[1. Woolf CR, Rosenberg A. Objective assessment of cough suppressants under clinical conditions using a tape recorder system. Thorax 1964; 19: 125-30.10.1136/thx.19.2.125101881014128569]Search in Google Scholar
[2. Loudon RG, Brown LC. Cough frequency in patients with respiratory disease. Am Rev Respir Dis 1967; 96(6): 1137-43.]Search in Google Scholar
[3. Barry SJ, Dane AD, Morice AH, Walmsley AD. The automatic recognition and counting of cough. Cough 2006; 2: 8, doi 10.1186/1745-9974-2-8.10.1186/1745-9974-2-8160196317007636]Search in Google Scholar
[4. Matos S, Birring SS, Pavord ID, Evans DH. Detection of cough signals in continuous audio recordings using hidden Markov models. IEEE Trans Biomed Eng 2006; 53(6): 1078-83.10.1109/TBME.2006.87354816761835]Search in Google Scholar
[5. Hsu JY, Stone RA, Logan-Sinclair RB, Worsdell M, Busst CM, Chung KF. Coughing frequency in patients with persistent cough: assessment using a 24 hour ambulatory recorder. Eur Respir J 1994; 7(7): 1246-53.10.1183/09031936.94.070712467925902]Search in Google Scholar
[6. Chang AB, Newman RG, Phelan PD, Robertson CF. A new use for an old Holter monitor: an ambulatory cough meter. Eur Respir J 1997; 10(7): 1637-9.10.1183/09031936.97.100716379230259]Search in Google Scholar
[7. Murata A, Taniguchi Y, Hashimoto Y, Kaneko Y, Takasaki Y, Kudoh S. Discrimination of productive and nonproductive cough by sound analysis. Intern Med 1998; 37(9): 732-5.10.2169/internalmedicine.37.7329804079]Search in Google Scholar
[8. Olia PM, Sestini P, Vagliasindi M. Acoustic parameters of voluntary cough in healthy non-smoking subjects. Respirology 2000; 5(3): 271-5.10.1046/j.1440-1843.2000.00259.x11022990]Search in Google Scholar
[9. Van Hirtum A, Berckmans D. Automated recognition of spontaneous versus voluntary cough. Med Eng Phys 2002; 24(7-8): 541-510. Murata A, Ohota N, Shibuya A, Ono H, Kudoh S. New non-invasive automatic cough counting program based on 6 types of classified cough sounds. Intern Med 2006; 45(6): 391-7.10.2169/internalmedicine.45.144916617191]Search in Google Scholar
[10. Murata A, Ohota N, Shibuya A, Ono H, Kudoh S. New non-invasive automatic cough counting program based on 6 types of classified cough sounds. Intern Med 2006; 45(6):391-7.10.2169/internalmedicine.45.1449]Search in Google Scholar
[11. Martinek J, Tatar M, Javorka M. Distinction between voluntary cough sound and speech in volunteers by spectral and complexity analysis. J Physiol Pharmacol 2008; 59(6): 433-40.]Search in Google Scholar
[12. Shin SH, Hashimoto T, Hatano S. Automatic detection system for cough sounds as a symptom of abnormal health condition. IEEE Trans Inf Technol Biomed 2009; 13(4): 486-93.10.1109/TITB.2008.92377119273017]Search in Google Scholar
[13. Martinek J, Bencova A, Tatar M, Vrabec M, Zatko T, Javorka M. Examination of cough and non-cough sounds by spectral and complexity analysis in patients suffering from respiratory diseases. Acta Med Mart 2009; 9(3): 12-17.]Search in Google Scholar
[14. Martinek J, Zatko T, Tatar M, Javotka M. Distinction of cough from other sounds produced by daily activities in the upper airways. Bratisl Lek Listy 2011; 112(3): 120-4.]Search in Google Scholar
[15. Korpas J, Sadlonova J, Vrabec M. Analysis of the cough sound: an overview. Pulm Pharmacol 1996; 9(5-6): 261-8.10.1006/pulp.1996.00349232662]Search in Google Scholar
[16. Klco P, Martinek J, Tatar M, Javorka M. Application of the artificial neural networks for the cough sound classification (in Slovak). New knowledge in respirology (the lectures in XXII. Martin’s Day of Breathing).]Search in Google Scholar
[17. Martinek J, Tatar M, Javorka M. An Adjusted algorithm for cough sound analysis in patients with respiratory diseases (in Slovak). New knowledges in respirology (the lectures in XXII. Martin’s Day of Breathing).]Search in Google Scholar
[18. Vizel E, Yigla M, Goryachev Y, Dekel E, Felis V, Levi H, Kroin I, Godfrey S, Gavriely N. Validation of an ambulatoty cough detection and counting application using voluntary cough under different conditions. Cough 2010; 6:3.10.1186/1745-9974-6-3289053220504377]Search in Google Scholar