Validation of an Automated Cough Detection Algorithm for Tracking Recovery of Pulmonary Tuberculosis Patients

PLoS ONE

Volumn 7, Issue 10, 2012, Pages

  Larson, Sandra ^a   Comina, Germán ^b   Gilman, Robert H ^c   Tracey, Brian H ^d   Bravard, Marjory ^e   López, José W ^f  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b UNIVERSIDAD NACIONAL DE INGENIERÍA   (Peru)

^c JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^d Tufts University   (United States)

^e MASSACHUSETTS GENERAL HOSPITAL   (United States)

^f HOSPITAL NACIONAL DOS DE MAYO   (Peru)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; ALGORITHM; ARTICLE; AUTOMATION; CLINICAL ARTICLE; COHORT ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; COUGHING; FALSE POSITIVE RESULT; FEMALE; HUMAN; INTERMETHOD COMPARISON; LUNG TUBERCULOSIS; MALE; PERU; SCORING SYSTEM; SCREENING TEST; VALIDATION PROCESS;

ALGORITHMS; AUTOMATION; COHORT STUDIES; COUGH; HUMANS; PERU; TUBERCULOSIS, PULMONARY;

EID: 84867345072     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0046229     Document Type: Article

References (18)

1. World Health Organization (2010) Multidrug and extensively drug-resistant TB (M/XDR-TB): 2010 global report on surveillance and response. HO/HTM/TB/2010.3.
2. Green C, Huggett JF, Talbot E, Mwaba P, Reither K, et al. (2009) Rapid diagnosis of tuberculosis through the detection of mycobacterial DNA in urine by nucleic acid amplification methods. The Lancet Infectious Diseases 9 (8):: 505-511 doi:10.1016/S1473-3099(09)70149-5.
3. Loudon RG, Spohn SK, (1969) Cough frequency and infectivity in patients with pulmonary tuberculosis. Am Rev Respir Dis 99: 109-11.
4. Smith JA, Woodcock A, (2008) New Developments in the Objective Assessment of Cough. Lung 186 (1):: S48-S54.
5. Kelsall A, Decalmer S, Webster D, Brown N, McGuinness K, et al. (2008) How to quantify coughing: correlations with quality of life in chronic cough. Eur Respir J 32: 175-179.
6. Morice AH, Fontana GA, Belvisi MG, Birring SS, Chung KF, et al. (2007) "ERS guidelines on the assessment of cough. Eur Respir J 29: 1256-1276.
7. Smith JA, (2007) Ambulatory methods for recording cough. Pulmonary Pharmacology and Therapeutics 20: 313-318.
8. Barry SJ, Dane AD, Morice AH, Walmsley AD, (2006) The automatic recognition and counting of cough. Cough 2: 8.
9. Matos S, Birring SS, Pavord ID, Evans DH, (2006) Detection of cough signals in continuous audio recordings using hidden Markov models. IEEE Biomed Eng 53: 1078-1083.
10. Matos S, Birring SS, Pavord ID, Evans DH, (2007) An automated system for 24-hour monitoring of cough frequency: the Leicester cough monitor. IEEE Trans Biomed Eng 54: 1472-1479.
11. Vizel E, Yigla M, Goryachev Y, Dekel E, Felis V, et al. (2010) Validation of an ambulatory cough detection and counting application using voluntary cough under different conditions. Cough 6: 3.
12. Ellis D, Morgan N, (1999) Size matters: an empirical study of neural network training for large vocabulary continuous speech recognition. IEEE International Conference on Acoustics, Speech, and Signal Processing 2: 1013-1016.
13. Tracey BH, Comina G, Larson S, Bravard M, López JW, et al. (2011) Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis. Conf Proc IEEE Eng Med Biol Soc 2011: 6017-20.
14. Paul IM, Wai K, Jewell SJ, Shaffer ML, Varadvan VV, (2006) Evaluation of a new self-contained, ambulatory, objective cough monitor. Cough 2: 7.
15. Audacity® (2011) Available: http://audacity.sourceforge.net/. Accessed 17 March 2012.
16. Brooks M. Available: http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html. Imperial College, London.
17. Witten I, Frank E (2005) Data Mining, 2nd Edition. Amsterdam: Morgan Kaufmann.
18. Tracey BH, Lee N, Turaga S, (2006) Cluster analysis and robust use of full-field models for sonar beamforming. J Acoust Soc Am 120 (5):: 2635-2647.