Literature DB >> 35284195

Noninvasive measurement of the vital signs of cancer patients with a dual-path microbend fiber sensor.

Ying Wang1,2, Meizheng You3,2, Yanhong Zhang4, Sumei Wu4, Yi Zhang5, Huicheng Yang1, Ting Zheng3, Xiaohui Chen3, Zhihao Chen1,6, Xianhe Xie4,7, Xiaochun Zheng3,8.   

Abstract

A novel dual-path microbend fiber optic sensor is designed for noninvasive measurement of respiratory rate (RR) and heart rate (HR) for cancer patients. The performance of the microbend fiber sensor is assessed in two groups of cancer patients, cancer patients with pain and without pain, ranging from eighteen to ninety-six years old in a daily observational measurement with the sensor mattress under the mattress of the clinical bed. All the patients received standard clinical monitoring for evaluating the accuracy of our measurement results. The results of our study showed good consistency in the experimental results of RR and HR between the dual-path fiber sensor we proposed and the hospital equipment with average errors of 3.60 beats per minute (bpm) and 1.02 respiration per minute (rpm) in HR and RR measurement in cancer patients with pain and 1.87bpm and 1.27rpm in HR and RR measurement in cancer patients without pain, respectively. In HR monitoring, the single path microbend fiber optic sensor has 8035 minutes of data with a false report rate of 19.09%, while the dual-path microbend fiber optic sensor has 6188 minutes of data with a false report rate of 12.87%. The dual-path sensor has a smaller false report rate compared with the single path sensor due to pre-judgments of data with path 1 and path 2. To our best knowledge, it is the first time to propose and demonstrate a dual-path sensor to reduce the false report rate for HR and RR measurements. The results of the Blend-Altman method showed great agreement between our sensor and hospital standard monitor in HR and RR measurements. The independent sample t-test indicates that the HR of cancer patients may be an effective way to judge whether or not they have cancer pain. Our noninvasive dual-path microbend fiber sensor also showed the advantages of an easy fabrication process, simple structure, and low false report rate.
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 35284195      PMCID: PMC8884223          DOI: 10.1364/BOE.450258

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  16 in total

1.  Embedded progressive-three-layered fiber long-period gratings for respiratory monitoring.

Authors:  Thomas Allsop; T Earthrowl-Gould; David J Webb; Ian Bennion
Journal:  J Biomed Opt       Date:  2003-07       Impact factor: 3.170

2.  Microstructured optical fiber interferometric breathing sensor.

Authors:  Fernando C Favero; Joel Villatoro; Valerio Pruneri
Journal:  J Biomed Opt       Date:  2012-03       Impact factor: 3.170

3.  Estimating respiratory rate from FBG optical sensors by using signal quality measurement.

Authors:  Jayachandran Maniyeri; Victor Foo Siang Fook
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015-08

4.  Fiber Bragg grating-based sensor for monitoring respiration and heart activity during magnetic resonance imaging examinations.

Authors:  Łukasz Dziuda; Franciszek W Skibniewski; Mariusz Krej; Paulina M Baran
Journal:  J Biomed Opt       Date:  2013-05       Impact factor: 3.170

5.  Monitoring respiration and cardiac activity during sleep using microbend fiber sensor: A clinical study and new algorithm.

Authors:  Zhihao Chen; Ju Teng Teo; Soon Huat Ng; Xiufeng Yang; Bin Zhou; Yue Zhang; Hwi Ping Loo; Haihong Zhang; Mark Thong
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

6.  Heart rate estimation from FBG sensors using cepstrum analysis and sensor fusion.

Authors:  Yongwei Zhu; Victor Foo Siang Fook; Emily Hao Jianzhong; Jayachandran Maniyeri; Cuntai Guan; Haihong Zhang; Eugene Phua Jiliang; Jit Biswas
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

7.  Sample Size for Assessing Agreement between Two Methods of Measurement by Bland-Altman Method.

Authors:  Meng-Jie Lu; Wei-Hua Zhong; Yu-Xiu Liu; Hua-Zhang Miao; Yong-Chang Li; Mu-Huo Ji
Journal:  Int J Biostat       Date:  2016-11-01       Impact factor: 0.968

8.  Intensity-modulated microbend fiber optic sensor for respiratory monitoring and gating during MRI.

Authors:  Doreen Lau; Zhihao Chen; Ju Teng Teo; Soon Huat Ng; Helmut Rumpel; Yong Lian; Hui Yang; Pin Lin Kei
Journal:  IEEE Trans Biomed Eng       Date:  2013-05-13       Impact factor: 4.538

9.  Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea.

Authors:  Philip de Chazal; Conor Heneghan; Elaine Sheridan; Richard Reilly; Philip Nolan; Mark O'Malley
Journal:  IEEE Trans Biomed Eng       Date:  2003-06       Impact factor: 4.538

10.  Reliability of heart rate and respiration rate measurements with a wireless accelerometer in postbariatric recovery.

Authors:  Fleur Jacobs; Jai Scheerhoorn; Eveline Mestrom; Jonna van der Stam; R Arthur Bouwman; Simon Nienhuijs
Journal:  PLoS One       Date:  2021-04-28       Impact factor: 3.240

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  1 in total

1.  Studying the effect of polymethyl methacrylate polymer opticals fibers (POFs) on the performance of composite materials based on the polyether ether ketone (PEEK) polymer matrix.

Authors:  Mohammed Belkheir; Mehdi Rouissat; Allel Mokaddem; Bendouma Doumi; Ahmed Boutaous
Journal:  Emergent Mater       Date:  2022-06-07
  1 in total

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