Accurate expression of neck motion signal by piezoelectric sensor data analysis

作     者：Neng Shi Haonan Jia Jixiang Zhang Pengyu Lu Chenglong Cai Yixin Zhang Liqiang Zhang Nongyue He Weiran Zhu Yan Cai Zhangqi Feng Ting Wang Neng Shi;Haonan Jia;Jixiang Zhang;Pengyu Lu;Chenglong Cai;Yixin Zhang;Liqiang Zhang;Nongyue He;Weiran Zhu;Yan Cai;Zhangqi Feng;Ting Wang

作者机构：State Key Laboratory of Digital Medical EngineeringNational Demonstration Center for Experimental Biomedical Engineering EducationSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjing 210096China SceneRay Co.Ltd.Suzhou 215123China School of Chemistry and Chemical EngineeringNanjing University of Science and TechnologyNanjing 210094China 

出 版 物：《Chinese Chemical Letters》 (中国化学快报（英文版）)

年 卷 期：2024年第35卷第9期

页      面：250-256页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 0802[工学-机械工程] 

基　　金：the National Key R&D Plan(No.2017YFA0205304) NSFC(Nos.61821002,12072074) SceneRay Co.,Ltd Nanjing Chipsemi Electronic Technology Co.,Ltd.for the financial support 

主　　题：Piezoelectric transducer Wavelet decomposition Muscle motion signal Signal analysis Noise component Healthcare monitoring 

摘      要：The development of high-precision sensors using flexible piezoelectric materials has the advantages of high sensitivity,high stability,good durability,and *** main problem with sensing equipment is low sensitivity,which is due to the mismatch between materials and analysis methods,resulting in the inability to effectively eliminate *** address this issue,we developed the denoising analysis method to motion signals captured by a flexible piezoelectric sensor fabricated from poly(l-lactic acid)(PLLA)and polydimethylsiloxane(PDMS)*** results demonstrate that this improved denoising method effectively removes noise components from neck muscle motion signals,thus obtaining high-quality,low-noise motion signal *** decomposition and reconstruction is a signal processing technique that involves decomposing a signal into different scales and frequency components using wavelets and then selectively reconstructing the signal to emphasize specific features or eliminate *** study employed the sym8 wavelet basis for wavelet decomposition and *** the denoised signals,a high degree of stability and periodic peaks are distinctly manifested,while amplitude and frequency differences among different types of movements also become noticeably *** a result of this study,we are enabled to accurately analyze subtle variations in neck muscle motion signals,such as nodding,shaking the head,neck lateral flexion,and neck *** temporal and frequency domain analysis of denoised motion signals,differentiation among various motion states can be ***,this improved analytical approach holds broad application prospects across various types of piezoelectric sensors,such as healthcare monitoring,sports biomechanics.