With the rapidly development of medical image analysis technology and clinical image data, how to accurately diagnose, classify and evaluate the prognosis of different diseases is a major challenge for the modern medical workers. Deep learning is a new generation of artificial intelligence technology with high-throughput automatic extraction and high-dimensional feature information. Deep learning has been widely used in the field of clinical medical big data analysis, it providing a new opportunity for identification, accurate segmentation and auxiliary diagnosis of clinical medical images. This paper reviews the latest research progress of deep learning technology in the field of medical image analysis丨 it also discusses the important methods and typical applications of deep learning in medical image analysis such as MRI, CT, ultrasound and X-ray, and the prospect of deep learning artificial intelligence in medical image analysis.

Effective monitoring of vital signs is an important prerequisite for medical treatment and health maintenance. The limitations of traditional contact monitoring technology are significantly, and the user experience is wrong. With the progress of science and technology, all kinds of non-contact sensing technologies such as optical fiber sensing, bio-radar, piezoelectric sensing and infrared thermal imaging are developing rapidly. This paper compares and analyzes the principles, characteristics and related research status of different non-contact vital signs monitoring technologies, summarizes the advantages and disadvantages of current non-contact vital signs monitoring technologies and the possible development trend in the future, and provides ideas for the development of non-contact vital signs monitoring technologies.

Irreversible electroporation (IRE) is a phenomenon in which irreversible hydrophilic pores are generated in the lipid bilayer of cell membrane or biological tissue under the action of pulsed electric field, and its biological effect is to cause cell apoptosis or death. In 2021, the National Food and Drug Administration approved the marketing of two domestic IRE devices. So far, this technology has been applied in many domestic hospitals for the clinical treatment of liver cancer, pancreatic cancer, prostate cancer and so on, and achieved good therapeutic effect. This paper reviews the past and present of IRE at home and abroad, and looks forward to the future development of this technique.

Objective To design a management software, which can run on any handheld intelligent platform, of medical equipment based on the requirements of modern hospital. Methods A medical equipment management applet was designed based on WXML language and Bmob back-end clould database by using WeChat public platform and WeChat applet developer tools. Results This medical equipment management applet with the modules of information query, repair, maintenance, scrapping, user manuals viewing, operation footages replay etc, which could provide a convenient and reliable management method for hospital medical equipment management to meet the different needs of users. Conclusion The WeChat-based applet has many merits such as low cost of development, little fund inputting and short development cycles, which can significantly improve the efficiency of medical equipment management in hospital. The flexibility of WeChat-based applet provides medical equipment department with the possibility of rapidly developing a medical equipment management system while meeting the requirements of their own.

Objective To explore the maintenance methods of the B.Braun Dialog+ hemodialysis machine, the common faults during use were analyzed. Methods Based on three typical faults, the fault diagnosis method was explored, the working principle of the hemodialysis machine dialysate proportioning unit, influent degassing unit and ultrafiltration unit were deeply studied, and the cause of the fault was analyzed and summarized. Results The equipment failure was solved in time by replacing the consumable parts, and the maintenance of the equipment was carried out regularly to ensure that the machine was in good working condition. Conclusion Only by strengthening the understanding of the working principle and the structure of the fluid circuit of the hemodialysis machine, regular maintenance of the machine and timely replacement of aging accessories, can we guarantee the safe and effective treatment of patients.

Minimally invasive treatment for early gastrointestinal cancer is currently a research hotspot. Surgery is currently an effective treatment method for gastrointestinal tumors. However, due to the dependence of surgery on doctor experience, difficulties in intelligent characterization during early gastrointestinal cancer surgery, and difficulties in dynamic monitoring of treatment effects, advanced new equipment is urgently needed to innovate the current diagnosis and treatment mode. Therefore, the development of intelligent minimally invasive theranostics systems has become an urgent key challenge to overcome. Aiming at the core problems of intelligent diagnosis and treatment such as gastrointestinal tumors, the development of intelligent minimally invasive diagnosis and treatment instruments is of great significance, and can provide important solutions for the current theranostics of tumors. This article introduced the research and clinical applications of optical technology based imaging methods, intelligent precise diagnosis schemes, image guided surgical treatment, robot assisted intelligent treatment, and other aspects for early gastrointestinal cancer. It discussed and proposed possible future development directions in these areas, and pointed out the key issues of integrated invasive intelligent multimodal optical minimally invasive theranostics to be studied in the future, so as to provide reference suggestions for the research on the key issues of minimally invasive diagnosis and treatment integration of gastrointestinal and the development of intelligent diagnosis and treatment instruments.

