A wearable nanoscale heart sound sensor based on P(VDF-TrFE)/ZnO/GR and its application in cardiac disease detection

Yi Luo; Jian Liu; Jiachang Zhang; Yu Xiao; Ying Wu; Zhidong Zhao

doi:10.3762/bjnano.14.67

A wearable nanoscale heart sound sensor based on P(VDF-TrFE)/ZnO/GR and its application in cardiac disease detection

Beilstein J Nanotechnol. 2023 Jul 31:14:819-833. doi: 10.3762/bjnano.14.67. eCollection 2023.

Authors

Yi Luo¹, Jian Liu², Jiachang Zhang¹, Yu Xiao², Ying Wu³, Zhidong Zhao⁴

Affiliations

¹ School of Electronics and Information Engineering, Hangzhou DIANZI University, Hangzhou 310018, China.
² School of Communication Engineering, Hangzhou DIANZI University, Hangzhou 310018, China.
³ Academic Affairs Office, Hangzhou DIANZI University, Hangzhou 310018, China.
⁴ School of Cyberspace Security, Hangzhou DIANZI University, Hangzhou 310018, China.

Abstract

This paper describes a method for preparing flexible composite piezoelectric nanofilms of P(VDF-TrFE)/ZnO/graphene using a high-voltage electrospinning method. Composition and β-phase content of the piezoelectric composite films were analyzed using X-ray diffraction. The morphology of the composite film fibers was observed through scanning electron microscopy. Finally, the P(VDF-TrFE)/ZnO/graphene composite film was encapsulated in a sandwich-structure heart sound sensor, and a visual heart sound acquisition and classification system was designed using LabVIEW. A heart sound classification model was trained based on a fine K-nearest neighbor classification algorithm to predict whether the collected heart sounds are normal or abnormal. The heart sound detection system designed in this paper can collect heart sound signals in real time and predict whether the heart sounds are normal or abnormal, providing a new solution for the diagnosis of heart diseases.

Keywords: composite piezoelectric nanofilm; electrospinning; heart sound classification algorithm; heart sound sensor; heart sound stethoscope.