Accuracy of algorithm to non-invasively predict core body temperature using the kenzen wearable device

Accuracy of algorithm to non-invasively predict core body temperature using the kenzen wearable device

10.3390/ijerph182413126

Saved in:
Bibliographic Details
Main Authors: Moyen, Nicole E., Bapat, Rohit C., Tan, Beverly, Hunt, Lindsey A., Jay, Ollie, Mündel, Toby
Other Authors: DEAN'S OFFICE (MEDICINE)
Format: Article
Published: MDPI 2022
Subjects:
Extended Kalman filter
Heart rate
Heat illness
Heat injury
Heat stress
Machine learning
Online Access:https://scholarbank.nus.edu.sg/handle/10635/232277
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/232277

Similar Items