Alpha 2.0
Login Register
» Articles » PMID: 17786495

A Study on a Non-contacting Respiration Signal Monitoring System Using Doppler Ultrasound

Overview
Journal Med Biol Eng Comput
Publisher Springer
Specialties Biomedical Engineering
Medical Informatics
Date 2007 Sep 6
PMID 17786495
Citations 10
Authors
Se Dong Min
Dae Joong Yoon
Sung Won Yoon
Yong Hyeon Yun
Myoungho Lee
Affiliations
Soon will be listed here.
Abstract

We proposed non-contacting respiration signal monitoring system for sleep apnea syndrome. Experiments were conducted by emitting 40 kHz ultrasound beam, which is set tone burst mode by 1 ms period to a subject chest. Normal respiration condition and a simulated sleep apnea syndrome condition were measured while subjects were holding breath. To obtain the actual respiration signal from the raw signal, ultrasound attenuation characteristics were considered. The Doppler ultrasound signal was detectable once the received signal obtained by demodulation circuits passed through a low pass filter (LPF). The signal's ripples were eliminated by moving average method and the signal's peaks were detected by phase portrait reconstruction method to measure the respiration rate.

Citing Articles

Contact and Remote Breathing Rate Monitoring Techniques: A Review.

Ali M, Elsayed A, Mendez A, Savaria Y, Sawan M IEEE Sens J. 2022; 21(13):14569-14586.

PMID: 35789086 PMC: 8769001. DOI: 10.1109/JSEN.2021.3072607.

A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System based on the Global System for Mobile Communications (GSM) Network.

Sumbul H, Yuzer A, Sekeroglu K Med Biol Eng Comput. 2022; 60(2):619-632.

PMID: 35029814 PMC: 8759063. DOI: 10.1007/s11517-021-02492-x.

Wireless Wearable Ultrasound Sensor to Characterize Respiratory Behavior.

Chen A, Rhoades R, Halton A, Booth J, Shi X, Bu X Methods Mol Biol. 2021; 2393:671-682.

PMID: 34837206 DOI: 10.1007/978-1-0716-1803-5_36.

The future of sleep health: a data-driven revolution in sleep science and medicine.

Perez-Pozuelo I, Zhai B, Palotti J, Mall R, Aupetit M, Garcia-Gomez J NPJ Digit Med. 2020; 3:42.

PMID: 32219183 PMC: 7089984. DOI: 10.1038/s41746-020-0244-4.

Real Time Apnoea Monitoring of Children Using the Microsoft Kinect Sensor: A Pilot Study.

Al-Naji A, Gibson K, Lee S, Chahl J Sensors (Basel). 2017; 17(2).

PMID: 28165382 PMC: 5336086. DOI: 10.3390/s17020286.

References
1.
Tanaka S, Matsumoto Y, Wakimoto K . Unconstrained and non-invasive measurement of heart-beat and respiration periods using a phonocardiographic sensor. Med Biol Eng Comput. 2002; 40(2):246-52. DOI: 10.1007/BF02348132. View
2.
Fei J, Pavlidis I . Analysis of breathing air flow patterns in thermal imaging. Conf Proc IEEE Eng Med Biol Soc. 2007; 2006:946-52. DOI: 10.1109/IEMBS.2006.260117. View
3.
Niizeki K, Nishidate I, Uchida K, Kuwahara M . Unconstrained cardiorespiratory and body movement monitoring system for home care. Med Biol Eng Comput. 2006; 43(6):716-24. DOI: 10.1007/BF02430948. View
4.
Uenoyama M, Matsui T, Yamada K, Suzuki S, Takase B, Suzuki S . Non-contact respiratory monitoring system using a ceiling-attached microwave antenna. Med Biol Eng Comput. 2006; 44(9):835-40. DOI: 10.1007/s11517-006-0091-8. View
5.
Varady P, Micsik T, Benedek S, Benyo Z . A novel method for the detection of apnea and hypopnea events in respiration signals. IEEE Trans Biomed Eng. 2002; 49(9):936-42. DOI: 10.1109/TBME.2002.802009. View