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Hierarchically Structured PVDF/ZnO Core-shell Nanofibers for Self-powered Physiological Monitoring Electronics
Nano Energy ( IF 17.6 ) Pub Date : 2020-03-16 , DOI: 10.1016/j.nanoen.2020.104706
Tao Yang , Hong Pan , Guo Tian , Binbin Zhang , Da Xiong , Yuyu Gao , Cheng Yan , Xiang Chu , Ningjun Chen , Shen Zhong , Lei Zhang , Weili Deng , Weiqing Yang

Piezoelectric-based wearable electronics promise potential applications in human physiological monitoring for disease prediction, diagnose and rehabilitation. Still, it is a big challenge to fulfill excellent compatibility and precisely monitoring of the complexly subtle physiological signals simultaneously. Here, we prepared a three-dimensional hierarchically interlocked PVDF/ZnO nanofiber-based piezoelectric sensor through epitaxial growing ZnO nano rods (NRs) on the surface of electrospun PVDF nanofibers, which enables the fiber-based physiological monitoring electronics (PME) of well flexibility and high gas permeability. Due to synergistic piezoelectric effect of the effectively deformed interlocked ZnO NRs and the uniformly orientated PVDF nanofibers with high electroactive phase, the sensitivities of PME in both pressing and bending modes have been greatly improved 6 times and 41 times than that of pure PVDF nanofibers respectively. On this basis, the designed PME can precisely detect the complexly subtle physiological signals of respiration, wrist pulse and muscle behavior. Moreover, a sensitive gait recognition system was successfully developed based on PME arrays. Therefore, this proposed fiber-based device provides an alternative strategy to monitor the human subtle physiological signals and demonstrates promising potential in the expanded application of healthcare and clinical diagnosis.



中文翻译:

用于自供电生理监测电子的分层结构PVDF / ZnO核壳纳米纤维

基于压电的可穿戴电子产品有望在人类生理监测中用于疾病预测,诊断和康复。然而,实现出色的兼容性并同时精确地监视复杂的微妙生理信号仍然是一个巨大的挑战。在这里,我们通过在电纺PVDF纳米纤维表面上外延生长的ZnO纳米棒(NR)制备了三维分层互锁的PVDF / ZnO纳米纤维基压电传感器,这使基于纤维的生理监测电子设备(PME)具有良好的灵活性和高透气性。由于有效变形的互锁ZnO NR和具有高电活性相的均匀取向的PVDF纳米纤维的协同压电效应,与纯PVDF纳米纤维相比,PME在压制和弯曲模式下的灵敏度分别提高了6倍和41倍。在此基础上,设计的PME可以精确地检测出呼吸,腕部脉搏和肌肉行为等复杂而微妙的生理信号。此外,成功开发了基于PME阵列的灵敏步态识别系统。因此,该提出的基于纤维的设备提供了一种替代策略来监视人类细微的生理信号,并证明了在医疗保健和临床诊断的扩展应用中有希望的潜力。手腕脉搏和肌肉行为。此外,成功开发了基于PME阵列的灵敏步态识别系统。因此,该提出的基于纤维的设备提供了一种监测人类细微生理信号的替代策略,并在医疗保健和临床诊断的扩展应用中展示了有希望的潜力。手腕脉搏和肌肉行为。此外,成功开发了基于PME阵列的灵敏步态识别系统。因此,该提出的基于纤维的设备提供了一种监测人类细微生理信号的替代策略,并在医疗保健和临床诊断的扩展应用中展示了有希望的潜力。

更新日期:2020-03-16
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