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September 19, 2025InfoMat12 citationsOpen Access

Flexible electromyography sensor with in situ gelation hydrogel for early diagnosis of lumbar spine diseases

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MZMingxuan ZhangMHMingming HaoGRGuoqiang Ren

Key Points

  • The flexible electromyography sensor significantly improves adhesion and patient comfort during prolonged use.
  • With a strong adhesion 15 times greater than traditional EMG electrodes, the sensor reduces contact impedance to 40 kΩ/cm².
  • Achieving a high signal-to-noise ratio of 23.28 dB, this method enhances the monitoring of subtle electrophysiological signals.
  • The research supports a shift from reactive treatment to proactive prevention of lumbar disorders, encouraging early intervention.

Abstract

Abstract Prolonged sitting is a major risk factor for lumbar spine disorders, significantly affecting both physical and mental health. However, conventional clinical diagnosis primarily relies on imaging evaluations conducted after symptom onset, often missing opportunities for early intervention and allowing for disease progression. To address this, this paper presents a diagnostic method based on electromyography (EMG) using an adaptive flexible electromyography sensor (FES). The FES consists of a thermo‐responsive in situ gelation hydrogel and flexible mesh electrode patch. The hydrogel undergoes a sol–gel transition at body temperature, enabling conformal skin contact and strong adhesion. As a result, the adhesion of the FES is 15 times stronger than that of conventional EMG electrodes. Consequently, the contact impedance is significantly reduced to 40 kΩ/cm 2 at 10 Hz, and a high signal‐to‐noise ratio of 23.28 dB is achieved, allowing for the effective monitoring of subtle electrophysiological signals during prolonged sitting. Overall, this research provides a foundation for the early‐stage diagnosis of lumbar disorders, facilitating the transition of lumbar disease management from reactive treatment to proactive prevention. image

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Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68d464e031b076d99fa63b77https://doi.org/10.1002/inf2.70066
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