1. Zavalishin I. A. Bokovoy amiotroficheskiy skleroz. Amyotrophic Lateral Sclerosis. Moscow, GEOTARMedia, 2009, 272 p. (in Russian).
2. Andersen P. M., Abrahams Sh., Borasio G. D., Carvalho M. de, Chio A., …, Weber M. EFNS guidelines on the clinical management of amyotrophic lateral sclerosis (MALS)-revised report of an EFNS task force. European Journal of Neurology, 2012, no. 19(3), pp. 360-375.
3. Miller R., Jackson C. E., Kasarskis E. J., England J. D., Forshew D., …, Woolley S. C. Practice parameter update: the care of the patient with amyotrophic lateral sclerosis. Drug, nutritional, and respiratory therapies (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology, 2009, no. 73(15), pp. 1218-1226. https://doi.org/10.1212/WNL.0b013e3181bc0141
4. Gusev Ye. I., Konovalov A. N., Burd G. S. Nevrologiya i neyrokhirurgiya. Neurology and Neurosurgery. Moscow, Meditsina, 2000, 347 p. (in Russian).
5. Golubev V. L., Veyn A. M. Nevrologicheskiye sindromy. Rukovodstvo dlya vrachey. Neurological syndrome. Guide for doctors. Moscow, Eydos Media, 2002, 832 p. (in Russian).
6. Kuzenkov N. P., Loginov V. M., Nikol'skaya O. N., Prokopenko S. V. Algoritm klassifikatsii rechevykh patologiy pri organicheskikh porazheniyakh golovnogo mozga [The algorithm for the classification of voice pathologies with organic lesions of the brain]. Informatsionnyye protsessy [Information Processes], 2009, vol. 9, no. 3, pp. 121-137 (in Russian). Available at: http://www.jip.ru/2009/121-137-2009.pdf (accessed 06.10.2013).
7. Kuzenkov N. P., Loginov V. M., Prokopenko S. V., Mozheyko Ye. Yu. Statisticheskoye opisaniye rechi cheloveka pri organicheskikh narusheniyakh tsentral'nogo otdela rechevogo apparata [Statistical description of human speech in organic disorders of the central department of speech apparatus]. Nelineynyy mir [Nonlinear World], 2012, no. 4, pp. 247-255 (in Russian).
8. Sklyarov O. P. V/U-ritm rechi pri chtenii kak indikator sostoyaniya funktsii rechevogo dykhaniya u zaikayushchikhsya [V/U-rhythm of speech when reading as an indicator of the state of speech breathing function in stuttering]. Tekhnicheskaya akustika [Technical Acoustics], 2004, vol. 4, no. 16, pp. 163-173 (in Russian).
9. Sklyarov O. P. Fraktaly i krupnomasshtabnaya vremennaya struktura akusticheskogo rechevogo signala i muzyki [Fractals and large-scale temporal structure of acoustic speech signal and music]. Tekhnicheskaya akustika [Technical Acoustics], 2004, vol. 4, no. 21, pp. 224-233 (in Russian).
10. Gómez P., Martinez R., Diaz F., Lázaro C., Álvarez A., Rodellar V., Nietro V. Nonlinear analyses and algorithms for speech processing. Voice Pathology Detection by Vocal Cord Biomechanical Parameter Estimation. Berlin, Springer, 2005, pp. 242-256.
11. Henriquez P., Alonso J. B., Ferrer M. A., Travieso C. M., Godino-Llorente J. I., Diaz-de-Maria F. Characterization of healthy and pathological voice through measures based on nonlinear dynamics. IEEE Trans Audio Speech Lang Processing, 2009, vol. 17, no. 6, pp. 1186-1195.
12. Chou M., Jiang J. J., Rahn D. A., Zhang Y. Phonatory impairment in parkinson’s disease: evidence from nonlinear dynamic analysis and perturbation analysis. Journal of Voice, 2007, vol. 21, pp. 64-71.
13. Scalassara P. R., Dajer M. E., Maciel C. D., Guido R. C., Pereira J. C. Relative entropy measures applied to healthy and pathological voice characterization. Applied Mathematics and Computation, 2009, vol. 207, iss. 1, pp. 95-108.
14. Malyska N., Quatieri T. F., Sturim D. Automatic dysphonia recognition using biologically-inspired amplitude-modulation features. Acoustics, Speech, and Signal Processing: Proceedings of IEEE International Conference (ICASSP), Philadelphia, 2005, vol. 1, pp. 873-876.
15. Oppenheim A. Applications of Digital Signal Processing. Prentice Hall, 1978, 499 r.
16. Akhmad Kh. M., Zhirkov V. F. Vvedeniye v tsifrovuyu obrabotku rechevykh signalov. Introduction to Digital Voice Processing. Vladimir, Vladimirskij gosudarstvennyj universitet, 2007, 192 p. (in Russian).
17. Raygayyan R. M. Analiz biomeditsinskikh signalov. Prakticheskiy podkhod. Analysis of biomedical signals. Practical approach. Moscow, Fizmatlit, 2007, 440 p. (in Russian).
18. Kul T. P., Mezhennaya M. M., Osipov A. N. Algoritm tsifrovoy obrabotki rechevykh signalov v norme i patologii [Algorithm of digital processing of speech signals in norm and pathology]. Sovremennye problemy radiojelektroniki i telekommunikacij : tezisy dokladov 13 Mezhdunarodnoj molodezhnoj nauchno-tehnicheskoj konferencii [Abstracts of the 13th International Youth Scientific-Technical Conference "Modern problems of radio electronics and telecommunications"]. Sevastopol, 2017, r. 197.
Email this article 