Academic literature on the topic 'Automatic fever screening'
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Journal articles on the topic "Automatic fever screening"
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Perpetuini, David, Chiara Filippini, Daniela Cardone, and Arcangelo Merla. "An Overview of Thermal Infrared Imaging-Based Screenings during Pandemic Emergencies." International Journal of Environmental Research and Public Health 18, no. 6 (March 22, 2021): 3286. http://dx.doi.org/10.3390/ijerph18063286.
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Infrared thermal imaging (IRI) is a contact-less technology able to monitor human skin temperature for biomedical applications and in real-life contexts. Its capacity to detect fever was exploited for mass screening during past epidemic emergencies as well as for the current COVID-19 pandemic. However, the only assessment of fever may not be selective for the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. Hence, novel approaches for IRI data analysis have been investigated. The present review aims to describe how IRI have been employed during the last epidemics, highlighting the potentialities and the limitations of this technology to contain the contagions. Specifically, the methods employed for automatic face recognition and fever assessment and IRI’s performances in mass screening at airports and hospitals are reviewed. Moreover, an overview of novel machine learning methods for IRI data analysis, aimed to identify respiratory diseases, is provided. In addition, IRI-based smart technologies developed to support the healthcare during the COVID-19 pandemic are described. Finally, relevant guidelines to fully exploit IRI for COVID-19 identification are defined, to improve the effectiveness of IRI in the detection of the SARS-CoV-2 infection.
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Hakim, Muhammad Hanifuddin, Rudi Irmawanto, and Poniman Poniman. "Rancang Bangun Wastafel dan Portal Otomatis dengan Mempertimbangkan Antropometri Guna Mencegah Penularan COVID19." RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) 4, no. 1 (May 22, 2021): 29. http://dx.doi.org/10.24853/resistor.4.1.29-36.
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Coronavirus yang merajalela pada tahun 2019 (Covid19) mempunyai karakteristik mudah menular, sehingga menjadikan virus ini sangat berbahaya. Meskipun Vaksin sudah ditemukan, protokol kesehatan masih harus diterapkan setidaknya selama 4 tahun kedepan. Salah satu protokol kesehatan yaitu selalu mencuci tangan dengan air mengalir dan sabun. Akan tetapi pada saat mencuci tangan, orang akan tetap menyentuh keran air dan botol sabun, padahal hal ini sangat berpotensi menjadi salah satu media penularan virus. Oleh karena itu penelitian ini bertujuan untuk menghindari sentuhan fisik saat mencuci tangan. Alat ini dilengkapi dengan portal pendeteksi suhu yang berfungi melakukan screening untuk memastikan orang yang akan masuk tidak sedang mengalami demam. Pengembangan teknologi dalam penelitian ini menggunakan metode rancang bangun (research and development). Desain yang dibuat mempertimbangkan Antropometri orang Indonesia. Sehingga Teknologi Tepat Guna (TTG) tersebut dapat memberikan rasa nyaman dan aman saat digunakan. Dari hasil pengujian alat, menunjukkan sensor MLX90614 (temperatur) memiliki tingkat kesalahan rata-rata pengukuran sebesar 0.213ºC atau sekitar 0.58%, sedangkan sensor PIR (jarak) memiliki tingkat sukses 90%. Secara keseluruhan sistem otomatis pada wastafel dan portal dapat berjalan dengan baik.The Coronavirus spread in early 2019 (Covid19) has characteristics of being easily transmitted, making this virus very dangerous. Even though the vaccines has been found, health protocols still have to be implemented for at least the next 4 years. One of the health protocols is washing hands with running water and soap. However, when washing hands, people still touch the water tap and soap bottles, even though this could potentially be a virus transmission media. Therefore, this study aims to avoid physical touch when washing hands. This tool is equipped with a temperature detector portal that functions to ensure that people who enter, do not have a fever. The technology development in this research uses research and development methods. The sink design is made considering Indonesian Anthropometry. Thus Appropriate Technology (TTG) can provide a sense of comfort and safety when used. From the test results, it shows that the MLX90614 sensor (temperature) has an average measurement error rate of 0.213ºC or about 0.58%. while the PIR (distance) sensor has a success rate of 90%. Overall the automatic system on the sink and portal can work well.
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Edwards, Timothy L. "Automated Canine Scent-Detection Apparatus: Technical Description and Training Outcomes." Chemical Senses 44, no. 7 (June 12, 2019): 449–55. http://dx.doi.org/10.1093/chemse/bjz039.
