Demonstrates enhanced motion detection and sleep staging using innovative organogel in wearable devices, suggesting improvements for health monitoring.
Flexible wearable electronics integrated with deep learning algorithms have exhibited tremendous potential for long-term personalized health monitoring. However, conventional hydrogel-based sensing electrodes are plagued by inevitable dehydration, poor low-temperature tolerance, and severe motion artifacts, which greatly restrict their long-term service stability and signal fidelity. Herein, we develop a highly stable and multifunctional deep eutectic organogel by in situ polymerization of acrylamide and sodium acrylate within a ternary deep eutectic solvent (DES) system, incorporating polyvinylpyrrolidone (PVP)-stabilized carboxylated multiwalled carbon nanotubes (MWCNT-COOH) as conductive fillers. The as-prepared organogel exhibits outstanding long-term antidehydration performance (only 4.05% weight loss after 31 days), excellent low-temperature resistance (no freezing at −76 °C), and universal interfacial adhesion to diverse substrates. Benefiting from the dynamic coordination bonds and dense hydrogen-bonding networks, the eutectogel achieves remarkable stretchability (up to 880% strain), favorable mechanical strength, rapid self-healing performance, and reliable cyclic stability. Moreover, the eutectogel-based strain sensor demonstrates high sensitivity, fast response, and excellent durability in detecting diverse human motions ranging from subtle swallowing behaviors to large-scale limb movements. More importantly, the organogel electrode enables stable, high-fidelity electrocardiogram (ECG) monitoring for four consecutive nights without obvious signal attenuation. Assisted by a one-dimensional convolutional neural network with a bidirectional gated recurrent unit (CNN-BiGRU) deep learning model, the system realizes accurate intelligent sleep staging (average accuracy up to 93%) for wakefulness, light sleep, and deep sleep stages. This work provides a promising strategy for designing high-performance deep eutectic polymer gels and demonstrates their great potential in flexible wearable electronics, healthcare monitoring, and intelligent diagnostics.
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Yang et al. (2026) studied this question.
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