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Journal of Clinical Monitoring and Computing

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01.02.2016 | Original Research

A multi-channel acoustics monitor for perioperative respiratory monitoring: preliminary data

verfasst von: Kamal Jafarian, Majid Amineslami, Kamran Hassani, Mahdi Navidbakhsh, Mohammad Niakan Lahiji, D. John Doyle

Erschienen in: Journal of Clinical Monitoring and Computing | Ausgabe 1/2016

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Abstract

This study pertains to a six-channel acoustic monitoring system for use in patient monitoring during or after surgery. The base hardware consists of a USB data acquisition system, a custom-built six-channel amplification system, and a series of microphones of various designs. The software is based on the MATLAB platform with data acquisition drivers installed. The displayed information includes: time domain signals, frequency domain signals, and tools to aid in the detection of endobronchial intubation. We hypothesize that the above mentioned arrangement may be helpful to the anesthesiologist in recognizing clinical conditions like wheezing, bronchospasm, endobronchial intubation, and apnea. The study also evaluated various types of microphone designs used to transduce breath sounds. The system also features selectable band-pass filtering using MATLAB algorithms as well as a collection of recordings obtained with the system to establish what respiratory acoustic signals look like under various conditions.

Brochard L, Martin GS, Blanch L, Pelosi P, Belda FJ, Jubran A, Gattinoni L, Mancebo J, Ranieri VM, Richard JC, Gommers D, Vieillard-Baron A, Pesenti A, Jaber S, Stenqvist O, Vincent JL. Clinical review: respiratory monitoring in the ICU—a consensus of 16. Crit Care. 2012;16(2):219.PubMedCentralCrossRefPubMed

Tobin MJ. Respiratory monitoring in the intensive care unit. Am Rev Respir Dis. 1988;138:1625–42.CrossRefPubMed

Alshaer H, Fernie GR, Bradley TD. Monitoring of breathing phases using a bioacoustic method in healthy awake subjects. J Clin Monit Comput. 2011;25(5):285–94.CrossRefPubMed

Alshaer H, Fernie GR, Bradley TD. Phase tracking of the breathing cycle in sleeping subjects by frequency analysis of acoustic data. Int J Healthc Technol Manag. 2010;11:163–75.CrossRef

Buhre W, Rossaint R. Perioperative management and monitoring in anaesthesia. Lancet. 2003;362(9398):1839–46.CrossRefPubMed

Mertzlufft F, Zander R. Perioperative respiratory monitoring of oxygen transport. Infusionsther Transfusionsmed. 1993;20(4):180–4.PubMed

Xiong C, Hok B, Stromberg T, Loyd D, Wranne B, Ask P. A bioacoustic method for timing of respiration at cardiac investigations. Clin Physiol. 1995;15:151–7.CrossRefPubMed

Hult P, Fjallbrant T, Wranne B, Engdahl O, Ask P. An improved bioacoustic method for monitoring of respiration. Technol Health Care. 2004;12:323–32.PubMed

Hult P, Wranne B, Ask P. A bioacoustic method for timing of the different phases of the breathing cycle and monitoring of breathing frequency. Med Eng Phys. 2000;22:425–33.CrossRefPubMed

10.

Sen I, Kahya Y. A multi-channel device for respiratory sound data acquisition and transient detection. Conf Proc IEEE Eng Med Biol Soc. 2005;6:6658–61.PubMed

11.

Loudon R, Murphy R. Lung sounds. Am Rev Respir Dis. 1984;130:663–73.PubMed

12.

Sankur B, Kahya YP, Guler EC, Engin T. Comparison of AR-based algorithms for respiratory sounds classification. Comput Biol Med. 1994;24:67–76.CrossRefPubMed

13.

Guler EC, Sankur B, Kahya YP, Raudys S. Two-stage classification of respiratory sound patterns. Comput Biol Med. 2005;35:67–83.CrossRefPubMed

14.

Sahgal N. Monitoring and analysis of lung sounds remotely. Int J Chron Obstr Pulm Dis. 2011;6:407–12.CrossRef

15.

Beck R, Rosenhouse G, Mahagnah M, Chow RM, Cugell DW, Gavriely N. Measurements and theory of normal tracheal breath sounds. Ann Biomed Eng. 2005;33:1344–51.CrossRefPubMed

16.

Sierra G, Telfort V, Popov B, Durand LG, Agarwal R, Lanzo V. Monitoring respiratory rate based on tracheal sounds. First experiences. Conf Proc IEEE Eng Med Biol Soc. 2004;1:317–20.PubMed

17.

