Mobile Medical System Research Articles

Machine Learning and Natural Language Processing Algorithms in the Remote Mobile Medical Diagnosis System of Internet Hospitals

In order to alleviate the contradiction between supply and demand of professional pharmacists, integrate medical resources, and ensure the safety of patients’ medication, the telemedicine diagnosis system has played a great role. Today, in this “Internet +” era, all walks of life have begun to integrate with Internet technology. The purpose of this article was to discuss the practical utility of machine learning and natural language processing algorithms in the remote mobile medical diagnosis system of Internet hospitals, for which this article conducted in-depth discussion. This article first introduced the basic concepts, development, and characteristics of machine learning and natural language processing algorithms in detail, and carefully studied and analyzed the development and culture of traditional offline medical diagnosis models. Based on machine learning and natural language processing algorithms, a remote mobile medical diagnosis is designed. By combining with the medical diagnosis system of traditional hospitals, a new type of remote mobile medical diagnosis system for Internet hospitals was designed and developed, and the combination of traditional medical industry and Internet technology was deeply studied. According to each functional requirement, the image module, heart rate measurement module, and user setting module are designed, respectively. Compared to traditional medical diagnosis systems, the accuracy of the remote mobile medical diagnosis system based on machine learning applied in Internet hospital diagnosis in this article reached 80% or even higher. At the same time, it was found through experiments that when the evolution number was 3, the maximum fit value and average fit value were the same, both of which were 0.6. This indicates that the system can accommodate more than 10,000 people at the same time, and patients can receive good treatment plans, with a very broad application prospect

Design and implementation of a mobile medical and continuing care system based on wireless sensor networks

The Android system has good compatibility, freedom, rich hardware resources and a good development environment. At the same time, it can also work with Google services to obtain external support. Android is an open source operating system platform, which is similar to the iOS platform. In contrast, developers have more room for development, making the Android platform more people use. This article aims to develop a mobile medical system based on the Android operating system that integrates search engines, maps, and hospital HIS systems. The users are mainly patients, doctors and system administrators. Patients can register online and use mobile healthcare to pay online. They can also upload various physical indicators to record their daily health status. The establishment of health files is convenient for doctors to make health assessments and provide patients with medical consultation and medical health protection. Patients can also realize hospital navigation, intra-hospital navigation, and view various hospital inspection reports through the APP. The design of mobile medical service system is to design user behavior in the system based on the concept of service design. Therefore, in the process of system design, it is necessary to comprehensively consider service design principles and related factors, and propose behavior design principles that conform to service design theory. This study uses a mutual continuation care platform to implement seamless care for patients. Patients and medical staff can realize the continuation of the relationship and the continuity of information, and the patients can receive comprehensive guidance in a timely and effective manner. It can provide a reference basis for improving the continuity management and information management of patients in China, and provide reference value for the standardization and standardization of patients' continuation of nursing care standards and procedures.

Retracted: Evaluation and Correlation Analysis of Mental and Psychological Factors and Premature Ejaculation in Patients with Benign Prostatic Hyperplasia in Mobile Medical System.

[This retracts the article DOI: 10.1155/2022/8260640.].

Athlete injury detection and emergency treatment in mobile smart medical system

Using the sports injury monitoring system to detect injury symptoms in time and take effective treatment measures in time can reduce the damage caused by sports injuries to athletes. However, many current detection methods lack the support of advanced technologies and algorithms, resulting in poor performance in sports injury detection. Based on this, a mobile intelligent medical system is designed in this paper, and an athlete injury detection method based on CNN and sensors is proposed. The method includes three parts: motion region acquisition, motion injury feature extraction, and motion injury detection. In addition, for emergency treatment, this paper proposes a variety of CNN-based image data analysis methods to ensure the accuracy of the processing process. The experimental results show that the athlete injury detection method based on the convolutional neural network improves the detection accuracy by 6.73% compared with the traditional method, which also provides an important reference for the future application of ML in medical treatment. The research confirms that the construction and analysis of mobile intelligent medical system can effectively improve the accuracy of sports injury detection.