According to the statistics of the fault data of our hospital, the clinical failures of D3 defibrillator were mainly concentrated in the front shell module, multi-parameter module and power module. The main clinical manifestations of failures were failure to boot, failure to charge and discharge, no display on black screen, and no ECG waveform, which these four types accounted for about 64% of total failures. Rapid troubleshooting and maintenance can not only ensure the intact rate of defibrillator, but also reduce maintenance costs, while effectively ensuring the safety of equipment.

This article reviewed two cases of conductivity related troubles of dialysate of B.Braun Dialog+ series hemodiafiltration machines, which was the long time of dialysate matching in the self inspection and “over carbonic acid mixure ratio limit” “over total conductivity limit” or “carbonic acid conductance overrun” in the treatment process, occurred occasionally. By observing the equipment operation parameters, step by step investigation from simple to difficult. Finally, it was determined that the fault was caused by the impurity signal transmission disorder on the surface of air separation chamber probe and balance chamber solenoid valve. After cleaning, the fault was resolved. The purpose of this paper is to provide reference for the same process to deal with similar difficult faults.

With the rapid development of new MRI technology and the further recognition of the diagnosis, treatment, and prognostic value of central nervous system diseases, especially in recent years, diffusion tensor imaging (DTI) technology has been widely studied and clinically applied. Clinicians are increasingly aware of the importance of new MRI technology. This article first discussed the advantages and limitations of DTI technology, and then summarized the relevant research of DTI technology in traumatic brain injury, stroke, brain tumors, neurodegenerative diseases, development disorders, neuropsychiatric disorders, movement disorders, and neurogenetic developmental disorders at home and abroad. Finally, it provided a prospect of future development of DTI technology in this field.

Cancer has become a major disease threatening human health. Although traditional treatment methods have curative effects, they have certain contraindications and side effects. As a new locoregional physical treatment technology for cancer, irreversible electroporation has unique advantages over traditional tumor treatment methods, and can be used for the treatment of adjacent blood vessels, nerves and other important organs and tissues. Clinical research shows that the irreversible electroporation of cells generated by microsecond electric pulse could bring obvious muscle contraction and arrhythmia in human body while ablating tumor. In terms of nanosecond pulse ablation can overcome the above shortcomings by changing the hardware implementation of pulse generator, increasing voltage and compressing pulse width. This paper introduces the rise and advantages of nanosecond pulse tumour ablation technology, reviews the current situation of nanosecond pulse tumour ablation research and clinical application at home and abroad, analyses the advantages of the iterative technology of nanosecond pulse ablation devices, focuses on the nanosecond pulse power technology, nanosecond pulse electric field distribution, electric field intensity threshold and the different quantitative-effect relationships brought about by different electric pulse parameters for tumour ablation, and outlooks the latest developments and development directions of nanosecond pulse tumour ablation devices.

Quantitative phase imaging (QPI) as unlabeled microscopic imaging, has become one of the most valuable methods in biomedical applications. Diffraction phase microscopy (DPM) is a high-sensitivity QPI method based on slightly off-axis commonpath structure, which has the characteristics of label-free, high stability and low-noise phase images. This paper systematically introduced the theory of interference imaging, the principles of selection of system parameters, and the phase retrieval algorithm. Moreover, the developments of DPM method was summarized, including white-light diffraction phase microscopy, multi-wavelength diffraction phase imaging, structural light illumination diffraction phase imaging, and multi-mode diffraction phase imaging. Additionally, the application of these developed DPM methods in biology and medicine is introduced. Finally, the limitations of the DPM methods and the possible development in the future were also discussed.

This paper analyzed one fault case of Smith FWZ-50C6 single pass injection pump, discussed cause of the failure and solutions. Unlike common fault cases, the fault phenomenon were composed of unable to boot, automatically turning-on-and-off, the motor was not working. We analyzed the relationship between fault and electronic component and conducted targeted maintenance, through finding working principle of the injection pump circuit diagram and the main working principle of electronic components in the circuit. Clinical engineers should acquire basic skill, know the working principle of electronic component well. In this premise, they can enhance the fault analysis ability and solve the problem quickly.

Oxygen saturation is an important physiological parameter reflecting the function of respiration and circulation, which has been widely used in clinical monitoring and health caring. The paper analyzed the main contents of the pharmaceutical industry standard YY 0784-2010 through introduced the major technical parameters and electromagnetic compatibility characters. The development of the international standards of pulse oximeter was also reviewed. Finally, we discussed the importance of the industry standards on the reliability and safety of pulse oximeters.

