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Pullulan-based semi-interpenetrating network hydrogel sensor for artificial intelligence-driven pressure recognition.

Yumo She1, Yiqi Li2, Bingle Li2

  • 1Department of Gastroenterology, Endoscopic Center, Shengjing Hospital of China Medical University, Shenyang 110004, China.

Journal of Colloid and Interface Science
|February 18, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel hydrogel sensor (PKPM-S) for enhanced mechanical properties and high sensitivity. This advanced sensor enables wireless monitoring of human movement and gait recognition for medical rehabilitation applications.

Keywords:
Gait recognitionHuman-machine interactionHydrogel sensorMXenePullulan polysaccharide

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Area of Science:

  • Materials Science
  • Biomedical Engineering
  • Polymer Science

Background:

  • Hydrogel sensors are increasingly important for detecting various stimuli.
  • Developing hydrogels with improved mechanical properties and sensing capabilities is crucial for advanced applications.

Purpose of the Study:

  • To develop a novel semi-interpenetrating network (sIPN) hydrogel sensor (PKPM-S) with enhanced mechanical strength and high sensitivity.
  • To integrate this hydrogel sensor into a wireless remote monitoring system for human movement analysis.
  • To explore the potential of this system for gait recognition and assistive rehabilitation.

Main Methods:

  • A one-pot method was used to synthesize the sIPN hydrogel from polyvinyl alcohol (PVA) and pullulan polysaccharide (PUL), incorporating MXene and potassium chloride (KCl).
  • Solketal (SK) treatment was employed for network contraction to enhance mechanical properties, resulting in the PKPM-S hydrogel.
  • A wireless remote intelligent monitoring system was developed using the PKPM-S hydrogel and Bluetooth technology, incorporating a convolutional neural network (CNN) for data analysis.

Main Results:

  • The PKPM-S hydrogel exhibited a 9.6-fold improvement in mechanical properties, with a maximum fracture strength of 5.706 MPa.
  • Compressive performance was enhanced by a factor of 2 at strains below 40%.
  • The hydrogel demonstrated high sensitivity (gauge factor of 4.6) and a rapid response time (100 ms).

Conclusions:

  • The developed PKPM-S hydrogel offers superior mechanical properties and sensing performance.
  • The wireless monitoring system shows promise for accurate gait recognition and assistive rehabilitation.
  • This hydrogel sensor has significant potential for applications in medical rehabilitation and artificial intelligence (AI).