Telehealth System Based on the Ontology Design of a Diabetes Management Pathway Model in China: Development and Usability Study

Diabetes needs to be under control through management and intervention. Management of diabetes through mobile health is a practical approach; however, most diabetes mobile health management systems do not meet expectations, which may be because of the lack of standardized management processes in the systems and the lack of intervention implementation recommendations in the management knowledge base. In this study, we aimed to construct a diabetes management care pathway suitable for the actual situation in China to express the diabetes management care pathway using ontology and develop a diabetes closed-loop system based on the construction results of the diabetes management pathway and apply it practically. This study proposes a diabetes management care pathway model in which the management process of diabetes is divided into 9 management tasks, and the Diabetes Care Pathway Ontology (DCPO) is constructed to represent the knowledge contained in this pathway model. A telehealth system, which can support the comprehensive management of patients with diabetes while providing active intervention by physicians, was designed and developed based on the DCPO. A retrospective study was performed based on the data records extracted from the system to analyze the usability and treatment effects of the DCPO. The diabetes management pathway ontology constructed in this study contains 119 newly added classes, 28 object properties, 58 data properties, 81 individuals, 426 axioms, and 192 Semantic Web Rule Language rules. The developed mobile medical system was applied to 272 patients with diabetes. Within 3 months, the average fasting blood glucose of the patients decreased by 1.34 mmol/L (P=.003), and the average 2-hour postprandial blood glucose decreased by 2.63 mmol/L (P=.003); the average systolic and diastolic blood pressures decreased by 11.84 mmHg (P=.02) and 8.8 mmHg (P=.02), respectively. In patients who received physician interventions owing to abnormal attention or low-compliance warnings, the average fasting blood glucose decreased by 2.45 mmol/L (P=.003), and the average 2-hour postprandial blood glucose decreased by 2.89 mmol/L (P=.003) in all patients with diabetes; the average systolic and diastolic blood pressure decreased by 20.06 mmHg (P=.02) and 17.37 mmHg (P=.02), respectively, in patients with both hypertension and diabetes during the 3-month management period. This study helps guide the timing and content of interactive interventions between physicians and patients and regulates physicians' medical service behavior. Different management plans are formulated for physicians and patients according to different characteristics to comprehensively manage various cardiovascular risk factors. The application of the DCPO in the diabetes management system can provide effective and adequate management support for patients with diabetes and those with both diabetes and hypertension.

Evaluation and Correlation Analysis of Mental and Psychological Factors and Premature Ejaculation in Patients with Benign Prostatic Hyperplasia in Mobile Medical System.

Chronic prostatitis is a very common and very difficult disease. Based on the mobile medical system, this paper carried out a correlation analysis on the psychological factors and the evaluation of premature ejaculation in patients with benign prostatic hyperplasia. The article first analyzes the application in the field of mobile medical and then introduces the prostate image segmentation method based on the geometric active contour model. The emergence of automatic organ tissue segmentation technology is timely; it can help clinicians save a lot of manual segmentation time and has better reversibility and objectivity, and the theory of curve evolution is analyzed. Finally, this paper introduces the experimental research object and purpose, makes a statistical analysis of the symptoms of benign prostatic hyperplasia, and compares the incidence of psychological symptoms in patients with prostatitis under different factors. The experimental results of this paper show that 90% of prostatitis patients have mild psychological problems, and 10% have moderate psychological problems. Among them, the main reason for the psychological disorder of patients is depression, for which we should strengthen the care for patients.

Prediction Model of Ischemic Stroke Recurrence Using PSO-LSTM in Mobile Medical Monitoring System.

Aiming at the problems of low prediction accuracy and low sensitivity of traditional ischemic stroke recurrence prediction methods, which limits its application range, by introducing an adaptive particle swarm optimization (PSO) algorithm into the Long and Short-Term Memory (LSTM) model, a prediction model of ischemic stroke recurrence using deep learning in mobile medical monitoring system is proposed. First, based on the clustering idea, the particles are divided into local optimal particles and ordinary particles according to the characteristic information and distribution of different particles. By updating the particles with different strategies, the diversity of the population is improved and the problem of local optimal solution is eliminated. Then, by introducing the adaptive PSO algorithm into the LSTM, the PSO-LSTM prediction model is constructed. The optimal super parameters of the model are determined quickly and accurately, and the model is trained combined with the patient's clinical data. Finally, by using SMOTE method to process the original data, the imbalance of positive and negative sample data is eliminated. Under the same conditions, the proposed PSO-LSTM prediction model is compared with two traditional LSTM models. The results show that the prediction accuracy of PSO-LSTM model is 92.0%, which is better than two comparison models. The effective prediction of ischemic stroke recurrence is realized.

