COronavirus remote
MOnitoring of outpatients
System that allows to remotely monitor the vital parameters of a patient.
Reference Context
2020 was a tragic year, COVID-19 is facing unprecedented challenges for governments, industries and the entire world community. A global crisis that has radically changed working habits and the business world.
To prevent new waves of infections and thus avoid the overcrowding of emergency rooms and intensive care units, we decided to participate to the COMO (COronavirus remote monitoring of outpatients) project to create a system that allows remote monitoring of patients.
The system led by the Swiss start-up Vexatec in collaboration with us at EOS and with the CSEM, is now being tested at the Luigi Sacco University Hospital in Milan.
The purpose
This service will allow patients to stay at home during remote check-up and reassurance thanks to physiological measurements taken twice an hour and remotely evaluated by healthcare professionals at least three times a day.
Health conditions are regularly monitored through a monitoring kit consisting of wearable sensors or a chest band that continuously measures heart rate, respiratory rate, skin temperature and motor activity.
The cloud platform on which the data is sent allows, through Machine Learning-based algorithms, to aggregate physiological and georeferenced positioning data and classify them from the point of view of a single patient or from the territorial point of view.
This service will allow patients to stay at home during remote check-up and reassurance thanks to physiological measurements taken twice an hour and remotely evaluated by healthcare professionals at least three times a day.
Health conditions are regularly monitored through a monitoring kit consisting of wearable sensors or a chest band that continuously measures heart rate, respiratory rate, skin temperature and motor activity.
The cloud platform on which the data is sent allows, through Machine Learning-based algorithms, to aggregate physiological and georeferenced positioning data and classify them from the point of view of a single patient or from the territorial point of view.
It can identify on geographic heat maps which regions show the greatest health risk and analyse population flows for potential virus spread. Naturally physiological data are treated confidentially as medical data and geo-referenced data are made anonymous according to the rules of the GDPR.
The Sensors
The main sensor is a chest belt, designed by CSEM, composed of dry electrode sensors, light and comfortable, which patients affected by Covid-19 will have to wear to let doctors monitor their vital signs.
The sensors will measure:
- Heart rate,
- Breath rate,
- Body movements.
Along with the belt, other wireless devices will monitor blood oxygen saturation (SpO2) levels and patient’s temperature.
The measurement data collected by these devices will be instantly sent to the central system through the Patient Monitoring app installed on the patient’s smartphone; doctors, therefore, will be able to analyse and monitor the patient’s condition remotely.
Patient Monitoring
Patient Monitoring allows patients under treatment to remotely send vital signs.
The monitoring, thanks to a “real time” predictive service, allows to support the medical activity and the identification of “alert signals” on the deterioration of the patient’s condition.
For viral diseases, the georeferenced data also show the areas of greatest health risk due to the potential spread of the virus.
Partnership
COMO (COronavirus remote Monitoring of Outpatients) is a project promoted by ESA (European Space Agency) using the technology of the Swiss company Vexatec in collaboration with CSEM and EOS.
ESA – European Space Agency
http://www.esa.int
Promoter
VEXATEC AG
https://www.vexatec.com
Prime Contractor(s)
CSEM – CENTRE SUISSE D’ELECTRONIQUE ET DE MICROTECHNIQUE SA
https://www.csem.ch
Subcontractor(s)
EOS – ENTERPRISE ORGANIZATION AND SOLUTIONS S.R.L
https://www.eositaly.it
Subcontractor(s)