The artifacts of human physical motions on vital signs monitoring

Cansu Eren; Saeid Karamzadeh; Mesut Kartal

doi:10.1109/EBBT.2019.8741668

The artifacts of human physical motions on vital signs monitoring

Cansu Eren, Saeid Karamzadeh, Mesut Kartal

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Citations (Scopus)

Abstract

In this study, we aim to analyze effects of physical motions of human body such as hand movements and speaking during contactless vital signs monitoring. Human respiratory rate (RR) has periodic in nature and its frequency varies between 0.2-0.5Hz for each human. Considering weakness of human vital signs, the analysis of other physical movements of human body on vital signs monitoring should well analyzed to obtain accurate RR results. This situation carries great significance in health-care units which purpose the non-contact and non-invasive monitoring of patients in near future. In order to achieve our goal, an UWB radar system has been used to detect respiratory rate of human body. Mathematical model of human breath signal and theoretical analysis of RR detection using UWB radar has been explained. The spectral estimation of RR has been performed by Fast Fourier Transform (FFT) due to its rapid response and simplicity. The strong noise effects of such physical movements of human body during RR monitoring have been observed and results are presented.

Original language	English
Title of host publication	2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728110134
DOIs	https://doi.org/10.1109/EBBT.2019.8741668
Publication status	Published - Apr 2019
Event	2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019 - Istanbul, Turkey Duration: 24 Apr 2019 → 26 Apr 2019

Publication series

Name	2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019

Conference

Conference	2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019
Country/Territory	Turkey
City	Istanbul
Period	24/04/19 → 26/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Non-contact
Physical motion artifacts
Short-range
UWB radar
Vital sign-monitoring

Access to Document

10.1109/EBBT.2019.8741668

Cite this

Eren, C., Karamzadeh, S., & Kartal, M. (2019). The artifacts of human physical motions on vital signs monitoring. In 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019 Article 8741668 (2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EBBT.2019.8741668

Eren, Cansu ; Karamzadeh, Saeid ; Kartal, Mesut. / The artifacts of human physical motions on vital signs monitoring. 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019).

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title = "The artifacts of human physical motions on vital signs monitoring",

abstract = "In this study, we aim to analyze effects of physical motions of human body such as hand movements and speaking during contactless vital signs monitoring. Human respiratory rate (RR) has periodic in nature and its frequency varies between 0.2-0.5Hz for each human. Considering weakness of human vital signs, the analysis of other physical movements of human body on vital signs monitoring should well analyzed to obtain accurate RR results. This situation carries great significance in health-care units which purpose the non-contact and non-invasive monitoring of patients in near future. In order to achieve our goal, an UWB radar system has been used to detect respiratory rate of human body. Mathematical model of human breath signal and theoretical analysis of RR detection using UWB radar has been explained. The spectral estimation of RR has been performed by Fast Fourier Transform (FFT) due to its rapid response and simplicity. The strong noise effects of such physical movements of human body during RR monitoring have been observed and results are presented.",

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author = "Cansu Eren and Saeid Karamzadeh and Mesut Kartal",

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Eren, C, Karamzadeh, S & Kartal, M 2019, The artifacts of human physical motions on vital signs monitoring. in 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019., 8741668, 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019, Institute of Electrical and Electronics Engineers Inc., 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019, Istanbul, Turkey, 24/04/19. https://doi.org/10.1109/EBBT.2019.8741668

The artifacts of human physical motions on vital signs monitoring. / Eren, Cansu; Karamzadeh, Saeid; Kartal, Mesut.
2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8741668 (2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - In this study, we aim to analyze effects of physical motions of human body such as hand movements and speaking during contactless vital signs monitoring. Human respiratory rate (RR) has periodic in nature and its frequency varies between 0.2-0.5Hz for each human. Considering weakness of human vital signs, the analysis of other physical movements of human body on vital signs monitoring should well analyzed to obtain accurate RR results. This situation carries great significance in health-care units which purpose the non-contact and non-invasive monitoring of patients in near future. In order to achieve our goal, an UWB radar system has been used to detect respiratory rate of human body. Mathematical model of human breath signal and theoretical analysis of RR detection using UWB radar has been explained. The spectral estimation of RR has been performed by Fast Fourier Transform (FFT) due to its rapid response and simplicity. The strong noise effects of such physical movements of human body during RR monitoring have been observed and results are presented.

AB - In this study, we aim to analyze effects of physical motions of human body such as hand movements and speaking during contactless vital signs monitoring. Human respiratory rate (RR) has periodic in nature and its frequency varies between 0.2-0.5Hz for each human. Considering weakness of human vital signs, the analysis of other physical movements of human body on vital signs monitoring should well analyzed to obtain accurate RR results. This situation carries great significance in health-care units which purpose the non-contact and non-invasive monitoring of patients in near future. In order to achieve our goal, an UWB radar system has been used to detect respiratory rate of human body. Mathematical model of human breath signal and theoretical analysis of RR detection using UWB radar has been explained. The spectral estimation of RR has been performed by Fast Fourier Transform (FFT) due to its rapid response and simplicity. The strong noise effects of such physical movements of human body during RR monitoring have been observed and results are presented.

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Eren C, Karamzadeh S, Kartal M. The artifacts of human physical motions on vital signs monitoring. In 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8741668. (2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019). doi: 10.1109/EBBT.2019.8741668

The artifacts of human physical motions on vital signs monitoring

Abstract

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Bibliographical note

Keywords

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