Publication detail

A Multimodal Approach for Parkinson Disease Analysis

FAÚNDEZ ZANUY, M. SATUE-VILLAR, A. MEKYSKA, J. ARREOLA, V. SANZ, P. PAUL, C. GUIRAO, L. SERRA, M. ROFES, L. CLAVÉ, P. SESA-NOGUERAS, E. ROURE-ALCOBE, J.

Original Title

A Multimodal Approach for Parkinson Disease Analysis

English Title

A Multimodal Approach for Parkinson Disease Analysis

Type

book chapter

Language

en

Original Abstract

Parkinson’s disease (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1-1 %, and an annual incidence between 1.3-2.0/10000 inhabitants. The mean age at diagnosis of PD is 55 and most patients are between 50 and 80 years old. The most obvious symptoms are movement-related; these include tremor, rigidity, slowness of movement and walking difficulties. Frequently these are the symptoms that lead to the PD diagnoses. Later, thinking and behavioral problems may arise, and other symptoms include cognitive impairment and sensory, sleep and emotional problems. In this paper we will present an ongoing project that will evaluate if voice and handwriting analysis can be reliable predictors/indicators of swallowing and balance impairments in PD. An important advantage of voice and handwritten analysis is its low intrusiveness and easy implementation in clinical practice. Thus, if a significant correlation between these simple analyses and the gold standard video-fluoroscopic analysis will imply simpler and less stressing diagnostic test for the patients as well as the use of cheaper analysis systems.

English abstract

Parkinson’s disease (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1-1 %, and an annual incidence between 1.3-2.0/10000 inhabitants. The mean age at diagnosis of PD is 55 and most patients are between 50 and 80 years old. The most obvious symptoms are movement-related; these include tremor, rigidity, slowness of movement and walking difficulties. Frequently these are the symptoms that lead to the PD diagnoses. Later, thinking and behavioral problems may arise, and other symptoms include cognitive impairment and sensory, sleep and emotional problems. In this paper we will present an ongoing project that will evaluate if voice and handwriting analysis can be reliable predictors/indicators of swallowing and balance impairments in PD. An important advantage of voice and handwritten analysis is its low intrusiveness and easy implementation in clinical practice. Thus, if a significant correlation between these simple analyses and the gold standard video-fluoroscopic analysis will imply simpler and less stressing diagnostic test for the patients as well as the use of cheaper analysis systems.

Keywords

speech analysis, dysphagia, Parkinson’s disease, database

Released

01.01.2015

Publisher

Springer International Publishing

Location

New York

ISBN

978-3-319-18163-9

Book

Advances in Neural Networks: Computational and Theoretical Issues

Pages from

311

Pages to

318

Pages count

8

BibTex


@inbook{BUT115861,
  author="Marcos {Faúndez Zanuy} and Antonio {Satue-Villar} and Jiří {Mekyska} and Viridiana {Arreola} and Pilar {Sanz} and Carles {Paul} and Luis {Guirao} and Mateu {Serra} and Laia {Rofes} and Pere {Clavé} and Enric {Sesa-Nogueras} and Josep {Roure-Alcobe}",
  title="A Multimodal Approach for Parkinson Disease Analysis",
  annote="Parkinson’s disease (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1-1 %, and an annual incidence between 1.3-2.0/10000 inhabitants. The mean age at diagnosis of PD is 55 and most patients are between 50 and 80 years old. The most obvious symptoms are movement-related; these include tremor, rigidity, slowness of movement and walking difficulties. Frequently these are the symptoms that lead to the PD diagnoses. Later, thinking and behavioral problems may arise, and other symptoms include cognitive impairment and sensory, sleep and emotional problems. In this paper we will present an ongoing project that will evaluate if voice and handwriting analysis can be reliable predictors/indicators of swallowing and balance impairments in PD. An important advantage of voice and handwritten analysis is its low intrusiveness and easy implementation in clinical practice. Thus, if a significant correlation between these simple analyses and the gold standard video-fluoroscopic analysis will imply simpler and less stressing diagnostic test for the patients as well as the use of cheaper analysis systems.",
  address="Springer International Publishing",
  booktitle="Advances in Neural Networks: Computational and Theoretical Issues",
  chapter="115861",
  doi="10.1007/978-3-319-18164-6_30",
  howpublished="print",
  institution="Springer International Publishing",
  year="2015",
  month="january",
  pages="311--318",
  publisher="Springer International Publishing",
  type="book chapter"
}