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Alternative rehabilitation methods in therapy of Parkinson's disease
Tupá, Veronika ; Pánek, David (advisor) ; Malá, Jitka (referee)
TITLE Alternative rehabilitation methods in therapy of Parkinson's disease OBJECTIVE The aim of work is to assemble new findings relating the rehabilitation of people with Parkinson disease. Furthermore to elaborate these information in form of literature search to allow their use in common practice. METHODS Up till now there were accomplished many studies which dealt with less common ways of therapy, but didn't find use in common practice. In this work these studies will be presented (in form of literature search). This work will be divided into two parts, where the first will sum up the issue of Parkinson's disease and the second part will deal with the alternative methods. Into this part studies detecting effects of dance therapy, tai-chi, qigong, treadmill training and box on symptoms of Parkinson's disease were chosen. Besides that, in discussion I plan on mentioning conventional therapy (rehabilitation) in Parkinson's disease as well as some guidelines written up in the Czech Republic. KEY WORDS Parkinson's disease, rehabilitation, physiotherapy, dance, therapy, tai chi, taiji, treadmill, gait
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Influence of deep brain stimulation on postural stability in patients with Parkinson disease
Zelenková, Jana ; Kobesová, Alena (advisor) ; Zárubová, Kateřina (referee)
Parkinson's disease is a neurodegenerative disease of the basal ganglia. Its main symptoms are rigidity, tremor, bradykinesia, hypokinesia and postural instability. One possible way how to infuence diseases is neurosurgical treatment - deep brain stimulation. The principle is the implantation of electrodes in the basal ganglia and modulation of activity of the basal ganglia circuits due to electrical stimulation. Stimulation affects the motor symptoms of Parkinson's disease. This thesis deals with the influence of deep brain stimulation on postural stability in patients with Parkinson's disease.
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Kinesiotherapy of patients with Parkinson's disease
Kadeřábková, Michaela ; Savková, Pavlína (advisor) ; Molnár, Petr (referee)
Author: Michaela Kadeřábková Department: Department of rehabilitation medicine Title of the master thesis: Kinesiotherapy of patients with Parkinson's disease Supervisor: Mgr. Pavlína Savková Number of pages: 81 Number of attachments: 6 The year of presentation: 2012 Key words: Parkinson's disease, rehabilitation, tremor, rigidity Bachelor thesis deals with in the theoretical part about the origin, clinical symptoms and especially the treatment of PD. The treatments focuses primarily on rehabilitation treatment and analyzes kinesitherapy and its possibilities. The practical part is devoted to treatment of patients who suffer from this disease. Kinesiotherapy in selected patients is concentrated on major problems and their physical shortcomings.
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Gait disorders in Patients with Parkinson's disease
Bulová, Hana ; Zárubová, Kateřina (advisor) ; Valouchová, Petra (referee)
This bachelor thesis deals with problems of the Parkinson's disease (PD). It is an incurable neurodegenerative disorder which is caused by degeneration of pigment cells producing dopamine in the substantia nigra. The lack of dopamine impairs regulating activities of the basal ganglia. That leads to manifestation of the typical symptoms of PD. Knowledge survey briefly describes symptoms, diagnostics and treatment for this disease. This paper focuses on neurolocomotor process, movement control and especially gait disorders which occurs in patients with Parkinson's disease. Problems with walking develops subsequently, progressively limiting patients in their daily activities. Because current medications providing little relieve, physiotherapy plays an important role in ameliorating these symptoms. This thesis describes various physiotherapeutic approaches. It emphasizes necessity of regular exercising which is absolutely essential to slow the progression of the disease and its debilitating effects. Practical part of this work focuses on the efficacy of the therapy on one patient. This man has the typical PD symptoms and freezing and hesitation often happens to him. He has no cognitive deficit which may hinder his ability to cooperate with therapist. This part also evaluate impact of the therapy based patient's...
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Acoustic analysis of gender-related patterns in Parkinson's disease
Herinek, Denis ; Kiska, Tomáš (referee) ; Galáž, Zoltán (advisor)
The bachelor's thesis is about acoustic analysis of gender-related patterns in Parkinson's disease by analysing speech task: reading passage. Parkinson's disease manifests in all subsystems involved in speech production (respiration, phonation, articulation and prosody). The aim of this thesis is familirization with symptoms of this disorder and speech parameters influenced by this disorder. Thesis contains preprocessing, parametrization of speech signal and statistic analysis of parameters. System of speech signal processing is created in MATLAB programming language.
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De-identification of speakers with hypokinetic dysarthria
Kárník, Radoslav ; Kiska, Tomáš (referee) ; Mekyska, Jiří (advisor)
This paper discuses design and implementation of a system that performs de-identification of speech recordings of patients suffering from Parkinson's disease. The paper describes causes and symptoms of Parkinson's disease and effects of hypokinetic dysarthria on speech. Part of the paper is devoted to speech features that can be used for diagnosing hypokinetic dysarthria from speech. It also describes ways of speech de-identification and system for evaluating results using recognition of speakers and patients. De-identification system uses vocal tract length normalization (VTLN) and evaluating system uses Gaussian mixture models (GMM). PARCZ database was used for testing. It contains recordings of speech of patients affected by Parkinson's disease and control speakers.
