Literature DB >> 10829413

Computerised acoustical respiratory phase detection without airflow measurement.

Z K Moussavi1, M T Leopando, H Pasterkamp, G Rempel.   

Abstract

A simple, non-invasive acoustical method is developed to detect respiratory phases in relationship to swallows without the direct measurement of airflow. In 21 healthy subjects (4-51 years) breath sounds are recorded at the trachea and at five different recording locations at the chest wall, with simultaneous recording of airflow by a pneumotachograph. The chest signal with the greatest inspiratory-expiratory power difference ('best location') is either in the mid-clavicular line in the second interspace on the left or third interspace on the right. Using the 'best location' on the chest wall and the tracheal signal, a phase detection algorithm is developed and achieves 100% accuracy in the estimation of respiratory phases without using the measured airflow signal. Thus, acoustically monitoring breaths and swallows holds promise as a non-invasive and reliable assessment tool in the study of swallowing dysfunction.

Mesh:

Year:  2000        PMID: 10829413     DOI: 10.1007/bf02344776

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


  9 in total

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Authors:  H Pasterkamp; S Patel; G R Wodicka
Journal:  Med Biol Eng Comput       Date:  1997-03       Impact factor: 2.602

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Authors:  P Forgacs
Journal:  Lancet       Date:  1967-07-22       Impact factor: 79.321

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Authors:  W G Selley; R E Ellis; F C Flack; C R Bayliss; V R Pearce
Journal:  Dysphagia       Date:  1994       Impact factor: 3.438

7.  Methodology for detecting swallowing sounds.

Authors:  K Takahashi; M E Groher; K Michi
Journal:  Dysphagia       Date:  1994       Impact factor: 3.438

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Authors:  S C Tarrant; R E Ellis; F C Flack; W G Selley
Journal:  Dysphagia       Date:  1997       Impact factor: 3.438

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Authors:  M Mahagnah; N Gavriely
Journal:  Am J Respir Crit Care Med       Date:  1994-02       Impact factor: 21.405

  9 in total
  7 in total

1.  Acoustic breath-phase detection using tracheal breath sounds.

Authors:  Saiful Huq; Zahra Moussavi
Journal:  Med Biol Eng Comput       Date:  2012-02-24       Impact factor: 2.602

2.  An automated computerized auscultation and diagnostic system for pulmonary diseases.

Authors:  Ali Abbas; Atef Fahim
Journal:  J Med Syst       Date:  2009-06-26       Impact factor: 4.460

3.  Use of reaction time in the temporal analysis of normal swallowing.

Authors:  Bernard Roubeau; Sylvain Morinière; Sophie Périé; Anne Martineau; Jannic Falières; Jean Lacau St Guily
Journal:  Dysphagia       Date:  2008-01-18       Impact factor: 3.438

4.  Analysis of swallowing sounds using hidden Markov models.

Authors:  Mohammad Aboofazeli; Zahra Moussavi
Journal:  Med Biol Eng Comput       Date:  2007-11-14       Impact factor: 2.602

5.  The effect of viscosity on the breath-swallow pattern of young people with cerebral palsy.

Authors:  Gina Rempel; Zahra Moussavi
Journal:  Dysphagia       Date:  2005       Impact factor: 3.438

6.  Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals.

Authors:  Azadeh Yadollahi; Eleni Giannouli; Zahra Moussavi
Journal:  Med Biol Eng Comput       Date:  2010-08-24       Impact factor: 2.602

7.  Acoustic Analysis of Inhaler Sounds From Community-Dwelling Asthmatic Patients for Automatic Assessment of Adherence.

Authors:  Martin S Holmes; Shona D'arcy; Richard W Costello; Richard B Reilly
Journal:  IEEE J Transl Eng Health Med       Date:  2014-03-11       Impact factor: 3.316

  7 in total

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