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Dive into the research topics where Martin Vališ is active.

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Featured researches published by Martin Vališ.


BMC Psychiatry | 2011

Markers of thrombogenesis are activated in unmedicated patients with acute psychosis: a matched case control study.

Jiří Masopust; Radovan Malý; Ctirad Andrýs; Martin Vališ; Jan Bažant; Ladislav Hosák

BackgroundAntipsychotic treatment has been repeatedly found to be associated with an increased risk for venous thromboembolism in schizophrenia. The extent to which the propensity for venous thromboembolism is linked to antipsychotic medication alone or psychosis itself is unclear. The objective of this study was to determine whether markers of thrombogenesis are increased in psychotic patients who have not yet been treated with antipsychotic medication.MethodsWe investigated the plasma levels of markers indicating activation of coagulation (D-dimers and Factor VIII) and platelets (soluble P-selectin, sP-selectin) in an antipsychotic-naive group of fourteen men and eleven women with acute psychosis (age 29.1 ± 8.3 years, body mass index 23.6 ± 4.7), and twenty-five healthy volunteers were matched for age, gender and body mass index.ResultsD-dimers (median 0.38 versus 0.19 mg/l, mean 1.12 ± 2.38 versus 0.28 ± 0.3 mg/l; P = 0.003) and sP-selectin (median 204.1 versus 112.4 ng/ml, mean 209.9 ± 124 versus 124.1 ± 32; P = 0.0005) plasma levels were significantly increased in the group of patients with acute psychosis as compared with healthy volunteers. We found a trend (median 148% versus 110%, mean 160 ± 72.5 versus 123 ± 62.5; P = 0.062) of increased plasma levels of factor VIII in psychotic patients as compared with healthy volunteers.ConclusionsThe results suggest that at least a part of venous thromboembolic events in patients with acute psychosis may be induced by pathogenic mechanisms related to psychosis rather than by antipsychotic treatment. Finding an exact cause for venous thromboembolism in psychotic patients is necessary for its effective treatment and prevention.


Clinical Interventions in Aging | 2015

Alzheimer's disease and language impairments: social intervention and medical treatment

Blanka Klimova; Petra Maresova; Martin Vališ; Jakub Hort; Kamil Kuca

Communication is very important for people to be successfully integrated into social environment and make and maintain relationship. Particularly, language difficulties lead to social exclusion of the people affected with Alzheimer’s disease (AD) and contribute to a significant decrease in the quality of their life and also have a big impact on their family members who in most cases become their caregivers who need to communicate with their loved ones in order to meet their needs. Therefore, the goal of this study is to describe language impairments in the individual phases of AD and discuss their improvement with respect to AD on the basis of literature review. The authors of this article use traditional research methods in order to achieve the goal set mentioned earlier. First, a method of literature review of available sources describing language impairments in the individual phases of AD is exploited. Second, to show how informal caregivers and relevant drugs can successfully intervene in the improvement of these language impairments, a method of comparison of different research studies exploring such social intervention and medical treatment is used.


Sensors | 2016

Microsoft Kinect Visual and Depth Sensors for Breathing and Heart Rate Analysis

Aleš Procházka; Martin Schätz; Oldřich Vyšata; Martin Vališ

This paper is devoted to a new method of using Microsoft (MS) Kinect sensors for non-contact monitoring of breathing and heart rate estimation to detect possible medical and neurological disorders. Video sequences of facial features and thorax movements are recorded by MS Kinect image, depth and infrared sensors to enable their time analysis in selected regions of interest. The proposed methodology includes the use of computational methods and functional transforms for data selection, as well as their denoising, spectral analysis and visualization, in order to determine specific biomedical features. The results that were obtained verify the correspondence between the evaluation of the breathing frequency that was obtained from the image and infrared data of the mouth area and from the thorax movement that was recorded by the depth sensor. Spectral analysis of the time evolution of the mouth area video frames was also used for heart rate estimation. Results estimated from the image and infrared data of the mouth area were compared with those obtained by contact measurements by Garmin sensors (www.garmin.com). The study proves that simple image and depth sensors can be used to efficiently record biomedical multidimensional data with sufficient accuracy to detect selected biomedical features using specific methods of computational intelligence. The achieved accuracy for non-contact detection of breathing rate was 0.26% and the accuracy of heart rate estimation was 1.47% for the infrared sensor. The following results show how video frames with depth data can be used to differentiate different kinds of breathing. The proposed method enables us to obtain and analyse data for diagnostic purposes in the home environment or during physical activities, enabling efficient human–machine interaction.


