Continuous Glycemic Monitoring Enabled by A Wi‐Fi Energy‐Harvesting Wearable Sweat‐Sensing Patch

Author:

Mirlou Fariborz1ORCID,Abbasiasl Taher1ORCID,Mirzajani Hadi2ORCID,Istif Emin23ORCID,Akhtar Muhammad Junaid4,Cakır Cengiz5,Beker Levent126ORCID

Affiliation:

1. Department of Biomedical Sciences and Engineering Koç University Rumelifeneri Yolu, Sarıyer Istanbul 34450 Turkey

2. Department of Mechanical Engineering Koç University Rumelifeneri Yolu, Sarıyer Istanbul 34450 Turkey

3. Faculty of Engineering and Natural Sciences Kadir Has University Cibali Istanbul 34083 Turkey

4. Department of Electrical and Electronics Engineering Koç University Rumelifeneri Yolu, Sarıyer Istanbul 34450 Turkey

5. Department of Electronics and Communication Engineering Istanbul Technical University 18 Maslak Istanbul 34469 Turkey

6. Koç University Research Center for Translational Research (KUTTAM) Rumelifeneri Yolu, Sarıyer Istanbul 34450 Turkey

Abstract

AbstractContinuous monitoring of multiple physiological parameters, such as glucose levels, temperature, and heart rate variability (HRV) is crucial for effective diabetes management and mitigating the risks associated with hypoglycemic events. These events often occur without apparent symptoms, posing a challenge for diabetic patients in managing their condition. Therefore, a non‐invasive wearable device capable of continuously measuring multiple body signals to predict hypoglycemic events would be highly beneficial. In this study, a wearable patch that continuously measures glucose, temperature, and HRV is presented. The device uses a novel power harvesting system to convert radiofrequency (RF) signals with the frequency of 2.45 GHz to direct current (DC) signals to extend the battery life for further continuous monitoring. The patch is small and has a conformal structure that can easily fit onto different body parts. The screen‐printed glucose sensor demonstrates a sensitivity of 10.3 nA cm−2 µM−1, a limit of detection (LOD) of 8.9 µM, and a limit of quantification (LOQ) of 27 µM. The device employs a photoplethysmography (PPG) module with a peak‐finding algorithm to calculate the HRV values. In vivo experiments demonstrate the validation of the device's proper operation in glucose, HRV, and temperature measurement.

Funder

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

European Research Council

Publisher

Wiley

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