Air Quality and Covid-19


Justification

Due to the high rate of infection of the virus, the models developed for the estimation and projection of hospital resources show an imminent overcoming of the attention capacities of the health services in intensive care, which on average happens 30 days after the beginning of the epidemic, depending on the installed capacities of each country [3]-[5]. Similarly, it is concluded that there is no timely diagnosis of those critical patients due to the lack of tools for remote monitoring.

Mobile application

Click here to watch SpaceApp

The objective of this project is to support this eventual and potential crisis of treatment of the Covid-19 that can be generated in our country, developing a system that incorporates a mobile application for continuous and real time monitoring of any mechanical fan; The mobile application is based on React Native and implements the IBM Cloud services as Cloudfoundry and implements the following output variables pressure, breaths per minute, volume flow, inspiration and expiration rate, battery level, blood pressure signal (ABP), Electrocardiography signal (ECG), Photoplethysmography signal (PPG) and oxygen saturation (SpO2). The mobile application is based on React and IBM Cloud services that allows to register, monitor and diagnose patients suffering from SARS-V2 in Colombia, through Watson Assistant, CloudFoundry, as well as the embedded services of location and routing.
This is a simple 3-block test project for IBM realtime info integration. First, a Node (or python) generator will produce random numbers to send them to the cloud (IBM tech) Second, the IBM service will be configured (see appendix) to support the realtime changes and save the stored data. Third, a react native client in Expo will gather the data and display it somehow

Our team

Our work team is composed 6 members, it is an interdisciplinary group in which it contributes from different areas of knowledge: Systems and computer engineering, electronic engineering, mechanics and medicine.

Our project

General objective

To develop a real-time monitoring system that allows the recording of multiple physiological variables of a mechanical ventilator through a mobile application that monitors the physiological variables of the Pneuma ventilator and stores them remotely in IBb's Cloud service. The TLR5 phase design of a non-invasive,
portable, pre-commercial mechanical ventilator is also proposed as a vital device in the face of the massive influx of patients with respiratory failure and pneumonia caused by high transmission of COVID-19 in Colombia.

Especific objectives

  • Implement a mobile application based on React and IBM Cloud services that allows to register, monitor and diagnose patients suffering from SARS-V2 in Colombia, through Watson Assistant, CloudFoundry, as well as the embedded services of location and routing.
  • Develop a prototype of a non-invasive mechanical ventilator at TRL 5 level, which will allow its validation in the medical community.
  • Characterization of the supply chain for the evaluation and improvement of the prototype at a pilot production scale.

Business model

Since our solution integrates two different products/services, we have chosen to separate the business model of each of these. For the mobile application, a more patient- oriented market segmentation has been established due to the high number of people who could install PneumApp on their mobile devices.