Accuracy enhancement of metabolic index-based blood glucose estimation with a screening process for low-quality data.

ABSTRACT:

Significance

Many researchers have proposed various non-invasive glucose monitoring (NIGM) approaches using wearable or portable devices. However, due to the limited capacity of detectors for such compact devices and the movement of the body during measurement, the precision of the acquired data frequently diminishes, which can cause problems during actual use in daily life. In addition, intensive smoothing is often used in post-processing to mitigate the effects of erroneous values. However, this requires a considerable amount of data and results in a delay in the response to the actual blood glucose level (BGL).

Aim

Instead of just applying data smoothing in the post-process of the data acquisition, we propose an active low-quality data screening method in the pre-process.

SUBMITTER: Nakazawa T 

PROVIDER: S-EPMC11503645 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature