scholarly journals Miniature Transport Respirator Performance Evaluation for Ventilatory Support

2020 ◽  
pp. 131-143
Author(s):  
Felipe Pimenta ◽  
Edir Leal ◽  
BP Valdigem ◽  
Gustavo Andrade ◽  
José Biscegli ◽  
...  
Keyword(s):  
Respiratory Rate ◽  
Low Cost ◽  
Ventilatory Support ◽  
Easy Access ◽  
Maximum Pressure ◽  
Expiratory Time ◽  
The Face ◽  
Emergency Units ◽  
Intake Pressure ◽  
Line Pressure

In the face of the coronavirus pandemic (COVID-19), in hospital and emergency units, there is low availability of mechanical respirator for patients in need of this support, greatly improving the survival rate. In these situations, there is a need for simpler equipment, easy access, low cost, and fast manufacturing. In this study, a 3D prototype transport respirator was developed using as a model the Takaoka 600 Mini Respirator, national technology from the 1950s. The influence of adjustable parameters of the respirator was evaluated to understand it is functioning: maximum and minimum lung pressure; respirator intake pressure; respiratory rate; inspiratory and expiratory time according to the sensitivity of the mini respirator; and pressure and flow of O₂ line intake. The increase in sensitivity led to an increase in maximum and minimum pulmonary pressure, decreased inspiratory and expiratory time, with margins of 1/1, 1/2, 1/3 inspiratory/expiratory time ratio (I/E ratio). The intake flow of O₂ varied proportionally with the pressure of air intake into the respirator, with its increase leading to an increase in respiratory rate, without major influences on lung pressure and the I/E ratio. The O₂ line intake pressure without major influences on lung pressure, showing and I/E ratio >1 in values below 3.5 kPa x 100. In conclusion, it was possible to obtain a pulmonary ventilator-dependent only on positive O₂ flow, compact and effective for patient transport, and in cases of emergencies with control of maximum pressure and respiratory rate offered to the patient. Among the parameters evaluated for this respirator, an line pressure of O₂ from 3.5 kPa x 100, sensitivity between 3 and 5, a flow of 5 to 15 L/min is recommended.

Exercise as early mobilization in patients using vasoactive drugs

2020 ◽  
Vol 19 (4) ◽  
pp. 301
Author(s):  
Amanda Mariano Morais ◽  
Daiane Naiara Da Penha ◽  
Danila Gonçalves Costa ◽  
Vanessa Beatriz Aparecida Fontes Schweling ◽  
Jaqueline Aparecida Almeida Spadari ◽  
...  
Keyword(s):  
Intensive Care ◽  
Cardiovascular Response ◽  
Ventilatory Support ◽  
Early Mobilization ◽  
Scientific Basis ◽  
Routine Practice ◽  
Vasoactive Drugs ◽  
Early Ambulation ◽  
Early Mobility ◽  
The Face

Introduction: The functional benefits of Early Mobilization (EM) capable of minimizing limitations and deformities in the face of immobility are clear, but there are many barriers to conduct EM as a routine practice in the Intensive Care Unit (ICU), including the use of vasoactive drugs (VAD), since it is directly related to weakness acquired in the ICU, in addition to the resistance of the multidisciplinary team to mobilize the patient using VAD. Objective: The objective of this literature review is to raise a scientific basis in the management of critically ill patients using DVAs for EM in the ICU. Methods: It is an integrative review of the literature, with research in the databases: PEDro, Pubmed, Lilacs, with articles published between 2011 and 2018, in Portuguese and English, using the terms: vasoactive drugs, early mobility, exercise in UCI, vasopressor and its equivalents in Portuguese. Results: Nine studies were included that analyzed the EM intervention in patients using VAD, with or without ventilatory support. There was no homogeneous treatment among the researched works, varying between exercises in bed and outside, with passive and / or active action. However, regardless of the conduct, there was an improvement in the cardiovascular response without relevant changes regarding the use of VAD. Conclusion: EM is not contraindicated for patients in the ICU with the use of VAD, and it was shown to be effective and safe without promoting relevant hemodynamic and cardiorespiratory changes, which would determine its absolute contraindication.Keywords: vasodilator agents, early ambulation, intensive care units, physical therapy specialty.

Face recognition in an intelligent door lock with ResNet model based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Suphawimon Phawinee ◽  
Jing-Fang Cai ◽  
Zhe-Yu Guo ◽  
Hao-Ze Zheng ◽  
Guan-Chen Chen
Keyword(s):  
Face Recognition ◽  
Detection System ◽  
Low Cost ◽  
Ease Of Use ◽  
Raspberry Pi ◽  
Training Methods ◽  
Graphics Recognition ◽  
Face Images ◽  
The Face ◽  
Door Lock

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.

