422 research outputs found

    Rhythmic performance in hypokinetic dysarthria : relationship between reading, spontaneous speech and diadochokinetic tasks

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    Purpose: This study aimed to investigate whether rhythm metrics are sensitive to change in speakers with mild hypokinetic dysarthria, whether such changes can be detected in reading and spontaneous speech, and whether diadochokinetic (DDK) performance relates to rhythmic properties of speech tasks. Method: Ten people with Parkinson’s Disease (PwPD) with mild hypokinetic dysarthria and ten healthy control speakers produced DDK repetitions, a reading passage and a spontaneous monologue. Articulation rate, as well as ten rhythm metrics were applied to the speech data. DDK performance was captured by mean, standard deviation (SD) and coefficient of variation (CoV) of syllable duration. Results: Group differences were apparent across both speech tasks, but mainly in spontaneous speech. The control speakers changed their rhythm performance between the two tasks, whereas the PwPD displayed a more constant behaviour. The correlation analysis of speech and DDK tasks resulted in few meaningful relationships. Conclusions: Rhythm metrics appeared to be sensitive to mild levels of impairment in PwPD. They are thus suitable for use as diagnostic or outcome measures. In addition, we demonstrated that conversational data can be used in the investigation of rhythm. Finally, the value of DDK tasks in predicting the rhythm performance during speech could not be demonstrated successfully

    Factors influencing the efficacy of delayed auditory feedback in treating dysarthria associated with Parkinson\u27s disease

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    Parkinson\u27s disease patients exhibit a high prevalence of speech deficits including excessive speech rate, reduced intelligibility, and disfluencies. The present study examined the effects of delayed auditory feedback (DAF) as a rate control intervention for dysarthric speakers with Parkinson\u27s disease. Adverse reactions to relatively long delay intervals are commonly observed during clinical use of DAF, and seem to result from improper matching of the delayed signal. To facilitate optimal use of DAF, therefore, clinicians must provide instruction, modeling, and feedback. Clinician instruction is frequently used in speech-language therapy, but has not been evaluated during use of DAF-based interventions. Therefore, the primary purpose of the present study was to evaluate the impact of clinician instruction on the effectiveness of DAF in treating speech deficits. A related purpose was to compare the effects of different delay intervals on speech behaviors. An A-B-A-B single-subject design was utilized. The A phases consisted of a sentence reading task using DAF, while the B phases incorporated clinician instruction into the DAF protocol. During each of the 16 experimental sessions, speakers read with four different delay intervals (0 ms, 50 ms, 100 ms, and 150 ms). During the B phases, the experimenter provided verbal feedback and modeling pertaining to how precisely the speaker matched the delayed signal. Dependent variables measured were speech rate, percent intelligible syllables, and percent disfluencies. Three males with Parkinson\u27s disease and an associated dysarthria participated in the study. Results revealed that for all three speakers, DAF significantly reduced reading rate and produced significant improvements in either intelligibility (for Speaker 3) or fluency (for Speakers 1 and 2). A delay interval of 150 ms produced the greatest reductions in reading rates for all three speakers, although any of the DAF settings used was sufficient to produce significant improvements in either intelligibility or fluency. In addition, supplementing the DAF intervention with clinician instruction resulted in significantly greater gains achieved with DAF. These findings confirmed the effectiveness of various intervals of DAF in improving speech deficits in Parkinson\u27s disease speakers, particular when patients are provided with instruction and modeling from the clinician

    The effect of articulation and word-meaning on gait and balance in people with Parkinson’s disease

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    Performing two tasks simultaneously is ubiquitous in everyday life, and the resulting interference may degrade performance on one or both of the tasks. This is potentially important, as diminished performance of a postural task places an individual at a greater risk for falling, especially in a movement impaired population such as individuals with Parkinson’s disease (PD). Many secondary tasks have been shown to reduce the performance of gait and balance, but to date only one study has investigated the effects of a verbal secondary task that systematically controls articulatory, cognitive, and linguistic demands. Previous research suggested that these components have independent effects on gait and balance within a sample of healthy young adults. The purpose of the present study was to replicate this previous research, within a sample of healthy older adults (n=20) and a sample of individuals with PD (n=20), and to evaluate the effects of individual differences in information processing speed, on dual-task interference. Results suggested that oral-motor movement significantly affected parameters of gait and balance, with men displaying significantly more dual-task interference than women. The addition of speech and lexicality to the secondary task did not significantly increase interference during the gait or balance protocol. Results also indicated that dual-task interference is directly related to individual differences in information processing speed, a finding that supports the capacity-sharing model of dual task interference

