Development and Analysis of a Wearable Biopatch for Electrocardiogram Monitoring and Hydration Assessment

Biopatch is emerging as an innovative device in the field of health monitoring. The goal of this article is to create an adhesive biopatch that can be applied to the user's skin to measure electrocardiogram (ECG), body temperature, and inertial measurement unit (IMU) data. Then, sets of data are then collected in four different environments: running with and without water intake, and resting with and without water intake. In this case, the ECG data was analyzed to indicate the user's hydration state. Future applications of this data involve the integration of machine learning algorithms to predict hydration levels, contributing to essential health monitoring. Although this technology has the potential to improve personal healthcare, more research and technological advancement are needed to reach its full potential.

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Publication Details

Journal
Journal of Student Research
Published
2025-02-28
DOI
https://doi.org/10.47611/jsrhs.v14i1.8339
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Development and Analysis of a Wearable Biopatch for Electrocardiogram Monitoring and Hydration Assessment

Woon‐Hong Yeo, Taewoog Kang, Jiho Jun
Journal of Student Research
Advanced Sensor and Energy Harvesting Materials
article

Development and Analysis of a Wearable Biopatch for Electrocardiogram Monitoring and Hydration Assessment

Woon‐Hong Yeo, Taewoog Kang, Jiho Jun
article en

Abstract

Biopatch is emerging as an innovative device in the field of health monitoring. The goal of this article is to create an adhesive biopatch that can be applied to the user's skin to measure electrocardiogram (ECG), body temperature, and inertial measurement unit (IMU) data. Then, sets of data are then collected in four different environments: running with and without water intake, and resting with and without water intake. In this case, the ECG data was analyzed to indicate the user's hydration state. Future applications of this data involve the integration of machine learning algorithms to predict hydration levels, contributing to essential health monitoring. Although this technology has the potential to improve personal healthcare, more research and technological advancement are needed to reach its full potential.

Journal of Student ResearchVol. 14(1)
Openalex Percentile: Top 79%
Advanced Sensor and Energy Harvesting Materials
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