Effects of Out-of-Hospital Continuous Nursing on Postoperative Breast Cancer Patients by Medical Big Data.

This study aimed to explore the application value of the intelligent medical communication system based on the Apriori algorithm and cloud follow-up platform in out-of-hospital continuous nursing of breast cancer patients. In this study, the Apriori algorithm is optimized by Amazon Web Services (AWS) and graphics processing unit (GPU) to improve its data mining speed. At the same time, a cloud follow-up platform-based intelligent mobile medical communication system is established, which includes the log-in, my workstation, patient records, follow-up center, satisfaction management, propaganda and education center, SMS platform, and appointment management module. The subjects are divided into the control group (routine telephone follow-up, 163) and the intervention group (continuous nursing intervention, 216) according to different nursing methods. The cloud follow-up platform-based intelligent medical communication system is used to analyze patients' compliance, quality of life before and after nursing, function limitation of affected limb, and nursing satisfaction under different nursing methods. The running time of Apriori algorithm is proportional to the data amount and inversely proportional to the number of nodes in the cluster. Compared with the control group, there are statistical differences in the proportion of complete compliance data, the proportion of poor compliance data, and the proportion of total compliance in the intervention group (P < 0.05). After the intervention, the scores of the quality of life in the two groups are statistically different from those before treatment (P < 0.05), and the scores of the quality of life in the intervention group were higher than those in the control group (P < 0.05). The proportion of patients with limited and severely limited functional activity of the affected limb in the intervention group is significantly lower than that in the control group (P < 0.05). The satisfaction rate of postoperative nursing in the intervention group is significantly higher than that in the control group (P < 0.001), and the proportion of basically satisfied and dissatisfied patients in the control group was higher than that in the intervention group (P < 0.05).

MEDICAL RECORD APPLICATION WITH MOBILE WEB-BASED BARCODE SYSTEM

Medical record is a file containing notes and documents regarding patient identity, examination, treatment, actions, and other services to patients at health care facilities. According to the Regulation of the Minister of Health of the Republic of Indonesia in 2008 in Article 1, medical records are files containing notes and documents regarding patient identity, examination, treatment, actions, and other services which have been provided to patients. In the development of the medical record system, the waterfall method is used which is a method which takes a systematic approach from the level of system requirements to the analysis, design, coding, testing, and maintenance stages. Many methods are used in system development such as the prototyping method, waterfall, and others. In this study, only the waterfall development method is used because each stage will be carried out sequentially from System Design, System Analysis, Coding, System Implementation, and System Maintenance. Based on the results of the study of research progress, analysis, design, and implementation of the design of a mobile web-based barcode medical record system at Bhakti Keluarga Husada Clinic, it can be concluded that the system design was carried out using the PHP programming language, MySQL database processing, and the application of a web mobile-based barcode medical record system at Bhakti Keluarga Husada Clinic.

A Web-based Mobile Medical Monitoring System

A hospitalwide mobile medical monitoring system is described. Telemetry devices are attached to patients to acquire, store and process continuous data about their state of health. Medical staff may examine realtime graphical information and make comparisons with historical data. Parameters may be set to cause an automatic alert to portable devices held by appropriate staff if a patient requires urgent observation. The system uses the services provided by Internet and Intranet to allow remote supervision and consultation. A hardware/software prototype has been constructed to demonstrate realtime data acquisition, wireless transmission/reception and connection to the Worldwide Web. The realtime, supervisory and remote teaching aspects of the software system are being designed and are in the process of implementation.

Designing a mobile medical expert system using the Yandex.Alice voice assistant

Solving the problem of making a primary diagnosis in the absence or shortage of qualified doctors. The main task is to reduce the risk of incorrect assessment of the health status of people who do not have the opportunity to receive prompt qualified medical advice and assistance. We offer a project solution – Alice’s skill (voice assistant from Yandex) “Pocket Doctor” with a voice interface, which is a diagnostic expert system containing rules for logical inference based on symptoms, the assessment of which does not require special laboratory tests and can be performed by people who do not have a medical education. Based on the collected information from the user, the primary diagnosis and recommendations for emergency medical care are determined.

