scholarly journals Using Thermal Imaging to Monitor Body Temperature of Koalas (Phascolarctos cinereus) in A Zoo Setting

Animals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 1094 ◽  
Author(s):  
Edward Narayan ◽  
Annabella Perakis ◽  
Will Meikle

Non-invasive techniques can be applied for monitoring the physiology and behaviour of wildlife in Zoos to improve management and welfare. Thermal imaging technology has been used as a non-invasive technique to measure the body temperature of various domesticated and wildlife species. In this study, we evaluated the application of thermal imaging to measure the body temperature of koalas (Phascolarctos cinereus) in a Zoo environment. The aim of the study was to determine the body feature most suitable for recording a koala’s body temperature (using coefficient of variation scores). We used a FLIR530TM IR thermal imaging camera to take images of each individual koala across three days in autumn 2018 at the Wildlife Sydney Zoo, Australia. Our results demonstrated that koalas had more than one reliable body feature for recording body temperature using the thermal imaging tool—the most reliable features were eyes and abdomen. This study provides first reported application of thermal imaging on an Australian native species in a Zoo and demonstrates its potential applicability as a humane/non-invasive technique for assessing the body temperature as an index of stress.

Author(s):  
Wai Kit Wong ◽  
Nur Izzati Nadiah Binti Ishak ◽  
Heng Siong Lim ◽  
Jalil bin Md Desa

Some infectious diseases can spread rapidly via a community of human or animals or both, either through airborne particles or viruses. Such rapid spread diseases may become a local, national or international widespread and contagious threat. As a symptom of infection, the body temperature of a disease carrier is higher than normal people. In this chapter, flu detection system using thermal imaging tool and computer vision techniques are discussed. An automatic flu detection method adopting human object extraction algorithm and fuzzy logic based Viola Jones algorithm are also discussed. The proposed system able to capture a thermogram of the human subject, detecting the eye region of the human subject, calculating the pixels values around the detected eye region, converted to temperature readings and further classified the subject's body temperature whether the subject satisfies a flu condition or not. Experimental results also shown that the proposed fuzzy logic based Viola Jones algorithm can trace out flu infectious personal from the input thermal images up to 80% of accuracy.


Lontara ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 69-81
Author(s):  
Usman Umar ◽  
Hasmah Hasmah ◽  
Risnawaty Alyah ◽  
Anita Nur Syam

Gout disease or commonly known as gout arthritis is a disease caused by the accumulation of monosodium urate crystals in the body. Monitoring blood uric acid levels is currently still using invasive techniques by taking blood samples to be included in the test strip, this invasive technique measurement requires money and time to come to health clinics so that many people cannot monitor blood uric acid levels on a regular basis. This study aims to develop a measuring instrument for monitoring blood uric acid levels using sensors by utilizing the absorption and reflectance of infrared rays so that gout sufferers and other individuals can monitor blood uric acid levels regularly and are easy to use. The method of developing non-invasive techniques focuses on monitoring blood uric acid levels using a NIR sensor with an IR LED with a wavelength of 940 nm as a transmitter and a photodiode as a detector at a wavelength of 700-1300 nm and a microcontroller as a minimum system for control. The first stage is measuring uric acid levels with invasive techniques on participants and at the same time measuring voltages with sensors, the results with invasive techniques are correlated with sensor output voltages to obtain non-linear equations in polynomial form, for conversion programs on the microcontroller. The second stage is measuring uric acid levels with invasive techniques and invasive measurements on participants at the same time. Both monitoring results were analyzed by simple ANOVA statistics and calculated SEP and RMSE to determine the accuracy of the prediction equation and its accuracy value.


2018 ◽  
Vol 45 (4) ◽  
pp. 366 ◽  
Author(s):  
Faye Wedrowicz ◽  
Jennifer Mosse ◽  
Wendy Wright ◽  
Fiona E. Hogan

Context Pathogenic infections are an important consideration for the conservation of native species, but obtaining such data from wild populations can be expensive and difficult. Two pathogens have been implicated in the decline of some koala (Phascolarctos cinereus) populations: urogenital infection with Chlamydia pecorum and koala retrovirus subgroup A (KoRV-A). Pathogen data for a wild koala population of conservation importance in South Gippsland, Victoria are essentially absent. Aims This study uses non-invasive sampling of koala scats to provide prevalence and genotype data for C. pecorum and KoRV-A in the South Gippsland koala population, and compares pathogen prevalence between wild koalas and koalas in rescue shelters. Methods C. pecorum and KoRV-A provirus were detected by PCR of DNA isolated from scats collected in the field. Pathogen genetic variation was investigated using DNA sequencing of the C. pecorum ompA and KoRV-A env genes. Key results C. pecorum and KoRV-A were detected in 61% and 27% of wild South Gippsland individuals tested, respectively. KoRV-A infection tended to be higher in shelter koalas compared with wild koalas. In contrast with other Victorian koala populations sampled, greater pathogen diversity was present in South Gippsland. Conclusions In the South Gippsland koala population, C. pecorum is widespread and common whereas KoRV appears less prevalent than previously thought. Further work exploring the dynamics of these pathogens in South Gippsland koalas is warranted and may help inform future conservation strategies for this important population. Implications Non-invasive genetic sampling from scats is a powerful method for obtaining data regarding pathogen prevalence and diversity in wildlife. The use of non-invasive methods for the study of pathogens may help fill research gaps in a way that would be difficult or expensive to achieve using traditional methods.


