Literature DB >> 20007035

Comparative evaluation of susceptibility to motion artifact in different wearable systems for monitoring respiratory rate.

Antonio Lanatà1, Enzo Pasquale Scilingo, Elena Nardini, Giannicola Loriga, Rita Paradiso, Danilo De-Rossi.   

Abstract

The purpose of this study is to comparatively evaluate the performance of different wearable systems based on indirect breathing monitoring in terms of susceptibility to motion artifacts. These performances are compared with direct respiratory measurements using a spirometer, which is accurate, reliable, and less sensitive to movement artifacts, but cannot be integrated into truly wearable form. Experiments were carried out on four indirect methods implemented into wearable systems, inductive plethysmography, impedance plethysmography, piezoresistive pneumography, and piezoelectric pneumography, to ascertain the performance of each of them in terms of noise due to movement artifacts, as well as to study the effects of different movements or gestures during each test. A group of volunteers was asked to wear all of the breath monitoring systems simultaneously along with the face mask of the spirometer while carrying out four physical exercises in a gym under controlled conditions. Data are analyzed in the time and frequency domain to estimate the frequency respiration from each wearable system and compare it with those of the spirometer. Results confirmed that all the wearable systems are somehow affected by movement artifacts, but statistical investigation showed that for most of the physical exercises, three out of four, piezoelectric pneumography provided best performance in terms of robustness and reduced susceptibility to movement artifacts.

Mesh:

Year:  2009        PMID: 20007035     DOI: 10.1109/TITB.2009.2037614

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  14 in total

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Journal:  Sensors (Basel)       Date:  2016-09-14       Impact factor: 3.576

7.  A Wearable System for Real-Time Continuous Monitoring of Physical Activity.

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Journal:  Nanomaterials (Basel)       Date:  2021-06-08       Impact factor: 5.076

9.  Inference of human affective states from psychophysiological measurements extracted under ecologically valid conditions.

Authors:  Alberto Betella; Riccardo Zucca; Ryszard Cetnarski; Alberto Greco; Antonio Lanatà; Daniele Mazzei; Alessandro Tognetti; Xerxes D Arsiwalla; Pedro Omedas; Danilo De Rossi; Paul F M J Verschure
Journal:  Front Neurosci       Date:  2014-09-24       Impact factor: 4.677

Review 10.  Wearable Intrinsically Soft, Stretchable, Flexible Devices for Memories and Computing.

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Journal:  Sensors (Basel)       Date:  2018-01-27       Impact factor: 3.576

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