Mechanical fiber sensors that can be seamlessly integrated into traditional fabrics have significant potential for imperceptible sleep monitoring. Wet-spinning techniques are an effective method for fabricating fiber sensors. However, the sensors produced by this process have a single, homogeneous linear structure, which limits their high sensitivity and linearity to low-pressure ranges and presents challenges for stability. To address this issue, we propose an improved wet-spinning process for the large-scale production of a capacitive sensor that features both multilevel structure of varying heights and a core-sheath configuration (with commercial conductive yarn as the core and TPU as the sheath).Thanks to its multilevel structure, a multilevel structure fabric pressure sensing belt (MSFPSB) woven from this fiber sensor exhibits excellent linearity (R2 = 0.998) and sensitivity (0.077 kPa⁻1) over a pressure range of 3.3–30 kPa. Furthermore, the commercial conductive core ensures the sensor's stability after 4000 compression cycles. Additionally, we have developed a battery-free, wireless, stick-on-and-use-immediately data acquisition tag based on near-field communication (NFC). The tag works with a reader placed 5 cm away to imperceptibly monitor breathing, ballistocardiogram (BCG), and body motion signals during both work and sleep. This approach enhances the comfort of sleep monitoring and helps detect potential sleep disorders.
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Funding
Graduate research and innovation foundation of Chongqing, China(CYB240014)
National Key Research and Development Project(2021YFA1201602)
Fundamental Research Funds for Central Universities of the Central South University(2024CDJYXTD-004)
Natural Science Foundation Projects of Chongqing(cstc2022ycjh-bgzxm0206)
Natural Science Foundation of Innovative Research Groups under Grant(cstc2020jcyj-cxttX0005)
Science and Technology Funds of Chongqing Municipal Education Commission(KJQN202100539,KJQN202100533)
Chongqing Natural Science Foundation Innovation and Development Joint Fund(CSTB2023NSCQ-LZX0063)
RIGHTS & PERMISSIONS
Donghua University, Shanghai, China