Neuromechanical Modelling of Articulatory Movements from
Surface Electromyography and Speech Formants

J 2019

Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants

GOMEZ-VILDA, Pedro, Andres GOMEZ-RODELLAR, Jose M. VICENTE, Jiri MEKYSKA, Daniel PALACIOS-ALONSO et. al.

Základní údaje

Originální název

Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants

Autoři

GOMEZ-VILDA, Pedro (724 Španělsko), Andres GOMEZ-RODELLAR (724 Španělsko), Jose M. VICENTE (724 Španělsko), Jiri MEKYSKA (203 Česká republika), Daniel PALACIOS-ALONSO (724 Španělsko), Victoria RODELLAR-BIARGE (724 Španělsko), Agustin ALVAREZ-MARQUINA (724 Španělsko), Ilona ELIÁŠOVÁ (203 Česká republika, domácí), Milena KOŠŤÁLOVÁ (203 Česká republika, domácí) a Irena REKTOROVÁ (203 Česká republika, garant, domácí)

Vydání

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, SINGAPORE, WORLD SCIENTIFIC PUBL CO PTE LTD, 2019, 0129-0657

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Singapur

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 5.604

Kód RIV

RIV/00216224:14740/19:00108465

Organizační jednotka

Středoevropský technologický institut

DOI

http://dx.doi.org/10.1142/S0129065718500399

UT WoS

000459454300005

Klíčová slova anglicky

Speech neuromotor activity; facial myoelectric activity; dysfluency; dysarthria; Parkinson's Disease

Štítky

14110127, 14110221, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 9. 3. 2020 09:31, Mgr. Pavla Foltynová, Ph.D.

Anotace

V originále

Speech articulation is produced by the movements of muscles in the larynx, pharynx, mouth and face. Therefore speech shows acoustic features as formants which are directly related with neuromotor actions of these muscles. The first two formants are strongly related with jaw and tongue muscular activity. Speech can be used as a simple and ubiquitous signal, easy to record and process, either locally or on e-Health platforms. This fact may open a wide set of applications in the study of functional grading and monitoring neurodegenerative diseases. A relevant question, in this sense, is how far speech correlates and neuromotor actions are related. This preliminary study is intended to find answers to this question by using surface electromyographic recordings on the masseter and the acoustic kinematics related with the first formant. It is shown in the study that relevant correlations can be found among the surface electromyographic activity (dynamic muscle behavior) and the positions and first derivatives of the first formant (kinematic variables related to vertical velocity and acceleration of the joint jaw and tongue biomechanical system). As an application example, it is shown that the probability density function associated to these kinematic variables is more sensitive than classical features as Vowel Space Area (VSA) or Formant Centralization Ratio (FCR) in characterizing neuromotor degeneration in Parkinson's Disease.

Návaznosti

NV16-30805A, projekt VaV

Název: Efekt neinvazivní stimulace mozku na hypokinetickou dysartrii, mikrografii a mozkovou plasticitu u pacientů s Parkinsonovou nemocí

Citovat

GOMEZ-VILDA, Pedro, Andres GOMEZ-RODELLAR, Jose M. VICENTE, Jiri MEKYSKA, Daniel PALACIOS-ALONSO, Victoria RODELLAR-BIARGE, Agustin ALVAREZ-MARQUINA, Ilona ELIÁŠOVÁ, Milena KOŠŤÁLOVÁ a Irena REKTOROVÁ. Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS. SINGAPORE: WORLD SCIENTIFIC PUBL CO PTE LTD, 2019, roč. 29, č. 2, s. 1-17. ISSN 0129-0657. Dostupné z: https://dx.doi.org/10.1142/S0129065718500399.

@article{1527161,
   author = {GomezandVilda, Pedro and GomezandRodellar, Andres and Vicente, Jose M. and Mekyska, Jiri and PalaciosandAlonso, Daniel and RodellarandBiarge, Victoria and AlvarezandMarquina, Agustin and Eliášová, Ilona and Košťálová, Milena and Rektorová, Irena},
   article_location = {SINGAPORE},
   article_number = {2},
   doi = {http://dx.doi.org/10.1142/S0129065718500399},
   keywords = {Speech neuromotor activity; facial myoelectric activity; dysfluency; dysarthria; Parkinson's Disease},
   language = {eng},
   issn = {0129-0657},
   journal = {INTERNATIONAL JOURNAL OF NEURAL SYSTEMS},
   title = {Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants},
   url = {https://www.worldscientific.com/doi/abs/10.1142/S0129065718500399},
   volume = {29},
   year = {2019}
}

TY  - JOUR
ID  - 1527161
AU  - Gomez-Vilda, Pedro - Gomez-Rodellar, Andres - Vicente, Jose M. - Mekyska, Jiri - Palacios-Alonso, Daniel - Rodellar-Biarge, Victoria - Alvarez-Marquina, Agustin - Eliášová, Ilona - Košťálová, Milena - Rektorová, Irena
PY  - 2019
TI  - Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants
JF  - INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
VL  - 29
IS  - 2
SP  - 1-17
EP  - 1-17
PB  - WORLD SCIENTIFIC PUBL CO PTE LTD
SN  - 01290657
KW  - Speech neuromotor activity
KW  - facial myoelectric activity
KW  - dysfluency
KW  - dysarthria
KW  - Parkinson's Disease
UR  - https://www.worldscientific.com/doi/abs/10.1142/S0129065718500399
L2  - https://www.worldscientific.com/doi/abs/10.1142/S0129065718500399
N2  - Speech articulation is produced by the movements of muscles in the larynx, pharynx, mouth and face. Therefore speech shows acoustic features as formants which are directly related with neuromotor actions of these muscles. The first two formants are strongly related with jaw and tongue muscular activity. Speech can be used as a simple and ubiquitous signal, easy to record and process, either locally or on e-Health platforms. This fact may open a wide set of applications in the study of functional grading and monitoring neurodegenerative diseases. A relevant question, in this sense, is how far speech correlates and neuromotor actions are related. This preliminary study is intended to find answers to this question by using surface electromyographic recordings on the masseter and the acoustic kinematics related with the first formant. It is shown in the study that relevant correlations can be found among the surface electromyographic activity (dynamic muscle behavior) and the positions and first derivatives of the first formant (kinematic variables related to vertical velocity and acceleration of the joint jaw and tongue biomechanical system). As an application example, it is shown that the probability density function associated to these kinematic variables is more sensitive than classical features as Vowel Space Area (VSA) or Formant Centralization Ratio (FCR) in characterizing neuromotor degeneration in Parkinson's Disease.
ER  -

GOMEZ-VILDA, Pedro, Andres GOMEZ-RODELLAR, Jose M. VICENTE, Jiri MEKYSKA, Daniel PALACIOS-ALONSO, Victoria RODELLAR-BIARGE, Agustin ALVAREZ-MARQUINA, Ilona ELIÁŠOVÁ, Milena KOŠŤÁLOVÁ a Irena REKTOROVÁ. Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants. \textit{INTERNATIONAL JOURNAL OF NEURAL SYSTEMS}. SINGAPORE: WORLD SCIENTIFIC PUBL CO PTE LTD, 2019, roč.~29, č.~2, s.~1-17. ISSN~0129-0657. Dostupné z: https://dx.doi.org/10.1142/S0129065718500399.

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