H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing

The novel COVID-19 disease has been declared a pandemic event. Early detection of infection symptoms and contact tracing are playing a vital role in containing COVID-19 spread. As demonstrated by recent literature, multi-sensor and connected wearable devices might enable symptom detection and help t...

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Vydáno v:IEEE International Symposium on Circuits and Systems proceedings s. 1 - 5
Hlavní autoři: Polonelli, Tommaso, Schulthess, Lukas, Mayer, Philipp, Magno, Michele, Benini, Luca
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.05.2021
Témata:
Batteries
Battery lifetime
Biomedical monitoring
Contact tracing
COVID-19
Data handling
Design and implementations
Electric batteries
Energy Harvester
Low Power Design
Monitoring
Open source software
Open systems
Radio transmission
Research communities
Smart Sensors
Symptom detections
Tiny Machine Learning
Turing machines
Watches
Wearable computers
Wearable Device
Wearable devices
Wearable sensors
Wireless Sensors Networks
Wireless transmissions
ISBN:9781728192017, 1728192013
ISSN:2158-1525
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Popis
Shrnutí:The novel COVID-19 disease has been declared a pandemic event. Early detection of infection symptoms and contact tracing are playing a vital role in containing COVID-19 spread. As demonstrated by recent literature, multi-sensor and connected wearable devices might enable symptom detection and help tracing contacts, while also acquiring useful epidemiological information. This paper presents the design and implementation of a fully open-source wearable platform called H-Watch. It has been designed to include several sensors for COVID-19 early detection, multi-radio for wireless transmission and tracking, a microcontroller for processing data on-board, and finally, an energy harvester to extend the battery lifetime. Experimental results demonstrated only 5.9 mW of average power consumption, leading to a lifetime of 9 days on a small watch battery. Finally, all the hardware and the software, including a machine learning on MCU toolkit, are provided open-source, allowing the research community to build and use the H-Watch.
ISBN:9781728192017
1728192013
ISSN:2158-1525
DOI:10.1109/ISCAS51556.2021.9401362