Wireless Sensing for the Respiratory Activity of Human Beings: Measurements and Wide-band Numerical Analysis

Author:

Scalise Lorenzo1ORCID,Mariani Primiani Valter2,Russo Paola2ORCID,De Leo Alfredo2ORCID,Shahu Desar2,Cerri Graziano2

Affiliation:

1. Dipartimento di Ingegneria Industriale e Scienze Matematiche (DIISM), Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy

2. Dipartimento di Ingegneria dell’Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy

Abstract

An electromagnetic sensing system for the measurement of the respiratory activity is presented. The aims are to demonstrate the feasibility of the proposed approach and in particular to evaluate the effect on the measured signal of the distance between the subject and the sensing apparatus. Moreover, an electromagnetic model of the system, including the monitored subject, is proposed as a tool to solve the problem of selecting working parameters for system design. The sensing system is based on the measurement of the phase variation of the reflection coefficient caused by the respiratory activity. The phase signal compared with the thorax displacement measured by a reference instrument shows a high correlation () for different subject postures (sitting, standing, and lying) and a reduction of the signal amplitude with the distance  dB/cm is reported. The numerical simulations performed on a wide-band highlight the frequencies where the method exhibits the highest sensitivity to thorax movements. The sensitivity can be further improved by reducing the antenna beamwidth. Despite the signal amplitude reduction, the proposed system makes it possible to correctly operate at distances up to 2.5 m.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Contactless Methods for Respiration Monitoring and Design of SIW-LWA for Real-Time Respiratory Rate Monitoring;IETE Journal of Research;2022-05-08

2. mmFlow: Facilitating At-Home Spirometry with 5G Smart Devices;2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON);2021-07-06

3. Accurate Heartbeat Detection on Ballistocardiogram Accelerometric Traces;IEEE Transactions on Instrumentation and Measurement;2020-11

4. Sensing Systems for Respiration Monitoring: A Technical Systematic Review;Sensors;2020-09-22

5. Non-Contact Detection of Vital Signs Using a UWB Radar Sensor;IEEE Access;2019

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