scholarly journals Point-of-care infrared thermal imaging for differentiating venomous snakebites from non-venomous and dry bites

2021 ◽  
Vol 15 (2) ◽  
pp. e0008580
Author(s):  
Paramasivam Sabitha ◽  
Chanaveerappa Bammigatti ◽  
Surendran Deepanjali ◽  
Bettadpura Shamanna Suryanarayana ◽  
Tamilarasu Kadhiravan
Keyword(s):  
Thermal Imaging ◽  
Infrared Imaging ◽  
Hot Spot ◽  
Point Of Care ◽  
Kappa Statistic ◽  
Ambient Conditions ◽  
Infrared Thermal Imaging ◽  
Thermal Images ◽  
Thermal Changes ◽  
Infrared Thermal Images

Background Local envenomation following snakebites is accompanied by thermal changes, which could be visualized using infrared imaging. We explored whether infrared thermal imaging could be used to differentiate venomous snakebites from non-venomous and dry bites. Methods We prospectively enrolled adult patients with a history of snakebite in the past 24 hours presenting to the emergency of a teaching hospital in southern India. A standardized clinical evaluation for symptoms and signs of envenomation including 20-minute whole-blood clotting test and prothrombin time was performed to assess envenomation status. Infrared thermal imaging was done at enrolment, 6 hours, and 24 hours later using a smartphone-based device under ambient conditions. Processed infrared thermal images were independently interpreted twice by a reference rater and once by three novice raters. Findings We studied 89 patients; 60 (67%) of them were male. Median (IQR) time from bite to enrolment was 11 (6.5–15) hours; 21 (24%) patients were enrolled within 6 hours of snakebite. In all, 48 patients had local envenomation with/without systemic envenomation, and 35 patients were classified as non-venomous/dry bites. Envenomation status was unclear in six patients. At enrolment, area of increased temperature around the bite site (Hot spot) was evident on infrared thermal imaging in 45 of the 48 patients with envenomation, while hot spot was evident in only 6 of the 35 patients without envenomation. Presence of hot spot on baseline infrared thermal images had a sensitivity of 93.7% (95% CI 82.8% to 98.7%) and a specificity of 82.9% (66.3% to 93.4%) to differentiate envenomed patients from those without envenomation. Interrater agreement for identifying hot spots was more than substantial (Kappa statistic >0.85), and intrarater agreement was almost perfect (Kappa = 0.93). Paradoxical thermal changes were observed in 14 patients. Conclusions Point-of-care infrared thermal imaging could be useful in the early identification of non-venomous and dry snakebites.

scholarly journals Smartphone-based infrared thermal imaging for differentiating venomous snakebites from non-venomous and dry bites

2020 ◽  
Author(s):  
Paramasivam Sabitha ◽  
Chanaveerappa Bammigatti ◽  
Surendran Deepanjali ◽  
Bettadpura Shamanna Suryanarayana ◽  
Tamilarasu Kadhiravan
Keyword(s):  
Thermal Imaging ◽  
Infrared Imaging ◽  
Hot Spot ◽  
Body Part ◽  
Night Vision ◽  
Care Providers ◽  
Infrared Thermal Imaging ◽  
Thermal Images ◽  
Thermal Changes ◽  
Infrared Thermal Images

