Predicting Deterioration from Wearable Sensor Data in People with Mild COVID-19
Coronavirus has caused many casualties and is still spreading. Some people experience rapid deterioration that is mild at first. The aim of this study is to develop a deterioration prediction model for mild COVID-19 patients during the isolation period. We collected vital signs from wearable devices...
Main Authors: | Jin-Yeong Kang, Ye Seul Bae, Eui Kyu Chie, Seung-Bo Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/23/9597 |
Similar Items
-
A novel deterioration prediction system for mild COVID-19 patients in Korea: a retrospective study
by: Seung-Bo Lee, et al.
Published: (2024-08-01) -
Assessing the Effects of Mild Traumatic Brain Injury on Vestibular Home Exercise Performance with Wearable Sensors
by: Kody R. Campbell, et al.
Published: (2023-12-01) -
Advances in Wearable Smart Chemical Sensors for Health Monitoring
by: Ning Ba, et al.
Published: (2024-12-01) -
Remote Healthcare for Elderly People Using Wearables: A Review
by: José Oscar Olmedo-Aguirre, et al.
Published: (2022-01-01) -
A Review of Wearable Optical Fiber Sensors for Rehabilitation Monitoring
by: Xiangmeng Li, et al.
Published: (2024-06-01)