Calibrating a non-contact and low-cost respiratory monitoring system based on Digital Correlation Technique

2021 ◽  
Author(s):  
Aulia Nasution ◽  
Iman R. Rosohadi ◽  
Wahyu Anggoro ◽  
Iwan C. Setiadi
Keyword(s):  
Monitoring System ◽  
Low Cost ◽  
Respiratory Monitoring ◽  
Correlation Technique ◽  
Digital Correlation

scholarly journals Inexpensive multi-patient respiratory monitoring system for helmet ventilation during COVID-19 pandemic

2020 ◽  
Author(s):  
◽  
Philippe Bourrianne ◽  
Stanley Chidzik ◽  
Daniel Cohen ◽  
Peter Elmer ◽  
...  
Keyword(s):  
Monitoring System ◽  
Low Cost ◽  
Applied Pressure ◽  
Pressure Sensors ◽  
Peak Inspiratory Pressure ◽  
Respiratory Monitoring ◽  
Invasive Ventilation ◽  
Medical Systems ◽  
Non Invasive ◽  
Non Invasive Ventilation

AbstractHelmet non-invasive ventilation (NIV) is a form of continuous positive applied pressure that has emerged as a useful therapy for COVID-19 patients who require respiratory support but may not require invasive ventilation. Helmet NIV has seen an increase in use during the COVID-19 pandemic because it is low-cost, readily available, and provides viral filters between the patient and clinician. Helmet NIV may also provide better patient outcomes by delaying or eliminating the need for invasive ventilation. Its widespread adoption has been limited, however, by the lack of a respiratory monitoring system that is needed to address known safety vulnerabilities and to provide clinicians with a respiratory profile of the patient. To address this safety need, we have developed an inexpensive respiratory monitoring system that is based on readily available commercial components and is suitable for rapid local manufacture. The system is designed for use in conjunction with the COVID-19 Helmet developed by Sea-Long Medical Systems [1], but is modular and can be used with other ventilation systems. The monitoring system comprises one or more flow and pressure sensors and a central remote station that can be used to remotely monitor up to 20 patients simultaneously. The system reports flow, pressure, and clinically relevant metrics including respiratory rate, tidal volume equivalent, peak inspiratory pressure (PIP), positive end-expiratory pressure (PEEP) and the ratio of inspiratory time to expiratory time (I:E). The device will sound alarms based on clinician-set thresholds. In bench tests using a commercial ventilator and artificial lung system, our device performs comparably to a commercial single-patient respiratory monitor. Results are presented from human-subject tests on a healthy volunteer undergoing helmet non-invasive ventilation. Detailed design and manufacturing documents are provided.

scholarly journals Inexpensive Multi-Patient Respiratory Monitoring System for Helmet Ventilation During Covid-19 Pandemic

2021 ◽  
Author(s):  
Philippe Bourrianne ◽  
Stanley Chidzik ◽  
Daniel Cohen ◽  
Peter Elmer ◽  
Thomas Hallowell ◽  
...  
Keyword(s):  
Monitoring System ◽  
Low Cost ◽  
Applied Pressure ◽  
Ground Truth ◽  
High Flow ◽  
Respiratory Monitoring ◽  
Invasive Ventilation ◽  
Non Invasive ◽  
Non Invasive Ventilation ◽  
Remote Station

Abstract Helmet continuous positive applied pressure is a form of non-invasive ventilation (NIV) that has been used to provide respiratory support to COVID-19 patients. Helmet NIV is low-cost, readily available, provides viral filters between the patient and clinician, and may reduce the need for invasive ventilation. Its widespread adoption has been limited, however, by the lack of a respiratory monitoring system needed to address known safety vulnerabilities and to monitor patients. To address these safety and clinical needs, we developed an inexpensive respiratory monitoring system based on readily available components suitable for local manufacture. Open-source design and manufacturing documents are provided. The monitoring system comprises flow, pressure and CO2 sensors on the expiratory path of the helmet circuit and a central remote station to monitor up to 20 patients. The system is validated in bench tests, in human-subject tests on healthy volunteers, and in experiments that compare respiratory features obtained at the expiratory path to simultaneous ground-truth measurements from proximal sensors. Measurements of flow and pressure at the expiratory path are shown to deviate at high flow rates, and the tidal volumes reported via the expiratory path are systematically underestimated. Helmet monitoring systems exhibit high-flow rate, non-linear effects from flow and helmet dynamics. These deviations are found to be within a reasonable margin and should, in principle, allow for calibration, correction and deployment of clinically accurate derived quantities.

