Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter

Tarig Ballal; Redmond B. Shouldice; Conor Heneghan; Anding Zhu

doi:10.1109/BioWireless.2012.6172727

Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter

Tarig Ballal^*
, Redmond B. Shouldice
, Conor Heneghan
, Anding Zhu

^*Corresponding author for this work

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

15 Scopus citations

Abstract

In this paper, a non-contact method for human breathing rate estimation is discussed. The method utilises SleepMinder technology, which implements a radio-frequency Doppler radar system to capture physiological movements of the body in the form of phase modulation. To determine the breathing rate, the signals are down-converted and the baseband signals are processed. Previously reported methods used the conventional periodogram approach to estimate the breathing rate. A downside of the periodogram method is its limited capability in capturing respiration dynamics. The adaptive notch filter approach, discussed herein, provides a better respiration rate tracking performance than the periodogram approach, as demonstrated by the experimental results presented in this paper.

Original language	English
Title of host publication	RWW 2012 - Proceedings
Subtitle of host publication	2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012
Pages	5-8
Number of pages	4
DOIs	https://doi.org/10.1109/BioWireless.2012.6172727
State	Published - 2012
Externally published	Yes
Event	2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012 - Santa Clara, CA, United States Duration: 15 Jan 2012 → 18 Jan 2012

Publication series

Name	RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012

Conference

Conference	2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012
Country/Territory	United States
City	Santa Clara, CA
Period	15/01/12 → 18/01/12

Keywords

Breathing rate estimation
IIR notch filter
adaptive filter
frequency tracking
non-contact
non-invasive
periodogram

ASJC Scopus subject areas

Computer Networks and Communications
Biomedical Engineering

Access to Document

10.1109/BioWireless.2012.6172727

Cite this

Ballal, T., Shouldice, R. B., Heneghan, C., & Zhu, A. (2012). Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter. In RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012 (pp. 5-8). Article 6172727 (RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012). https://doi.org/10.1109/BioWireless.2012.6172727

Ballal, Tarig ; Shouldice, Redmond B. ; Heneghan, Conor et al. / Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter. RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012. 2012. pp. 5-8 (RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012).

@inproceedings{09c5c236e4b34687bb66fcbdeb91296d,

title = "Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter",

abstract = "In this paper, a non-contact method for human breathing rate estimation is discussed. The method utilises SleepMinder technology, which implements a radio-frequency Doppler radar system to capture physiological movements of the body in the form of phase modulation. To determine the breathing rate, the signals are down-converted and the baseband signals are processed. Previously reported methods used the conventional periodogram approach to estimate the breathing rate. A downside of the periodogram method is its limited capability in capturing respiration dynamics. The adaptive notch filter approach, discussed herein, provides a better respiration rate tracking performance than the periodogram approach, as demonstrated by the experimental results presented in this paper.",

keywords = "Breathing rate estimation, IIR notch filter, adaptive filter, frequency tracking, non-contact, non-invasive, periodogram",

author = "Tarig Ballal and Shouldice, \{Redmond B.\} and Conor Heneghan and Anding Zhu",

year = "2012",

doi = "10.1109/BioWireless.2012.6172727",

language = "English",

isbn = "9781457711541",

series = "RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012",

pages = "5--8",

booktitle = "RWW 2012 - Proceedings",

note = "2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012 ; Conference date: 15-01-2012 Through 18-01-2012",

}

Ballal, T, Shouldice, RB, Heneghan, C & Zhu, A 2012, Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter. in RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012., 6172727, RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012, pp. 5-8, 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012, Santa Clara, CA, United States, 15/01/12. https://doi.org/10.1109/BioWireless.2012.6172727

Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter. / Ballal, Tarig; Shouldice, Redmond B.; Heneghan, Conor et al.
RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012. 2012. p. 5-8 6172727 (RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012).

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

TY - GEN

T1 - Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter

AU - Ballal, Tarig

AU - Shouldice, Redmond B.

AU - Heneghan, Conor

AU - Zhu, Anding

PY - 2012

Y1 - 2012

N2 - In this paper, a non-contact method for human breathing rate estimation is discussed. The method utilises SleepMinder technology, which implements a radio-frequency Doppler radar system to capture physiological movements of the body in the form of phase modulation. To determine the breathing rate, the signals are down-converted and the baseband signals are processed. Previously reported methods used the conventional periodogram approach to estimate the breathing rate. A downside of the periodogram method is its limited capability in capturing respiration dynamics. The adaptive notch filter approach, discussed herein, provides a better respiration rate tracking performance than the periodogram approach, as demonstrated by the experimental results presented in this paper.

AB - In this paper, a non-contact method for human breathing rate estimation is discussed. The method utilises SleepMinder technology, which implements a radio-frequency Doppler radar system to capture physiological movements of the body in the form of phase modulation. To determine the breathing rate, the signals are down-converted and the baseband signals are processed. Previously reported methods used the conventional periodogram approach to estimate the breathing rate. A downside of the periodogram method is its limited capability in capturing respiration dynamics. The adaptive notch filter approach, discussed herein, provides a better respiration rate tracking performance than the periodogram approach, as demonstrated by the experimental results presented in this paper.

KW - Breathing rate estimation

KW - IIR notch filter

KW - adaptive filter

KW - frequency tracking

KW - non-contact

KW - non-invasive

KW - periodogram

UR - https://www.scopus.com/pages/publications/84860589212

U2 - 10.1109/BioWireless.2012.6172727

DO - 10.1109/BioWireless.2012.6172727

M3 - Conference contribution

AN - SCOPUS:84860589212

SN - 9781457711541

T3 - RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012

SP - 5

EP - 8

BT - RWW 2012 - Proceedings

T2 - 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012

Y2 - 15 January 2012 through 18 January 2012

ER -

Ballal T, Shouldice RB, Heneghan C, Zhu A. Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter. In RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012. 2012. p. 5-8. 6172727. (RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2012). doi: 10.1109/BioWireless.2012.6172727

Breathing rate estimation from a non-contact biosensor using an adaptive IIR notch filter

Abstract

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Keywords

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