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Nursing care for a client suffering from Parkinson's disease
SVOBODOVÁ, Pavlína
Current state of the research field: Parkinson's disease is a neurodegenerative disease affecting basal ganglion. Brains of patients suffering from Parkinson's disease are damaged by death of dopamin producing cells in substantia nigra. Cause of this cell death is still unknown. Symptoms of Parkinson's disease include tremor, rigidity, aknesia and bradykinesia, disturbances to posture and gait, hypophonia, dysarthria, micrographia, eye movement abnormalities and decreased blink rate, hypomimia and mental, vegetative, sensoric and sensitive dysfunctions. In diagnosis of Parkinson's disease a medical history collected by a physician in collaboration with a nurse is used. Nurse assists a client with filling a questionnaire regarding nonmotoric symptoms. Furthermore, she carries out a L-dopa test. If symptoms are mitigated after drug administration, the test is considered being positive. Other examinations requiring nurse's assistance are DaTscan and histology. Pharmacological treatment relies on substitution of missing dopamin and hence restoring dopaminergic transfer. Nurse administers Levodopa, dopamin agonists or COMT inhibitors according to physician's decision. In neurosurgical treatment, where deep brain stimulation is used, nurse conducts preoperative and postoperative care. Pharmacological and neurosurgical treatment could be also combined with supportive treatment, about which should a nurse inform a client. Major nursing care complications in Parkinson's disease which are monitored by a nurse includes limited mobility, walking problems, tremor, impaired self-management, stress overload, anxiety, speech disturbances and voice disorders, constipation, urinary incontinence, impaired balance and frequent falls, inappetance and swallowing difficulties. Aims: To map problems in nursing care for a client suffering form Parkinson's disease from client's and nurse's points of view. To map nursing interventions in Parkinson's disease therapy from client's and nurse's points of view. Methods: Qualitative research in form of an in-depth interviews with nurses and clients was carried out. All interviews were recorded as a verbatim copy and coded using pencil and paper open coding method. Created codes were grouped into categories and subcategories. Interviews were carried out in March 2014. Participants: First set of participants comprised of ten nurses caring for Parkinson's disease suffering clients, four of them working at a department of neurology, four at a department of long-term care and aftercare, and two nurses providing a home care. Other set of participants comprised of six clients suffering from Parkinson's disease, five of them were members of Parkinson club České Budějovice, and the last was living in a village near Náměšť nad Oslavou. Results: Using the open coding method three categories, focused on particular topic, each containing several subcategories, were picked from interviews with both participant groups. Categories Nursing care problems, Nursing care and Specific interventions are identified in the first part. In the category nursing care problems nurses mostly agreed on a self-management deficit, movement difficulties, increased fall risk and communication problems. Aktivisation, motivation, rehabilitation, self-management training, regular drug administration and family participation were most frequently mentioned in the category nursing care. In the category specific interventions nurses focused on interventions directly related to particular problems. In the second part of the research categories Every day tasks management, Nursing care and Specific interventions are identified. In the every day tasks management category clients mentioned necessity of other parsons assistance in self-management, and movement difficulty and stiffness are considered being most annoying.
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Acoustic analysis of poem recitation in patients with Parkinson's disease
Mucha, Ján ; Smékal, Zdeněk (referee) ; Galáž, Zoltán (advisor)
Diploma thesis is focused on the acoustic analysis of poetry recitation in patients with Parkinson's disease. This disease is associated with speech disorder called hypokinetic dysarthria. One objective of this thesis was familiarization with process, symptoms and treatment of these diseases. In thesis is described preprocessing and parametrization of the speech signal and the binary classification methods. Subsequently, it is the above proposal modular system of auto-diagnosis of Parkinson's disease based on acoustic analysis of the speech. The proposed system is implemented in MATLAB. Classification of calculated parameters is realized using the method of Random forest and Support vector machine. The results of these methods are compared and listed in the thesis. The main objective and the result of this thesis is a system of automatic diagnosis of Parkinson's disease based on acoustic analysis of the poem recitation.
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Research of speech features quantifying diadochokinetic (DDK) tasks
Kukučka, Peter ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
Speech processing methods were studied to calculate parameters of pacient with Parkinon's disease. Main focus of this work is to examine diadochokinetic (DDK) tests. Algorithm for parameters extraction was proposed. It works in more parts. DC is removed from speech signal, preemphasis aplicated. Envelope of input signal is calculated, peaks of syllables are detected. Parameters and statistical results of Mann-Whitney U~test are calculated from detected peaks. Proposed algorithm is implemented in Matlab.
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State of the art speech features used during the Parkinson disease diagnosis
Bílý, Ondřej ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
This work deals with the diagnosis of Parkinson's disease by analyzing the speech signal. At the beginning of this work there is described speech signal production. The following is a description of the speech signal analysis, its preparation and subsequent feature extraction. Next there is described Parkinson's disease and change of the speech signal by this disability. The following describes the symptoms, which are used for the diagnosis of Parkinson's disease (FCR, VSA, VOT, etc.). Another part of the work deals with the selection and reduction symptoms using the learning algorithms (SVM, ANN, k-NN) and their subsequent evaluation. In the last part of the thesis is described a program to count symptoms. Further is described selection and the end evaluated all the result.
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