non-linear dynamics

Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease

Parkinson’s disease is a progressive neurological disorder that affects the motor system and produces several problems to control muscles and limbs. One of the major manifestations of the disease appears in gait and typically causes disability in the …

Gait Assessment of Patients with Parkinson’s Disease using Inertial Sensors and Non-Linear Dynamics Features

Ingeniería electrónica, Universidad de Antioquia, 2018

Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features

Background and objectives: Parkinson’s disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease. Handwriting …

A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson’s Disease

Parkinson’s disease is a neuro-degenerative disorder characterized by different motor symptoms, including several gait impairments. Gait analysis is a suitable tool to support the diagnosis and to monitor the state of the disease. This study proposes …

Automatic detection of hypernasal speech of children with cleft lip and palate from spanish vowels and words using classical measures and nonlinear analysis

This paper presents a system for the automatic detection of hypernasal speech signals based on the combination of two different characterization approaches applied to the five Spanish vowels and two selected words. First one is based on classical …

Emotion recognition from speech with acoustic, non-linear and wavelet-based features extracted in different acoustic conditions

In the last years, there has a great progress in automatic speech recognition. The challenge now it is not only recognize the semantic content in the speech but also the called 'paralinguistic' aspects of the speech, including the emotions, and the …

Non-linear dynamics characterization from wavelet packet transform for automatic recognition of emotional speech

A new set of features based on non-linear dynamics measures obtained from the wavelet packet transform for the automatic recognition of “fear-type” emotions in speech is proposed. The experiments are carried out using three different databases with a …

Automatic emotion recognition in compressed speech using acoustic and non-linear features

Automatic recognition of emotions in speech has attracted the attention of the research community in recent years. Some of the most relevant proposed applications of it are in call-centers. In these scenarios the speech is distorted by compression …