AbstractBackgroundLocal envenomation following snakebites is accompanied by thermal changes, which could be visualized using infrared imaging. We explored whether infrared thermal imaging could be used to differentiate venomous snakebites from non-venomous and dry bites.MethodsWe prospectively enrolled adult patients with a history of snakebite in the past 24 hours presenting to the emergency of a teaching hospital in southern India. A standardized clinical evaluation for symptoms and signs of envenomation including 20-minute whole-blood clotting test and prothrombin time was performed to assess envenomation status. Infrared thermal imaging was done at enrolment, 6 hours, and 24 hours using a smartphone-based device under ambient conditions. Processed infrared thermal images were independently interpreted twice by a reference rater and once by three novice raters.FindingsWe studied 89 patients; 60 (67%) of them were male. Median (IQR) time from bite to enrolment was 11 (6.5—15) hours; 21 (24%) patients were enrolled within 6 hours of snakebite. In all, 48 patients had local envenomation with/without systemic envenomation, and 35 patients were classified as non-venomous/dry bites. Envenomation status was unclear in six patients. At enrolment, area of increased temperature around the bite site (Hot spot) was evident on infrared thermal imaging in 45 of the 48 patients with envenomation, while hot spot was evident in only 6 of the 35 patients without envenomation. Presence of hot spot on baseline infrared thermal images had a sensitivity of 93.7% (95% CI 82.8% to 98.7%) and a specificity of 82.9% (66.3% to 93.4%) to differentiate envenomed patients from those without envenomation. Interrater agreement for identifying hot spots was more than substantial (Kappa statistic >0.85), and intrarater agreement was almost perfect (Kappa = 0.93). Paradoxical thermal changes were observed in 14 patients.ConclusionsPoint-of-care infrared thermal imaging could be useful in the early identification of non-venomous and dry snakebites.Author summaryMost poisonous snakebites cause swelling of the bitten body part within a few hours if venom had been injected. Usually, health care providers diagnose poisonous snakebites by doing a clinical examination and by testing for incoagulable blood. If no abnormalities are found, then the snakebite is diagnosed as a non-poisonous bite or a dry bite. Swelling of the bitten body part results from venom-induced inflammation and is accompanied by local increase in skin temperature. It is possible to capture visual images of these temperature changes by using infrared imaging, the same technology used in night vision cameras. This study found that most persons with poisonous snakebites had hot areas on infrared images while such changes were observed in only a few persons with non-poisonous or dry snakebites. This new knowledge could help doctors identify non-poisonous and dry snakebites early.

scholarly journals Clinical Trial on the Characteristics of Zheng Classification of Pulmonary Diseases Based on Infrared Thermal Imaging Technology

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Jin-xia Ni ◽  
Si-hua Gao ◽  
Yu-hang Li ◽  
Shi-lei Ma ◽  
Tian Tian ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Pulmonary Disease ◽  
Thermal Imaging ◽  
Relative Temperature ◽  
Infrared Thermal Imaging ◽  
Imaging Technology ◽  
Thermal Images ◽  
Diagnosis Rate ◽  
Infrared Thermal Images

Zheng classification study based on infrared thermal imaging technology has not been reported before. To detect the relative temperature of viscera and bowels of different syndromes patients with pulmonary disease and to summarize the characteristics of different Zheng classifications, the infrared thermal imaging technology was used in the clinical trial. The results showed that the infrared thermal images characteristics of different Zheng classifications of pulmonary disease were distinctly different. The influence on viscera and bowels was deeper in phlegm-heat obstructing lung syndrome group than in cold-phlegm obstructing lung syndrome group. It is helpful to diagnose Zheng classification and to improve the diagnosis rate by analyzing the infrared thermal images of patients. The application of infrared thermal imaging technology provided objective measures for medical diagnosis and treatment in the field of Zheng studies and provided a new methodology for Zheng classification.

Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds

2021 ◽  
pp. 147592172199895
Author(s):  
Li Xin ◽  
Shao Haidong ◽  
Jiang Hongkai ◽  
Xiang Jiawei
Keyword(s):  
Thermal Imaging ◽  
Deep Belief Network ◽  
Time Varying ◽  
Infrared Thermal Imaging ◽  
Thermal Images ◽  
Belief Network ◽  
Rotor Bearing ◽  
Infrared Thermal Images ◽  
The Impact ◽  
Bearing System

The vast majority of the existing diagnostic studies using deep learning techniques for rotating machinery focus on the vibration analysis under steady rotating speed. Nevertheless, the collected vibration signals are sensitive to time-varying speeds and the vibration sensors may cause structure damage of equipment after long-term close contact. Aiming at these aforementioned problems, a modified Gaussian convolutional deep belief network driven by infrared thermal imaging is proposed to automatically diagnose different faults of rotor-bearing system under time-varying speeds. First, infrared thermal images are measured to characterize the working states of rotor-bearing system to reduce the impact of changeable speeds. Second, Gaussian units are used to construct Gaussian convolutional deep belief network to well deal with infrared thermal images. Finally, trackable learning rate is designed to modify the training algorithm to enhance the performance. The comparison results verify the feasibility of the proposed method, which outperforms the other methods.

scholarly journals APPRAISAL OF MOISTURE PROBLEM OF INHERITANCE BUILDING ENVELOPE ASSEMBLIES VIA VISIBLE AND INFRARED THERMOGRAPHY METHODS

2015 ◽  
Vol 75 (5) ◽  
Author(s):  
Ting Siew Jing ◽  
Md Azree Othuman Mydin ◽  
Nangkula Utaberta
Keyword(s):  
Infrared Thermography ◽  
Thermal Imaging ◽  
Building Envelope ◽  
Temporary Reduction ◽  
Infrared Thermal Imaging ◽  
Thermal Images ◽  
Heritage Building ◽  
Moisture Performance ◽  
Infrared Thermal Images ◽  
Wall Assembly

In order to gauge the moisture performance of walls and roofs there is a need to investigate the paths of moisture penetrating into the wall assembly, how long and where the moisture stays, and whether it causes temporary reduction of performance or permanent damage. The non-contact safe nature and usefulness in temperature measurement of infrared thermography have made it a popular instrument for building diagnostics. Hence, this paper depicts a documentation process which makes use of both visible and infrared thermal images to identify moisture anomalies in heritage building envelope assemblies. In sequence to achieve the purpose, visible and infrared thermal images are recorded for comparison and further analysis. It can be concluded that infrared thermal imaging camera is useful for identification of moisture problems in building façade, whereas combination of both visible and infrared thermal imaging methods produces a more advanced, accurate and effective approach for building diagnostics.

Research on Carboform Nondestructive Examination Based on Infrared Thermal Wave

2011 ◽  
Vol 271-273 ◽  
pp. 177-180
Author(s):  
Hai Feng Chang
Keyword(s):  
Edge Detection ◽  
Contrast Enhancement ◽  
Thermal Performance ◽  
Thermal Wave ◽  
Thermal Imaging ◽  
Median Filter ◽  
Performance Difference ◽  
Infrared Thermal Imaging ◽  
Nondestructive Examination ◽  
Infrared Thermal Images

Due to special characteristics of Carboform material, there are many difficulties to exam such material with traditional methods. Infrared thermal imaging technology shoots carboform to obtain infrared thermal images. With variation of time and temperature, the change principle of thermal performance difference of carboform in different temperature can be compared and analyzed. Effective data and reasonable fitting time can be extracted to fit for data with power exponential function. Then, imaging functions were utilized to perform gray change, median filter, fuzzy contrast enhancement, edge detection so as to output images on fitted data. Defects of specimen can be found. Example of some carboform sample based on infrared thermal wave verified feasibility of the proposed method.

scholarly journals Automated processing of thermal imaging to detect COVID-19

2020 ◽  
Author(s):  
Rafael Y. Brzezinski ◽  
Neta Rabin ◽  
Nir Lewis ◽  
Racheli Peled ◽  
Ariel Kerpel ◽  
...  
Keyword(s):  
Image Processing ◽  
Low Income ◽  
Thermal Imaging ◽  
Point Of Care ◽  
Area Under The Curve ◽  
Screening Tools ◽  
Imaging Device ◽  
Thermal Images ◽  
Image Processing Algorithms ◽  
Processing Algorithms

ABSTRACTRapid and sensitive screening tools for SARS-CoV-2 infection are essential to limit the spread of COVID-19 and to properly allocate national resources. Here, we developed a new point-of-care, non-contact thermal imaging tool to detect COVID-19, based on image-processing algorithms and machine learning analysis. We captured thermal images of the back of individuals with and without COVID-19 using a portable thermal camera that connects directly to smartphones. Our novel image processing algorithms automatically extracted multiple texture and shape features of the thermal images and achieved an area under the curve (AUC) of 0.85 in detecting COVID-19 with up to 92% sensitivity. Thermal imaging scores were inversely correlated with clinical variables associated with COVID-19 disease progression. We show, for the first time, that a hand-held thermal imaging device can be used to detect COVID-19. Non-invasive thermal imaging could be used to screen for COVID-19 in out-of-hospital settings, especially in low-income regions with limited imaging resources.

