In:
Biomedical Optics Express, Optica Publishing Group, Vol. 13, No. 2 ( 2022-02-01), p. 982-
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.
Type of Medium:
Online Resource
ISSN:
2156-7085
,
2156-7085
Language:
English
Publisher:
Optica Publishing Group
Publication Date:
2022
detail.hit.zdb_id:
2572216-5
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