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1.
Journal of Biomedical Engineering ; (6): 110-117, 2023.
Article in Chinese | WPRIM | ID: wpr-970680

ABSTRACT

The extraction of neuroimaging features of migraine patients and the design of identification models are of great significance for the auxiliary diagnosis of related diseases. Compared with the commonly used image features, this study directly uses time-series signals to characterize the functional state of the brain in migraine patients and healthy controls, which can effectively utilize the temporal information and reduce the computational effort of classification model training. Firstly, Group Independent Component Analysis and Dictionary Learning were used to segment different brain areas for small-sample groups and then the regional average time-series signals were extracted. Next, the extracted time series were divided equally into multiple subseries to expand the model input sample. Finally, the time series were modeled using a bi-directional long-short term memory network to learn the pre-and-post temporal information within each time series to characterize the periodic brain state changes to improve the diagnostic accuracy of migraine. The results showed that the classification accuracy of migraine patients and healthy controls was 96.94%, the area under the curve was 0.98, and the computation time was relatively shorter. The experiments indicate that the method in this paper has strong applicability, and the combination of time-series feature extraction and bi-directional long-short term memory network model can be better used for the classification and diagnosis of migraine. This work provides a new idea for the lightweight diagnostic model based on small-sample neuroimaging data, and contributes to the exploration of the neural discrimination mechanism of related diseases.


Subject(s)
Humans , Time Factors , Migraine Disorders/diagnostic imaging , Magnetic Resonance Imaging , Brain/diagnostic imaging , Neuroimaging
2.
Acta sci., Health sci ; 39(1): 1-7, jan.-jun. 2017.
Article in English | LILACS | ID: biblio-837153

ABSTRACT

A non-linear mixed-effects model is proposed to assess the impact of acarbose over time on postprandial glycaemia in a single rat. The model is based on two compartments, one representing the entry of glucose in the blood and the other its exit. The rat was submitted to two treatments: ingestion of starch and ingestion of starch plus acarbose. The model showed great suitability, with inferences on the behavior of glucose levels in response to treatments and supplying a richer description than just the area under the curve. The marginal curves for the two treatments are similar during the first moments; however, after reaching the peak of glucose concentration, they progressively became separate due to acarbose treatment and reached the initial levels more quickly. The proposed model, albeit with a single sample unit, showed similar results to those with larger samples; in other words, acarbose significantly attenuates glycaemia after ingestion of starch.


Neste estudo, foi proposto um modelo não linear de efeitos mistos para verificar o impacto da acarbose ao longo do tempo na glicemia pós -prandial de um único rato. Adotou-se um modelo de dois compartimentos: um representando a entrada de glicose no sangue e outro, a saída. O rato foi submetido a dois tratamentos: ingestão de amido e de amido com adição de acarbose. O modelo proposto apresentou um ótimo ajuste, permitindo fazer inferências do comportamento da glicose para os tratamentos e fornecendo uma descrição muito mais rica do que simplesmente a área sob a curva. As curvas marginais para os dois tratamentos foram semelhantes nos primeiros tempos observados, porém, após o pico de concentração de glicose, elas se distanciaram progressivamente com o tratamento da acarbose atingindo os níveis iniciais mais rapidamente. O modelo adotado, com uma única unidade amostral, mostrou resultados similares a outros estudos com maior número de unidades amostrais, isto é, a acarbose pode atenuar consideravelmente a glicemia após ingestão de amido.


Subject(s)
Rats , Acarbose , Diabetes Mellitus , Glucose
3.
Chinese Journal of Information on Traditional Chinese Medicine ; (12): 24-26, 2015.
Article in Chinese | WPRIM | ID: wpr-462076

ABSTRACT

Objective To test the degree of acceptance and understanding of the entries for patient reported outcomes of stagnation of qi and blood;To further optimize and modify the entries. Methods A small sample pre-survey and group interviews were used to get the feedback information abut entries of patients, then the panel discussed to modify entries according to the data information. Results After a small sample pre-survey and group interviews, 11 items for modification were obtained, including the rejection in physical pain, belching and so on. Through further optimization and modification, the entries for patient reported outcomes of stagnation of qi and blood covered 41 entries in physiological domain, 11 entries in psychological domain, 1 entry in independent domain, and 8 entries in social domain. Conclusion The core part of the entries for patient reported outcomes of stagnation of qi and blood was formed, which comprehensively reflects the connotation of stagnation syndrome of qi and blood.

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