2020 ◽  
Vol 2 (4) ◽  
pp. 4-10
Author(s):  
Lucia Carichino ◽  
Simone Cassani ◽  
Sergey Lapin ◽  
Alice Verticchio Vercellin

Systemic pathologies such as diabetes and hypertension affect different organs and systems in the body. However, the first signs of these pathologies often emerge as alterations in visual and structural functions in the eye. As a consequence, the ophthalmologist is often the first physician to make a diagnosis of systemic diseases. In fact, the eye represents a unique organ where signs of systemic diseases may be assessed with non-invasive techniques.


2019 ◽  
Vol 6 (2) ◽  
pp. 349 ◽  
Author(s):  
Rajendra Kumar ◽  
Nithin . ◽  
Sudha Rudrappa

Background: The aim of this study is to determine the success rate and safety of a non-invasive technique to obtain clean-catch midstream urine samples in newborns.Methods: Prospective bedside clinical study. After obtaining written informed consent,120 consecutive newborns admitted in NICU with no dehydration, poor feeding, need for immediate urine sample by invasive method  for whom urine collection was advised for various reasons who met the inclusion criteria were included in the study with consent being taken from the parents. After adequate milk intake supra pubic and lumbar para vertebral areas were stimulated in repeated cycles of 30 s until micturition began.Results: Success rate in obtaining a midstream urine sample within 5 min. The success rate was 90%. The mean time taken to collect urine was 64.24s, for males it was 62.55s and for females 65.93s.Conclusions: The technique has been demonstrated to be safe, quick and effective. The discomfort and time consumption usually associated with bag collection methods as well as invasive techniques can be avoided.


2020 ◽  
Vol 32 ◽  
pp. 03029
Author(s):  
Huda Khan ◽  
Anushka Yadav ◽  
Reha Santiago ◽  
Sangita Chaudhari

Melanoma skin cancer is one of the deadliest cancers today, the rate of which is rising exponentially. If not detected and treated early, it will most likely spread to other parts of the body. To properly detect melanoma, a skin biopsy is required. This is an invasive technique which is why the need for a diagnosis system that can eradicate the skin biopsy method arises. It is observed that the proposed method is successfully detecting and correctly classifying the malignant and non-malignant skin cancer. Finally, a neural network is used to classify benign and malignant images from the extracted features. Keywords: Melanoma, non-invasive, skin lesion, neural network.


Impact ◽  
2019 ◽  
Vol 2019 (8) ◽  
pp. 38-40
Author(s):  
Koichi Yamakawa

A person with diabetes mellitus, which is commonly referred to as diabetes and exists in two forms (type 1 and type 2) must inject themselves with insulin to manage their blood sugar level. This is because the disease causes a person's blood sugar level to become too high and insulin, a hormone produced in the pancreas, helps the body to use sugar for energy. In type 1 diabetes the body's immune system attacks and destroys the cells that produce insulin and in type 2 the pancreas is unable to make enough insulin or the insulin it does make doesn't work properly. As such, in both types of the disease, insulin must be injected into the body and injecting becomes an essential part of the daily regimes of people with diabetes. As you can imagine, this, coupled with the need to regularly check blood sugar with finger prick tests, can be inconvenient as well as painful. In addition, there is the risk of infection. However, there is currently no alternative. A Japan-based research team is working on developing a non-invasive technique for measuring blood glucose.


2006 ◽  
Vol 158 (10) ◽  
pp. 331-334 ◽  
Author(s):  
P. D. Warriss ◽  
S. J. Pope ◽  
S. N. Brown ◽  
L. J. Wilkins ◽  
T. G. Knowles

2021 ◽  
Author(s):  
S MURUGESWARI ◽  
Kalpana Murugan ◽  
R. Sundaraprem

Abstract This research deals with continuous surface body temperature measurements in cow using IR based thermometry. Body surface temperatures were estimated contactless utilizing recordings from an IR thermometry fixed at a specific region in the cow. The body surface temperatures were dissected reflectively at two regions: the rectal region (behind the tail) and abdominal region (nearer the stomach) in the cow. The traditional invasive rectal temperature filled in as a kind of perspective temperature and was estimated with a computerized thermometer at the comparing time point. An aggregate of ten cows (Redsindhi, HF cross, Kangayam ) was inspected. The normal most extreme temperatures of the territory of the rectal (mean ± SD: 38.69 ± 0.5°C) and the abdominal region (38.4 ± 0.51°C). The temperatures of these regions in the cow were 95% accurate than the traditional invasive rectal temperature measurements. Notwithstanding, the most extreme temperatures as estimated utilizing IR thermometry expanded with an expansion in cow rectal temperature. These temperature readings are then been communicate to the remote server for continuous monitoring of the condition of cows. This communication is carried out by using Bluetooth/Wifi medium. Since this framework comes out with a non-invasive fashion measuring surface body temperature, will be an alternate way of taking a reading of temperature rather than computing the internal body temperature in an invasive fashion. Subsequently, this IR thermometry shows potential as a marker for consistent temperature estimations in cows.


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