Quality evaluation of ballistocardiogram from fiber optic sensors using fuzzy comprehensive evaluation method

IF 2.6 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Optical Fiber Technology Pub Date : 2024-11-26 DOI:10.1016/j.yofte.2024.104046

Jianing Ma , Zhiguo Jiang , Shuxia Qian , Bingchen Yan , Xianchao Zhang

{"title":"Quality evaluation of ballistocardiogram from fiber optic sensors using fuzzy comprehensive evaluation method","authors":"Jianing Ma , Zhiguo Jiang , Shuxia Qian , Bingchen Yan , Xianchao Zhang","doi":"10.1016/j.yofte.2024.104046","DOIUrl":null,"url":null,"abstract":"<div><div>Evaluating the quality of ballistocardiogram (BCG) is crucial for enhancing the accuracy of subsequent physiological parameter extraction. The micro-bend fiber optic BCG sensor and fiber Bragg grating BCG sensor are designed and manufactured, and experiments show that they can effectively acquire BCG. A BCG quality evaluation model based on fuzzy comprehensive evaluation is established, which uses four BCG evaluation indicators in time-domain and frequency-domain, including ratio of coefficient of variation, matching degree of J-wave detection, ratio of power spectral density, coefficient of template matching. By analyzing the quality of 800 manually labeled signal samples, the fuzzy membership functions for the four BCG evaluation indicators are determined. Considering the different noise features of various fiber optic sensors, different weight distributions are applied to BCG evaluation indicators for the micro-bend fiber optic BCG sensor and fiber Bragg grating BCG sensor. Applying the quality evaluation model to signals acquired at different times from two types of fiber optic sensors, and classifying them into excellent, average, and poor categories, the accuracy of BCG quality determination for the two types of sensors is 84.50% and 85.25%, respectively.</div></div>","PeriodicalId":19663,"journal":{"name":"Optical Fiber Technology","volume":"89 ","pages":"Article 104046"},"PeriodicalIF":2.6000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Fiber Technology","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1068520024003912","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

Evaluating the quality of ballistocardiogram (BCG) is crucial for enhancing the accuracy of subsequent physiological parameter extraction. The micro-bend fiber optic BCG sensor and fiber Bragg grating BCG sensor are designed and manufactured, and experiments show that they can effectively acquire BCG. A BCG quality evaluation model based on fuzzy comprehensive evaluation is established, which uses four BCG evaluation indicators in time-domain and frequency-domain, including ratio of coefficient of variation, matching degree of J-wave detection, ratio of power spectral density, coefficient of template matching. By analyzing the quality of 800 manually labeled signal samples, the fuzzy membership functions for the four BCG evaluation indicators are determined. Considering the different noise features of various fiber optic sensors, different weight distributions are applied to BCG evaluation indicators for the micro-bend fiber optic BCG sensor and fiber Bragg grating BCG sensor. Applying the quality evaluation model to signals acquired at different times from two types of fiber optic sensors, and classifying them into excellent, average, and poor categories, the accuracy of BCG quality determination for the two types of sensors is 84.50% and 85.25%, respectively.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

利用模糊综合评价法对光纤传感器采集的球形心动图进行质量评价

评估球形心动图（BCG）的质量对于提高后续生理参数提取的准确性至关重要。本文设计并制造了微弯光纤 BCG 传感器和光纤布拉格光栅 BCG 传感器，实验表明它们能有效地获取 BCG。建立了基于模糊综合评价的BCG质量评价模型，采用时域和频域四个BCG评价指标，包括变异系数比、J波检测匹配度、功率谱密度比、模板匹配系数。通过对 800 个人工标注信号样本的质量分析，确定了 BCG 四项评价指标的模糊成员函数。考虑到各种光纤传感器的噪声特征不同，对微弯光纤 BCG 传感器和光纤布拉格光栅 BCG 传感器的 BCG 评价指标采用了不同的权重分布。将质量评价模型应用于两类光纤传感器在不同时间采集的信号，并将其分为优、中、差三类，两类传感器的 BCG 质量判定准确率分别为 84.50%和 85.25%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Optical Fiber Technology 工程技术-电信学

CiteScore

4.80

自引率

11.10%

发文量

327

审稿时长

63 days

期刊介绍： Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews. Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.