<br>基于离子液体掺杂聚（L-乳酸）的柔性压电传感器用于人体咳嗽识别,Advanced Materials Technologies

当前位置： X-MOL 学术 › Adv. Mater. Technol. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

基于离子液体掺杂聚（L-乳酸）的柔性压电传感器用于人体咳嗽识别
Advanced Materials Technologies ( IF 6.4 ) Pub Date : 2024-04-12 , DOI: 10.1002/admt.202400386
Zifeng He ₁ , Yijie Liu ₁ , Ivan S. Babichuk _{1,

2} , Zisen Zhou ₁ , Zhaohua Liu ₁ , Xiongbang Yang ₁ , Ruiliang Zhou ₁ , Yan Pu ₁ , Shuhao Li ₁ , Yu Chang ₁ , Terry Tao Ye ₃ , Zhaoli Gao _{4,

5} , Jian Yang ₁

Affiliation

咳嗽是多种呼吸道疾病的常见症状。然而，由于咳嗽的复杂性以及声学采集容易受到外部干扰的影响，使用声学成像识别受试者的咳嗽可能具有挑战性。本研究旨在通过利用柔性压电离子液体掺杂聚（L-乳酸）（PLLA）传感器收集人体表面的压力信号来解决这些问题。 1-丁基-3-甲基咪唑双(三氟甲基磺酰)亚胺([BMIm]TFSI)离子液体(IL)可以增强PLLA薄膜的压电性能，相应的输出电压和冲击灵敏度提高至三倍和105.1% PLLA/IL 薄膜，具有 1 wt% IL，140 °C 退火 2 小时，拉伸比为四倍。研究了离子液体在薄膜制备过程中对结晶行为和压电性能的影响。将柔性 PLLA/IL 传感器集成到可穿戴电子系统中，该系统收集咳嗽引起的振动的压电信号并将其传输到滤波器进行降噪，然后使用经验模式分解方法对获取的咳嗽数据进行分解并进行多层训练检测人类咳嗽的感知模型。显然，柔性压电PLLA/IL传感器可应用于人体咳嗽识别，并在智能医疗领域展现出巨大的应用潜力。

"点击查看英文标题和摘要"

Flexible Piezoelectric Sensors Based on Ionic Liquid-doped Poly(L-Lactic Acid) for Human Coughing Recognition

Cough is a common symptom of various respiratory diseases. However, recognizing a subject's cough using acoustic imaging can be challenging due to the complexity of coughing and the vulnerability of acoustic acquisition to external interference. This research aims to address these issues by utilizing a flexible piezoelectric ionic liquid-doped poly(L-lactic acid) (PLLA) sensor to gather the pressure signals from the human surface. 1-butyl-3-methylimidazolium bis (trifluoromethylsulfonyl)imide ([BMIm]TFSI) ionic liquid (IL) can enhance the piezoelectric performance of PLLA thin film, the corresponding output voltage, and impact sensitivity are improved to three times and 105.1% for the PLLA/IL thin film with 1 wt% IL, 140 °C annealing 2 h and four times drawing ratio. The effect of IL on the crystallization behavior and piezoelectric properties of thin films during their preparation is investigated. The flexible PLLA/IL sensor is integrated into a wearable electronic system which collects and transmits piezoelectric signals from cough-induced vibrations to the filter for denoising, then the acquired cough data are decomposed using the Empirical Mode Decomposition method and trained in a multi-layer perception model to detect human coughing. It's evident that the flexible piezoelectric PLLA/IL sensors can be applied to human coughing recognition and show great potential applications in intelligent healthcare.

更新日期：2024-04-12

点击分享查看原文

点击收藏

阅读更多本刊新发论文本刊介绍/投稿指南