A Low-Power Portable Gas Sensor System with Adaptive ROIC and Wi-Fi Communication for Biomedical Applications

This study presents a portable gas sensor system that achieves high performance while minimizing power consumption and production costs for biomedical applications. The proposed system integrates a low-power readout integrated circuit (ROIC) capable of processing large-amplitude sensor signals using a 1.2 V ADC, significantly reducing the power consumption compared with conventional high-voltage solutions. To address the inherent limitations of single-core/single-thread microcontrollers, an optimized Wi-Fi communication algorithm is implemented, enabling real-time data transmission and accurate signal reconstruction without data loss. Experimental validation using a hydrogen gas detection setup demonstrated that the system achieves less than 0.15% error in reconstructed signals, while substantially reducing overall power consumption and component cost. Comparative analysis confirms that the proposed approach achieves a performance comparable to conventional systems while offering significant reductions in energy usage and hardware expense. These results demonstrate the feasibility of a scalable, low-cost solution for portable gas sensing, particularly in biomedical applications requiring precise and reliable monitoring.

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Publication Details

Journal
Chemosensors
Published
2025-08-12
DOI
https://doi.org/10.3390/chemosensors13080303
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A Low-Power Portable Gas Sensor System with Adaptive ROIC and Wi-Fi Communication for Biomedical Applications

Hyeon‐June Kim, Byung-Choul Park, Soon-Kyu Kwon, Jun-Nyeong Kim
Chemosensors
Advanced Chemical Sensor Technologies
article

A Low-Power Portable Gas Sensor System with Adaptive ROIC and Wi-Fi Communication for Biomedical Applications

Hyeon‐June Kim, Byung-Choul Park, Soon-Kyu Kwon, Jun-Nyeong Kim
article en

Abstract

This study presents a portable gas sensor system that achieves high performance while minimizing power consumption and production costs for biomedical applications. The proposed system integrates a low-power readout integrated circuit (ROIC) capable of processing large-amplitude sensor signals using a 1.2 V ADC, significantly reducing the power consumption compared with conventional high-voltage solutions. To address the inherent limitations of single-core/single-thread microcontrollers, an optimized Wi-Fi communication algorithm is implemented, enabling real-time data transmission and accurate signal reconstruction without data loss. Experimental validation using a hydrogen gas detection setup demonstrated that the system achieves less than 0.15% error in reconstructed signals, while substantially reducing overall power consumption and component cost. Comparative analysis confirms that the proposed approach achieves a performance comparable to conventional systems while offering significant reductions in energy usage and hardware expense. These results demonstrate the feasibility of a scalable, low-cost solution for portable gas sensing, particularly in biomedical applications requiring precise and reliable monitoring.

ChemosensorsVol. 13(8)
Seoul National University of Science and Technology (KR), Myongji University (KR)
IC Design Education Center, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 81%
Advanced Chemical Sensor Technologies
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