scholarly journals Automatic Mobile Warning System against People with Elevated Body Temperature

2021 ◽  
Vol 11 (11) ◽  
pp. 4721
Author(s):  
Mariusz Marzec ◽  
Sławomir Wilczyński

The paper proposes a system that allows for the automatic detection of people with elevated body temperature and estimates distance from them using a smartphone-type device and a single mobile thermal camera. The algorithm automatically finds and selects humans with the highest temperature, and tracks changes in their position in an image sequence. On the basis of the change in the position of the human head in the image, in subsequent frames, the algorithm estimates the distance between camera and human. Owing to the use of fast machine-learning methods, the proposed system can immediately alert the user about the presence of a people with an elevated temperature at a distance of 1–3 m as soon as it appears in the field of view of the camera. The effectiveness of the algorithm was assessed as the ratio of correct distance classifications in the test image set to the total number of test images. Values ranging from 73% to 100% were obtained for over 4000 images of humans at different distances. The proposed method allows for the quick and completely automatic warning aboutt people with elevated temperature, and can be used in popular Android mobile devices.

2021 ◽  
Vol 129 ◽  
pp. 02015
Author(s):  
Katerina Prihodova

Research background: Globalization has both positive and negative consequences. For more than a year, the whole world has been feeling very strongly about one of the negative consequences of globalization. And that is the rapid spread of infectious diseases. Within a few months of the first COVID-19 diseases, a pandemic occurred. The most common symptoms of this disease are fever, muscle aches, fatigue, loss of appetite and difficulty breathing. Therefore, it is essential to control body temperature reliably. If the process of temperature monitoring takes place in closed spaces, and simultaneously, the identification of a person is necessary, we propose a low-cost solution. This consists of using a mobile device in combination with a thermal camera for capturing people and subsequent evaluation using classification methods. Purpose of the article: The aim of this article is to create a model of a system for self-shooting. Follows recognition of elevated body temperature of persons and their identification to reduce the global impact of COVID-19 on the economy and society. Methods: A mobile device (tablet) combined with a thermal camera is used as a sensor. This is followed by face detection in both visible and thermal images. Methods of artificial intelligence (convolutional neural networks) are used for subsequent classifications of individual persons. Findings & Value added: The proposed model of self-sensing and subsequent identification of persons and their classification into groups (increased body temperature, normal temperature). In places where it is necessary to identify people, the system also detects elevated body temperature. This will help fight the spread of infectious diseases, which are characterized by fever.


2020 ◽  
Vol 16 (1) ◽  
pp. 4-12
Author(s):  
Vandana Garg ◽  
Rohit Dutt

Background: Fever, is known as pyrexia, may occur due to infection, inflammation, or any tissue damage and disease states. Normally, the infected or damaged tissue initiates the enhanced formation of pro-inflammatory mediators like cytokines which further increases the synthesis of prostaglandin E2 (PgE2) near the hypothalamic area and thereby trigger the hypothalamus to elevate the body temperature. Objective: Antipyretics are the agents which reduce the elevated body temperature. The most commonly used antipyretic agent, paracetamol, may be fatal due to its side effects. Methods: In this review paper, Chemical Abstracts, Google Scholar, PubMed, and Science Direct were the sources for the published article to collect information regarding antipyretic activity. Results: This review compiles the antipyretic plants that may be useful to treat fever due to various diseases. Conclusion: These medicinal plants could be good alternatives for traditional allopathic antipyretics.


2005 ◽  
Vol 05 (01) ◽  
pp. 165-190 ◽  
Author(s):  
E. Y. K. NG ◽  
COLIN CHONG ◽  
G. J. L. KAW