    CNN AND LSTM FOR THE CLASSIFICATION OF PARKINSON'S DISEASE BASED ON THE GTCC AND MFCC

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    Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical presentations; it represents a rapidly growing neurodegenerative disorder. Since about 90 percent of Parkinson's disease sufferers have some form of early speech impairment, recent studies on tele diagnosis of Parkinson's disease have focused on the recognition of voice impairments from vowel phonations or the subjects' discourse. In this paper, we present a new approach for Parkinson's disease detection from speech sounds that are based on CNN and LSTM and uses two categories of characteristics Mel Frequency Cepstral Coefficients (MFCC) and Gammatone Cepstral Coefficients (GTCC) obtained from noise-removed speech signals with comparative EMD-DWT and DWT-EMD analysis. The proposed model is divided into three stages. In the first step, noise is removed from the signals using the EMD-DWT and DWT-EMD methods. In the second step, the GTCC and MFCC are extracted from the enhanced audio signals. The classification process is carried out in the third step by feeding these features into the LSTM and CNN models, which are designed to define sequential information from the extracted features. The experiments are performed using PC-GITA and Sakar datasets and 10-fold cross validation method, the highest classification accuracy for the Sakar dataset reached 100% for both EMD-DWT-GTCC-CNN and DWT-EMD-GTCC-CNN, and for the PC-GITA dataset, the accuracy is reached 100% for EMD-DWT-GTCC-CNN and 96.55% for DWT-EMD-GTCC-CNN. The results of this study indicate that the characteristics of GTCC are more appropriate and accurate for the assessment of PD than MFCC

    PERIORAL BIOMECHANICS, KINEMATICS, AND ELECTROPHYSIOLOGY IN PARKINSON'S DISEASE

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    This investigation quantitatively characterized the orofacial biomechanics, labial kinematics, and associated electromyography (EMG) patterns in individuals with Parkinson's disease (PD) as a function of anti-PD medication state. Passive perioral stiffness, a clinical correlate of rigidity, was sampled using a face-referenced OroSTIFF system in 10 mildly diagnosed PD and 10 age/sex-matched control elderly. Labial movement amplitudes and velocities were evaluated using a 4-dimensional computerized motion capture system. Associated perioral EMG patterns were sampled to examine the characteristics of perioral muscles and compensatory muscular activation patterns during repetitive syllable productions. This study identified several trends that reflect various characteristics of perioral system differences between PD and control subjects: 1. The presence of high tonic EMG patterns after administration of dopaminergic treatment indicated an up-regulation of the central mechanism, which may serve to regulate orofacial postural control. 2. Multilevel regression modeling showed greater perioral stiffness in PD subjects, confirming the clinical correlate of rigidity in these patients. 3. Similar to the clinical symptoms in the upper and lower limb, a reduction of range of motion (hypokinesia) and velocity (bradykinesia) was evident in the PD orofacial system. Administration of dopaminergic treatment improved hypokinesia and bradykinesia. 4. A significant correlation was found between perioral stiffness and the range of labial movement, indicating these two symptoms may result in part from a common neural substrate. 5. As speech rate increased, PD speakers down-scaled movement amplitude and velocity compared to the control subjects, reflecting a compensatory mechanism to maintain target speech rates. 6. EMG from orbicularis oris inferior (OOIm) and depressor labii inferioris (DLIm) muscles revealed a limited range of muscle activation level in PD speakers, reflecting the underlying changes in motor unit firing behavior due to basal ganglia dysfunction. The results of this investigation provided a quantitative description of the perioral stiffness, labial kinematics, and EMG patterns in PD speakers. These findings indicate that perioral stiffness may provide clinicians a quantitative biomechanical correlate to medication response, movement aberrations, and EMG compensatory patterns in PD. The utilization of these objective assessments will be helpful in diagnosing, assessing, and monitoring the progression of PD to examine the efficacy of pharmacological, neurosurgical, and behavioral interventions

    SPECTRAL/CEPSTRAL ANALYSIS OF VOICE QUALITY IN PATIENTS WITH PARKINSONS DISEASE

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    The purpose of this dissertation was to determine whether Silverman Voice Treatment (LSVT) affects cepstral/spectral measures of voice quality in speakers with idiopathic Parkinsons Disease (PD). The first study investigated the effect of LSVT on cepstral/spectral measures of sustained // vowels to determine whether voice quality improves. Few studies have investigated the effects of LSVT on voice quality using acoustic measures, and none have used cepstral measures. The first study investigated the effect of LSVT on cepstral/spectral analyses of sustained // vowels produced by speakers. Sustained vowels were analyzed for cepstral peak prominence (CPP), CPP Standard Deviation (CPP-SD), Low/High Spectral Ratio (L/H SR), and Cepstral/Spectral Index of Dysphonia (CSID) using the Analysis of Dysphonia in Speech and Voice (ADSV) program. The study found both improved harmonic structure and voice quality as reflected in cepstral/spectral measures. Voice quality in connected speech is important because it is representative of how a typical individual communicates. Thus, the second studys goals were: First, to investigate the effect of LSVT on cepstral/spectral analysis of connected speech; and second, to compare cepstral/spectral analyses findings in connected speech with findings observed in sustained phonation. Another goal was to examine individual differences in response to treatment and compare them to individual changes observed in sustained phonation. The results demonstrated that CPP increased significantly following LSVT, indicating improved harmonic dominance as a result of treatment, and CSID decreased following LSVT, indicating a reduction of the overall severity in connected speech at the group level. Analysis of individual differences demonstrated that only four participants improved by at least one half Standard Deviation (SD) following treatment in CPP, CPP-SD, and CSID in both sustained phonation and connected speech tasks. Three showed a reduction in L/H SR in sustained phonation and only one showed an increase in L/H SR in connected speech. The other participants improvement varied, but the majority demonstrated voice quality improvement in sustained phonation. The overall results indicated that CPP and CSID were strong acoustic measures for demonstrating voice quality improvement following treatment in both tasks connected speech and sustained phonation

    Length analysis of speech to be recorded in the recognition of Parkinson's disease

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    Parkinson's disease is an incurable neurodegenerative disease to the present clinical knowledge. It is diagnosed mostly by exclusion tests. Numerous studies have confirmed that speech can be promising to suspect the presence of the disease. On the other hand, just a few researches discuss the appropriate length of the speech sample or the contribution of parts of the full-length recordings in the classification. Hence, we partitioned each original recording into four shorter samples. We trained linear and radial basis function (rbf) kernel Support Vector Machine (SVM) models separately for original recordings, each partitioned group and all partitioned samples together. We found no significant difference between the results of the rbf kernel models. However, we obtained significantly better results with a portion of the entire speech using linear kernel models. In conclusion, even a shorter piece of a longer speech may be adequate for classification

    THE EFFECT OF WORD LENGTH, ORAL-MOTOR MOVEMENT, ARTICULATION, AND LEXICALITY ON GAIT AND BALANCE

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    Performing two tasks in dual-task situations is a requirement in activities of daily living. An inability to dual-task is demonstrated generally by diminished performance on one or both of the tasks. Performing a verbal task can produce a reduced ability to perform a gait task and to maintain balance. Impairment on either of these postural tasks can increase the likelihood of falling, particularly among older adults. Dual-task interference has been demonstrated to be significantly impacted by a number of characteristics of secondary verbal tasks (including dimensions of both motoric and cognitive complexity]. Previous studies have not, however, exerted sufficient control over articulation or cognitive-linguistic processing, within the secondary task. The studies presented in this thesis used a dual-task paradigm that manipulated word length, oral-motor movement, articulation, and lexicality, within a verbal task, while assessing the affects of dual-task interference on both gait and balance. A sample of healthy young adults (pilotstudy: 15 women; gait and balance studies: 20womenand20 men) were asked to repeat a series of verbal stimuli while walking approximately 6m, and while maintaining an independent upright posture for 10 seconds at a time. Participants also were asked to complete a test of perceptual speed, as an indicator of information processing speed, separate from the dual-task protocol. Results suggest that oral-motor movement, articulation, and lexicality had unique effects on dual-task performance, with women demonstrating significantly more dual-task interference than men. Furthermore, results suggested that the ability to dual-task is directly related to an individual’s information processing capacity. Results supported the capacity-sharing model of dual-task interferenc
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