Study of several parameters for the detection of amyotrophic lateral sclerosis from articulatory movement

Cristina Carmona; Pedro Gómez; Miguel A. Ferrer; Réjean Plamondon; Ana Londral

doi:10.3989/loquens.2017.038

Authors

Cristina Carmona Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria https://orcid.org/0000-0002-4441-6652
Pedro Gómez Center for Biomedical Technology, Universidad Politécnica de Madrid https://orcid.org/0000-0003-3283-378X
Miguel A. Ferrer Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria https://orcid.org/0000-0002-2924-1225
Réjean Plamondon Laboratoire Scribens, Département de Génie Électrique, École Polytechnique de Montréal https://orcid.org/0000-0002-4903-7539
Ana Londral Instituto de Medicina Molecular, Universidade de Lisboa https://orcid.org/0000-0002-8002-6790

DOI:

https://doi.org/10.3989/loquens.2017.038

Keywords:

ALS, Sigma-lognormal, formant, kinematic, articulation

Abstract

Amyotrophic lateral sclerosis (ALS) is a degenerative neuromuscular disease, one of its early symptoms being a progressive difficulty to speak (ALS dysarthria). To improve its diagnosis and monitoring, a new method based on articulatory movement estimation has been developed. As a result, two articulatory movement parameters are presented as well as their relationship with the illness grade.

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References

Carmona-Duarte, C., Alonso, J. B., Díaz, M., Ferrer, M. A., Gómez-Vilda, P., y Plamondon, R. (2016). Kinematic modelling of dipthong articulation. En A. Esposito, M. Faundez-Zanuy, A. M. Esposito, G. Cordasco, T. Drugman, J. Solé-Casals y F. C. Morabito (Eds.), Recent advances in nonlinear speech processing (Vol. 48, pp. 53-60). Cham: Springer. https://doi.org/10.1007/978-3-319-28109-4_6

Carmona-Duarte, C., Plamondon, R., Gómez-Vilda, P., Ferrer, M. A., Alonso, J. B., y Londral, A. R. M. (2016). Application of the lognormal model to the vocal tract movement to detect neurological diseases in voice. En Y. Chen, S. Tanaka, R. Howlett y L. Jain (Eds.), Innovation in medicine and healthcare (Vol. 60, pp. 25–35). Cham: Springer. https://doi.org/10.1007/978-3-319-39687-3_3

Carmona-Duarte, C., Gómez-Vilda, P., Plamondon, R., Rodellar-Biarge, V., Palacio-Alonso, D., Ferrer-Ballester, M. A., y Alonso-Hernández, J. B. (2017). Phonatory and articulatory correlates in kinematic neuromotor degeneration. En J. Ibá-ez, J. González-Vargas, J. M. Azorín, M. Akay y J. L. Pons (Eds.), Converging clinical and engineering research on neurorehabilitation II (pp. 203–208). Cham: Springer. https://doi.org/10.1007/978-3-319-46669-9_36

Delgado, C. (2016). Nadie está preparado para el diagnóstico de una enfermedad como la ELA. Diario El País. Disponible en http://economia.elpais.com/economia/2016/11/05/actualidad/1478300583_541697.html

Gomez-Barrero, M., Galbally, J., Fierrez, J., Ortega-García, J., y Plamondon, R. (2013). Variations of handwritten signatures with time : A Sigma-Lognormal analysis. In International Conference on Biometrics (ICB). https://doi.org/10.1109/ICB.2013.6612974

Gómez-Vilda, P., Londral, A. R. M., Rodellar-Biarge, V., Ferrández-Vicente, J. M., y de Carvalho, M. (2015). Monitoring amyotrophic lateral sclerosis by biomechanical modeling of speech production. Neurocomputing, 151(P1), 130-138. https://doi.org/10.1016/j.neucom.2014.07.074

O'Reilly, C., y Plamondon, R. (2009). Development of a Sigma-Lognormal representation for on-line signatures. Pattern Recognition, 42(12), 3324-3337. https://doi.org/10.1016/j.patcog.2008.10.017

O'Reilly, C., y Plamondon, R. (2012). Design of a Neuromuscular Disorders Diagnostic System using human movement analysis. The 11th International Conference on Information Sciences, Signal Processing and Their Applications, 787-792. https://doi.org/10.1109/ISSPA.2012.6310660

Peterson, G. E., y Barney, H. L. (1952). Control methods used in a study of the vowels. The Journal of the Acoustical Society of America, 24(2), 175-184. https://doi.org/10.1121/1.1906875

Plamondon, R. (1995). A kinematic theory of rapid human movements: Part I. Movement representation and generation. Biological Cybernetics, 72(4), 295-307. Disponible en https://www.ncbi.nlm.nih.gov/pubmed/7748959 https://doi.org/10.1007/BF00202785 PMid:7748959

Plamondon, R., y Djioua, M. (2006). A multi-level representation paradigm for handwriting stroke generation. Human Movement Science, 25(4–5), 586-607. https://doi.org/10.1016/j.humov.2006.07.004 PMid:17023083

Plamondon, R., Djioua, M., y Mathieu, P. A. (2013). Time-dependence between upper arm muscles activity during rapid movements: Observation of the proportional effects predicted by the kinematic theory. Human Movement Science, 32(5), 1026-1039. https://doi.org/10.1016/j.humov.2012.07.006 PMid:23219167

Plamondon, R., O'Reilly, C., y Ouellet-Plamondon, C. (2014). Strokes against stroke - Strokes for strides. Pattern Recognition, 47(3), 929-944. https://doi.org/10.1016/j.patcog.2013.05.004

Plamondon, R., O'Reilly, C., Rémi, C., y Duval, T. (2013). The lognormal handwriter: Learning, performing, and declining. Frontiers in Psychology, 4(DEC), 1-14. https://doi.org/10.3389/fpsyg.2013.00945