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Abstract To date, laboratory scent-detection work with dogs has been a manual process whereby some or all aspects of the procedures are mediated by researchers. Automation of this process would eliminate issues associated with cuing, subjectivity in data collection, and reinforcement delivery. Herein, I describe an automated apparatus that can accommodate almost any type of sample that can be brought into the laboratory. The apparatus consists of a 17-segment carousel that rotates behind a panel. Dogs can access a single sample at a time through a port in the panel. Infrared beams are used to detect sample observations and indications, and a dog-activated switch is used to advance the carousel to the next sample. Correct indications are reinforced with an automated feeder. After screening 12 dogs, 5 dogs were selected and trained to use the apparatus to classify samples containing amyl acetate. All dogs achieved hit rates and correct rejection rates at or near 100% in fewer than 25 half-days of training (mean: 19.6, range: 12–24). These data suggest that the apparatus can be used to obtain accurate sample classification without excessive training requirements. Future improvements to the apparatus and training protocols may reduce the training requirements further.
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Ortiz, Daniel A., and Michael J. Loeffelholz. "Evaluation of the Lumipulse G TP-N Chemiluminescent Immunoassay as a Syphilis Screening Test." Journal of Clinical Microbiology 55, no. 11 (September 6, 2017): 3236–41. http://dx.doi.org/10.1128/jcm.00966-17.
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ABSTRACTA syphilis diagnosis is often aided by the detection of treponemal and nontreponemal antibodies. Automated treponemal antibody detection systems enable high-volume clinical laboratories to perform syphilis screening at a faster pace with lower labor costs. The Lumipulse G TP-N chemiluminescent immunoassay is an automated system that qualitatively detects IgG and IgM antibodies againstTreponema pallidumantigens in human serum and plasma. To assess performance characteristics and workflow efficiency, the Lumipulse G TP-N assay was compared to the Bioplex 2200 Syphilis IgG multiplex flow immunoassay. Among the 4,134 routine and HIV samples tested by the two automated assays, the percentage of agreement was excellent at 99.0% (95% confidence interval [CI], 98.6% to 99.2%; κ, 0.89), with the Lumipulse G TP-N having a shorter time to first and subsequent results. All specimens with reactive syphilis screening results were further tested by rapid plasma reagin (RPR) andTreponema pallidumparticle agglutination (TP·PA) testing (n= 231). The results from the RPR-reactive samples (n= 82) showed complete concordance with the two automated assays, while the TP·PA assay displayed some discrepancies. The positive percent agreement (PPA) and negative percent agreement (NPA) between the TP·PA test and the Lumipulse G TP-N test were 98.9% and 77.3%, respectively. The Bioplex 2200 Syphilis IgG immunoassay displayed a similar PPA (100%) but a substantially lower NPA (15.9%). Patient chart reviews of discrepant results suggested that the Lumipulse G TP-N assay produced 27 fewer falsely reactive results and can reduce the amount of additional confirmatory RPR and TP·PA testing needed. The analogous performance characteristics of the two automated systems indicate that the Lumipulse G TP-N assay is suitable for high-throughput syphilis screening.
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Zhao, Oliver S., Nikhil Kolluri, Anagata Anand, Nicholas Chu, Ravali Bhavaraju, Aditya Ojha, Sandhya Tiku, et al. "Convolutional neural networks to automate the screening of malaria in low-resource countries." PeerJ 8 (August 4, 2020): e9674. http://dx.doi.org/10.7717/peerj.9674.
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Malaria is an infectious disease caused by Plasmodium parasites, transmitted through mosquito bites. Symptoms include fever, headache, and vomiting, and in severe cases, seizures and coma. The World Health Organization reports that there were 228 million cases and 405,000 deaths in 2018, with Africa representing 93% of total cases and 94% of total deaths. Rapid diagnosis and subsequent treatment are the most effective means to mitigate the progression into serious symptoms. However, many fatal cases have been attributed to poor access to healthcare resources for malaria screenings. In these low-resource settings, the use of light microscopy on a thin blood smear with Giemsa stain is used to examine the severity of infection, requiring tedious and manual counting by a trained technician. To address the malaria endemic in Africa and its coexisting socioeconomic constraints, we propose an automated, mobile phone-based screening process that takes advantage of already existing resources. Through the use of convolutional neural networks (CNNs), we utilize a SSD multibox object detection architecture that rapidly processes thin blood smears acquired via light microscopy to isolate images of individual red blood cells with 90.4% average precision. Then we implement a FSRCNN model that upscales 32 × 32 low-resolution images to 128 × 128 high-resolution images with a PSNR of 30.2, compared to a baseline PSNR of 24.2 through traditional bicubic interpolation. Lastly, we utilize a modified VGG16 CNN that classifies red blood cells as either infected or uninfected with an accuracy of 96.5% in a balanced class dataset. These sequential models create a streamlined screening platform, giving the healthcare provider the number of malaria-infected red blood cells in a given sample. Our deep learning platform is efficient enough to operate exclusively on low-tier smartphone hardware, eliminating the need for high-speed internet connection.
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Manuel, Kevin, Marie Moses Ambroise, Anita Ramdas, and Renu G'Boy Varghese. "Pseudobasophilia as a Screening Tool in Dengue: A Single Center Study." Journal of Laboratory Physicians 13, no. 02 (June 2021): 156–61. http://dx.doi.org/10.1055/s-0041-1730849.
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Abstract Objectives Proper serological testing for the definite diagnosis of dengue is costly and may not be easily available in a resource-limited setting. Hematological parameters can help in the early identification of dengue cases. This study aims to evaluate the occurrence and utility of pseudobasophilia in identifying dengue-affected patients. Materials and Methods This retrospective cross-sectional study included 1,304 dengue cases confirmed by serology and 1,044 dengue serology negative acute febrile illness cases as controls. Complete blood count (CBC) values of the first EDTA (ethylenediamine tetraacetic acid) blood sample from automated hematology analyzers were reviewed. The hematological parameters in the dengue and control groups were compared and the variation of these parameters with the day of fever was also analyzed. Statistical Analysis Mann-Whitney’s test, Kruskal-Wallis test, and Fisher’s exact test were used for statistical analysis. A p-value < 0.05 was considered statistically significant for all tests. Results There was a statistically significant variation between dengue cases and controls for hematocrit, platelet count, mean platelet volume, total white blood cell count, and absolute basophil count. The dengue group had a higher hematocrit from day 2 to day 10, platelet count ≤ 100,000/µL from day 4 to day 9, higher mean platelet volume from day 2 to day 7, leucopenia from day 3 to day 5, and higher absolute basophil count from day 2 to day 10. Interestingly, pseudobasophilia was seen in 533 (40.87%) of dengue cases and only 3 (0.28%) of the controls. Pseudobasophilia was also observed to have an increasing trend to the day of fever. Conclusion Pseudobasophilia along with other CBC parameters is useful and cost effective for the early identification of dengue. This can prompt early investigations and supportive treatment leading to improved clinical outcomes.
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Mardovina, Tatsiana, John G. Chromczak, and Paul W. Riley. "Comparison of Two Different ELISA Methods for Heparin-Induced Thrombocytopenia (HIT) Screening on an Automated ELISA Platform." Blood 134, Supplement_1 (November 13, 2019): 4935. http://dx.doi.org/10.1182/blood-2019-125293.
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BACKGROUND: Heparin-induced thrombocytopenia (HIT) is an adverse complication of unfractionated and low molecular weight heparin caused by antibodies recognizing platelet factor 4-heparin (PF4/hep) complexes leading to platelet activation. The diagnosis of HIT is based on the combination of the clinical picture, using the 4T score along with screening and confirmatory methods to detect platelet activating anti‐PF4/H antibodies. OBJECTIVES: Performance was evaluated for two enzyme linked immunosorbent assays (ELISAs), 1) Asserachrom HPIA , Diagnostica Stago Inc., Parsippany, NJ, USA and 2) LIFECODES PF4 Enhanced, Immucor, Inc., Norcross, GA, USA for screening-based detection of PF4/hep antibodies. METHODS: ELISA assays were run per manufacturer recommendations and adapted for automation on a Dynex DS2 automated ELISA platform. Performance characteristics of the two immunoassays were assessed, including sensitivity, specificity, concordance with serotonin release assay (SRA), positive predictive value (PPV) and negative predictive value (NPV). 21 samples were used in the study. Results: Both assays, Asserachrom HPIA and LIFECODES PF4 Enhanced demonstrated 100% sensitivity and NPV, confirming both assays' reliability to detect and rule out HIT (see table). The diagnostic specificity was significantly higher for Asserachrom HPIA vs. LIFECODES PF4 Enhanced (77.8% vs 31.6%). Asserachrom HPIA showed fewer false positive results, with PPV of 42.9% for Asserachrom HPIA vs. 13.3% for LIFECODES PF4 Enhanced. No false negative results were found for either assay. Asserachrom HPIA demonstrated 81.0% concordance with SRA, vs. 38.1% for LIFECODES PF4 Enhanced. CONCLUSIONS: HIT is a life-threatening disorder, with diagnosis depending on clinical findings using the 4T score along with laboratory evaluation. Combining the 4T score with PF4/hep antibody screening increases the accuracy of excluding HIT. Our observations indicate Asserachrom HPIA provides results with high sensitivity and specificity, minimizing false positivess, allowing use of alternative anticoagulants more selectively in at risk patients, to potentially improve patient management while minimizing costs. Disclosures Mardovina: Diagnostica Stago, Inc.: Employment. Chromczak:Diagnostica Stago, Inc.: Employment. Riley:Diagnostica Stago, Inc.: Employment.