Electrostatic bellow muscle actuators and energy harvesters that stack up

2021 ◽  
Vol 6 (51) ◽  
pp. eaaz5796
Author(s):  
I. D. Sîrbu ◽  
G. Moretti ◽  
G. Bortolotti ◽  
M. Bolignari ◽  
S. Diré ◽  
...  
Keyword(s):  
High Performance ◽  
High Reliability ◽  
Low Cost ◽  
Artificial Muscle ◽  
Pressure Head ◽  
Robotic Systems ◽  
Maximum Pressure ◽  
Term Operation ◽  
Energy Harvesters ◽  
Out Of Plane

Future robotic systems will be pervasive technologies operating autonomously in unknown spaces that are shared with humans. Such complex interactions make it compulsory for them to be lightweight, soft, and efficient in a way to guarantee safety, robustness, and long-term operation. Such a set of qualities can be achieved using soft multipurpose systems that combine, integrate, and commute between conventional electromechanical and fluidic drives, as well as harvest energy during inactive actuation phases for increased energy efficiency. Here, we present an electrostatic actuator made of thin films and liquid dielectrics combined with rigid polymeric stiffening elements to form a circular electrostatic bellow muscle (EBM) unit capable of out-of-plane contraction. These units are easy to manufacture and can be arranged in arrays and stacks, which can be used as a contractile artificial muscle, as a pump for fluid-driven soft robots, or as an energy harvester. As an artificial muscle, EBMs of 20 to 40 millimeters in diameter can exert forces of up to 6 newtons, lift loads over a hundred times their own weight, and reach contractions of over 40% with strain rates over 1200% per second, with a bandwidth over 10 hertz. As a pump driver, these EBMs produce flow rates of up to 0.63 liters per minute and maximum pressure head of 6 kilopascals, whereas as generator, they reach a conversion efficiency close to 20%. The compact shape, low cost, simple assembling procedure, high reliability, and large contractions make the EBM a promising technology for high-performance robotic systems.

scholarly journals Can Hematological Parameters Play a Role in the Differential Diagnosis of Adrenal Tumors?

Uro ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 39-44
Author(s):  
Mehmet Gürkan Arıkan ◽  
Göktan Altuğ Öz ◽  
Nur Gülce İşkan ◽  
Necdet Süt ◽  
İlkan Yüksel ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Inflammatory Markers ◽  
Blood Count ◽  
Complete Blood Count ◽  
Low Cost ◽  
Easy Access ◽  
Adrenal Tumors ◽  
Tumor Diameter ◽  
Lymphocyte Ratio ◽  
Significant Difference

There have been few studies reported with conflicting results in the use of neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), redcell-distribution-width (RDW), etc. for predicting prognosis and differential diagnosis of adrenal tumors. The aim of this study is to investigate the role of inflammatory markers through a complete blood count, which is an easy access low-cost method, for the differential diagnosis of adrenocortical adenoma (ACA), adrenocortical carcinoma (ACC), and pheochromocytoma. The data of patients who underwent adrenalectomy between the years of 2010–2020 were retrospectively analyzed. Systemic hematologic inflammatory markers based on a complete blood count such as neutrophil ratio (NR), lymphocyte ratio (LR), NLR, PLR, RDW, mean platelet volume (MPV), and maximum tumor diameter (MTD) were compared between the groups. A statistically significant difference was found between the three groups in terms of PLR, RDW, and MTD. With post-hoc tests, a statistically significant difference was found in PLR and MTD between the ACA and ACC groups. A statistically significant difference was found between the ACA and pheochromocytoma groups in PLR and RDW values. In conclusion, it could be possible to plan a more accurate medical and surgical approach using PLR and RDW, which are easily calculated through an easy access low-cost method such as a complete blood count, together with MTD in the differential diagnosis of ACC, ACA, and pheochromocytoma.

scholarly journals IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

2021 ◽  
Vol 11 (8) ◽  
pp. 3495
Author(s):  
Shabir Hussain ◽  
Yang Yu ◽  
Muhammad Ayoub ◽  
Akmal Khan ◽  
Rukhshanda Rehman ◽  
...  
Keyword(s):  
Deep Learning ◽  
Low Cost ◽  
Face Mask ◽  
World Health ◽  
Rapid Screening ◽  
Screening System ◽  
Source Of Infection ◽  
The Face ◽  
Health Organization ◽  
Vaccine Distribution

