Fan D, Ren A, Zhao N, Haider D, Yang X, Tian J. Small-Scale Perception in Medical Body Area Networks.
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM 2020;
7:2700211. [PMID:
32166051 PMCID:
PMC6890531 DOI:
10.1109/jtehm.2019.2951670]
[Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 09/07/2019] [Accepted: 10/27/2019] [Indexed: 11/29/2022]
Abstract
Objective: Non-invasive respiration detection methods are of great value to healthcare
applications and disease diagnosis with their advantages of minimizing the
patient’s physical burden and lessen the requirement of active cooperation of the
subject. This method avoids extra preparations, reduces environmental constraints, and
strengthens the possibility of real-time respiratory detection. Furthermore, identifying
abnormal breathing patterns in real-time is necessary for the diagnosis and monitoring of
possible respiratory disorders. Method: A non-invasive method for detecting multiple
breathing patterns using C-band sensing technique is presented, which is used for
identifying different breathing patterns in addition to extract respiratory rate. We first
evaluate the feasibility of this non-contact method in measuring different breathing
patterns. Then, we detect several abnormal breathing patterns associated with certain
respiratory disorders at real time using C-band sensing technique in indoor environment.
Results: Mean square error (MSE) and correlation coefficient (CC) are used to evaluate the
correlation between C-band sensing technique and contact respiratory sensor. The results
show that all the MSE are less than 0.6 and all CC are more than 0.8, yielding a
significant correlation between the two used for detecting each breathing pattern.
Clinical Impact: C-band sensing technique is not only used to determine respiratory rates
but also to identify breathing patterns, regarding as a preferred noncontact alternative
approach to the traditional contact sensing methods. C-band sensing technique also
provides a basis for the non-invasive detection of certain respiratory disorders.
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