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1.
Journal of Biomedical Engineering ; (6): 358-364, 2023.
Article in Chinese | WPRIM | ID: wpr-981550

ABSTRACT

The development and potential application of brain-computer interface (BCI) technology is closely related to the human brain, so that the ethical regulation of BCI has become an important issue attracting the consideration of society. Existing literatures have discussed the ethical norms of BCI technology from the perspectives of non-BCI developers and scientific ethics, while few discussions have been launched from the perspective of BCI developers. Therefore, there is a great need to study and discuss the ethical norms of BCI technology from the perspective of BCI developers. In this paper, we present the user-centered and non-harmful BCI technology ethics, and then discuss and look forward on them. This paper argues that human beings can cope with the ethical issues arising from BCI technology, and as BCI technology develops, its ethical norms will be improved continuously. It is expected that this paper can provide thoughts and references for the formulation of ethical norms related to BCI technology.


Subject(s)
Humans , Brain-Computer Interfaces , Technology , Brain , User-Computer Interface , Electroencephalography
2.
Chinese Journal of Geriatrics ; (12): 373-378, 2022.
Article in Chinese | WPRIM | ID: wpr-933088

ABSTRACT

Sarcopenia is becoming one of the challenges that is associated with worse quality of life and death.Accurate evaluation of skeletal muscle quantity and quality is the most important for the screening and diagnosing sarcopenia.Compared with other imaging evaluation methods, ultrasound examination is a portable, no-ionizing radiation and inexpensive technique, and especially has a high repeatability.After a comprehensive overview of the imaging tests assessing skeletal muscle, this review summarized ultrasound examination requirements for assessing skeletal muscle, measurement parameters, and future perspectives.

3.
Chinese Journal of Medical Instrumentation ; (6): 162-164, 2019.
Article in Chinese | WPRIM | ID: wpr-772537

ABSTRACT

The existing fetal monitor is prone to false detection in the case of high maternal interference in the second stage of labor. With this background, the article designs and implements a combined maternal-fetal fetal heart monitoring system. The system obtains the Doppler signal of the abdominal fetal heart and the blood oxygen signal of the mother's finger, and estimates the maternal interference degree in the fetal heart rate Doppler signal according to the maximum correlation value between the maternal finger blood oxygen signal and the abdominal fetal heart Doppler signal, and switches the fetal heart rate extraction algorithm between the autocorrelation method suitable for lower interference and improved template method suitable for higher interference according to the maternal interference degree. The accuracy of our method is 9.2% which is higher than that of the improved template matching method and 6.1% higher than that of the autocorrelation method.


Subject(s)
Female , Humans , Pregnancy , Algorithms , Electrocardiography , Fetal Monitoring , Fetus , Heart Rate , Heart Rate, Fetal , Signal Processing, Computer-Assisted
4.
Journal of Biomedical Engineering ; (6): 557-564, 2019.
Article in Chinese | WPRIM | ID: wpr-774171

ABSTRACT

The ultrasound Doppler fetal heart rate measurement is the gold standard of fetal heart rate counting. However, the existing fetal heart rate extraction algorithms are not designed specifically to suppress the high maternal interference during the second stage of labor, and false detection occurrences are common during labor. With this background, a method combining time-frequency frame template library optimal selecting and non-linear template matching is proposed. The method contributes a template library, and the optimal template can be selected to match the signal frame. After the short-time Fourier transform of the signal, the difference between the signal and the template is optimized by leaky rectified linear unit (LReLU) function frame by frame. The heart rate was calculated from the peak of the matching curve and the heart rate was calculated. By comparing the proposed method with the autocorrelation method, the results show that the detection accuracy of the proposed method is improved by 20% on average, and the non-linear template matching of 23% samples is at least 50% higher than the autocorrelation method. This paper designs the algorithm by analyzing the characteristics of the interference and signal mixing. We hope that this paper will provide a new idea for fetal heart rate extraction which not only focuses on the original signal.


Subject(s)
Female , Humans , Pregnancy , Algorithms , Fetal Monitoring , Fourier Analysis , Heart Rate, Fetal , Signal Processing, Computer-Assisted , Ultrasonography, Doppler
5.
Chinese Journal of Stomatology ; (12): 212-216, 2018.
Article in Chinese | WPRIM | ID: wpr-806172

ABSTRACT

Gingival aesthetics is one of the factors that affect the clinical effects of prosthesis, and is particularly important in the aesthetic restoration of anterior teeth. However, gingival aesthetics involves a number of parameters for which there is no standardized evaluating criteria available so far. In addition to implant, other methods of restoration still lack recognized aesthetic evaluation systems for clinical use. At present, there are lots of solutions to improve anterior gingival esthetics, and most of the solutions can effectively improve the aesthetic effect in clinical treatment. This article reviews the aesthetics criteria of the anterior gingival area and the aesthetics restoration methods.

6.
Chinese Journal of Medical Instrumentation ; (6): 413-417, 2010.
Article in Chinese | WPRIM | ID: wpr-330548

ABSTRACT

A method is presented in this paper which processes the human chest CT image with binary morphology theory, then marks and searches each connected domain to find chest contour and boundaries of lung and esophagus. Comparing with original CT image, the extracted boundaries have sufficient accuracy and human eyes cannot distinguish the error.


Subject(s)
Humans , Algorithms , Image Processing, Computer-Assisted , Lung , Diagnostic Imaging , Pattern Recognition, Automated , Methods , Tomography, X-Ray Computed , Methods
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