Psychiatry and Clinical Neurosciences | 2012

Risk of venous thromboembolism during treatment with antipsychotic agents

Jiří Masopust; Radovan Malý; Martin Vališ

The evidence to date on the relation between the risk of venous thromboembolic disease (VTE) and antipsychotic agents derives primarily from observational and case history studies. While an increased risk of VTE has been associated with first‐generation low‐potency antipsychotic agents, particularly clozapine, there appears to be a growing number of reports on the occurrence of this adverse reaction during the use of second‐generation antipsychotics, such as risperidone and olanzapine. The highest risk of pathological blood clotting emerges during the first 3 months after initiation of treatment with the product. Potential etiopathogenetic factors leading to VTE during treatment with antipsychotic agents include sedation, obesity, elevation of antiphospholipid antibodies, increased platelet activation and aggregation, hyperhomocysteinemia, and hyperprolactinemia. Diagnoses of schizophrenia and/or bipolar affective disorder, as well as hospitalization or stress with sympathetic activation and elevation of catecholamine levels, have been reported as known prothrombogenic factors. The present article contains the new version of the guideline for the prevention of VTE in psychiatric patients with limited mobility. Further prospective studies are necessary to elucidate the biological mechanisms of the relations between antipsychotic agents and VTE.


Digital Signal Processing | 2015

Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect

Aleš Procházka; Oldřich Vyšata; Martin Vališ; Ondřej Tupa; Martin Schätz; Vladimír Mařík

This paper presents a novel method of Bayesian gait recognition using Microsoft (MS) Kinect image and depth sensors and skeleton tracking in three-dimensional space. Although video sequences acquired by a complex camera system enable a very precise data analysis, it is possible to use much simpler technical devices to analyze video frames with sufficient accuracy for many applications. The use of the MS Kinect allows a simple 3-D modeling using its image and depth sensors for data acquisition, resulting in a matrix of 640 × 480 elements used for spatial modeling of a moving body. The experimental part of the paper is devoted to the study of three data sets: (i) 18 individuals with Parkinsons disease, (ii) 18 healthy age-matched controls, and (iii) 15 trained young individuals forming the second reference set. The proposed algorithm involves methods for the estimation of the average stride length and gait speed of individuals in these sets. Digital signal processing methods and Bayesian probability classification algorithms are then used for gait feature analysis to recognize individuals suspected of having Parkinsons disease. The results include the estimation of the characteristics of selected gait features for patients with Parkinsons disease and for individuals from the reference sets, presentation of decision boundaries, and comparison of classification efficiency for different features. The achieved accuracy of the probabilistic classification was 94.1%.


Neuropsychiatric Disease and Treatment | 2015

Anti-NMDA receptor antibodies in patients with a first episode of schizophrenia

Jiří Masopust; Ctirad Andrýs; Jan Bažant; Oldřich Vyšata; Kamil Kuca; Martin Vališ

Background Encephalitis with antibodies against N-methyl-D-aspartate receptor (NMDA-R) is classified as an autoimmune disorder with psychotic symptoms, which are frequently dominant. However, it remains unclear how frequently NMDA-R antibodies lead to a condition that mimics psychosis and first-episode schizophrenia. In our work, we investigated the presence of antibodies against NMDA-R in patients with first-episode psychosis (FEP) in comparison with healthy volunteers. Methods This study included 50 antipsychotic-naïve patients with FEP (including 21 women) and 50 healthy volunteers (including 21 women). The mean age of the patients was 27.4 (±7.4) years and that of the healthy controls was 27.0 (±7.3) years. Antibodies against NMDA-R in the serum were detected by immunofluorescence. Results None of the investigated patients with an FEP and none of the healthy controls showed positive antibodies against NMDA-Rs. Conclusion According to results of studies, a small proportion of patients with an FEP possess antibodies against NMDA-R. However, the extent to which this finding contributes to the etiopathogenesis of the response to antipsychotic medication and whether immunomodulatory therapy is indicated in these cases remains uncertain.


Neuropsychiatric Disease and Treatment | 2015

Alzheimer’s disease and its treatment costs: case study in the Czech Republic

Hana Mohelska; Petra Maresova; Martin Vališ; Kamil Kuca

This paper deals with the analysis of the costs, applied, for example, when treating specific diseases – an important aid in prioritizing the process of resource allocation. In our review, the specific disease is dementia caused by Alzheimer’s disease. This paper aims to provide more information on the partial costs per patient that are calculated according to the aggregated data from publicly available sources as well as from the results of authors’ own investigation. The University Hospital in Hradec Králové and the General Health Insurance Company of the Czech Republic participated in this research. The elementary research objective was to compare the costs per patient diagnosed early onset, to those of the patient diagnosed later. The Czech Republic lacks information regarding dementia. Therefore, these issues require attention. The methods used in this paper included time series analyses, methods of direct questioning, interviews with experts, and analyses of medical documentation. These methods were combined to exploit their particular advantages and to ensure the issues discussed, were covered. The investigation showed that the underpinning of patients with Alzheimer’s disease at early onset is advantageous from an economic perspective, because the cost of outpatient care is much lower compared with that of inpatient care. The international comparisons of the volume of care provided should be approached with great caution. These are based solely on the facts of various expert estimates and are not usually supported by hard data. Yet, they still illustrate the overall view of our ability to take care of people with dementia. According to experts, care in the Czech Republic significantly lags behind the rest of developed Europe. While services are provided to 26% of people with dementia in Germany and 50% in France, the experts estimate that services are provided to only 10% of the population in the Czech Republic. If we were to offer a similar volume of services in the Czech Republic, to the same extent as the average in Europe, we would have to triple the existing capacities.


