Continuous Glucose Monitoring Using a Wearable Phosphorescence Lifetime Imager and Machine Learning
Conference
Goncharov, A, Gorocs, Z, Pradhan, R et al. (2025). Continuous Glucose Monitoring Using a Wearable Phosphorescence Lifetime Imager and Machine Learning
. 10.1364/cleo_at.2025.aa111_2
Goncharov, A, Gorocs, Z, Pradhan, R et al. (2025). Continuous Glucose Monitoring Using a Wearable Phosphorescence Lifetime Imager and Machine Learning
. 10.1364/cleo_at.2025.aa111_2
Goncharov, A; Gorocs, Z; Pradhan, R; Ko, B; Ajmal, A; Rodriguez, A; Baum, D; Veszpremi, M; Yang, X; Pindrys, M; Zheng, T; Wang, O; Ramella-Roman, JC; McShane, MJ; Ozcan, A
abstract
We present a misalignment-resilient continuous glucose monitoring system leveraging an insertable sensor and a wearable phosphorescence lifetime imager. In vitro testing revealed 88.8% accuracy in classifying glucose levels as normal, low, and high concentration ranges.