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Uchida, Akiko, Kenji Tanimura, Mayumi Morizane, Kazumichi Fujioka, Ichiro Morioka, Masanobu Oohashi, Toshio Minematsu, and Hideto Yamada. "Clinical Factors Associated With Congenital Cytomegalovirus Infection: A Cohort Study of Pregnant Women and Newborns." Clinical Infectious Diseases 71, no. 11 (December 2, 2019): 2833–39. http://dx.doi.org/10.1093/cid/ciz1156.
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Abstract Background The aim of this prospective cohort study was to determine clinical factors associated with the occurrence of congenital cytomegalovirus infection (cCMV) in pregnant women. Methods Between March 2009 and November 2017, newborns born at a primary maternity hospital received polymerase chain reaction (PCR) analyses for CMV DNA in their urine with informed consent of the mothers at a low risk. Clinical data, including age, gravidity, parity, body mass index, occupation, maternal fever/flulike symptoms, pregnancy complications, gestational weeks at delivery, birth weight, and automated auditory brainstem response, were collected. Logistic regression analyses were performed to determine clinical factors associated with cCMV. Results cCMV was diagnosed by positive PCR results of neonatal urine in 9 of 4125 pregnancies. Univariate and multivariable analyses revealed that the presence of fever/flulike symptoms (odds ratio [OR], 17.9; 95% confidence interval [CI], 3.7–86.7; P < .001) and threatened miscarriage/premature labor in the second trimester (OR, 6.0; 95% CI, 1.6–22.8; P < .01) were independent clinical factors associated with cCMV. Maternal fever/flulike symptoms or threatened miscarriage/premature labor in the second trimester had 100% sensitivity, 53.2% specificity, and a maximum Youden index of .85. Conclusions This cohort study for the first time demonstrated that these clinical factors of pregnant women and newborns were associated with the occurrence of cCMV. This is useful information for targeted screening to assess risks of cCMV in low-risk mothers, irrespective of primary or nonprimary CMV infection.
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Wang, Yanli, Tiejun Cheng, and Stephen H. Bryant. "PubChem BioAssay: A Decade’s Development toward Open High-Throughput Screening Data Sharing." SLAS DISCOVERY: Advancing the Science of Drug Discovery 22, no. 6 (January 13, 2017): 655–66. http://dx.doi.org/10.1177/2472555216685069.
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High-throughput screening (HTS) is now routinely conducted for drug discovery by both pharmaceutical companies and screening centers at academic institutions and universities. Rapid advance in assay development, robot automation, and computer technology has led to the generation of terabytes of data in screening laboratories. Despite the technology development toward HTS productivity, fewer efforts were devoted to HTS data integration and sharing. As a result, the huge amount of HTS data was rarely made available to the public. To fill this gap, the PubChem BioAssay database ( https://www.ncbi.nlm.nih.gov/pcassay/ ) was set up in 2004 to provide open access to the screening results tested on chemicals and RNAi reagents. With more than 10 years’ development and contributions from the community, PubChem has now become the largest public repository for chemical structures and biological data, which provides an information platform to worldwide researchers supporting drug development, medicinal chemistry study, and chemical biology research. This work presents a review of the HTS data content in the PubChem BioAssay database and the progress of data deposition to stimulate knowledge discovery and data sharing. It also provides a description of the database’s data standard and basic utilities facilitating information access and use for new users.
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Benekohal, Rahim F., Yoassry M. El-Zohairy, and Stanley Wang. "Truck Travel Time Around Weigh Stations: Effects of Weigh in Motion and Automatic Vehicle Identification Systems." Transportation Research Record: Journal of the Transportation Research Board 1716, no. 1 (January 2000): 135–43. http://dx.doi.org/10.3141/1716-16.
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Weigh in motion (WIM) technology may provide an efficient and cost-effective complement to static weighing. An evaluation of the effectiveness of an automated bypass system around a weigh station in Illinois is presented. The system combines the use of automatic vehicle identification (AVI), high-speed weigh in motion (HSWIM), and low-speed weigh in motion (LSWIM) technologies to facilitate preclearance for trucks at the weigh station. The preinstallation conditions were compared with post-installation conditions of WIM/AVI so that the effects and benefits of the system could be evaluated. During preinstallation, average delay was 4.9 min/truck, and 7 percent of trucks had delays of more than 10 min. The station was intermittently closed to prevent the truck queue from backing up onto the Interstate highway, allowing 15 to 51 percent of trucks to bypass the station without being weighed. In postinstallation, the delay for trucks equipped with transponder and allowed to bypass on the freeway was reduced by 4.17 min. The delay for trucks equipped with transponders and allowed to bypass inside the weigh station was reduced by 2.02 min. The delay for trucks that reported to the weigh station decreased by 1.25 min. On the other hand, less than 1 percent of trucks that have been observed in after-study were able to bypass on the freeway. With greater numbers of trucks being checked, fewer trucks on the road may exceed the allowable weight limits. Consequently, electronic screening minimizes road deterioration and risks to public safety and levels the playing field for illegally operating carriers and carriers who operate in compliance with the law.
Dissertations / Theses on the topic "Automatic fever screening"
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Surabhi, Vijaykumar. "Automatic Features Identification with Infrared Thermography in Fever Screening." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/20558.
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The goal of this thesis is to develop an algorithm to process infrared images and achieve automatic identification of moving subjects with fever. The identification is based on two main features: the distinction between the geometry of a human face and other objects in the field of view of the camera, and the temperature of the radiating object. Infrared thermography is a remote sensing technique used to measure temperatures based on emitted infrared radiation. Applications include fever screening in major public places such as airports and hospitals. Current accepted practice of screening requires people to stay in a line and temperature measurements are carried out for one person at a time. However in the case of mass screening of moving people the accuracy of the measurements is still under investigation. An algorithm constituting of image processing to threshold objects based on the temperature, template matching and hypothesis testing is proposed to achieve automatic identification of fever subjects. The algorithm was first tested on training data to obtain a threshold value (used to discriminate between face and non face shapes) corresponding to a false detection rate of 5%, which in turn corresponds to 85% probability of detection using Neyman-Pearson criterion. By testing the algorithm on several simulated and experimental images (which reflect relevant scenarios characterizing crowded places) it is observed that it can be beneficially implemented to introduce automation in the process of detecting moving subjects with fever.
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Roman, Matej. "Automatizované měření teploty v boji proti COVID." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442439.
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This thesis focuses on the development of an open source software capable of automatic face detection in an image captured by a thermal camera, followed by a temperature measuring. This software is supposed to aid in the COVID-19 pandemics. The developed software is independent of used thermal camera. In this thesis, I am using TIM400 thermal camera. The implementation of the face detection was achieved by an OpenCV module. The methods tested were Template Matching, Eigen Faces, and Cascade Classifier. The last-mentioned had the best results, hence was used in the final version of the software. Cascade Classifier is looking for the eyes and their surrounding area in the image, allowing the software to subsequently measure the temperature on the surface of one's forehead. One can therefore be wearing a face mask or a respirator safely. The temperature measuring works in real time and the software is able to capture several people at once. It then keeps a record of the temperature of each measured individual as well as the time of the measurement. The software as a whole is a part of an installation file compatible with the Windows operating system. The functionality of this software was tested – the video recordings are included in this thesis.
Conference papers on the topic "Automatic fever screening"
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Somboonkaew, Armote, Panintorn Prempree, Sirajit Vuttivong, Jutaphet Wetcharungsri, Supanit Porntheeraphat, Sataporn Chanhorm, Prasit Pongsoon, et al. "Mobile-platform for automatic fever screening system based on infrared forehead temperature." In 2017 Opto-Electronics and Communications Conference (OECC) and Photonics Global Conference (PGC). IEEE, 2017. http://dx.doi.org/10.1109/oecc.2017.8114910.
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