Modern technology such as electroencephalogram, MRI technology have been used to observe the activity of brain electrical activity when one is under meditation condition and to predict the possible long-term effects of meditation on the brain structure. Meditation is a broad variety of mind-training practices that has benefits to people’s psychological and physiological status. Recently, it has been widely applied in psychology and clinical medicine as a main type of complementary and alternative therapy. Meditation is effective in the prevention and prognosis of chronic diseases such as hypertension, cardiovascular disease, chronic pain, postoperative depression, etc. It is also proved that meditation has a good therapeutic effect on Alzheimer’s symptoms, epilepsy, anxiety, depression and other neurological and psychiatric disorders. Meditation helps to improve the function of immune system, increase telomerase activity and also have a positive impact on brain plasticity. This article reviews the application progress of meditation in clinical medicine fields.

Clinical blood test is the most common and basic test project in the laboratory. Whole blood cell analysis has a very important influence on the clinician’s judgment of the disease. To provide a reference for the maintenance of similar equipment, two cases of maintenance failures in the Hessian-Meikang XN-2000 blood analyzer with a white blood cell (WBC) count of 0 and RBC sheath fluid suction abnormalities were analyzed. The fault that WBC count is 0 was caused by the fault of DCSV37 at the rear end of the flow pool, and the fault was solved after replacing the electromagnetic valve. Meanwhile, the abnormal suction of the red blood cell sheath flow was caused by the blockage of the front limit tube of the diaphragm pump, and the fault was removed after cleaning the foreign matter inside the restrictor. For this kind of fault, the maintenance personnel must be familiar with the water and gas road map of the machine and fully understand the working principle of the machine, so that the fault can be quickly checked against the water and gas road map when the fault occurs, and the maintenance efficiency can be improved logically. At the same time, it also provides solutions for other faults.

Optical coherence tomography (OCT), widely used in the field of ophthalmic clinical diagnosis, is an emerging three-dimensional imaging technology. To achieve an accurate and effective diagnosis based on OCT technology, the outputs from OCT equipment needed to be reliable. It could not be guaranteed except that the key parameters of OCT equipment were verified and calibrated periodically. For ophthalmic OCT equipment, a series of metrological calibration tools were designed, fabricated and tested in this study, including calibration tools based on the international standard ISO 16971:2015, 3D resolution model eyes based on 3D printing technology, layered structure model eyes based on spin-coated film technology and point spread function (PSF) phantoms based on PSF theory. The characteristics and differences of these calibration tools were compared by verifying basic OCT parameters such as lateral resolution, axial resolution, field of view, depth measurement, signal-to-noise ratio, and co-alignment of fundus image and OCT scan. The results showed that the existing calibration tools are suitable for different parameter detection. A more integrated, more versatile, reliable calibration tool with a complete traceability chain and long-term consistent performance is still worth looking forward to.

本文通过分析Evita4和Savina呼吸机的5例常见故障，探讨呼吸机的故障检修方法，分析常见故障原因。

The advent of laparoscopic surgical robots has reduced the surgical trauma of patients, shortened the postoperative recovery period, and promoted the development of surgery toward precision and minimally invasive surgery. However, its narrow surgical field of view and lack of physical feedback have increased the difficulty of surgery. In recent years, with the advancement of augmented reality (AR) technology, it has gradually been widely used in the medical field. Due to its visualization characteristics, augmented reality has unique advantages in intraoperative navigation in surgical procedures (especially in laparoscopic surgery). In laparoscopic robotic surgery, the use of an augmented reality-based intraoperative navigation system can significantly enhance the surgeon’s perception of the surgical environment and help improve surgical safety and precision. This paper reviewed current research advances in augmented reality technology and its current status of application in laparoscopic robotic surgery.

The development of psychiatric medical eye trackers was mainly introduced in this paper. We described the work principle of the electro-optical eye tracker, the corneal reflex eye tracker and the pupil-corneal reflex vector method of medical eye tracker and the clinical application of eye tracker in the diagnosis of schizophrenia. Combining the current research status of eye tracker at home and abroad with the actual work, the design and development trend of future medical eye tracker was proposed.

