Redesigned face mask improves “real life” aerosol delivery for nebuchamber

2004 ◽  
Vol 37 (2) ◽  
pp. 172-177 ◽  
Author(s):  
Israel Amirav ◽  
Yasser Mansour ◽  
Avigdor Mandelberg ◽  
Igal Bar-Ilan ◽  
Michael T. Newhouse
Keyword(s):  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adam Catching ◽  
Sara Capponi ◽  
Ming Te Yeh ◽  
Simone Bianco ◽  
Raul Andino

AbstractCOVID-19’s high virus transmission rates have caused a pandemic that is exacerbated by the high rates of asymptomatic and presymptomatic infections. These factors suggest that face masks and social distance could be paramount in containing the pandemic. We examined the efficacy of each measure and the combination of both measures using an agent-based model within a closed space that approximated real-life interactions. By explicitly considering different fractions of asymptomatic individuals, as well as a realistic hypothesis of face masks protection during inhaling and exhaling, our simulations demonstrate that a synergistic use of face masks and social distancing is the most effective intervention to curb the infection spread. To control the pandemic, our models suggest that high adherence to social distance is necessary to curb the spread of the disease, and that wearing face masks provides optimal protection even if only a small portion of the population comply with social distance. Finally, the face mask effectiveness in curbing the viral spread is not reduced if a large fraction of population is asymptomatic. Our findings have important implications for policies that dictate the reopening of social gatherings.


2015 ◽  
Vol 60 (9) ◽  
pp. 1365-1366
Author(s):  
T. C. Blakeman
Keyword(s):  

Author(s):  
Kalyan Chakravarthi. M

Abstract: Recognition from faces is a popular and significant technology in recent years. Face alterations and the presence of different masks make it too much challenging. In the real-world, when a person is uncooperative with the systems such as in video surveillance then masking is further common scenarios. For these masks, current face recognition performance degrades. Still, difficulties created by masks are usually disregarded. Face recognition is a promising area of applied computer vision . This technique is used to recognize a face or identify a person automatically from given images. In our daily life activates like, in a passport checking, smart door, access control, voter verification, criminal investigation, and many other purposes face recognition is widely used to authenticate a person correctly and automatically. Face recognition has gained much attention as a unique, reliable biometric recognition technology that makes it most popular than any other biometric technique likes password, pin, fingerprint, etc. Many of the governments across the world also interested in the face recognition system to secure public places such as parks, airports, bus stations, and railway stations, etc. Face recognition is one of the well-studied real-life problems. Excellent progress has been done against face recognition technology throughout the last years. The primary concern to this work is about facial masks, and especially to enhance the recognition accuracy of different masked faces. A feasible approach has been proposed that consists of first detecting the facial regions. The occluded face detection problem has been approached using Cascaded Convolutional Neural Network (CNN). Besides, its performance has been also evaluated within excessive facial masks and found attractive outcomes. Finally, a correlative study also made here for a better understanding.


2020 ◽  
Vol 66 (1) ◽  
pp. 95-103
Author(s):  
Alexandra Haw ◽  
Michael McPeck ◽  
Ann D Cuccia ◽  
Gerald C Smaldone

2005 ◽  
Vol 147 (5) ◽  
pp. 627-631 ◽  
Author(s):  
Israel Amirav ◽  
Anat Oron ◽  
Guy Tal ◽  
Karine Cesar ◽  
Ami Ballin ◽  
...  

2020 ◽  
pp. 00422-2020 ◽  
Author(s):  
Yasmin M. Madney ◽  
Nabila Ibrahim Laz ◽  
Ahmed A. Elberry ◽  
Hoda Rabea ◽  
Mohamed E.A. Abdelrahim

There is a lack of information about the influence of patient interfaces like facemask or mouthpiece on the effective dose of aerosolized drugs while using high flow therapy in a clinical setting. These interfaces can improve pulmonary drug delivery over nasal cannula but patient preference and comfort should also be considered.The present work was to determine the effect of three different interfaces (nasal cannula, valved face mask, and mouthpiece) when combined with titrated oxygen flow on aerosol delivery in chronic obstructive pulmonary disease (COPD) patients hospitalised due to acute exacerbation.The variations between these interfaces were addressed in terms of change in lung function measurements pre-and post-inhalation, the delivered salbutamol dose, and patient tolerance to each interface.High flow nasal cannula was the most comfortable interface used. However, its pulmonary drug delivery was significantly lower than both the valved face mask and mouthpiece (p<0.05). Although drug delivery was different with the three tested interfaces, the lung function improvements were similar.


2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Diajeng Laily Hidayati ◽  
Reza Fahlevi

The Covid-19 (Corona Virus Disease-19) outbreak has managed to change the patterns of social life on society, including the change regarding the way Da’wa is performed; from conventional direct Da’wa to mediated Da’wa through internet. This article aims at describing responses of the Da’is (proselytizers) in social media pertaining to the spread of the Covid-19. This article applied qualitative method to analyse Da’wa contents related to Covid-19 on social media. Data were collected through observation and documentation. Findings show that there are at least three types of responses from the Da’is; cognitive, affective, and behavioural responses.  Cognitive response is manifested in the form of delivering information regarding Covid-19 from the general and medical perspective such as promoting frequent hand-washing, maintaining good hygiene, obeying the government measurements, maintaining healthy level of gratitude and praying to God to be saved from the outbreak. Affective response is manifested in the form of promoting empathy, positive thinking, and avoiding panic. Behavioural response is manifested in the form of giving real-life example such as performing online congregation (pengajian online), wearing face mask, applying appropriate disinfection, and helping those heavily affected by the outbreak.Keywords: Covid-19, Dai, responses, and social media. 


2015 ◽  
Vol 60 (9) ◽  
pp. 1220-1226 ◽  
Author(s):  
A. A. Bugis ◽  
M. M. Sheard ◽  
J. B. Fink ◽  
R. J. Harwood ◽  
A. Ari
Keyword(s):  

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4234
Author(s):  
Bo Zhou ◽  
Alejandro Baucells Costa ◽  
Paul Lukowicz

Cardiorespiratory (CR) signals are crucial vital signs for fitness condition tracking, medical diagnosis, and athlete performance evaluation. Monitoring such signals in real-life settings is among the most widespread applications of wearable computing. We investigate how miniaturized barometers can be used to perform accurate spirometry in a wearable system that is built on off-the-shelf training masks often used by athletes as a training aid. We perform an evaluation where differential barometric pressure sensors are compared concurrently with a digital spirometer, during an experimental setting of clinical forced vital capacity (FVC) test procedures with 20 participants. The relationship between the two instruments is derived by mathematical modeling first, then by various regression methods from experiment data. The results show that the error of FVC vital values between the two instruments can be as low as 2∼3%. Beyond clinical tests, the method can also measure continuous tidal breathing air volumes with a 1∼3% error margin. Overall, we conclude that barometers with millimeter footprints embedded in face mask apparel can perform similarly to a digital spirometer to monitor breathing airflow and volume in pulmonary function tests.


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