where the relationship between the temperature and the emissive power is established and the camera which is the infrared camera will capture this infrared energy and is converted into corresponding electronic signals. This paper gives a brief idea about various techniques used for fever screening which can be used to detect various diseases.

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Section: Early Detection Of Diabetes Using Thermography and Artificial Neural Networkmentioning

confidence: 99%

A study on various thermographic methods for the detection of diseases

Kumar

Roy

Shrivastava

2021

2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)

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“…The existence of temperature difference between the blood and tissue is considered as firm evidence of its function to remove or release heat [1,40]. Based on this theory, Pennes (1948) proposed his famous heat transfer model [41], which is called Pennes' bioheat equation [15,42]. Pennes suggested that the effect of blood flow in the tissue be modeled as a thermal source and physical sink term added to the conventional heat conduction equation [43].…”

Section: Penne's Bioheat Transfer Modelmentioning

confidence: 99%

“…Skin blood perfusion and vasodilatation in response to local warming is stimulated by the release of sensory nerve neuropeptides or the non-neural stimulation of the cutaneous arteriole by nitric oxide (NO) [13,14]. Thermographic imagers have exploited this localized warming response to provide a skin blood perfusion challenge [15,16]. Generally, the use of cold excitation is one of the stable methods for the skin blood perfusion measurement [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Thermography Quantification of Human Perfusion Thermal Signature

AlZubaidi¹,

Hussein²,

Basil³

et al. 2018

Preprint

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Blood perfusion quantification is important vital parameters in different diagnostic procedure, using infrared thermography imaging; it is reliable to use this technique as non-contact, non-invasive blood flow measurement method. Therefore, we developed a measurement protocol for blood flow over the arm's anterior surface. By using the superficial brachial and radial veins to be monitored under the impact of cold-excitation of (2 °C to 5 °C), the blood perfusion signal was detected using thermal imager of long-wave infrared spectral range (LWIR, 7μm - 14 μm). The simulation of Penne's bioheat transfer equation was performed to be compared with results obtained from the infrared thermography. Furthermore, the proposed blood flow monitoring using external adjusting of the excitation temperature, by using (cold-compress, or cold air-stream) applied to the region under testing. The signal detected resembles to the hemodynamic pulse of the superficial veins, in the definition of systolic and diastolic phases of the cardiac cycle. Moreover, statistical analysis applied to the BFIRT signals from 24 subjects to estimate the skin's mean temperature after recovery from the thermal excitation.

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“…Atualmente, pode-se citar como algumas utilizações da TI: diagnóstico do diabetes [9], verificação de presença do vírus Aphthoviru (causador da Febre Aftose ou FMDV) [15], reconhecimento de alterações nas mamas [17], [21], na tireóide [10] e no sistema cardio-vascular de humanos e bovinos [2], [19].…”

Section: Introductionunclassified

Análise de Imagens Termográficas para a Classificação de Alterações nas Mamas

Filho¹,

Lima²,

Couto³

et al. 2018

Anais De XXXVI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Resumo-A Termografia Infravermelha (TI)é uma técnica de diagnóstico antiga, que está conquistando espaço na Medicina moderna pelos seus diversos benefícios.É amplamente utilizada no diagnóstico de alterações nas mamas e tireóide ou até mesmo diabetes. Este artigo apresenta técnicas de processamento de imagens termográficas e uma análise de desempenho dos classificadores LDA (Linear Discriminant Analysis), QDA (Quadratic Discriminant Analysis) e RBF (Radial Basis Function). Para consolidar a análise, foram propostos dois conjuntos de características distintos, para os quais os classificadores se mostraram eficientes e satisfatórios.

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Infrared Thermography for Detection of Diabetic Neuropathy and Vascular Disorder

Cited by 15 publications

References 134 publications

A study on various thermographic methods for the detection of diseases

A study on various thermographic methods for the detection of diseases

Thermography Quantification of Human Perfusion Thermal Signature

Análise de Imagens Termográficas para a Classificação de Alterações nas Mamas

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