Severe Acute Respiratory Syndrome (SARS) is a highly infectious disease caused by a coronavirus. Screening to detect potential SARS infected subject with elevated body temperature plays an important role in preventing the spread of SARS. The use of infrared (IR) thermal imaging cameras has thus been proposed as a non-invasive, speedy, cost-effective and fairly accurate means for mass blind screening of potential SARS infected persons. Infrared thermography provides a digital image showing temperature patterns. This has been previously utilized in the detection of inflammation and nerve dysfunctions. It is believed that IR cameras may potentially be used to detect subjects with fever, the cardinal symptom of SARS and avian influenza. The accuracy of the infrared system can, however, be affected by human, environmental, and equipment variables. It is also limited by the fact that the thermal imager measures the skin temperature and not the body core temperature. Thus, the use of IR thermal systems at various checkpoints for mass screening of febrile persons is scientifically unjustified such as what is the false negative rate and most importantly not to create false sense of security. This paper aims to study the effectiveness of infrared systems for its application in mass blind screening to detect subjects with elevated body temperature. For this application, it is critical for thermal imagers to be able to identify febrile from normal subjects accurately. Minimizing the number of false positive and false negative cases improves the efficiency of the screening stations. False negative results should be avoided at all costs, as letting a SARS infected person through the screening process may result in potentially catastrophic results. Hitherto, there is lack of empirical data in correlating facial skin with body temperature. The current work evaluates the correlations (and classification) between the facial skin temperatures to the aural temperature using the artificial neural network approach to confirm the suitability of the thermal imagers for human temperature screening. We show that the Train Back Propagation and Kohonen self-organizing map (SOM) can form an opinion about the type of network that is better to complement thermogram technology in fever diagnosis to drive a better parameters for reducing the size of the neural network classifier while maintaining good classification accuracy.


Author(s):  
Joerg Schieferdecker ◽  
Bodo Forg ◽  
Marion Simon ◽  
Wilhelm Leneke ◽  
Michael Schnorr ◽  
...  

2008 ◽  
Vol 62 (1-2) ◽  
pp. 105-110
Author(s):  
Filip Spasojevic ◽  
Djordje Uzelac ◽  
Zlatko Milosavljevic ◽  
Ivan Vujanac

Malignant catarrhal fever is a disease of cattle and other ruminants, which most often has a lethal outcome. The disease occurs sporadically and is very difficult to control. At a private mini cattle farm, the occurrence of malignant catarrhal fever was suspected on the grounds of anaemnestic data and results of clinical examinations. The owner said that, in addition to cattle, he also breeds sheep in a separate facility, but said these animals had not been in contact with the diseased cow. In the course of the disease, the characteristic symptoms developed so that the clinical diagnosis set earlier was subsequently confirmed. In addition to constantly elevated body temperature, changes in the eyes were observed very soon (congested blood vessels and capillaries of the white sclera with keratitis on both sides). In addition to photofobia and a copious discharge from the nasal cavities, the discharge was at first seromucous and later became mucopurrulent. In the later course of the disease, there was progressive loss of weight and exhaustion of the animal. Since therapy included, in addition to other medicines, also a glucocorticosteroid preparation, the animal aborted its fetus on the fifth day. A pathological-anatomical examination did not reveal any changes on the fetus. In spite of the applied therapy, the medical condition deteriorated from day to day, and the animal expired on the eighth day of the disease.


2021 ◽  
pp. 1-4
Author(s):  
Tripat Kaur ◽  
Chenni S. Sriram ◽  
Utkarsh Kohli

Abstract Hyperthermia is defined as an elevated body temperature above the normal range due to a failure of heat regulatory mechanisms. In addition to its effects on other organ systems, hyperthermia is associated with profound cardiovascular effects. We report the sentinel case of a 6-year-old girl with structurally and electrically normal heart, who presented with life-threatening hyperpyrexia-induced ventricular tachycardia, which was refractory to cardioversion and anti-arrhythmics but responded promptly to cooling. We emphasise the lifesaving role of immediate and aggressive cooling in such patients.


2019 ◽  
Vol 2019 ◽  
pp. 1-5 ◽  
Author(s):  
John Eliveha ◽  
Shravani Vindhyal ◽  
Mohinder Vindhyal

Drug abuse is an increasing concern all over the world especially in the United States. Methamphetamine have been well established to cause elevated body temperature, irregular heartbeat, seizures, and heart disease. We present a case of ventricular thrombus with systemic emboli in a patient with dilated cardiomyopathy after methamphetamine use.


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