Transcranial electrical stimulation (tES) is a noninvasive nerve stimulation technique, which can regulate the neural activity by using specific, low-intensity current through two electrodes to specific brain regions. Previous studies showed that tES is a useful device for brain injury recovery, emotion regulation and improvement of cognitive capability. Its portable, painless, inexpensive, safe features and long-lasting effects make tES a very promising brain stimulation technique. This paper introduced the principle of tES as well as its clinical application, prospect and instrumentation.

With the rapid development of wearable technology and the background of the aging society, the relative shortage of medical resources and popularization of health concept, wearable medical health monitoring receives more and more attention. Wearable health monitoring devices aimed at monitoring human health information in real-time and combining the analysis of big data and experts’ advice to provide scientific health guidance. This paper sumed up the application of wearable devices in the medical monitoring field from the aspects of chronic disease management and health monitoring, pointed out the existing deficiencies, and summarized the trend of wearable medical health monitoring.

Vascular interventional surgical robots have become the research foucs of medical robots because of their advantages of assisting doctors to remotely control catheter guide wires for surgery to reduce radiation hazards, improve surgical accuracy, and shorten surgical time. This paper introduces the robotic system of vascular interventional surgical designed by various research institutions in recent years. Important technical developments in vascular interventional robotic system including catheter instrumentation, image navigation, force feedback, as well as skill evaluation have been reviewed and we analyze the meaning of these technologies in robotic systems and their development trend. Finally, the future research directions in vascular interventional robotic system are listed. This article can enable researchers to understand the structure of vascular interventional surgical robotic system, grasp the development status of key technologies, and provide references for future research direction.

The electroencephalogram signal is the overall response of the synchronous electrophysiological activities of a large number of neurons in the human central nervous system in the cerebral cortex and scalp surface. The processing and analysis of electroencephalogram signals are of great significance for exploring the working mechanism of brain and to diagnose and treating diseases of brain nervous system. This paper reviewed and summarized the latest research results related to electroencephalogram signal processing and analysis at home and abroad in recent five years, and mainly sorts out them according to four kinds of methods: time-frequency analysis, high-order spectrum analysis, nonlinear dynamics and artificial neural network. We hope this paper can provide some references for scholars to get the current research status and to choose appropriate methods of electroencephalogram processing and analysis.

Artificial intelligence diagnosis and treatment platform is an important measure and development direction in the future medical field. It plays an important role in intelligent medicine, intelligent image recognition, intelligent health management and so on. With the progress of artificial intelligence, the key technology, large data technology and the development of Natural Language Processing technology have a positive effect on the establishment of artificial intelligence diagnosis and treatment platform. In this paper, we summarized the application and development of artificial intelligence diagnosis and treatment platform in medical field from several aspects of intelligent medicine, intelligent image recognition and intelligent health management. Then we put forward the existing problems in creativity and social ethics, and summarized the prospect of future development.

This paper briefly introduced the definition of worklist and its related technologies, detailed the configuration and debugging process of the new version of PACS (Picture Archiving and Communication System) in the hospital. Through configuration and debugging of the worklist of imaging equipment, integration of HIS (Hospital Information System), RIS (Radiology Information System) and PACS was realized. It also introduced the application of worklist in elimination of common failures and maintenance of RIS.

Sleep respiratory disease is a common and frequently-occurring disease that endangers human health. China’s population is in the stage of accelerated aging. The research and promotion of portable sleep monitoring device can play an important role in disease screening and management. Starting from the clinical and home application needs of sleep respiratory health management, this paper analyzed the development status of major new portable sleep monitoring device at home and abroad, and discussed the key technologies of intelligent hardware and intelligent algorithms. Finally, the paper summarized the current situation and the future development trends.

