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

Jun Nyeong Kim, Soon Kyu Kwon, Byung Choul Park, Hyeon June Kim

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number303
JournalChemosensors
Volume13
Issue number8
DOIs
StatePublished - Aug 2025

Keywords

  • adaptive signal processing
  • biomedical gas sensing
  • cost-effective sensor system design
  • low-power readout circuit
  • portable gas sensor system
  • single-core MCU optimization
  • Wi-Fi communication algorithm

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