Non-invasive measurement of stress in dairy cows using infrared thermography

2007 ◽  
Vol 92 (3) ◽  
pp. 520-525 ◽  
Author(s):  
M. Stewart ◽  
J.R. Webster ◽  
G.A. Verkerk ◽  
A.L. Schaefer ◽  
J.J. Colyn ◽  
...  
Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3925
Author(s):  
Susanne Demba ◽  
Gundula Hoffmann ◽  
Christian Ammon ◽  
Sandra Rose-Meierhöfer

The aim of this study was to evaluate whether the severity of hyperkeratosis (HK) in the teats of dairy cows can be assessed by a dielectric measurement. The study focused on surveying the occurrence of hyperkeratosis in a total of 241 teats of lactating dairy cows. A scoring system consisting of four categories was used to macroscopically assess the severity of HK. Additionally, the dielectric constant (DC) of all teats with milkability was measured in a double iteration with the MoistureMeterD (Delfin Technologies, Kuopio, Finland) on four different days. The Spearman rank correlation coefficient revealed a negative correlation between the DC and HK score (rs = −0.55 to −0.36). The results of the regression analysis showed that the DC values differed significantly between healthy teat ends (≤2) and teat ends with HK (≥3). Thus, the non-invasive measurement of DC provides a promising method of objectively assessing the occurrence and severity of HK.


2019 ◽  
Vol 6 ◽  
Author(s):  
Travis W. Horton ◽  
Nan Hauser ◽  
Shannon Cassel ◽  
K. Frederika Klaus ◽  
Ticiana Fettermann ◽  
...  

2014 ◽  
Vol 199 (2) ◽  
pp. 281-285 ◽  
Author(s):  
M. Alsaaod ◽  
C. Syring ◽  
J. Dietrich ◽  
M.G. Doherr ◽  
T. Gujan ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A266-A266
Author(s):  
R BUTLER ◽  
B ZACHARAKIS ◽  
D MOORE ◽  
K CRAWFORD ◽  
G DAVIDSON ◽  
...  

2016 ◽  
Vol 9 (10) ◽  
pp. 1075-1081 ◽  
Author(s):  
M. Sathiyabarathi ◽  
S. Jeyakumar ◽  
A. Manimaran ◽  
G. Jayaprakash ◽  
Heartwin A. Pushpadass ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2162
Author(s):  
Mohammad Mamouei ◽  
Subhasri Chatterjee ◽  
Meysam Razban ◽  
Meha Qassem ◽  
Panayiotis A. Kyriacou

Dermal water content is an important biophysical parameter in preserving skin integrity and preventing skin damage. Traditional electrical-based and open-chamber evaporimeters have several well-known limitations. In particular, such devices are costly, sizeable, and only provide arbitrary outputs. They also do not permit continuous and non-invasive monitoring of dermal water content, which can be beneficial for various consumer, clinical, and cosmetic purposes. We report here on the design and development of a digital multi-wavelength optical sensor that performs continuous and non-invasive measurement of dermal water content. In silico investigation on porcine skin was carried out using the Monte Carlo modeling strategy to evaluate the feasibility and characterize the sensor. Subsequently, an in vitro experiment was carried out to evaluate the performance of the sensor and benchmark its accuracy against a high-end, broad band spectrophotometer. Reference measurements were made against gravimetric analysis. The results demonstrate that the developed sensor can deliver accurate, continuous, and non-invasive measurement of skin hydration through measurement of dermal water content. Remarkably, the novel design of the sensor exceeded the performance of the high-end spectrophotometer due to the important denoising effects of temporal averaging. The authors believe, in addition to wellbeing and skin health monitoring, the designed sensor can particularly facilitate disease management in patients presenting diabetes mellitus, hypothyroidism, malnutrition, and atopic dermatitis.


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