Development of Non-contact Respiratory Monitoring System for Newborn Using a FG Vision Sensor

2010 ◽  
Vol 130 (9) ◽  
pp. 1581-1587 ◽  
Author(s):  
Yoshiyuki Kurami ◽  
Yushi Itoh ◽  
Michiya Natori ◽  
Kazuo Ohzeki ◽  
Yoshimitsu Aoki
Keyword(s):  
Monitoring System ◽  
Respiratory Monitoring ◽  
Vision Sensor

scholarly journals COVIMOS: A Coastal Video Monitoring System

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
I Made Oka Widyantara ◽  
I Made Dwi Asana Putra ◽  
Ida Bagus Putu Adnyana
Keyword(s):  
Monitoring System ◽  
Nearest Neighbor ◽  
Low Cost ◽  
Video Image ◽  
Video Monitoring ◽  
Reference Object ◽  
Self Organizing Map ◽  
K Nearest Neighbor ◽  
Ip Camera ◽  
Class Labels

This paper intends to explain the development of Coastal Video Monitoring System (CoViMoS) with the main characteristics including low-cost and easy implementation. CoViMoS characteristics have been realized using the device IP camera for video image acquisition, and development of software applications with the main features including detection of shoreline and it changes are automatically. This capability was based on segmentation and classification techniques based on data mining. Detection of shoreline is done by segmenting a video image of the beach, to get a cluster of objects, namely land, sea and sky, using Self Organizing Map (SOM) algorithms. The mechanism of classification is done using K-Nearest Neighbor (K-NN) algorithms to provide the class labels to objects that have been generated on the segmentation process. Furthermore, the classification of land used as a reference object in the detection of costline. Implementation CoViMoS system for monitoring systems in Cucukan Beach, Gianyar regency, have shown that the developed system is able to detect the shoreline and its changes automatically.

A Simple, Low-cost Multi-sensor-based Smart Wearable Knee Monitoring System

2020 ◽  
pp. 1-1
Author(s):  
Abu Ilius Faisal ◽  
Sumit Majumder ◽  
Ryan Scott ◽  
Tapas Mondal ◽  
David Cowan ◽  
...  
Keyword(s):  
Monitoring System ◽  
Low Cost ◽  
Smart Wearable

scholarly journals Android Based Low Cost Sitting Posture Monitoring System

2020 ◽  
Author(s):  
Nusrat Binta Nizam ◽  
Tohfatul Jinan ◽  
Wahida Binte Naz Aurthy ◽  
Md. Rakib Hossen ◽  
Jahid Ferdous
Keyword(s):  
Monitoring System ◽  
Low Cost ◽  
Sitting Posture ◽  
Posture Monitoring

scholarly journals Innovative passive reinforcements for the gradual stabilization of a landslide according with the observational method

Landslides ◽  
2021 ◽  
Author(s):  
Lorenzo Brezzi ◽  
Alberto Bisson ◽  
Davide Pasa ◽  
Simonetta Cola
Keyword(s):  
Monitoring System ◽  
Low Cost ◽  
Economic Losses ◽  
Fe Model ◽  
Site Conditions ◽  
Observational Method ◽  
Rainy Period ◽  
Sustainable Solutions ◽  
Before And After ◽  
Set Up

AbstractA large number of landslides occur in North-Eastern Italy during every rainy period due to the particular hydrogeological conditions of this area. Even if there are no casualties, the economic losses are often significant, and municipalities frequently do not have sufficient financial resources to repair the damage and stabilize all the unstable slopes. In this regard, the research for more economically sustainable solutions is a crucial challenge. Floating composite anchors are an innovative and low-cost technique set up for slope stabilization: it consists in the use of passive sub-horizontal reinforcements, obtained by coupling a traditional self-drilling bar with some tendons cemented inside it. This work concerns the application of this technique according to the observational method described within the Italian and European technical codes and mainly recommended for the design of geotechnical works, especially when performed in highly uncertain site conditions. The observational method prescribes designing an intervention and, at the same time, using a monitoring system in order to correct and adapt the project during realization of the works on the basis of new data acquired while on site. The case study is the landslide of Cischele, a medium landslide which occurred in 2010 after an exceptional heavy rainy period. In 2015, some floating composite anchors were installed to slow down the movement, even if, due to a limited budget, they were not enough to ensure the complete stabilization of the slope. Thanks to a monitoring system installed in the meantime, it is now possible to have a comparison between the site conditions before and after the intervention. This allows the evaluation of benefits achieved with the reinforcements and, at the same time, the assessment of additional improvements. Two stabilization scenarios are studied through an FE model: the first includes the stabilization system built in 2015, while the second evaluates a new solution proposed to further increase the slope stability.

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