Assessment of Low-Cost Infrared Thermography Systems for Medical Screening in Nursing Homes

2021 ◽  
Author(s):  
Bruno Braga ◽  
Gabriel Queiros ◽  
Carlos Abreu ◽  
Sergio Ivan Lopes
Keyword(s):  
Nursing Homes ◽  
Infrared Thermography ◽  
Low Cost ◽  
Medical Screening

Infrared Thermography as a Means of Monitoring and Preventing Sports Injuries

2017 ◽  
pp. 165-198
Author(s):  
Manuel Sillero-Quintana ◽  
Pedro M. Gomez-Carmona ◽  
Ismael Fernández-Cuevas
Keyword(s):  
Infrared Thermography ◽  
Thermal Equilibrium ◽  
Sports Injuries ◽  
Low Cost ◽  
Professional Sports ◽  
Recovery Process ◽  
Non Invasive ◽  
Healthy State ◽  
New Applications ◽  
Contact Recording

Sports injuries are one of the most important problems in sports. Moreover, professional sports injuries lead to a difficult recovery process for the athletes, reduced athletic performance, and large economic costs. Infrared thermography (IRT) is a safe, non-invasive and low-cost technique that allows for the rapid and non-contact recording of Skin Temperature (Tsk). Recent research results have demonstrated new applications for this technique; among them, the monitoring and prevention of sports injuries appears to be one of the most interesting applications. Although IRT is not as objective as other methods, it may be sufficiently accurate and reliable as a complementary tool considering the theory that musculoskeletal structures should be in thermal equilibrium when in a healthy state. Therefore, the main contribution of IRT is to help identify an injury before it occurs, providing an opportunity for preventative action.

Infrared Thermography as a Means of Monitoring and Preventing Sports Injuries

2021 ◽  
pp. 832-865
Author(s):  
Manuel Sillero-Quintana ◽  
Pedro M. Gomez-Carmona ◽  
Ismael Fernández-Cuevas
Keyword(s):  
Infrared Thermography ◽  
Thermal Equilibrium ◽  
Sports Injuries ◽  
Low Cost ◽  
Professional Sports ◽  
Recovery Process ◽  
Non Invasive ◽  
Healthy State ◽  
New Applications ◽  
Contact Recording

Sports injuries are one of the most important problems in sports. Moreover, professional sports injuries lead to a difficult recovery process for the athletes, reduced athletic performance, and large economic costs. Infrared thermography (IRT) is a safe, non-invasive and low-cost technique that allows for the rapid and non-contact recording of Skin Temperature (Tsk). Recent research results have demonstrated new applications for this technique; among them, the monitoring and prevention of sports injuries appears to be one of the most interesting applications. Although IRT is not as objective as other methods, it may be sufficiently accurate and reliable as a complementary tool considering the theory that musculoskeletal structures should be in thermal equilibrium when in a healthy state. Therefore, the main contribution of IRT is to help identify an injury before it occurs, providing an opportunity for preventative action.

scholarly journals Machine Learning and Infrared Thermography for Breast Cancer Detection

Proceedings ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 45 ◽  
Author(s):  
Caroline Gonçalves ◽  
Amanda Leles ◽  
Lucimara Oliveira ◽  
Gilmar Guimaraes ◽  
Juliano Cunha ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Infrared Thermography ◽  
Cancer Detection ◽  
Low Cost ◽  
Breast Cancer Detection ◽  
Support Vector ◽  
Patients With Cancer ◽  
Vector Machines ◽  
Malignant Changes ◽  
Harmful Radiation

Breast cancer kills a large number of women around the world. Infrared thermography is a promising screening technique which does not involve harmful radiation for the patient and has a relatively low cost. This work proposes an approach for classifying patients into three different classes using infrared images: healthy patients, patients with benign changes and patients with cancer (malignant changes). A set of features is extracted from each image and two approaches are used in the classification process. The first is based on Artificial Neural Networks while the second is based on Support Vector Machines. The proposed approach shows a great potential to be used as a screening diagnosis technique for early breast cancer detection.