Defects Detection in Concrete Structure with Infrared Thermal Imaging and Numerical Simulation

2011 ◽  
Vol 378-379 ◽  
pp. 345-348
Author(s):  
Hong Guo Xu ◽  
Zhong He Shui ◽  
Bo Chen ◽  
Wei Chen ◽  
Sha Ding
Keyword(s):  
Finite Element ◽  
Temperature Field ◽  
Finite Element Simulation ◽  
Thermal Imaging ◽  
Concrete Structure ◽  
Infrared Imaging ◽  
Imaging Method ◽  
Infrared Thermal Imaging ◽  
Element Simulation ◽  
Nondestructive Testing Method

In this paper, infrared imaging and temperature sensor monitoring equipment are used to detect the defect of concrete. By means of experiment and numerical analysis, a nondestructive testing method for concrete based on infrared thermal imaging and the finite element simulation of temperature field was established. Experimental and simulation results show that infrared thermal imaging method and the finite element simulation of temperature field can effectively detect the defect in the sample. When combining such two methods together, the information of internal concrete structure can be revealed more comprehensively and accurately.

Novel use of infrared thermal imaging to predict arteriovenous fistula patency and maturation

2017 ◽  
Vol 18 (4) ◽  
pp. 313-318 ◽  
Author(s):  
Julien Al Shakarchi ◽  
James Hodson ◽  
Melanie Field ◽  
Nicholas Inston
Keyword(s):  
Positive Predictive Value ◽  
Arteriovenous Fistula ◽  
Negative Predictive Value ◽  
Thermal Imaging ◽  
Predictive Value ◽  
The Novel ◽  
Infrared Thermal Imaging ◽  
Functional Maturation ◽  
Thermal Changes ◽  
Haemodynamic Changes

Objective The arteriovenous fistula (AVF) is the preferred method of long-term haemodialysis. However, it has been shown to have a substantial rate of maturation failure. The formation of an AVF creates haemodynamic changes to blood flow in the arm with diversion of blood away from the distal circulation into the low pressure venous system, in turn, leading to thermal changes distally. In this study, we aimed to assess the novel use of infrared thermal imaging as a predictor of arteriovenous maturation. Methods A prospective cohort study was conducted on 100 consecutive patients who had AVF formation from December 2015 to June 2016. Infrared thermal imaging was undertaken pre- and post-operatively on the day of surgery to assess thermal changes to the arms and to assess them as predictors of clinical patency and functional maturation. Results For clinical patency, infrared thermal imaging was found to have a positive predictive value of 88% and a negative predictive value of 86%. For functional maturation, it was found to have a positive predictive value of 84%, a negative predictive value of 95%. In addition, it was shown to have superiority to the commonly used intra-operative predictor of thrill as well as other independent pre-operative patient factors. Conclusions Infrared thermal imaging has been found to be a very useful tool in accurately predicting fistula patency and maturation.

scholarly journals WATER LEAKAGE DIAGNOSIS IN METRO TUNNELS BY INTERGRATION OF LASER POINT CLOUD AND INFRARED THERMAL IMAGING

2018 ◽  
Vol XLII-3 ◽  
pp. 2167-2171
Author(s):  
P. Yu ◽  
H. Wu ◽  
C. Liu ◽  
Z. Xu
Keyword(s):  
Distance Function ◽  
Thermal Imaging ◽  
Point Cloud ◽  
Laser Scanning ◽  
Water Leakage ◽  
Infrared Thermal Imaging ◽  
Centroid Distance ◽  
Metro Tunnel ◽  
Infrared Thermal Images ◽  
Centroid Distance Function

Diagnosis of water leakage in metro tunnels is of great significance to the metro tunnel construction and the safety of metro operation. A method that integrates laser scanning and infrared thermal imaging is proposed for the diagnosis of water leakage. The diagnosis of water leakage in this paper is mainly divided into two parts: extraction of water leakage geometry information and extraction of water leakage attribute information. Firstly, the suspected water leakage is obtained by threshold segmentation based on the point cloud of tunnel. And the real water leakage is obtained by the auxiliary interpretation of infrared thermal images. Then, the characteristic of isotherm outline is expressed by solving Centroid Distance Function to determine the type of water leakage. Similarly, the location of leakage silt and the direction of crack are calculated by finding coordinates of feature points on Centroid Distance Function. Finally, a metro tunnel part in Shanghai was selected as the case area to make experiment and the result shown that the proposed method in this paper can be used to diagnosis water leakage disease completely and accurately.

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