Notes

[A retrospective examine regarding hemophilic pseudotumor throughout maxillofacial region].
With the market development and demand change, the use of adaptive algorithms in medical devices has become a possible trend. However, some uncertainties in the adaptive algorithm itself will bring challenges to the existing current supervisory work model. This article focuses on the ademptions of US agencies on artificial intelligence device supervision, and discusses the problems that existing pilot policies may encounter when facing devices with adaptive algorithms. In this way, we will provide relevant suggestions and look forward to discussing with scholars.Hyperbaric oxygen therapy is a method of breathing pure oxygen or high-concentration oxygen in a highpressure environment to treat hypoxic diseases and related diseases. According to clinical verification, this therapy has an irreplaceable effect on certain diseases and has gradually become a comprehensive clinical treatment. One of the main methods of certain diseases is widely recognized by the medical field at home and abroad. The development history, treatment principles, key technologies, and future development trends of hyperbaric oxygen are discussed in detail, provide a research direction for the development of hyperbaric oxygen therapy in the future, and at the same time, it has also improved physicians' awareness of hyperbaric oxygen therapy, so as to improving Industry influence.Blood glucose monitoring is of great significance to diabetic patients, and the development of rapid, accurate and real-time glucose detection technology has become a research hotspot nowadays. This study introduces the concept and classification of the enzyme-free glucose sensor, expounds enzymefree glucose sensor electrode characterization methods and the application progress of different materials in enzyme-free blood glucose sensors. Meanwhile, some problems of enzyme-free glucose sensor existing in the current research and its future application prospects also will be discussed.The treatment of refractory Glaucoma is a difficult problem in clinical ophthalmology. For refractory glaucoma patients with hyphema, shallow anterior chamber, anterior conglutination of peripheral chamber angle, corneal endothelium dystrophy or decompensated, at present, there is no effective treatment. In order to solve this problem, a new type posterior integral glaucoma valve with IOP control device was designed using medical titanium alloy, and the valve model was established by Abaqus software, and the stiffness and preload of the valve were analyzed by finite element method. The results showed that the opening and closing of the valve were controlled automatically by the pressure difference between the front and back of the valve, and the opening and flow rate of the valve increase dynamically with the increase of intraocular pressure, and finally reached the set ideal IOP value of steady state.The software of 3D-Modeling(UG NX 10.0) was used to design a new external fixator model for proximal femoral fracture, and fresh femoral cadaver specimens were used to simulate experimental operation. The results showed that the external fixator designed with the proximal femoral locking plate shape can improve the accuracy of Kirschner wire penetration into the femoral neck, reduce fluoroscopic and soft tissue incision injuries, and make a good stability and is easy to operate, which has a certain value for patients with proximal femoral fracture, such as intolerant surgery and poor physical condition.An integrated digital magnetic resonance imaging spectrometer was proposed in this study. By using the FPGA chip Artix7 200T, timing control, data processing, digital frequency conversion and phase control were implemented into a single-chip, thus effectively improved timing accuracy and phase accuracy, while avoided the structural design complexity caused by multi-board connection and improved system integration and imaging quality.Mercury sphygmomanometer based on traditional auscultation method is widely used in primary medical institutions in China, but a large amount of blood pressure data can not be directly recorded and applied in scientific research analysis, meanwhile auscultation data is the clinical standard to verify the accuracy of non-invasive electronic sphygmomanometer. Focusing on this, we designed a miniature non-invasive blood pressure measurement and verification system, which can assist doctors to record blood pressure data automatically during the process of auscultation. Through the data playback function,the software of this system can evaluate and verify the blood pressure algorithm of oscillographic method, and then continuously modify the algorithm to improve the measurement accuracy. This study introduces the hardware selection and software design process in detail. The test results show that the system meets the requirements of relevant standards and has a good application prospect.A high-precision human metabolic measurement system is designed. The system uses STM32F103 as the main control chip to acquire oxygen, carbon dioxide and flow signals to calculate four quantitative indicators oxygen consumption(VO2), carbon dioxide production(VCO2), respiratory entropy(RQ) and resting energy metabolism(REE), and finally uses an upper computer to display the calculation results.In this paper, the signal acquisition circuit design was carried out for the oxygen sensor, carbon dioxide sensor and flow sensor, and the validity of the device was verified with the American machine MGCDiagnositcs using Bland-Altman analysis method, and the results showed that the four parameters of VO2,VCO2, RQ and REE of both devices fell in the agreement interval of more than 95%. The device thus provides