Applying InfraRed Thermography (IRT) for the protection and conservation of rupestrian CH sites affected by slope instabilities

2020 ◽  
Author(s):  
William Frodella ◽  
Daniele Spizzichino ◽  
Giovanni Gigli ◽  
Mikheil Elashvili ◽  
Claudio Margottini ◽  
...  
Keyword(s):  
Infrared Thermography ◽  
Technological Development ◽  
Low Cost ◽  
Cost Effective ◽  
Structural Features ◽  
Slope Instability ◽  
Conservation Strategies ◽  
Human Society ◽  
Mountainous Regions ◽  
Slope Instabilities

<p>Rupestrian Cultural Heritage (CH) sites were among the first man-made works in the history of humanity, therefore playing a key role in building the memory and roots of human society. These sites were often carved in slopes formed by soft rocks, which due to their peculiar lithological, geotechnical and morpho-structural features are often prone to weathering, deterioration and slope instability issues. The use of advanced remote sensing (RS) techniques combined with traditional methods (e.g. field surveys, laboratory analysis), can provide fundamental data to implement a specific site-specific and inter-disciplinary approach for the sustainable protection and conservation of rupestrian CH sites. In this context Infrared Thermography (IRT), thanks to the technological development of portable high-resolution and cost-effective thermal imaging cameras, can be profitably used for the detection of CH conservation issues (namely fractures, water seepage, moisture and surface weathering). In this paper several applications of IRT in integrated methodologies for rupestrian sites conservation in mountainous regions of Georgia will be presented. The aim of this work is to evaluate the potential of IRT in the field of CH protection and conservation strategies, in order to provide a useful versatile and low-cost tool, to be profitably used in management plans of rupestrian CH characterized by similar contexts. Advantages and constraints of the adopted method will be discussed, as well as general operative recommendations and future perspectives.</p>

scholarly journals Dementia Patient’s Meal Monitoring Systems Using Weight and Temperature Sensors

2021 ◽  
Author(s):  
Ji-Eun Joo ◽  
Haewon Hwang ◽  
Yujin Jeon ◽  
Jaewon Jung ◽  
Yu Hu ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Communication Networks ◽  
Elder Care ◽  
Senile Dementia ◽  
Low Cost ◽  
Temperature Sensors ◽  
Monitoring Systems ◽  
Wireless Communication Networks ◽  
Dementia Patients ◽  
Crucial Information

: This paper presents a couple of meal monitoring systems for senile dementia patients by using electronic weight and temperature sensors. These monitoring systems enable to convey the information of the amount of meal taken by the patients in real-time via wireless communication networks onto the mobile phones of their families or nurses in charge. Thereby, the nurses can easily spot the most desperate patient to take care of while the families can have relief to see the crucial information for survival of their parents at least three times a day. Meanwhile, the senile dementia patients tend to suffer the burn of their tongues because they can hardly recognize the temperature of hot meals served and therefore avoid the burn of tongues. This phenomenon can be discarded by utilizing the meal temperature monitoring system which displays alarm to the patients when the meal temperature is above the reference. These meal monitoring systems can be easily implemented by utilizing low-cost sensor chips and Arduino UNO boards so that elder-care hospitals and nursing homes can afford to exploit them with no additional cost. Hence, we believe that the proposed monitoring systems would be a potential solution to provide a great help and relief not only for the professional nursing nurses working in elder-care hospitals and nursing homes, but also for the families of the dementia patients.

Acoustic levitation and infrared thermography: a sound approach to studying droplet evaporation

2020 ◽  
Vol 56 (30) ◽  
pp. 4224-4227
Author(s):  
Edward R. Duranty ◽  
Harley McCardle ◽  
W. Matthew Reichert ◽  
James H. Davis
Keyword(s):  
Surface Temperature ◽  
Infrared Thermography ◽  
Low Cost ◽  
Droplet Evaporation ◽  
Acoustic Levitation

A new low-cost technique combining acoustic levitation and infrared thermography for studying the surface temperature of isolated droplets is outlined.

