scholarly journals Monitoring Parkinson Disease from speech articulation kinematics

Loquens ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 036
Author(s):  
Pedro Gómez ◽  
Jiri Mekyska ◽  
Andrés Gómez ◽  
Daniel Palacios ◽  
Victoria Rodellar ◽  
...  
Keyword(s):  
Information Theory ◽  
Pattern Recognition ◽  
Parkinson Disease ◽  
Speech Production ◽  
Dynamic Behavior ◽  
Lower Jaw ◽  
Kinematic Velocity ◽  
General Movements ◽  
Testing Protocols ◽  
Illness Progression

Parkinson Disease (PD) is a neuromotor illness affecting general movements of different muscles, those implied in speech production being among them. The relevance of speech in monitoring illness progression has been documented in these last two decades. Most of the studies have concentrated in dysarthria and dysphonia induced by the syndrome. The present work is devoted to explore how PD affects the dynamic behavior of the speech neuromotor biomechanics (neuromechanics) involved in deficient articulation (dysarthria), in contrast to classical measurements based on static features as extreme and central vowel triangle positions. A statistical distribution of the kinematic velocity of the lower jaw and tongue is introduced, which presents interesting properties regarding pattern recognition and classification. This function may be used to establish distances between different articulation profiles in terms of information theory. Results show that these distances are correlated with a set of tests currently used by neurologists in PD progress evaluation, and could be used in elaborating new speech testing protocols.

scholarly journals Multiple Granulation Rough Set Approach to Interval-Valued Intuitionistic Fuzzy Ordered Information Systems

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 949
Author(s):  
Zhen Li ◽  
Xiaoyan Zhang
Keyword(s):  
Information Theory ◽  
Pattern Recognition ◽  
Information System ◽  
Information Systems ◽  
Rough Set ◽  
Fuzzy Set ◽  
Equivalence Relation ◽  
Target Concept ◽  
Actual Case ◽  
Interval Valued

As a further extension of the fuzzy set and the intuitive fuzzy set, the interval-valued intuitive fuzzy set (IIFS) is a more effective tool to deal with uncertain problems. However, the classical rough set is based on the equivalence relation, which do not apply to the IIFS. In this paper, we combine the IIFS with the ordered information system to obtain the interval-valued intuitive fuzzy ordered information system (IIFOIS). On this basis, three types of multiple granulation rough set models based on the dominance relation are established to effectively overcome the limitation mentioned above, which belongs to the interdisciplinary subject of information theory in mathematics and pattern recognition. First, for an IIFOIS, we put forward a multiple granulation rough set (MGRS) model from two completely symmetry positions, which are optimistic and pessimistic, respectively. Furthermore, we discuss the approximation representation and a few essential characteristics for the target concept, besides several significant rough measures about two kinds of MGRS symmetry models are discussed. Furthermore, a more general MGRS model named the generalized MGRS (GMGRS) model is proposed in an IIFOIS, and some important properties and rough measures are also investigated. Finally, the relationships and differences between the single granulation rough set and the three types of MGRS are discussed carefully by comparing the rough measures between them in an IIFOIS. In order to better utilize the theory to realistic problems, an actual case shows the methods of MGRS models in an IIFOIS is given in this paper.

Preliminary Voice and Speech Analysis Following Fetal Dopamine Transplants in 5 Individuals With Parkinson Disease

1997 ◽  
Vol 40 (3) ◽  
pp. 615-626 ◽  
Author(s):  
Kristin K. Baker ◽  
Lorraine Olson Ramig ◽  
Antonia B. Johnson ◽  
Curt R. Freed
Keyword(s):  
Parkinson Disease ◽  
Speech Production ◽  
Drug Dose ◽  
Speech Analysis ◽  
Cell Transplant ◽  
Fetal Cell ◽  
Motor Systems ◽  
Post Surgery ◽  
New Form ◽  
Voice And Speech

A surgical procedure involving transplantation of fetal dopamine cells into the striatum of persons with advanced Parkinson disease (PD) has recently been performed in an attempt to alleviate Parkinsonian and drug-dose related symptoms (e.g., the “on-off” phenomena). Improvements in limb motor and neurological function, as well as less severe and shorter on-off episodes have been reported following fetal cell transplant (FCT) surgery. Acoustic, electroglottographic, and perceptual measures were analyzed pre- and post-surgery to determine if phonatory and articulatory function were affected by this relatively new form of treatment. In addition, speech and motor exam measures were compared to determine if similar directional changes across motor systems were apparent. Findings suggest that FCT surgery did not systematically influence voice and speech production. Also, it appears that FCT surgery may differentially affect phonatory, articulatory, and limb motor systems. Findings are discussed relative to these differential effects.

Study on Pattern Recognition of Radix Cynanchi Paniculati Based on Ultraviolet Spectm

2011 ◽  
Vol 268-270 ◽  
pp. 1879-1883 ◽  
Author(s):  
Jin Hong Gao
Keyword(s):  
Information Theory ◽  
Pattern Recognition ◽  
Ultraviolet Spectroscopy ◽  
Easy Method ◽  
Simple Operation ◽  
Pattern Recognition Analysis ◽  
Identification Analysis

This paper analyzes the data acquires from ultraviolet spectroscopy. Combining with information theory, it conducts pattern recognition analysis research to Radix Cynanchi Paniculati medicinal materials from different locations. The results show that combining with information theory, ultraviolet spectrometry can do identification analysis to Radix Cynanchi Paniculati. This analysis has easy method and simple operation.

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