Clinical Eeg and Neuroscience | 2014

Change in the Characteristics of EEG Color Noise in Alzheimer’s Disease

Oldřich Vyšata; Aleš Procházka; Jan Mareš; Robert Rusina; Ladislav Pazdera; Martin Vališ; Jaromir Kukal

Neurophysiological experiments support the hypothesis of the presence of critical dynamics of brain activity. This is also manifested by power law of electroencephalography (EEG) power spectra, which can be described by the relation 1/fα. This dependence is a result of internal interactions between parts of the brain and is probably required for optimal processing of information. In Alzheimer’s disease, changes in the functional organization of the brain occur, which may be manifested by changes in the α coefficient. We compared the average values of α for 19 electrodes in the resting EEG record in 110 patients with moderate to severe Alzheimer’s disease (Mini-Mental State Examination [MMSE] score = 10-19) with 110 healthy controls. Statistically, the most significant differences are present in the prefrontal areas. In addition to the prefrontal and frontal areas, the largest separation value in the evaluation of receiver operating characteristic (ROC) curves was recorded in the temporal area. The coefficient alpha has few false-positive results in the optimal operating point of the ROC curve, and is thereby highly specific for Alzheimer’s disease.


The Cerebellum | 2011

An Electrophysiological Study of Visual Processing in Spinocerebellar Ataxia Type 2 (SCA2)

Jan Kremlacek; Martin Vališ; Jiri Masopust; Aleš Urban; Alena Zumrova; Radomír Taláb; Miroslav Kuba; Zuzana Kubová; J. Langrová

Reports of visual functional impairment in spinocerebellar ataxia type 2 (SCA2) have been studied previously using pattern reversal visually evoked potentials (VEPs) with contradictory results. To provide additional evidence to this area, visual functions were studied using VEPs and event-related potentials (ERPs) in a group of ten patients with genetically verified SCA2. The electrophysiological examination included pattern reversal and motion-onset VEPs as well as visually driven oddball ERPs with an evaluation of a target and a pre-attentive response. In six patients, we found abnormal visual/cognitive processing that differed from normal values in latency, but not in the amplitude of the dominant VEP/ERP peaks. Among the VEPs/ERPs used, the motion-onset VEPs exhibited the highest sensitivity and showed a strong Spearman correlation to SCA2 duration (from r = 0.82 to r = 0.90, p < 0.001) and clinical state assessed by Brief Ataxia Rating Scale (from r = 0.71 (p = 0.022) to r = 0.80 (p < 0.001)). None of the VEP/ERP latencies showed a correlation to the triplet repeats of the SCA2 gene. In three patients, we did not find any visual/cognitive pathology, and one subject showed only a single subtle prolongation of the VEP peak. The observed visual/cognitive deficit was related to the subjects’ clinical state and the illness duration, but no relationship to the genetic marker of SCA2 was found. From the VEP/ERP types used, the motion-onset VEPs seems to be the most promising candidate for clinical state monitoring rather than a tool for early diagnostic use.


Journal of Medical Case Reports | 2014

Common yew intoxication: a case report

Martin Vališ; Jaromír Kočí; David Tuček; Tomas Lutonský; Jana Kopová; Petr Bartoń; Oldřich Vyšata; Dagmar Krajíčková; Jan Korábečný; Jiří Masopust; Ludovít Klzo

IntroductionTaxine alkaloids cause fatal poisoning, in particular due to the compound’s toxic effect on the cardiovascular apparatus.Case presentationWe describe the case of a 39-year-old Caucasian man with common yew intoxication for whom cardiopulmonary resuscitation using all available methods, although delayed and extended, was successful.ConclusionsExtended and delayed cardiopulmonary resuscitation can be used successfully to treat common yew intoxication.

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Oldřich Vyšata

Charles University in Prague

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Aleš Procházka

Institute of Chemical Technology in Prague

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Kamil Kuca

University of Hradec Králové

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Jiří Masopust

Charles University in Prague

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Blanka Klimova

University of Hradec Králové

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Dagmar Krajíčková

Charles University in Prague

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Roman Herzig

Charles University in Prague

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Zbyšek Pavelek

Charles University in Prague

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Antonín Krajina

Charles University in Prague

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Jakub Hort

Charles University in Prague

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