Objective To analyze the scientific research status of medical biosensors in the world. Methods Papers related to medical biosensors were retrieved from the Web of Science database. By analyzing the global research situation of medical biosensors using bibliometrics method, the overall status of the publications in the field was showed, and the world’s leading countries, institutions and teams were identified. Further more, the participation of countries in international cooperation in this field was analyzed by social network analysis. Results From 1990 to 2022, a total of 12520 scientific papers on medical biosensors were published worldwide. More than 50% of papers were published from 2018 to 2022 (54.72%). Clinical application and technical improvement related words were the high-frequency words. China ranked the first in the number of published papers (4070), with a compound annual growth rate of 25.58% from 2012 to 2021. The number of published papers (2595) and the annual compound growth rate (10.53%) in the U.S. were lower than those in China, but the average citation frequency of articles in the U.S. was higher than that in China (43.12 vs. 23.95). China and the U.S. are the center of international cooperation. The U.S. is slightly better than China in various quantitative indicators of international cooperation. The number of publications of other countries was less than 1000, so as the international cooperation. Among the top 20 institutions in the world in terms of publication volume (≥90 articles) , 6 are in China and 5 are in the U.S. The number of papers published by the Chinese Academy of Sciences ranks first in the world. A total of 9 corresponding authors who published more than 20 articles in the world, including 5 Chinese authors. Conclusion The scientific research in the field of medical biosensors is active worldwide, and the research results have accumulated rapidly in the past five years. China ranks first in the world in this field and has maintained a rapid growth in the past decade. Chinese scientific research institutions, represented by the Chinese Academy of Sciences, which are active in their research. In this field, the number and growth rate of U.S. publications are lower than that of China, but the influence of U.S. papers and the performance of international cooperation are better than that of China, playing the role of bridge in global cooperation. Other countries’ publications in this field are relatively limited and their influence is weak.

随着医疗影像设备的应用和医疗系统的日趋成熟和发展，医院内显示器的使用量逐步增加，如何选择专业的医疗影像显示器成为医院和生产厂家关注的重点。医疗影像显示器在医疗影像诊断中替代了胶片的地位，成为医学影像的最终呈现者，影响着医生对患者的观察和诊断。越来越多的专家和科室管理者逐步认识到医疗影像显示器质量控制的重要性。 本标准按照 GB/T 1.1-2016《标准化工作导则第 1 部分：标准的结构和编写规则》中有关规定而编制。本标准的附录 A、附录 B 为规范性附录。

Objective To propose a rigid registration method of CT-MRI 3D/3D based on surface feature points (method 1 ) and a rigid registration method of CT-MRI 3D/3D based on surface contour point cloud ( method 2 ), to provide the necessary basis for image fusion scenes required by clinic, such as the sketch of head tumor target area. Methods After 3D surface rendering and reconstruction of CT and MRI image sequences using the open-source graphic application library Visualization Toolkit (VTK), facial feature points were picked up and registered with the 3D feature point set based on the iterative nearest point algorithm. In order to reduce the human interference in picking up the feature points, a method was further proposed which extracted the face contour of 2D image and reconstructed it to face feature point cloud, limited the registration interval, the effectiveness of two registration methods were compared. Results After evaluation from multiple angles, method 1 had a lower Dice score compared to method 2 due to the error in manually picking feature points. Compared with other registration methods, the root mean square error values of the two registration methods were lower, and the performance of the method 2 was more prominent. The two methods had good performance in registration accuracy, robustness, inverse consistency and registration speed. Conclusion The advantages of method 1 were mainly reflected in the registration speed, and the advantages of method 2 were mainly reflected in the registration accuracy. Both methods have good performance in terms of robustness and inverse consistency. Both methods can get good registration results, which is of great positive value for the accurate diagnosis of head tumors or the formulation of appropriate treatment plans.

Terahertz technology has been continuously studied in recent decades, because of its unique properties and advantages. Its huge application potential in the medical field has been gradually developed and applied. This research summarized the history and the latest developments of terahertz in the medical field, and expounded the significance and application prospect of its current research in this field.

Dental comprehensive treatment table, also known as dental chair, is the basic tool in dental diagnosis and treatment. Mechanical motion fault is the common fault of dental chair. In this paper, three kinds of common fault of equipment in use were introduced in detail. The first fault was the fault of air control switch DN1, dental chair can not carry on any mechanical movement. The second fault was that the dental chair can not rise because of the oxidation of the relay contacts. The third fault was the fault of potentiometer P1, dental chair can not rise and fall. By analyzing the causes of the fault, this paper established a set of correct investigation ideas, and solved the three kinds of the fault, efficiently by replacing the new air control switch, relay and potentiometer. The use efficiency of the equipment is improved through maintenance, and the experience can be used for reference for similar faults.

Accurate preoperative prediction of tumor regression grade (TRG) after neoadjuvant chemoradiotherapy (NCRT) in patients with locally advanced rectal cancer before surgery can help to provide an individualized treatment plan for patients. Imaging methods are the primary means of predicting TRG, but the predictive efficacy of traditional imaging methods is unsatisfactory. The development of several new imaging techniques, including contrast enhanced and functional imaging, provides new means, radiomics can provide more objective support for clinical concerns such as efficacy, prognosis, and treatment decisions by using computers to identify deep-seated information in a large number of images. This paper aims to review a large number of applied studies on imaging to predict TRG in rectal cancer after NCRT, to understand its latest progress.

Wireless body area network (WBAN) is an emerging wireless communication technology that enables real-time monitoring and collection of human physiological parameters, and transmits the data to remote data centers for processing and analysis. It has been applied in both medical and non-medical fields with broad prospects. This paper reviews the basic principle and development of WBAN. Taking implantable cochlear implants, insulin pumps, pacemakers, and neurostimulators as examples, provide an overview of the specific applications of WBAN in the medical field, aiming to provide a certain reference basis for the wider application of WBAN technology in the biomedical field in the future

This study aims to introduce the quality control (QC) test standards of DR, CT, MR, DSA and PET-CT, and elaborate the value of QC test and quality management in medical imaging equipment routine operation. The existing issues about the QC test and management of medical imaging equipment were analyzed and the solutions were proposed. The goal of this study was to ensure the accuracy of test parameters and safety for medical imaging equipment operation.

Objective To explore the value of shear wave elastography (SWE) combined with Chinese Thyroid Imaging Reporting and Data System (C-TIRADS) classification guidelines in the differential diagnosis of thyroid nodules. Methods The data of 176 patients with thyroid nodules were retrospectively analyzed, with a total of 179 nodules, including 78 benign nodules and 101 malignant nodules. There were 77 small nodules (≤10 mm) and 102 large nodules (>10 mm). With crude needle puncture or surgical pathological results as the “gold standard”, the consistency between conventional ultrasonic C-TIRADS classification diagnosis, SWE and their combined diagnosis and “gold standard” was analyzed, and the working characteristic curve of subjects was drawn to analyze the diagnostic efficacy of conventional ultrasonic C-TIRADS classification diagnosis, SWE and their combined diagnosis. Results The maximum value (SWEmax), the minimum value (SWEmin), the mean value (SWEmean) and the standard deviation (SWESD) of SWE Young's modulus of benign nodules were smaller than those of malignant nodules, and the difference was statistically significant (P<0.05). With regard to malignant nodules, the SWEmax, SWEmean, SWEmin, and SWESD values of the large nodule group were higher than the small nodule group, and the difference was statistically significant (P<0.001). The sensitivity, specificity, accuracy, area under curve (AUC) and Kappa values of C-TIRADS guideline diagnosis were 97.03%, 60.26%, 81.0%, 0.786 and 0.597, respectively. The sensitivity, specificity, accuracy, AUC, and Kappa values of SWE diagnosis were 89.11%, 87.18%, 88.3%, 0.881 and 0.762, respectively. The kappa value, sensitivity, specificity, accuracy,and AUC of the combined diagnosis were 0.874, 99.01%, 88.46%, 94.4%, and 0.937, respectively. Conclusion Young’s modulus values of large and small malignant nodules were higher than those of large and small benign nodules. The combination of SWE and C-TIRADS guidelines in the diagnosis of thyroid nodules can further improve the sensitivity, specificity, accuracy, which can be extended to clinical practice.

In this paper, the working principle of philips color ultrasound named by EPIQ7C and the software and hardware process of power startup were introduced in detail firstly. Then, the detection of power failure was mainly discussed in combination with the equipment failure condition. By analyzing the voltage threshold of power module interface connection diagram and power module, the isolation detection method of power failure was discussed. It provided strong data and theoretical support for the power modular maintenance of EPIQ7C.

In this paper, we used Swiss cheese model theory to analyze the risk of medical equipment operation, and explore how to effectively apply it to medical equipment operation so as to reduce operation errors ensuring the safety of patients and cut the operating costs.

Flexible electronic monitoring equipment is based on the development of flexible electronic technology. Compared with traditional electronics, flexible electronics has greater flexibility and can adapt to different working environments to a certain extent, to meet the deformation requirements of the equipment. With the rapid development of flexible electronics, its application in the medical field has changed the way and method of traditional medical monitoring. Wearable, mobile, time-independent and locationindependent monitoring devices are provided for medical health monitoring. Meanwhile solutions and device support are provided for non-invasive or minimally invasive continuous real-time monitoring. The advantages of flexible electronic monitoring devices help to change the traditional medical monitoring mode and realize the mobile and intelligent medical monitoring mode. This paper reviews the current situation of flexible electronic monitoring devices at home and abroad, summarizes the challenges faced by flexible electronic monitoring equipment and looks forward to the future development direction, and aims to provide a theoretical basis for the better development and clinical application of subsequent flexible electronic monitoring devices.