Literature DB >> 17938982

Diagnostic potential in state space parameters of lung sounds.

January Gnitecki1, Zahra Moussavi, Hans Pasterkamp.   

Abstract

The goal of this study was to investigate state space parameters of the lung sounds of healthy subjects and subjects with symptoms of asthma under different respiratory conditions. Our main objective was to elucidate the diagnostic potential of these parameters, which included embedding dimension (m), time delay (tau) and Lyapunov exponents (lambda). Lung sounds were acquired over the right lower lobe from six healthy subjects, ages 10-26 years, and from eight children with symptoms of asthma recorded pre- and post-bronchial provocation via methacholine challenge (MCh) and post-bronchial dilation (BD). Inspiratory air flows during recordings were 7.5, 15, or 22.5 mL/s per kg (+/-20%). With increasing flow for sounds recorded from healthy subjects, mean values of tau decreased. Percent of breaths with positive lambda decreased when heart sounds were excluded. For the patients who exhibited bronchoconstriction, values of tau increased and percent of positive lambda decreased post-MCh, and returned to pre-MCh values post-BD. Thus, both tau and presence of positive lambda may prove valuable in developing a model that will predict changes in respiratory status using lung sounds.

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Year:  2007        PMID: 17938982     DOI: 10.1007/s11517-007-0270-2

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  8 in total

1.  A robust method for estimating respiratory flow using tracheal sounds entropy.

Authors:  Azadeh Yadollahi; Zahra M K Moussavi
Journal:  IEEE Trans Biomed Eng       Date:  2006-04       Impact factor: 4.538

2.  Qualitative and quantitative evaluation of heart sound reduction from lung sound recordings.

Authors:  January Gnitecki; Irina Hossain; Hans Pasterkamp; Zahra Moussavi
Journal:  IEEE Trans Biomed Eng       Date:  2005-10       Impact factor: 4.538

Review 3.  Separating heart sounds from lung sounds. Accurate diagnosis of respiratory disease depends on understanding noises.

Authors:  January Gnitecki; Zahra M K Moussavi
Journal:  IEEE Eng Med Biol Mag       Date:  2007 Jan-Feb

4.  Heart sound cancellation based on multiscale products and linear prediction.

Authors:  Daniel Flores-Tapia; Zahra M K Moussavi; Gabriel Thomas
Journal:  IEEE Trans Biomed Eng       Date:  2007-02       Impact factor: 4.538

5.  Classification of lung sounds during bronchial provocation using waveform fractal dimensions.

Authors:  J Gnitecki; Z Moussavi; H Pasterkamp
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2004

6.  Heart sound cancellation from lung sound recordings using time-frequency filtering.

Authors:  M T Pourazad; Z Moussavi; G Thomas
Journal:  Med Biol Eng Comput       Date:  2006-03-10       Impact factor: 2.602

7.  Chest surface mapping of lung sounds during methacholine challenge.

Authors:  H Pasterkamp; R Consunji-Araneta; Y Oh; J Holbrow
Journal:  Pediatr Pulmonol       Date:  1997-01

Review 8.  Clinical review: severe asthma.

Authors:  Spyros Papiris; Anastasia Kotanidou; Katerina Malagari; Charis Roussos
Journal:  Crit Care       Date:  2001-11-22       Impact factor: 9.097

  8 in total

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