Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48340, first published .
Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation

Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation

Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation

Bohan Shi   1, 2 , PhD ;   Satvinder Singh Dhaliwal   3, 4, 5 , PhD ;   Marcus Soo   1 , BEng ;   Cheri Chan   6 , BSc ;   Jocelin Wong   1 , BEng ;   Natalie W C Lam   2 , BSc ;   Entong Zhou   2 , GCE ;   Vivien Paitimusa   2 , GCE ;   Kum Yin Loke   2 , BSc ;   Joel Chin   2 , BEng ;   Mei Tuan Chua   6 , MN ;   Kathy Chiew Suan Liaw   6 , BSc ;   Amos W H Lim   1 , MSc ;   Fadil Fatin Insyirah   6 , BSc ;   Shih-Cheng Yen   7 , PhD ;   Arthur Tay   8 , PhD ;   Seng Bin Ang   9, 10 , MD

1 Actxa Pte Ltd, Singapore, Singapore

2 Activate Interactive Pte Ltd, Singapore, Singapore

3 Curtin Health Innovation Research Institute, Curtin University, Perth, Australia

4 Faculty of Health Sciences, Curtin University, Perth, Australia

5 Duke-NUS Graduate Medical School, National University of Singapore, Singapore, Singapore

6 KK Women’s and Children’s Hospital, Singapore, Singapore

7 Innovation and Design Programme, Faculty of Engineering, National University of Singapore, Singapore, Singapore

8 Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

9 Family Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore

10 Menopause Unit, KK Women’s and Children’s Hospital, Singapore, Singapore

Corresponding Author: