Literature DB >> 23198941

A survey on automated wheeze detection systems for asthmatic patients.

Syamimi Mardiah Shaharum1, Kenneth Sundaraj, Rajkumar Palaniappan.   

Abstract

The purpose of this paper is to present an evidence of automated wheeze detection system by a survey that can be very beneficial for asthmatic patients. Generally, for detecting asthma in a patient, stethoscope is used for ascertaining wheezes present. This causes a major problem nowadays because a number of patients tend to delay the interpretation time, which can lead to misinterpretations and in some worst cases to death. Therefore, the development of automated system would ease the burden of medical personnel. A further discussion on automated wheezes detection system will be presented later in the paper. As for the methodology, a systematic search of articles published as early as 1985 to 2012 was conducted. Important details including the hardware used, placement of hardware, and signal processing methods have been presented clearly thus hope to help and encourage future researchers to develop commercial system that will improve the diagnosing and monitoring of asthmatic patients.

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Year:  2012        PMID: 23198941      PMCID: PMC4362501          DOI: 10.17305/bjbms.2012.2447

Source DB:  PubMed          Journal:  Bosn J Basic Med Sci        ISSN: 1512-8601            Impact factor:   3.363


  18 in total

1.  Time-frequency detection and analysis of wheezes during forced exhalation.

Authors:  Antoni Homs-Corbera; José Antonio Fiz; José Morera; Raimon Jané
Journal:  IEEE Trans Biomed Eng       Date:  2004-01       Impact factor: 4.538

2.  Lung function interpolation by means of neural-network-supported analysis of respiration sounds.

Authors:  M Oud
Journal:  Med Eng Phys       Date:  2003-05       Impact factor: 2.242

3.  Neural classification of lung sounds using wavelet coefficients.

Authors:  A Kandaswamy; C S C Sathish Kumar; Rm Pl Ramanathan; S Jayaraman; N Malmurugan
Journal:  Comput Biol Med       Date:  2004-09       Impact factor: 4.589

4.  Wheeze detection based on time-frequency analysis of breath sounds.

Authors:  Styliani A Taplidou; Leontios J Hadjileontiadis
Journal:  Comput Biol Med       Date:  2006-11-17       Impact factor: 4.589

5.  Finding the lung sound-flow relationship in normal and asthmatic subjects.

Authors:  I Hossain; Z Moussavi
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2004

6.  Acoustics based assessment of respiratory diseases using GMM classification.

Authors:  P Mayorga; C Druzgalski; R L Morelos; O H Gonzalez; J Vidales
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

7.  Monitoring of wheeze duration during spontaneous respiration in asthmatic patients.

Authors:  S Cortes; R Jane; J A Fiz; J Morera
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

8.  Lung sound analysis for wheeze episode detection.

Authors:  Abhishek Jain; Jithendra Vepa
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

9.  Analysis of wheezes in asthmatic patients during spontaneous respiration.

Authors:  R Jané; S Cortés; J A Fiz; J Morera
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2004

10.  Automated spectral characterization of wheezing in asthmatic children.

Authors:  T R Fenton; H Pasterkamp; A Tal; V Chernick
Journal:  IEEE Trans Biomed Eng       Date:  1985-01       Impact factor: 4.538

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  4 in total

Review 1.  Automatic adventitious respiratory sound analysis: A systematic review.

Authors:  Renard Xaviero Adhi Pramono; Stuart Bowyer; Esther Rodriguez-Villegas
Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

2.  Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection.

Authors:  Shih-Hong Li; Bor-Shing Lin; Chen-Han Tsai; Cheng-Ta Yang; Bor-Shyh Lin
Journal:  Sensors (Basel)       Date:  2017-01-17       Impact factor: 3.576

3.  Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0.

Authors:  E Andrès; R Gass; A Charloux; C Brandt; A Hentzler
Journal:  J Med Life       Date:  2018 Apr-Jun

4.  Distance-Based Detection of Cough, Wheeze, and Breath Sounds on Wearable Devices.

Authors:  Bing Xue; Wen Shi; Sanjay H Chotirmall; Vivian Ci Ai Koh; Yi Yang Ang; Rex Xiao Tan; Wee Ser
Journal:  Sensors (Basel)       Date:  2022-03-10       Impact factor: 3.576

  4 in total

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