Facial Tracking in Thermal Images for Real-Time Noncontact Respiration Rate Monitoring

Author(s):  
Abdulkadir Hamidu Alkali ◽  
Reza Saatchi ◽  
Heather Elphick ◽  
Derek Burke
2020 ◽  
Author(s):  
◽  
Tareq Abdulqader

The study's aim was to develop a non-contact, ultrasound (US) based respiration rate and respiratory signal monitor suitable for babies in incubators. Respiration rate indicates average number of breaths per minute and is higher in young children than adults. It is an important indicator of health deterioration in critically ill patients. The current incubators do not have an integrated respiration monitor due to complexities in its adaptation. Monitoring respiratory signal assists in diagnosing respiration rated problems such as central Apnoea that can affect infants. US sensors are suitable for integration into incubators as US is a harmless and cost-effective technology. US beam is focused on the chest or abdomen. Chest or abdomen movements, caused by respiration process, result in variations in their distance to the US transceiver located at a distance of about 0.5 m. These variations are recorded by measuring the time of flight from transmitting the signal and its reflection from the monitored surface. Measurement of this delay over a time interval enables a respiration signal to be produced from which respiration rate and pauses in breathing are determined. To assess the accuracy of the developed device, a platform with a moving surface was devised. The magnitude and frequency of its surface movement were accurately controlled by its signal generator. The US sensor was mounted above this surface at a distance of 0.5 m. This US signal was wirelessly transmitted to a microprocessor board to digitise. The recorded signal that simulated a respiratory signal was subsequently stored and displayed on a computer or an LCD screen. The results showed that US could be used to measure respiration rate accurately. To cater for possible movement of the infant in the incubator, four US sensors were adapted. These monitored the movements from different angles. An algorithm to interpret the output from the four US sensors was devised and evaluated. The algorithm interpreted which US sensor best detected the chest movements. An IoMT system was devised that incorporated NodeMcu to capture signals from the US sensor. The detected data were transmitted to the ThingSpeak channel and processed in real-time by ThingSpeak’s add-on Matlab© feature. The data were processed on the cloud and then the results were displayed in real-time on a computer screen. The respiration rate and respiration signal could be observed remotely on portable devices e.g. mobile phones and tablets. These features allow caretakers to have access to the data at any time and be alerted to respiratory complications. A method to interpret the recorded US signals to determine respiration patterns, e.g. intermittent pauses, were implemented by utilising Matlab© and ThingSpeak Server. The method successfully detected respiratory pauses by identifying lack of chest movements. The approach can be useful in diagnosing central apnoea. In central apnoea, respiratory pauses are accompanied by cessation of chest or abdominal movements. The devised system will require clinical trials and integration into an incubator by conforming to the medical devices directives. The study demonstrated the integration of IoMT-US for measuring respiration rate and respiratory signal. The US produced respiration rate readings compared well with the actual signal generator's settings of the platform that simulated chest movements.


Author(s):  
Naveen Bokka ◽  
JAY KARHADE ◽  
Parikshit Sahatiya

: Respiration rate is a vital parameter which is useful for earlier identification of diseases. In this context, various types of devices have been fabricated and developed to monitor different...


Author(s):  
Alejandro Morfin-Santana ◽  
Filiberto Munoz Palacios ◽  
Sergio Salazar Cruz ◽  
Ivan Gonzalez-Hernandez ◽  
Eduardo S. Espinoza Quesada ◽  
...  

2019 ◽  
Vol 97 (Supplement_1) ◽  
pp. 30-30
Author(s):  
Rachel Miller ◽  
Jessica Suagee Bedore ◽  
Kelsey Thompson ◽  
Lynsey McFarland ◽  
Timber Thomson ◽  
...  

Abstract Yucca and fenugreek are purported to reduce inflammation and improve metabolic response to exercise. Therefore, we evaluated the effects of a dietary supplement (DigestaWell NRG) in unconditioned horses completing an exercise challenge test. In this study, 10 unfit horses were assigned to receive exercise (EXC; n = 5) or the dietary supplement (SUP; n = 5). Horses assigned to EXC were ridden daily at a walk, trot, and canter. Horses assigned to SUP were ridden once per week at a walk and slow trot, but received no other exercise. Horses underwent a 14-min standardized exercise test (5 min walk, 5 min trot, 4 min canter) prior to (Period1) and after a 4-wk treatment period (Period2). Heart rate, respiration rate, blood lactate concentrations, and thermal images of six muscle groups were obtained prior to, immediately after, and 2 hr post-test. Data were analyzed using repeated measures ANOVA. During Period1, similar (P > 0.05) post-exercise increases in heart rate, respiration rate, blood lactate, and thermal images were observed regardless of treatment group. During Period2, SUP horses had lower (P < 0.001) lactate concentrations than EXC horses at 2 hr post exercise, and it is possible that these lower concentrations are responsible for lower peripheral temperatures. Infrequently exercised horses may benefit from yucca and fenugreek supplementation due to the observed effect of these herbs to reduce post-exercise lactate concentrations and peripheral temperatures.


Author(s):  
Fletcher Kovich

Background: While investigating the real-time impedance at acupuncture points (acupoints), it was found that regular sinusoidal waves were present that corresponded to the pulsing of certain organs, such as respiration and duodenal waves, the stomach&rsquo;s slow waves, and also the heart&rsquo;s beating.Methods: This study investigated such respiration waves at lung-related acupoints to clarify their relation to the respiration pacesetter mechanism. The impedance at key acupoints was monitored in real time while the patients&rsquo; breathing slowed after exercise.Results: In all 7 patients studied, the respiration and heart-beat waves matched the rates in the corresponding organs at rest, and did not vary markedly due to exercise. In 3 of the 7 patients, their post-exercise respiration rate exactly matched that of their duodenal waves, but then dropped, stepwise, back to their usual respiration rate. In the other 4 patients, their post-exercise respiration rate did not reach that of their duodenal waves, so this pattern was not triggered.Conclusion: The results suggested that as well as the brainstem respiration pacesetter, there was also a separate &ldquo;pace signal&rdquo; present which remained constant and seemed to define the respiration rate when at rest. It is currently unknown what mechanism causes the respiration rate to increase due to exercise. But these results suggest that the brainstem pacesetter is sometimes guided by the duodenal pace signal instead of the lung pace signal, which may explain how the pacesetter is able to jump to a higher rate, even though its chemoreceptor inputs may be unchanged.


2011 ◽  
Vol 55 (7-8) ◽  
pp. 83-89 ◽  
Author(s):  
M. Vasudevan ◽  
N. Chandrasekhar ◽  
V. Maduraimuthu ◽  
A. K. Bhaduri ◽  
B. Raj

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