ABSTRACT
Objective: To observe the differences of dynamic connectivity in motor function networks between meningioma and low-grade glioma. Methods: Totally 14 patients with meningioma (meningioma group), 14 patients with low grade gliomas (gliomas group) and 14 healthy controls (control group) were enrolled. The wavelet transform coherence (WTC) was used to analyze the dynamic connectivity in motor function networks of 3 groups. Results: The motor function networks nodes were determined by hands movement task stimulus and the generalized linear model analysis, which located at the left and right side of the primary motor cortex (LPMC and RPMC) and the supplementary motor area (SMA). The values of WTC in LPMC-SMA, RPMC-SMA and LPMC-RPMC in meningioma group and gliomas group were lower than those in control group, and in gliomas group were lower than those in meningioma group (all P<0.05). Conclusion: Low frequency fluctuation alteration of connectivity in motor function networks in patients with meningioma and low grade gliomas can be sensitively detected using WTC.
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Whether habit stimulation is effective in DOC patient arousal has not been reported. In this paper, we analyzed the responses of DOC patients to habit stimulation. Nineteen DOC patients with alcohol consumption or smoking habits were recruited and 64-channel EEG signals were acquired both at the resting state and at three stimulation states. Wavelet transformation and nonlinear dynamics were used to extract the features of EEG signals and four brain lobes were selected to investigate the degree of EEG response to habit stimulation. Results showed that the highest degree of EEG response was from the call-name stimulation, followed by habit and music stimulations. Significant differences in EEG wavelet energy and response coefficient were found both between habit and music stimulation, and between habit and call-name stimulation. These findings prove that habit stimulation induces relatively more intense EEG responses in DOC patients than music stimulation, suggesting that it may be a relevant additional method for eliciting patient arousal.
Subject(s)
Adult , Female , Humans , Male , Middle Aged , Alcohol Drinking , Brain , Consciousness Disorders , Therapeutics , Electroencephalography , Habits , Music , Names , Nonlinear Dynamics , Physical Stimulation , Rest , Smoking , Speech , Treatment Outcome , Wavelet AnalysisABSTRACT
Objective: To fuse many non-homologous medical images based on wavelet transformation, and integrate and stand out complementation information, and strengthen image quality, and reduce redundancy so as to enhance the precision of clinically auxiliary diagnosis and treatment for medical image. Methods: Through studied and researched the relevant knowledge of wavelet theory in the application of image fusion to proposed a improved fusion algorithm by mutual combination for maximum low frequency energy and maximum high frequency variance. The fusion experiment of non-homologous standard medical image, including CT, MRI and multi-focus images, were implemented, and their data were compared. And then, the performance of image fusion was compared and analyzed under different fusion rule and different fusion method. Results: In the two kinds of contrastive analysis experiments, the fusion image which depended on algorithm included more abundantly effective information amount of source image, and the luminance of image was reasonable enhanced. Besides, the mean value, mutual information and information entropy of fusion image were optimal. Conclusion: The fusion image which comes from multimoding medical image algorithm has better visual effects and quantization indicator, and it has strengthener fused performance. Therefore, it can reflect the effectiveness of the method.
ABSTRACT
O objetivo deste estudo foi avaliar os efeitos do Método Pilates sobre a variabilidade da frequência cardíaca, na flexibilidade e nas variáveis antropométricas em indivíduos sedentários. O presente estudo contou com 14 voluntárias do sexo feminino, na faixa etária entre 40 e 55 anos, que realizaram 20 sessões de exercícios do Método Pilates, duas vezes por semana, com duração de 45 minutos cada sessão, dividida em três fases: repouso, exercício e recuperação. As variáveis estudadas foram: os dados antropométricos, flexibilidade avaliada utilizando o teste de sentar-e-alcançar com o Banco de Wells, e intervalos R-R usando um cardiotacômetro. O processamento dos sinais da frequência cardíaca foi efetuado em ambiente MatLab 6.1®, utilizando a TWC. Os dados coletados foram submetidos ao teste de normalidade de Shapiro Wilk e foi utilizado o teste de Wilcoxon e Anova One Way (α = 0,05). Nos resultados, observou-se que não houve diferenças significativas entre os valores antropométricos e de frequência cardíaca, porém houve aumento da flexibilidade com o treinamento. Comparando a primeira e a Artigo original vigésima sessão com relação aos parâmetros low frequency (LF), high frequency (HF), e relação LF/HF, não houve diferença na fase de repouso e foram constatadas diferenças significativas de LF (p = 0,04) e HF (p = 0,04) na fase de exercício e diferença significativa de LF/ HF (p = 0,05) na fase de recuperação. Comparando os parâmetros nos períodos de repouso, exercícios e recuperação durante a primeira sessão e durante a vigésima sessão, não houve diferença significativa nos parâmetros LF, HF e LF/HF. Pode-se concluir que, em relação à flexibilidade, foi observada uma melhora significativa, enquanto a análise da frequência cardíaca caracterizou a intensidade do exercício de 50% da capacidade funcional das voluntárias. Em relação aos parâmetros LF, HF e LF/HF foram observados um aumento da variabilidade da frequência cardíaca, provavelmente produto da atividade do Método Pilates. A Transformada Wavelet (TWC) mostrou-se um Método adequado para as análises da variabilidade da frequência cardíaca. (AU)
The aim of this study was to evaluate the effects of the Pilates method on cardiovascular system through heart rate analysis with Continuous Wavelet Transformation (CWT). In the present study, 14 women, 40 to 55 years old, performed 20 sets of Pilates method exercises twice a week with duration of 45 minutes each set divided in three phases: rest, exercise and recovery. The studied variables were anthropometric data, flexibility which was evaluated using the sit-and-reach test (bench of wells), heart frequency which was monitored through a model s810i (Polar) cardiotachometer and the RR intervals were stored. The signals processing of the FC was computed in MatLab 6.1® environment, utilizing the CWT. The collected data were analyzed using Shapiro Wilk normality test and Wilcoxon and Anova One Way (α = 0.05) tests to compare the parameters. There were no significant differences between anthropometric values and heart rate; however there was an increase in flexibility. Comparing the parameters during the phases rest, exercise and recovery in the first and later in the last session, it was not observed statistically significant changes in heart frequency. Regarding to low frequency (LF), high frequency (HF) and LF/HF parameters, there was no significant difference. Significant differences of LF (p = 0.04) and HF (p = 0.04) were reported in exercise phase and significant difference (p = 0.05) in recovery phase. There was no significant difference in LF, HF and LF/HF parameters in the resting periods, exercises and recovery in the first and twentieth set. In relation to flexibility, a significant improvement was observed, while the heart rate analysis characterized the intensity of the exercise of fifty per cent of the functional capacity of the subjects. In relation to LF, HF and LF/HF parameters, a VFC increase was reported, result of Pilates method activity. The CWT showed itself an adequate method for the heart rate frequency analysis. (AU)
Subject(s)
Humans , Female , Middle Aged , Exercise Movement Techniques , Heart Rate , Wavelet Analysis , Anthropometry , Sedentary BehaviorABSTRACT
Medical imaging plays an important role in modern medical diagnosis. Wavelet transformation is widely applied in medical imaging processing, including the fields of edge-detection, noise-reducing, image-enhancement, image-compression and image-integration. The theories and application of Wavelet transformation were systematically reviewed in this paper.