Revolutionizing Glucose Monitoring

Innovative research for non-invasive blood glucose analysis using advanced signal processing techniques.

Innovative Research Solutions

We specialize in developing advanced models for non-invasive blood glucose monitoring through comprehensive research and validation.

A person is testing their blood sugar using a glucometer. The person's hand holds the device with a test strip inserted and a drop of blood on their fingertip. They are wearing a silver watch and a black wristband.
A person is testing their blood sugar using a glucometer. The person's hand holds the device with a test strip inserted and a drop of blood on their fingertip. They are wearing a silver watch and a black wristband.
Data Collection Phase

We gather extensive datasets from various non-invasive blood glucose monitoring devices under diverse conditions.

A person is using a white device, possibly a blood glucose meter, on a wooden table. The person is holding the device in one hand while the other hand seems to be touching the tip of a finger, likely for blood sampling.
A person is using a white device, possibly a blood glucose meter, on a wooden table. The person is holding the device in one hand while the other hand seems to be touching the tip of a finger, likely for blood sampling.
Model Development Phase

Utilizing APIs, we develop and fine-tune models for optimal performance in signal analysis.

A blood glucose meter is centrally placed on a beige surface, displaying a reading of 103 mg/dL. To its left is a blue lancet for blood sampling, and a black test strip. On the right side is a white and gray lancing device.
A blood glucose meter is centrally placed on a beige surface, displaying a reading of 103 mg/dL. To its left is a blue lancet for blood sampling, and a black test strip. On the right side is a white and gray lancing device.
A white digital blood glucose meter displaying a reading of 103 mg/dL is placed next to a white lancet device on a light brown surface.
A white digital blood glucose meter displaying a reading of 103 mg/dL is placed next to a white lancet device on a light brown surface.
Data Collection

Gathering diverse glucose signal datasets for analysis.

A person holds a white blood glucose meter displaying a reading of 103 mg/dL. The device features a digital screen with additional icons and information.
A person holds a white blood glucose meter displaying a reading of 103 mg/dL. The device features a digital screen with additional icons and information.
Model Training

Developing and fine-tuning analytical models using collected data.

A digital glucose meter and a lancing device are placed on a light brown surface. The glucose meter displays a reading of 103 mg/dL along with other indicators. The lancing device is cylindrical, primarily white with gray accents.
A digital glucose meter and a lancing device are placed on a light brown surface. The glucose meter displays a reading of 103 mg/dL along with other indicators. The lancing device is cylindrical, primarily white with gray accents.

Our research design will involve three main phases. First, we will collect a large dataset of signals from non - invasive blood glucose monitoring devices. This dataset will include various types of signals under different physiological and environmental conditions.

Research

Our models optimize non-invasive glucose monitoring accuracy.

© 2025. All rights reserved.