The spread of COVID-19 has been taken on pandemic magnitudes and has already spread over 200 countries in a few months. In this time of emergency of COVID-19, especially when there is still a need to follow the precautions and developed vaccines are not available to all the developing countries in the first phase of vaccine distribution, the virus is spreading rapidly through direct and indirect contacts. The World Health Organization (WHO) provides the standard recommendations on preventing the spread of COVID-19 and the importance of face masks for protection from the virus. The excessive use of manual disinfection systems has also become a source of infection. That is why this research aims to design and develop a low-cost, rapid, scalable, and effective virus spread control and screening system to minimize the chances and risk of spread of COVID-19. We proposed an IoT-based Smart Screening and Disinfection Walkthrough Gate (SSDWG) for all public places entrance. The SSDWG is designed to do rapid screening, including temperature measuring using a contact-free sensor and storing the record of the suspected individual for further control and monitoring. Our proposed IoT-based screening system also implemented real-time deep learning models for face mask detection and classification. This module classified individuals who wear the face mask properly, improperly, and without a face mask using VGG-16, MobileNetV2, Inception v3, ResNet-50, and CNN using a transfer learning approach. We achieved the highest accuracy of 99.81% while using VGG-16 and the second highest accuracy of 99.6% using MobileNetV2 in the mask detection and classification module. We also implemented classification to classify the types of face masks worn by the individuals, either N-95 or surgical masks. We also compared the results of our proposed system with state-of-the-art methods, and we highly suggested that our system could be used to prevent the spread of local transmission and reduce the chances of human carriers of COVID-19.

Non-invasive intelligent monitoring system for fault detection in induction motor based on bio piezoelectric sensor using ANN

2022 ◽  
Author(s):  
Massine GANA ◽  
Hakim ACHOUR ◽  
Kamel BELAID ◽  
Zakia CHELLI ◽  
Mourad LAGHROUCHE ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Induction Motor ◽  
Vibration Analysis ◽  
Low Cost ◽  
Piezoelectric Sensor ◽  
Integrated System ◽  
Easy Access ◽  
Non Invasive ◽  
Artificial Neural

Abstract This paper presents a design of a low-cost integrated system for the preventive detection of unbalance faults in an induction motor. In this regard, two non-invasive measurements have been collected then monitored in real time and transmitted via an ESP32 board. A new bio-flexible piezoelectric sensor developed previously in our laboratory, was used for vibration analysis. Moreover an infrared thermopile was used for non-contact temperature measurement. The data is transmitted via Wi-Fi to a monitoring station that intervenes to detect an anomaly. The diagnosis of the motor condition is realized using an artificial neural network algorithm implemented on the microcontroller. Besides, a Kalman filter is employed to predict the vibrations while eliminating the noise. The combination of vibration analysis, thermal signature analysis and artificial neural network provides a better diagnosis. It ensures efficiency, accuracy, easy access to data and remote control, which significantly reduces human intervention.

Dynamic failure analysis of static seals under pressure fluctuation in an ultrahigh-pressure water piston pump

2021 ◽  
pp. 095440622110520
Author(s):  
Qian Cheng ◽  
Yinshui Liu ◽  
Zhenyao Wang ◽  
Defa Wu ◽  
Yunxiang Ma
Keyword(s):  
Element Model ◽  
Piston Pump ◽  
Ultrahigh Pressure ◽  
Maximum Pressure ◽  
Seal Ring ◽  
Face Seal ◽  
Dynamic Failure ◽  
Rubber Material ◽  
The Face ◽  
Sealing Ring

For ultrahigh-pressure piston pumps, in the reciprocating action of the piston, the fretting between the static face seal and the mating surface occurs with the change of the pressure in the piston chamber. This phenomenon will seriously affect the service life of the seal ring and lead to the failure of the pump. However, the failure of static seals used to seal ultrahigh-pressures is usually studied from the directions of shear, stress, or rubber material. These studies cannot explain the failure phenomenon of the sealing ring found in our experiment. This paper analyzed the failure of the face seal ring in a piston pump with a maximum pressure of 120 MPa. A two-dimensional axisymmetric finite element model was established based on the Mooney-Rivlin constitutive relation of the rubber material, and the fretting conditions of the sealing ring were analyzed. Combined with the wear scars observed by the scanning electron microscope the face seal ring’s dynamic failure mechanism on the ultrahigh-pressure piston pump was determined. A better sealing scheme was proposed and verified by the duration test of the pump, which provided a basis for the design of the sealing of the ultrahigh-pressure fluid with high-frequency fluctuations.

