Toward Precision Health: A Bluetooth-Enabled, Miniaturized Glucose Monitoring Wearable

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2025-02-26 DOI:10.1109/JSEN.2025.3543565

Mohammad Mansour;Samar H. Tawakey;Alyaa I. Salim;Sayed T. Muhammad;Ahmed Soltan

{"title":"Toward Precision Health: A Bluetooth-Enabled, Miniaturized Glucose Monitoring Wearable","authors":"Mohammad Mansour;Samar H. Tawakey;Alyaa I. Salim;Sayed T. Muhammad;Ahmed Soltan","doi":"10.1109/JSEN.2025.3543565","DOIUrl":null,"url":null,"abstract":"In this work, a miniaturized, Bluetooth-enabled glucose monitoring wearable patch is proposed. The device integrates improved potentiostatic systems and microneedle technology to enable minimally invasive and real-time monitoring of glucose levels. For the microneedle autocalibration, an automatic glucose oxidation peak detector algorithm is implemented within the microcontroller for more stability in glucose measurements. The calibration process also reduces the operation time during chronoamperometric measurements. The device’s functionality is extended beyond continuously monitoring glucose in the interstitial fluid (ISF) by integrating off-the-shelf sensors for heart rate and body temperature monitoring. The integration of these sensors and the wireless communication protocol is managed to ensure the seamless operation, minimal power consumption, and user comfort. The device operates using a dedicated cross-platform application to collect and display data. The sensitivity of the glucose sensor is <inline-formula> <tex-math>${30}.{44}~\\text {nA}/\\text {mM}$ </tex-math></inline-formula>, covering a dynamic range of <inline-formula> <tex-math>${1}.{5}{-}{14}~\\text {mM}$ </tex-math></inline-formula>. Through a detailed examination of power management strategies and sensor data integrity, this study demonstrates the feasibility of such integrated health monitoring devices for everyday use. With ultralow power consumption of <inline-formula> <tex-math>${103}~\\mu \\text {W}$ </tex-math></inline-formula>, the device has an extended battery life of \\text {204} days by using a smart energy management technique. Moreover, the microneedle sensor offers a long lifespan of \\text {15} days before needing replacement. The device has potential utility in the personalized healthcare and clinical settings.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11971-11981"},"PeriodicalIF":4.3000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10904128/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

In this work, a miniaturized, Bluetooth-enabled glucose monitoring wearable patch is proposed. The device integrates improved potentiostatic systems and microneedle technology to enable minimally invasive and real-time monitoring of glucose levels. For the microneedle autocalibration, an automatic glucose oxidation peak detector algorithm is implemented within the microcontroller for more stability in glucose measurements. The calibration process also reduces the operation time during chronoamperometric measurements. The device’s functionality is extended beyond continuously monitoring glucose in the interstitial fluid (ISF) by integrating off-the-shelf sensors for heart rate and body temperature monitoring. The integration of these sensors and the wireless communication protocol is managed to ensure the seamless operation, minimal power consumption, and user comfort. The device operates using a dedicated cross-platform application to collect and display data. The sensitivity of the glucose sensor is

${30}.{44}~\text {nA}/\text {mM}$

, covering a dynamic range of

${1}.{5}{-}{14}~\text {mM}$

. Through a detailed examination of power management strategies and sensor data integrity, this study demonstrates the feasibility of such integrated health monitoring devices for everyday use. With ultralow power consumption of

${103}~\mu \text {W}$

, the device has an extended battery life of \text {204} days by using a smart energy management technique. Moreover, the microneedle sensor offers a long lifespan of \text {15} days before needing replacement. The device has potential utility in the personalized healthcare and clinical settings.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice