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Mobile application for remote therapy of hypokinetic dysarthria
Semanková, Soňa ; Mekyska, Jiří (referee) ; Galáž, Zoltán (advisor)
Hypokinetic dysarthria is a motor speech disorder that is a common symptom of Parkinson’s disease. Currently, the 3F test is used in the Czech Republic for the diagnosis of dysarthria, on the basis of which a therapeutic material for dysarthria therapy has been developed. The material contains a large number of exercises from which the clinical speech therapist selects the appropriate exercises for the patient based on the previous diagnosis. Dysarthria tends to be a fluctuating condition, therefore the therapy plan needs to be adapted over time to the patient’s current condition. This is the reason why there is a need for a therapeutic mobile application that would simplify the work of the speech therapist and make the patient’s therapy more comfortable. The goal of this thesis is to design, implement and test such a therapeutic application and web interface that will be used by speech therapists to manage patients’ treatment plans. The result of the work is a functional multiplatform therapeutic application with an administration web interface. The server side of the application is implemented using Django framework in Python and the user interface is implemented using React Native and React frameworks in TypeScript.
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Specifics of speech and language therapy intervention in adults after stroke
Králová, Tereza ; Horynová, Jana (advisor) ; Klenková, Jiřina (referee)
The thesis focuses on the specifics of speech therapy intervention in adults after stroke in the acute and subacute phase of the disease. The thesis is divided into two main parts, namely the theoretical part and the empirical part. The theoretical part of the thesis defines the concept of stroke and summarizes the knowledge in the field of etiology, symptomatology, diagnosis and prevention. It also defines the individual communication disorders associated with stroke (i.e. aphasia, dysarthria, dyspraxia, dysphagia and cognitive-communication disorders), their classification, aetiology, symptomatology, diagnosis and therapy. The empirical part of the thesis is focused on a qualitative research investigation, the main aim of which is to identify and describe the specifics of speech therapy intervention in people after stroke in the acute and subacute phase of the disease, when the patient is hospitalized in a hospital. The research investigation is carried out by direct observation of the work of a clinical speech therapist in a hospital setting in patients after stroke in the acute and subacute phase of the disease, as well as by analysis of medical reports and documents. From the results of direct observation and document analysis, five case studies of patients hospitalized in the hospital just...
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Objectification of the Test 3F - dysarthric profile based on acoustic analysis
Bezůšek, Marek ; Galáž, Zoltán (referee) ; Mekyska, Jiří (advisor)
Test 3F is used to diagnose the extent of motor speech disorder – dysarthria for czech speakers. The evaluation of dysarthric speech is distorted by subjective assessment. The motivation behind this thesis is that there are not many automatic and objective analysis tools that can be used to evaluate phonation, articulation, prosody and respiration of speech disorder. The aim of this diploma thesis is to identify, implement and test acoustic features of speech that could be used to objectify and automate the evaluation. These features should be easily interpretable by the clinician. It is assumed that the evaluation could be more precise because of the detailed analysis that acoustic features provide. The performance of these features was tested on database of 151 czech speakers that consists of 51 healthy speakers and 100 patients. Statistical analysis and methods of machine learning were used to identify the correlation between features and subjective assesment. 27 of total 30 speech tasks of Test 3F were identified as suitable for automatic evaluation. Within the scope of this thesis only 10 tasks of Test 3F were tested because only a limited part of the database could be preprocessed. The result of statistical analysis is 14 features that were most useful for the test evaluation. The most significant features are: MET (respiration), relF0SD (intonation), relSEOVR (voice intensity – prosody). The lowest prediction error of the machine learning regression models was 7.14 %. The conclusion is that the evaluation of most of the tasks of Test 3F can be automated. The results of analysis of 10 tasks shows that the most significant factor in dysarthria evaluation is limited expiration, monotone voice and low variabilty of speech intensity.
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Mobile application for dysarthria assessment utilising the Test 3F
Grenčík, Dominik ; Mucha, Ján (referee) ; Mekyska, Jiří (advisor)
Speech dysarthria is a impaired communication ability, a motor disorder affecting basic modal aspects of speech. In the Czech Republic, Test 3F, developed in the current clinical speech therapy, is used in diagnostics in both text and electronic form, consisting of 45 execution tasks. Currently, the trend of using mobile applications is expanding in various areas of life, which speed up and streamline human communication and work. The aim of this work is to create a simple but high-quality and reliable mobile application of Test 3F as a diagnostic tool for the examination of speech dysarthria in an effort to help clinical speech therapy in simplifying the diagnosis of this disorder. Mobile application is programmed using several programming languages: Backend is programmed in PHP using the Laravel framework. Frontend is programmed in JavaScript using the React library and the Material UI component library.
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Application for dysarthria examination using test 3F for Android
Sarker, Joy Tomáš ; Mekyska, Jiří (referee) ; Mucha, Ján (advisor)
This bachelor thesis focuses on diagnosing dysarthria thru a diagnosis apparatus called “Test 3F dysarthria profile“. During an examination with the apparatus the examined person undergoes 45 exercises that are meant to test respiration, phonation, phonetics, and the volubility of certain speech organs. The examiner, a clinical speech therapist, assesses the execution quality of each exercise with a number from 0 to 2. On the grounds of received points from all the exercises the level of dysarthria is diagnosed. The 3F test in this bachelor thesis is implemented as an Android application for Android devices and is supplemented by a partial automation of the examination based on an acoustic analysis of recorded speech of the examinee. The recorded speech is pre-processed by segmentation into 25 ms long frames using Hamming window. From this aforementioned speech recording we can determine speech fundamental frequency, jitter, and shimmer. The main goal and outcome is the creation of a modern mobile application for Android devices which, with the help of the 3F test, will make diagnosing dysarthria easier.
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Mobile application for dysarthria assessment utilising the Test 3F
Grenčík, Dominik ; Mucha, Ján (referee) ; Mekyska, Jiří (advisor)
Speech dysarthria is a impaired communication ability, a motor disorder affecting basic modal aspects of speech. In the Czech Republic, Test 3F, developed in the current clinical speech therapy, is used in diagnostics in both text and electronic form, consisting of 45 execution tasks. Currently, the trend of using mobile applications is expanding in various areas of life, which speed up and streamline human communication and work. The aim of this work is to create a simple but high-quality and reliable mobile application of Test 3F as a diagnostic tool for the examination of speech dysarthria in an effort to help clinical speech therapy in simplifying the diagnosis of this disorder. Mobile application is programmed using several programming languages: Backend is programmed in PHP using the Laravel framework. Frontend is programmed in JavaScript using the React library and the Material UI component library.
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The intervention of physiotherapy in the treatment of dysarthria after stroke
Nováková, Kateřina ; Bitnar, Petr (advisor) ; Roubíčková, Lenka (referee)
Stroke is the most comman cause of the speech disorders in adults. Dysarthria, as a motor speech disorder, is one of them. The treatement is based not only on vocal and articulatory exercices, but it requires the complex rehabilitation treatement. The benefit of the physiotherapeutic intervention beside speech therapy might be large. The treatement of the muskuloskeletal system allows to see the orofacial disorders in the context of the posture of the whole body. This work wants to make a view on the process of speech production and to describe relationship of the musculoskeletal system and speech. This work also summarises the basic informations about pathogenesis of dysarthria and particularly about the treatement. The swallowing disorders are also very comman complication of the stroke and occur very often with dysarthria. The aim of this work is to describe the specific role of the physiotherapy in the treatement of dysarthria and look for some possibility of the cooperation between physiotherapist and clinical speech therapiste. The form of the work is the research with case history. Powered by TCPDF (www.tcpdf.org)
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Communication disability in patients with cerebral palsy and it's effect on communication and socialization of the individuals
Hálová, Barbora ; Korandová, Zuzana (advisor) ; Horynová, Jana (referee)
This Master's thesis explores how developmental dysarthria and communication disability effect the socialization and communication abilities of people with cerebral palsy. The thesis is divided into two primary sections: theoretical and empirical. The theoretical part is divided into four sections (cerebral palsy, disrupted communication abilities in people with cerebral palsy, dysarthria, communication and socialization in people with cerebral palsy). The next part of the work presents the analysis of dysarthria and disrupted communication abilities effect of the socialization and communication abilities in people with cerebral palsy. The empirical section is based on original research, primarily employing qualitative methods, namely semi-structured interviews. I interviewed six individuals all of whom are affected by cerebral palsy and developmental dysarthria. Research goals included how disrupted communication skills, known as developmental dysarthria, affect the individuals' communication and socialization skills, how it affects them in daily situations, what the main hallmarks of these situations are, what these situations have in common and how developmental dysarthria affects the individuals' motivation towards socializing. The results showed that the degree to which disrupted...
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Objectification of the Test 3F - dysarthric profile based on acoustic analysis
Bezůšek, Marek ; Galáž, Zoltán (referee) ; Mekyska, Jiří (advisor)
Test 3F is used to diagnose the extent of motor speech disorder – dysarthria for czech speakers. The evaluation of dysarthric speech is distorted by subjective assessment. The motivation behind this thesis is that there are not many automatic and objective analysis tools that can be used to evaluate phonation, articulation, prosody and respiration of speech disorder. The aim of this diploma thesis is to identify, implement and test acoustic features of speech that could be used to objectify and automate the evaluation. These features should be easily interpretable by the clinician. It is assumed that the evaluation could be more precise because of the detailed analysis that acoustic features provide. The performance of these features was tested on database of 151 czech speakers that consists of 51 healthy speakers and 100 patients. Statistical analysis and methods of machine learning were used to identify the correlation between features and subjective assesment. 27 of total 30 speech tasks of Test 3F were identified as suitable for automatic evaluation. Within the scope of this thesis only 10 tasks of Test 3F were tested because only a limited part of the database could be preprocessed. The result of statistical analysis is 14 features that were most useful for the test evaluation. The most significant features are: MET (respiration), relF0SD (intonation), relSEOVR (voice intensity – prosody). The lowest prediction error of the machine learning regression models was 7.14 %. The conclusion is that the evaluation of most of the tasks of Test 3F can be automated. The results of analysis of 10 tasks shows that the most significant factor in dysarthria evaluation is limited expiration, monotone voice and low variabilty of speech intensity.
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