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1.
Article in Chinese | WPRIM | ID: wpr-981572

ABSTRACT

As one of the standard electrophysiological signals in the human body, the photoplethysmography contains detailed information about the blood microcirculation and has been commonly used in various medical scenarios, where the accurate detection of the pulse waveform and quantification of its morphological characteristics are essential steps. In this paper, a modular pulse wave preprocessing and analysis system is developed based on the principles of design patterns. The system designs each part of the preprocessing and analysis process as independent functional modules to be compatible and reusable. In addition, the detection process of the pulse waveform is improved, and a new waveform detection algorithm composed of screening-checking-deciding is proposed. It is verified that the algorithm has a practical design for each module, high accuracy of waveform recognition and high anti-interference capability. The modular pulse wave preprocessing and analysis software system developed in this paper can meet the individual preprocessing requirements for various pulse wave application studies under different platforms. The proposed novel algorithm with high accuracy also provides a new idea for the pulse wave analysis process.


Subject(s)
Humans , Systems Analysis , Algorithms , Software , Heart Rate , Microcirculation
2.
Article in Chinese | WPRIM | ID: wpr-979187

ABSTRACT

Background Excessive intake of sugar-sweetened beverages (SSBs) is harmful to health. In recent decades, the consumption of SSBs by Chinese residents has increased rapidly, increasing the risk of death and burden of disease. Objective To analyze the knowledge level and influencing factors of SSBs for Chinese residents aged 18-64 years in 2021. Methods A multi-stage cluster random sampling approach was used to conduct a questionnaire survey among residents aged 18-64 years in 302 survey sites across the country in 2021, and 98567 valid questionnaires were obtained. Four questions are about SSBs among the questionnaire's 5 dimensions. Respondents who answered 3 or more questions correctly were considered to have a basic understanding of SSBs. Frequency and weighted proportion were used for description. With individual as level 1 and resident council (village council) as level 2, a two-level logistic regression model was applied to examine the influencing factors. A null model was used to determine whether the two-level logistic regression model was appropriate. Results The knowledge awareness rate of SSBs was 57.0% among the Chinese residents aged 18-64 years in 2021. The knowledge point with the lowest correct rate was "It is best to consume no more than 25 grams of added sugar per day" (22.6%), while the one with the highest correct rate was "Excessive intake of SSBs can increase the risk of obesity and diabetes" (81.1%). The results of the null model showed that SSBs knowledge level had a clustering effect at resident council (village council) level (t=25.00, P<0.0001), so a two-level model fit better than a one-level model. The results of the two-level logistic model revealed that residents who were female (OR=1.14, 95%CI: 1.11, 1.18) or working in medical and health (OR=1.36, 95%CI: 1.27, 1.45) and education institutions (OR=1.16, 95%CI: 1.07, 1.24) had a higher knowledge level compared to males or residents of other occupations. The knowledge level was lower among residents in central (OR=0.87, 95%CI: 0.77, 0.97) and western (OR=0.85, 95%CI: 0.75, 0.94) areas than in eastern areas. Those with chronic diseases (OR=0.81, 95%CI: 0.78, 0.84) and who did not know if they had a chronic disease (OR=0.75, 95%CI: 0.72, 0.78) had a lower knowledge level than those without chronic diseases. Compared with 18-24 years, the knowledge level was higher in ages 35-44 years (OR=1.07, 95%CI: 1.02, 1.12) and lower in ages 55-64 years (OR=0.92, 95%CI: 0.86, 0.97), and not different from the ages 25-34 years and 45-54 years. The knowledge level increased with the level of education, the trend was statistically significant (P<0.001). Conclusion Only about half of Chinese adults aged 18-64 years had a basic understanding of SSBs in 2021. The awareness rate of added sugar intake was low in particular. The knowledge levels of male, central and western, or less educated populations were even lower. Awareness of the negative health outcomes of SSBs was high among the population.

3.
Article in Chinese | WPRIM | ID: wpr-781846

ABSTRACT

The clinical manifestations of patients with schizophrenia and patients with depression not only have a certain similarity, but also change with the patient's mood, and thus lead to misdiagnosis in clinical diagnosis. Electroencephalogram (EEG) analysis provides an important reference and objective basis for accurate differentiation and diagnosis between patients with schizophrenia and patients with depression. In order to solve the problem of misdiagnosis between patients with schizophrenia and patients with depression, and to improve the accuracy of the classification and diagnosis of these two diseases, in this study we extracted the resting-state EEG features from 100 patients with depression and 100 patients with schizophrenia, including information entropy, sample entropy and approximate entropy, statistical properties feature and relative power spectral density (rPSD) of each EEG rhythm (δ, θ, α, β). Then feature vectors were formed to classify these two types of patients using the support vector machine (SVM) and the naive Bayes (NB) classifier. Experimental results indicate that: ① The rPSD feature vector performs the best in classification, achieving an average accuracy of 84.2% and a highest accuracy of 86.3%; ② The accuracy of SVM is obviously better than that of NB; ③ For the rPSD of each rhythm, the β rhythm performs the best with the highest accuracy of 76%; ④ Electrodes with large feature weight are mainly concentrated in the frontal lobe and parietal lobe. The results of this study indicate that the rPSD feature vector in conjunction with SVM can effectively distinguish depression and schizophrenia, and can also play an auxiliary role in the relevant clinical diagnosis.


Subject(s)
Humans , Bayes Theorem , Depression , Electroencephalography , Schizophrenia , Signal Processing, Computer-Assisted , Support Vector Machine
4.
Article in Chinese | WPRIM | ID: wpr-601602

ABSTRACT

Objective To explore whether Cdc42 is an independent influence factor in regulating the migration of A549 cells by using quantitative measurement method,and to verify the effectiveness of an automatic measurement and calculation method for in vitro cell migration assay.Methods Cdc42 was overexpressed in human lung adenocarcinoma A549 cell line,and then in vitro scratch assay was applied to evaluate the migration of the cells.Different methods were used to measure the images acquired at different time points for quantitative analysis.Accuracy and repeatability of different measurement methods were analyzed.Results The results showed that overexpression of Cdc42 alone significantly advanced the migration of A549 cells (P<0.05).The new method is efficient,accurate and reproducible as compared to manual measurement,and has significant advantages in target recognition and noise removal as compared to the existing measurement method in Image Pro Plus 6.0.Conclusions Over expression of Cdc42 significantly increased A549 cell migration ability in vitro.The new method can realize the automatic quantitative analysis of cell migration in vitro.

5.
Article in Chinese | WPRIM | ID: wpr-440751

ABSTRACT

Objective:To establish the cisplatin-resistant human lung adenocarcinoma cell line A549/(DDP) cisplatin and to study the relationship between EHD2 and drug resistance. Methods:DDP-resistant human lung cancer cell line A549/DDP was established by gradual and stepwise dose enhancement. MTT was used to measure drug sensitivity. Western blot and immunofluorescence were used to evaluate expression and subcellular localization of EHD2 and breast cancer resistance protein (BCRP). Results:The DDP-resistant cell line A549/DDP was established, with a resistance index of 7.6. EHD2 and BCRP expressions both increased and were enriched on the cell surface membrane. Conclusion:Both EHD2 and BCRP expressions were enriched on the resistant cell surface membrane, suggesting that EHD2 endocytic protein stabilizes BCRP and is involved in drug resistance.

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