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Recent advances in flexible hydrogel sensors: Enhancing data processing and machine learning for intelligent

Derrick Boateng1, Xukai Li2, Yuhan Zhu2

  • 1College of Applied Sciences, Shenzhen University, Shenzhen, 518060, China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, 518060, China; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, 518188, China.

Biosensors & Bioelectronics
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Summary

This review explores how machine learning (ML) enhances flexible hydrogel sensors for intelligent perception. It details data processing techniques crucial for advancing wearable electronics and soft robotics.

Keywords:
Data processingFlexible hydrogel sensorsIntelligent perceptionMachine learning (ML)

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Area of Science:

  • Materials Science
  • Electronics Engineering
  • Artificial Intelligence

Background:

  • Hydrogel-based flexible sensors are vital for wearable electronics and soft robotics.
  • Machine learning (ML) algorithms are increasingly integrated to improve sensor data processing.
  • A gap exists in reviews focusing on ML-driven data analysis for hydrogel sensors.

Purpose of the Study:

  • To comprehensively review ML applications in flexible hydrogel sensing.
  • To examine data processing techniques for raw sensor data.
  • To provide insights for future data-driven applications in this field.

Main Methods:

  • Literature review of recent advancements in ML and hydrogel sensors.
  • Analysis of data processing strategies for flexible hydrogel sensor data.
  • Synthesis of findings across diverse application areas.

Main Results:

  • ML algorithms significantly enhance intelligent perception in hydrogel sensors.
  • Various data processing techniques are crucial for extracting meaningful information.
  • Fusion of ML with hydrogel sensors shows promise for advanced applications.

Conclusions:

  • ML integration is key to unlocking the full potential of flexible hydrogel sensors.
  • Understanding data processing is essential for future innovations.
  • This review offers a roadmap for data-driven advancements in intelligent sensing.