Non-Invasive Measurement of Vital Signs Based on Seven-Core Fiber Interferometer

2021 ◽  
Vol 21 (9) ◽  
pp. 10703-10710
Author(s):  
Weijuan Chen ◽  
Yi Zhang ◽  
Huicheng Yang ◽  
Yishen Qiu ◽  
Hui Li ◽  
...  
2019 ◽  
Vol 6 ◽  
Author(s):  
Travis W. Horton ◽  
Nan Hauser ◽  
Shannon Cassel ◽  
K. Frederika Klaus ◽  
Ticiana Fettermann ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3396
Author(s):  
Fatima Sekak ◽  
Kawtar Zerhouni ◽  
Fouzia Elbahhar ◽  
Madjid Haddad ◽  
Christophe Loyez ◽  
...  

Non-contact detection and estimation of vital signs such as respiratory and cardiac frequencies is a powerful tool for surveillance applications. In particular, the continuous wave bio-radar has been widely investigated to determine the physiological parameters in a non-contact manner. Since the RF-reflected signal from the human body is corrupted by noise and random body movements, traditional Fourier analysis fails to detect the heart and breathing frequencies. In this effort, cyclostationary analysis has been used to improve the radar performance for non-invasive measurement of respiratory rate and heart rate. However, the preliminary works focus only on one frequency and do not include the impact of attenuation and random movement of the body in the analysis. Hence in this paper, we evaluate the impact of distance and noise on the cyclic features of the reflected signal. Furthermore, we explore the assessment of second order cyclostationary signal processing performance by developing the cyclic mean, the conjugate cyclic autocorrelation and the cyclic cumulant. In addition, the analysis is carried out using a reduced number of samples to reduce the response time. Implementation of the cyclostationary technique using a bi-static radar configuration at 2.5 GHz is shown as an example to demonstrate the proposed approach.


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

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1176
Author(s):  
Przemysław Racewicz ◽  
Agnieszka Ludwiczak ◽  
Ewa Skrzypczak ◽  
Joanna Składanowska-Baryza ◽  
Hanna Biesiada ◽  
...  

In recent years, there have been very dynamic changes in both pork production and pig breeding technology around the world. The general trend of increasing the efficiency of pig production, with reduced employment, requires optimisation and a comprehensive approach to herd management. One of the most important elements on the way to achieving this goal is to maintain animal welfare and health. The health of the pigs on the farm is also a key aspect in production economics. The need to maintain a high health status of pig herds by eliminating the frequency of different disease units and reducing the need for antimicrobial substances is part of a broadly understood high potential herd management strategy. Thanks to the use of sensors (cameras, microphones, accelerometers, or radio-frequency identification transponders), the images, sounds, movements, and vital signs of animals are combined through algorithms and analysed for non-invasive monitoring of animals, which allows for early detection of diseases, improves their welfare, and increases the productivity of breeding. Automated, innovative early warning systems based on continuous monitoring of specific physiological (e.g., body temperature) and behavioural parameters can provide an alternative to direct diagnosis and visual assessment by the veterinarian or the herd keeper.


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.


Author(s):  
Konstantinos Markakis ◽  
Nikolaos Pagonas ◽  
Eleni Georgianou ◽  
Panagiota Zgoura ◽  
Benjamin J. Rohn ◽  
...  

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