Yadollahi A, Moussavi ZM. A robust method for estimating respiratory flow using tracheal sounds entropy. IEEE Trans Biomed Eng. 2006;53:662–8.CrossRefPubMed

18.

Yadollahi A, Moussavi ZM. Acoustical respiratory flow. A review of reliable methods for measuring air flow. IEEE Eng Med Biol Mag. 2007;26:56–61.CrossRefPubMed

19.

Nakano H, Hayashi M, Ohshima E, Nishikata N, Shinohara T. Validation of a new system of tracheal sound analysis for the diagnosis of sleep apnea-hypopnea syndrome. Sleep. 2004;27:951–7.PubMed

20.

Yadollahi A, Giannouli E, Moussavi Z. Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals. Med Biol Eng Comput. 2010;48:1087–97.CrossRefPubMed

21.

Yu L, Ting CK, Hill BE, Orr JA, Brewer LM, Johnson KB, Egan TD, Westenskow DR. Using the entropy of tracheal sounds to detect apnea during sedation in healthy nonobese volunteers. Anesthesiology. 2013;118:1341–9.CrossRefPubMed

22.

Ahlstrom C, Johansson A, Hult P, Ask P. Chaotic dynamics of respiratory sounds. Chaos Solitons Fractals. 2006;29:1054–62.CrossRef

23.

World Health Oganization. The top 10 causes of death, 2013. http://who.int/mediacentre/factsheets/fs310/en/.

24.

Sun S, Wang H, Jiang Z, Fang Y, Tao T. Segmentation-based heart sound feature extraction combined with classifier models for a VSD diagnosis system. Expert Syst Appl. 2014;41:1769–80.CrossRef

25.

Ahlstrom C, Liljefeldt O, Hult P, Ask P. Heart sound cancellation from lung sound recordings using recurrence time statistics and nonlinear prediction. IEEE Signal Process Lett. 2005;12:812–5.CrossRef

26.

George JA, Lin EE, Hanna MN, Murphy JD, Kumar K, Ko PS, Wu CL. The effect of intravenous opioid patient-controlled analgesia with and without background infusion on respiratory depression: a meta-analysis. J Opioid Manag. 2010;6:47–54.CrossRefPubMed

27.

Kasuya Y, Akça O, Sessler DI, Ozaki M, Komatsu R. Accuracy of postoperative end-tidal Pco2 measurements with mainstream and sidestream capnography in non-obese patients and in obese patients with and without obstructive sleep apnea. Anesthesiology. 2009;111:609–15.CrossRefPubMed

28.

Maddox RR, Williams CK, Oglesby H, Butler B, Colclasure B. Clinical experience with patient-controlled analgesia using continuous respiratory monitoring and a smart infusion system. Am J Health Syst Pharm. 2006;63:157–64.CrossRefPubMed

29.

Ramsay MA, Usman M, Lagow E, Mendoza M, Untalan E, De Vol E. The accuracy, precision and reliability of measuring ventilatory rate and detecting ventilatory pause by rainbow acoustic monitoring and capnometry. Anesth Analg. 2013;117:69–75.CrossRefPubMed

30.

Ramezani R, Doyle DJ, Navidbakhsh M, Hassani K, Torabiyan H. A color spectrographic phonocardiography (CSP) applied to the detection and characterization of heart murmurs: preliminary results. BioMed Eng OnLine. 2011;10:42.CrossRef

31.

Kansara M, Chapatwala N. Noise reduction from the speech signal using wavelet packet transform. Int J Electron Comput Sci Eng. 2013;2:2.

32.

Zhang Y, Chen S, Wu J, Luo Y. Remote heart sound and lung sound monitoring system design based on ZigBee. In: 5th International conference on BioMedical Engineering and Informatics. 2012.

33.

Doyle DJ, Nair B. Revisiting the video stethoscope: an application of digital signal processing software (Goldwave) to monitoring ventilation in intubated patients. Conf Proc IEEE Eng Med Biol Soc. 2009;2009:6251–4. doi:10.1109/IEMBS.2009.5334665.PubMed

Titel: A multi-channel acoustics monitor for perioperative respiratory monitoring: preliminary data
verfasst von: Kamal Jafarian
Majid Amineslami
Kamran Hassani
Mahdi Navidbakhsh
Mohammad Niakan Lahiji
D. John Doyle
Publikationsdatum: 01.02.2016
Verlag: Springer Netherlands
Erschienen in: Journal of Clinical Monitoring and Computing / Ausgabe 1/2016
Print ISSN: 1387-1307
Elektronische ISSN: 1573-2614
DOI: https://doi.org/10.1007/s10877-015-9693-8

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A multi-channel acoustics monitor for perioperative respiratory monitoring: preliminary data

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