TY - JOUR
T1 - Enabling Real-Time Dashboards for Anxiety Risk Classification Using the Internet of Things
AU - Siddiqui, Shama
AU - Nait-Abdesselam, Farid
AU - Khan, Anwar Ahmed
AU - Dey, Indrakshi
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The ubiquity of sensor technology and the Internet of Things prompted us to propose to develop a real-time digital dashboard to visualize the anxiety risks of populations during a pandemic, as in the case of COVID-19. To this end, here we provide an end-to-end communication architecture to detect physiological data related to heart rate, blood pressure, and SPO2, using wearable sensors and communicate them to remote servers. Based on this collected data, the centralized dashboard will classify in real time the patients of each geographic region involved according to a specific attribute, i.e., normal, mild, moderate, high, severe, or extreme. In addition, we also propose to incorporate the emerging technologies of Space Time Frequency Spreading (STFS) and Space-Time Spreading-Aided Indexed Modulation (STS-IM) for the design of the communication links. It has been found that the integration of STFS and STS-IM promises to reduce the likelihood of data disruption for the proposed architecture.
AB - The ubiquity of sensor technology and the Internet of Things prompted us to propose to develop a real-time digital dashboard to visualize the anxiety risks of populations during a pandemic, as in the case of COVID-19. To this end, here we provide an end-to-end communication architecture to detect physiological data related to heart rate, blood pressure, and SPO2, using wearable sensors and communicate them to remote servers. Based on this collected data, the centralized dashboard will classify in real time the patients of each geographic region involved according to a specific attribute, i.e., normal, mild, moderate, high, severe, or extreme. In addition, we also propose to incorporate the emerging technologies of Space Time Frequency Spreading (STFS) and Space-Time Spreading-Aided Indexed Modulation (STS-IM) for the design of the communication links. It has been found that the integration of STFS and STS-IM promises to reduce the likelihood of data disruption for the proposed architecture.
KW - environmental sensors
KW - Internet of things
KW - real-time dashboards
KW - smart health
KW - wearable sensors
UR - http://www.scopus.com/inward/record.url?scp=85184630040&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685683
DO - 10.1109/GLOBECOM46510.2021.9685683
M3 - Conference article
AN - SCOPUS:85184630040
SN - 2334-0983
JO - Proceedings - IEEE Global Communications Conference, GLOBECOM
JF - Proceedings - IEEE Global Communications Conference, GLOBECOM
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
Y2 - 7 December 2021 through 11 December 2021
ER -