The Design of a Novel Sensor Fusion Model for Monitoring People’s Density in Public Places Using Infrared Thermography

2009 ◽  
Vol 419-420 ◽  
pp. 377-380
Author(s):  
Amin Al-Habaibeh ◽  
S. Yaseen ◽  
R.M. Parkin ◽  
Fadel Otham ◽  
O. Albar
Keyword(s):  
Infrared Thermography ◽  
Sensor Fusion ◽  
Low Cost ◽  
Specific Area ◽  
The Novel ◽  
Movement Behaviour ◽  
Fusion Model ◽  
Public Places ◽  
Modern Cities ◽  
On Line

There is an increasing need in modern cities for automated Crowd Condition Monitoring (CCM) in order to provide continuous real-time on-line information regarding the density, number and movement behaviour of crowd within a specific area in order to allow the required level of services and facilities to be specified and directed. This paper describes the novel application of low-cost infrared system for estimating people’s density using infrared thermography. Sensor fusion system is developed to compensate for environmental noise. The results show that the suggested monitoring system could provide an efficient method to estimate crowd’s density.

scholarly journals Meal-Monitoring Systems Using Weight and Temperature Sensors for Elder Residents in Long-Term Care Facilities

2022 ◽  
Vol 19 (2) ◽  
pp. 808
Author(s):  
Yu Hu ◽  
Ji-Eun Joo ◽  
Eunju Choi ◽  
Leeho Yoo ◽  
Dukyoo Jung ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Communication Networks ◽  
Elder Care ◽  
Low Cost ◽  
Well Being ◽  
Temperature Sensors ◽  
Monitoring Systems ◽  
Wireless Communication Networks ◽  
Term Care ◽  
Crucial Information

This paper presents a few meal-monitoring systems for elder residents (especially patients) in LTCFs by using electronic weight and temperature sensors. These monitoring systems enable to convey the information of the amount of meal taken by the patients in real-time via wireless communication networks onto the mobile phones of their nurses in charge or families. Thereby, the nurses can easily spot the most patients who need immediate assistance, while the families can have relief in seeing the crucial information for the well-being of their parents at least three times a day. Meanwhile, the patients tend to suffer burns of their tongues because they can hardly recognize the temperature of hot meals served. This situation can be avoided by utilizing the meal temperature-monitoring system, which displays an alarm to the patients when the meal temperature is above the reference. These meal-monitoring systems can be easily implemented by utilizing low-cost sensor chips and Arduino NANO boards so that elder-care hospitals and nursing homes can afford to exploit them with no additional cost. Hence, we believe that the proposed monitoring systems would be a potential solution to provide a great help and relief for the professional nurses working in elder-care hospitals and nursing homes.

scholarly journals Defect Depth Estimation in Infrared Thermography with Deep Learning

2021 ◽  
Author(s):  
Qiang Fang ◽  
farima abdollahi-mamoudan ◽  
Xavier Maldague
Keyword(s):  
Infrared Thermography ◽  
Low Cost ◽  
Depth Estimation ◽  
Defect Depth ◽  
Fem Modeling ◽  
Flat Bottom ◽  
Pulsed Thermography ◽  
And Performance ◽  
Gated Recurrent Units ◽  
Non Destructive

Infrared thermography has already been proven to be a significant method in non-destructive evaluation since it gives information with immediacy, rapidity, and low cost. However, the thorniest issue for the wider application of IRT is quantification. In this work, we proposed a specific depth quantifying technique by employing the Gated Recurrent Units (GRU) in composite material samples via pulsed thermography (PT). Finite Element Method (FEM) modeling provides the economic examination of the response pulsed thermography. In this work, Carbon Fiber Reinforced Polymer (CFRP) specimens embedded with flat bottom holes are stimulated by a FEM modeling (COMSOL) with precisely controlled depth and geometrics of the defects. The GRU model automatically quantified the depth of defects presented in the stimulated CFRP material. The proposed method evaluated the accuracy and performance of synthetic CFRP data from FEM for defect depth predictions.

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