accurate metabolic measurements and offers an effective tool for the field of general health and clinical nutrition support in China.This study introduces the design and application of home wireless electrocardiograph(ECG) machine based on Internet. The world's first three-lead dry electrode mobile electrocardiograph machine has been developed, on the basis of the successful development of dry electrodes. Moreover, it is not only chips filtering, but also wireless, as a result it is applied to ECG monitoring and diagnosis of patients. Compared with traditional electrocardiograph machine, the machine is very convenient and comes into the home, ECG Machines is connected to mobile phones by Bluetooth, wireless upload, therefore we recommend to achieve remote monitoring and early warning and reduce sudden death, to achieve Internet medical by using Internet technology, people can be self-test. It is playing an increasingly important role and it is an inevitable machine to improve the success rate of diagnosis, monitoring and first aid.With the deepening of China's medical reform, the scale of hospital equipment assets at all levels is also expanding. In the face of large-scale and various equipment assets, the traditional single machine statistical management method not only has a single interface, poor data accuracy and is not compatible with other systems, but also is difficult to achieve "full life cycle" management. In order to solve above problems, the Ninth People's Hospital Affiliated to Shanghai Jiao Tong University of Medicine aims to use the Internet of Things to build a medical equipment management information platform, realize the whole hospital area, whole subject and whole process management of medical materials, and achieve the objectives of business linkage, information connectivity and data sharing between management departments and clinical departments.In this study, tibial shaft fracture has been treated with implants as numerically to investigate the stress behavior and the effect of plate material, position and length under pressure load. Plates of stainless steel, titanium alloy(Ti6Al4V), or CF-PEEK(CF50) were used to fix the tibial shaft comminuted fracture in different location and different working length. The maximum stress, the maximum micromotion of fracture and the stress shielding of cortex bone were analyzed. Bulevirtide CF50 is more ideal biomechanical fixation material than traditional metal material for the treatment of tibial shaft comminuted fractures. In the treatment of tibial shaft comminuted fracture, lateral position and with relatively long working length of the plate have the advantages in micromotion, stress and stress shielding rate of the fracture end.The high incidence of cardiovascular diseases is a serious threat to human health, and endovascular surgery has become the standard treatment for most interventional cardiovascular diseases. The robotassisted endovascular surgery system further enhances surgeons' ability to perform minimally invasive endovascular procedures in interventional cardiology. This study presents a new robotic technique for coronary intervention from the perspective of clinical application. Aiming at clinical application scenarios, this scheme proposed an intuitive guide wire catheter mechanism design, which accurately and perfectly simulates the doctor's hand movements, realizes the positive and negative direction translation of the guide wire catheter, accurate torque control of the guide wire rotation and locking. The results of animal test showed that the R-OneTM has a high degree of dexterity, accuracy and stability,and meets the clinical needs.To solve the problem of real-time detection and removal of EEG signal noise in anesthesia depth monitoring, we proposed an adaptive EEG signal noise detection and removal method. This method uses discrete wavelet transform to extract the low-frequency energy and high-frequency energy of a segment of EEG signals, and sets two sets of thresholds for the low-frequency band and high-frequency band of the EEG signal. These two sets of thresholds can be updated adaptively according to the energy situation of the most recent EEG signal. Finally, we judge the level of signal interference according to the range of low-frequency energy and high-frequency energy, and perform corresponding denoising processing. The results show that the method can more accurately detect and remove the noise interference in the EEG signal, and improve the stability of the calculated characteristic parameters.Premature delivery is one of the direct factors that affect the early development and safety of infants. Its direct clinical manifestation is the change of uterine contraction intensity and frequency. Uterine Electrohysterography(EHG) signal collected from the abdomen of pregnant women can accurately and effectively reflect the uterine contraction, which has higher clinical application value than invasive monitoring technology such as intrauterine pressure catheter. Therefore, the research of fetal preterm birth recognition algorithm based on EHG is particularly important for perinatal fetal monitoring. We proposed a convolution neural network(CNN) based on EHG fetal preterm birth recognition algorithm, and a deep CNN model was constructed by combining the Gramian angular difference field(GADF) with the transfer learning technology. The structure of the model was optimized using the clinical measured term-preterm EHG database. The classification accuracy of 94.38% and F1 value of 97.11% were achieved. The experimental results showed that the model constructed in this paper has a certain auxiliary diagnostic value for clinical prediction of premature delivery.
My Website: https://www.selleckchem.com/peptide/bulevirtide-myrcludex-b.html