Giving when it costs

2017 ◽  
Vol 35 (5) ◽  
pp. 722-742 ◽  
Author(s):  
Lisa C. Day ◽  
Emily A. Impett
Keyword(s):  
Romantic Relationships ◽  
Low Cost ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Daily Experience ◽  
Self Construal ◽  
Interdependent Self ◽  
The Face ◽  
Willingness To Sacrifice

Do some people exhibit a greater willingness to sacrifice in romantic relationships and derive more satisfaction from doing so, even in the face of high costs? In a cross-sectional study and a daily experience study, we show that people low in interdependent self-construal were less willing to sacrifice when the costs were relatively high, whereas people high in interdependent self-construal were equally willing to make high- and low-cost sacrifices. Further, when people low in interdependent self-construal chose to sacrifice, they felt less authentic when the costs were high, which in turn, detracted from their satisfaction with sacrifice. In contrast, people high in interdependent self-construal did not feel less authentic and were buffered against feeling less satisfied when making more costly sacrifices. The findings identify a set of individuals who are more willing to sacrifice, even in the face of high costs, and who feel more satisfied and authentic when doing so.

Optimizing EMR User Experience: A Human Factors Approach to Hardware Assessment and Design for Inpatient and Emergency Units

2018 ◽  
Vol 7 (1) ◽  
pp. 97-102 ◽  
Author(s):  
Catherine Dulude ◽  
Chantal Trudel ◽  
W. James King ◽  
Karen Macaulay ◽  
Jennifer Gillert ◽  
...  
Keyword(s):  
Electronic Medical Records ◽  
User Satisfaction ◽  
Medical Records ◽  
Participatory Design ◽  
Easy Access ◽  
Just In Time ◽  
Successful Implementation ◽  
End User ◽  
System A ◽  
Emergency Units

Many factors contribute to the successful implementation and adoption of electronic medical records (EMRs). Easy access to the EMR, where and when required by clinicians, is a key component of adoption and end-user satisfaction with the system. A pediatric hospital implementing an integrated EMR used multiple methods within an iterative human-centered design (HCD) framework to develop hardware and access solutions supporting future EMR workflows in Inpatient and Emergency Departments. Context of use analysis, participatory design methods, preliminary analysis of evaluative simulations and tacit knowledge of the project team led to the development of guiding principles for hardware implementation and solutions supporting just-in-time documentation within the constraints of existing facility design.

scholarly journals Neurosurgical digital teaching in low-middle income countries: beyond the frontiers of traditional education

2018 ◽  
Vol 45 (4) ◽  
pp. E17 ◽  
Author(s):  
Federico Nicolosi ◽  
Zefferino Rossini ◽  
Ismail Zaed ◽  
Angelos G. Kolias ◽  
Maurizio Fornari ◽  
...  
Keyword(s):  
Low Cost ◽  
Easy Access ◽  
Scientific Validity ◽  
Middle Income ◽  
Digital Platforms ◽  
Poor Countries ◽  
Middle Income Countries ◽  
Standard Education ◽  
Low Middle Income Countries ◽  
Learning Programs

OBJECTIVENeurosurgical training is usually based on traditional sources of education, such as papers, books, direct surgical experience, and cadaveric hands-on courses. In low-middle income countries, standard education programs are often unavailable, mainly owing to the lack of human and economic resources. Introducing digital platforms in these settings could be an alternative solution for bridging the gap between Western and poor countries in neurosurgical knowledge.METHODSThe authors identified from the Internet the main digital platforms that could easily be adopted in low-middle income countries. They selected free/low-cost mobile content with high educational impact.RESULTSThe platforms that were identified as fulfilling the characteristics described above are WFNS Young Neurosurgeons Forum Stream, Brainbook, NeuroMind, UpSurgeOn, The Neurosurgical Atlas, Touch surgery, The 100 UCLA Subjects in Neurosurgery, Neurosurgery Survival Guide, EANS (European Association of Neurosurgical Societies) Academy, Neurosurgical.TV, 3D Neuroanatomy, The Rhoton Collection, and Hinari. These platforms consist of webinars, 3D interactive neuroanatomy and neurosurgery content, videos, and e-learning programs supported by neurosurgical associations or journals.CONCLUSIONSDigital education is an emerging tool for contributing to the spread of information in the neurosurgical community. The continuous improvement in the quality of content will rapidly increase the scientific validity of digital programs. In conclusion, the fast and easy access to digital resources could contribute to promote neurosurgical education in countries with limited facilities.

Sign in / Sign up

Export Citation Format

Share Document