In order to investigate the effect of deep brain stimulation on diseases such as epilepsy, we developed a closed-loop electrical stimulation system using LabVIEW virtual instrument environment and NI data acquisition card. The system was used to detect electrical signals of epileptic seizures automatically and to generate electrical stimuli. We designed a novel automatic detection algorithm of epileptic seizures by combining three features of field potentials: the amplitude, slope and coastline index. Experimental results of rat epileptic model in the hippocampal region showed that the system was able to detect epileptic seizures with an accuracy rate 91.3% and false rate 8.0%. Furthermore, the on-line high frequency electrical stimuli showed a suppression effect on seizures. In addition, the system was adaptive and flexible with multiple work modes, such as automatic and manual modes. Moreover, the simple time-domain algorithm of seizure detection guaranteed the real-time feature of the system and provided an easy-to-use equipment for the experiment researches of epilepsy control by electrical stimulation.
The gait acquisition system can be used for gait analysis. The traditional wearable gait acquisition system will lead to large errors in gait parameters due to different wearing positions of sensors. The gait acquisition system based on marker method is expensive and needs to be used by combining with the force measurement system under the guidance of rehabilitation doctors. Due to the complex operation, it is inconvenient for clinical application. In this paper, a gait signal acquisition system that combines foot pressure detection and Azure Kinect system is designed. Fifteen subjects are organized to participate in gait test, and relevant data are collected. The calculation method of gait spatiotemporal parameters and joint angle parameters is proposed, and the consistency analysis and error analysis of the gait parameters of proposed system and camera marking method are carried out. The results show that the parameters obtained by the two systems have good consistency (Pearson correlation coefficient r ≥ 0.9, P < 0.05) and have small error (root mean square error of gait parameters is less than 0.1, root mean square error of joint angle parameters is less than 6). In conclusion, the gait acquisition system and its parameter extraction method proposed in this paper can provide reliable data acquisition results as a theoretical basis for gait feature analysis in clinical medicine.
Abdominal imaging is one of the important clinical applications of magnetic resonance imagining, but image degradation due to respiratory motion remains a major problem. Retrospective respiratory navigator gating technique is an effective approach to alleviate such degradation but is subject to long scan time and low signal-to-noise ratio (SNR) efficiency. In this study, a modified retrospective navigator gating technique with variable over-sampling ratio acquisition and weighted average reconstruction algorithm is presented. Experiments in phantom and the imaging results of seven volunteers demonstrated that the proposed method provided an enhanced SNR and reduced ghost-to-image ratio compared to the conventional method. The proposed method can also be used to reduce imaging time while maintaining comparable image quality.
The human skeletal muscle drives skeletal movement through contraction. Embedding its functional information into the human morphological framework and constructing a digital twin of skeletal muscle for simulating physical and physiological functions of skeletal muscle are of great significance for the study of "virtual physiological humans". Based on relevant literature both domestically and internationally, this paper firstly summarizes the technical framework for constructing skeletal muscle digital twins, and then provides a review from five aspects including skeletal muscle digital twins modeling technology, skeletal muscle data collection technology, simulation analysis technology, simulation platform and human medical image database. On this basis, it is pointed out that further research is needed in areas such as skeletal muscle model generalization, accuracy improvement, and model coupling. The methods and means of constructing skeletal muscle digital twins summarized in the paper are expected to provide reference for researchers in this field, and the development direction pointed out can serve as the next focus of research.
Objective
To explore the application value of standardized patient (SP)-based teaching method in the teaching of medical history taking for international students.
Methods
During the autumn semester of 2017, 96 international medical students were randomly divided into two groups, with 48 students in the SP-based teaching group and 48 students in the conventional teaching group. The test scores of medical history taking in English in internal medical practice of the two groups were compared. The teaching feedback from the international students was collected and evaluated by online questionnaire survey.
Results
The scores of medical history taking examination in internal medical practice of the students using SP-based teaching method were higher than those of the students using conventional teaching method (86.5±9.7 vs.78.2±10.6), and the difference was statistically significant (t=3.983, P<0.001). According to the questionnaire analysis, in terms of whether the current teaching method could enhance learning interest, improve communication ability, promote clinical skills, train clinical thinking, and highlight humanistic care, students with positive views in the SP-based teaching group accounted for 92.86%, 97.62%, 85.71%, 90.48%, and 95.24%, respectively, while students with positive views in the conventional teaching group accounted for 90.00%, 87.50%, 82.50%, 77.50%, and 97.50%, respectively, and the differences were not statistically significant (P>0.05).
Conclusions
Well-trained SP has a good application value in clinical practice of internal medicine and diagnostics teaching for international students. SP-based teaching method has been accepted and supported by the majority of international medical students who have experienced it.
The intensive care unit (ICU) is a highly equipment-intensive area with a wide variety of medical devices, and the accuracy and timeliness of medical equipment data collection are highly demanded. The integration of the Internet of Things (IoT) into ICU medical devices is of great significance for enhancing the quality of medical care and nursing, as well as for the advancement of digital and intelligent ICUs. This study focuses on the construction of the IOT for ICU medical devices and proposes innovative solutions, including the overall architecture design, devices connection, data collection, data standardization, platform construction and application implementation. The overall architecture was designed according to the perception layer, network layer, platform layer and application layer; three modes of device connection and data acquisition were proposed; data standardization based on Integrating the Healthcare Enterprise-Patient Care Device (IHE-PCD) was proposed. This study was practically verified in the Chinese People’s Liberation Army General Hospital, a total of 122 devices in four ICU wards were connected to the IoT, storing 21.76 billion data items, with a data volume of 12.5 TB, which solved the problem of difficult systematic medical equipment data collection and data integration in ICUs. The remarkable results achieved proved the feasibility and reliability of this study. The research results of this paper provide a solution reference for the construction of hospital ICU IoT, offer more abundant data for medical big data analysis research, which can support the improvement of ICU medical services and promote the development of ICU to digitalization and intelligence.
This paper reports the study and design of a visualization system of the ultrasonic rhinitis therapeutic apparatus with the function of endoscopic sinus. On Linux operating platform, we captured the video data of a video capture card that connected the endoscopic sinus using Video4Linux (V4L2) that was provided by the operating system. The video images were displayed by Qt. The visualization system solved the problem that the current ultrasonic rhinitis therapeutic apparatus had to rely on the large and expensive endoscopy equipment. And this simplified the doctors' operation, met the need of monitoring nasal cavity in the process of operating, greatly reduced the costs of treatment and would contribute to the promotion of the instrument. As a result, it has been tested that the nasal endoscopic image achieved by the system is clear and smooth, and fully meet the clinical needs of ultrasonic treatment of rhinitis.
