Detail publikace

Automatic voice analysis for dysphagia detection

LOPEZ-DE-IPINA, K. CALVO, P. FAÚNDEZ ZANUY, M. CLAVÉ, P. NASCIMENTO, W. MARTINEZ DE LIZARDUY, U. DANIEL, A. VIRIDIANA, A. ORTEGA, O. MEKYSKA, J. SANZ-CARTAGENA, M.

Originální název

Automatic voice analysis for dysphagia detection

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

Purpose: A videofluoroscopic analysis is the gold standard approach to determine whether a dysphagia problem exists. This procedure is invasive as it involves radiation but also provides the most direct physical evidence of swallowing problems. The main goal of this study was to evaluate an automatic tool based on voice analysis to support medical detection of dysphagia. Methods: An automatic voice analysis system has been developed. Prior to (basal) and immediately following (viscosity) swallowing liquids of varying viscosity and volume, individuals with Parkinson Disease were required to produce the same test word. The acoustic features (linear and non-linear) of this word were then analyzed with regard to specific situations by standard and Machine Learning methods. Results: The results indicated a high degree of accuracy in detecting voice associated with basal and viscosity states. Conclusion: Thus, while the gold standard of dysphagia diagnosis continues to involve video-fluoroscopy analysis, the consideration of voice analysis may prove to be a far simpler and less invasive approach to diagnosis by advanced voice features.

Klíčová slova

voice analysis; dysphagia; Parkinson disease; detection

Autoři

LOPEZ-DE-IPINA, K.; CALVO, P.; FAÚNDEZ ZANUY, M.; CLAVÉ, P.; NASCIMENTO, W.; MARTINEZ DE LIZARDUY, U.; DANIEL, A.; VIRIDIANA, A.; ORTEGA, O.; MEKYSKA, J.; SANZ-CARTAGENA, M.

Vydáno

3. 4. 2018

Nakladatel

Taylor and Francis Ltd.

ISSN

2050-5728

Periodikum

Speech, Language and Hearing

Ročník

21

Číslo

2

Stát

Spojené království Velké Británie a Severního Irska

Strany od

86

Strany do

89

Strany počet

4

URL

http://www.tandfonline.com/doi/full/10.1080/2050571X.2017.1369017

BibTex

@article{BUT140606,
  author="Karmele {Lopez-de-Ipina} and Pilar {Calvo} and Marcos {Faúndez Zanuy} and Pere {Clavé} and Weslania Viviane {Nascimento} and Unai {Martinez de Lizarduy} and Alvarez-Berdugo {Daniel} and Arreola García {Viridiana} and Omar {Ortega} and Jiří {Mekyska} and M. Pilar {Sanz-Cartagena}",
  title="Automatic voice analysis for dysphagia detection",
  journal="Speech, Language and Hearing",
  year="2018",
  volume="21",
  number="2",
  pages="86--89",
  doi="10.1080/2050571X.2017.1369017",
  issn="2050-5728",
  url="http://www.tandfonline.com/doi/full/10.1080/2050571X.2017.1369017"
}