Medical Monitoring and Management System of Mobile Thyroid Surgery Based on Internet of Things and Cloud Computing

With the rapid development of the Internet of Things and cloud computing technologies, the Internet of Things technology based on comprehensive perception and interconnection and cloud computing based on virtualization, dynamic resources, and parallel computing have become the driving force for the innovation and development of informatization and intelligence. The cloud‐based Internet of Things mobile medical is an ecosystem of health information and medical information, with the medical Internet of Things at its core and highly mobile and highly shared information. Therefore, in the context of in‐depth research on mobile medical care, research on mobile postoperative thyroid monitoring and management systems based on the Internet of Things and cloud computing is a practical tool for promoting the development of mobile medical systems. Monitoring and Management. In this experiment, 48 cases of patients undergoing thyroid surgery were selected from a hospital. The experimental group was informed by the experiment that they need to be equipped with sensors. The control panel and GPS positioning module are used to obtain the exact position of the patient at the first time. The loading of the sensor is agreed by the patient and the patient’s family. Afterward, the control group will not be processed. It will conduct functional tests and software performance tests on the mobile medical monitoring and management system and analyze the satisfaction of medical staff with the mobile medical monitoring and management system. Experiments have proved that the cloud computing medical monitoring and management system is used to obtain the exact location of the patient in the first time, and the response time needs to be shorter. The response time of the system increases with the increase of the number of sensors (P &lt; 0.05), which shows that the mobile medical monitoring and management system is essential for medical care and medical care. Obtaining the exact position of the patient for the first time is of great importance for the successful rescue of the patient.

An intelligent method of cancer prediction based on mobile cloud computing

In recent years, mobile medical services have gradually become the common focus of the communications and healthcare industries. People can get medical information and services efficiently and conveniently anytime, anywhere. However, due to the limitations of the mobile terminal’s own computing and storage capabilities, mobile therapy is greatly challenged. Therefore, we propose a mobile medical health system based on cloud computing. Firstly, principal component analysis was used to obtain representative features. Then, a simplified feature subset was applied to support vector machine (SVM) based on Sigmoid kernel function. The data set was categorized by SVM as cancer patient and normal object experimental results show that the method is improved in accuracy, sensitivity, and specificity.

Development of wireless optical CDMA system for biosignal monitoring

This paper investigates the use of infrared technology in healthcare monitoring to develop a mobile medical system. This is because existing technology is generally based on radio frequency (RF) systems, which might suffer from electromagnetic interference (EMI). Additionally, the effect of the radiation field on medical equipment may lead to misdiagnosis. In answer to these issues, optical wireless links between the medical sensors and the receiver in the middle of the ceiling in a hospital room was examined. From the results, the power efficiency of the mobile optical wireless system to ensure the communication between medical sensors and the receiving point was established. Furthermore, the minimum required transmitted power for the required performance was determined to achieve a higher power autonomy. The results also show that the requirements of a healthcare monitoring application for medical nodes of up to 10 nodes, considering a data rate lower than 1Mbps, can be achieved using infrared technology. The results prove the superiority of the optical wireless technology over the conventional radio-based communication network in healthcare monitoring systems.

Constructing a 3D Multiple Mobile Medical Imaging System through Service Science, Management, Engineering and Design

Following the trend of using mobile devices for healthcare, a 3D multiple mobile medical imaging system (3D MMMIS) for doctor’s diagnosis and treatment was constructed through service science, management, engineering and design (SSMED) that can co-create the value between technology and humanity. Service experience engineering (SEE) methods were applied to a scenario of a doctors’ consultation, which is a deliberation of two or more healthcare doctors about diagnosis or treatment in particular cases. Proof of service was processed to test the prototype of the 3D MMMIS to check the doctors’ satisfaction with the innovative systems. Results show that doctors are satisfied with the 3D MMMIS. Conclusions suggested that the 3D MMMIS can be a helpful health technology for future healthcare.

Design of a Real-Time ECG Filter for Portable Mobile Medical Systems

Electrocardiogram (ECG) signal is a direct and effective way to find cardiovascular disease timely, which can intuitively reflect changes of the heart beat and activities of different parts. Due to the noise interference from surroundings, acquisition of real-time and high-quality ECG signal is a big challenge for portable mobile medical systems. Integer coefficients infinite impulse response (IIR) digital filter is suitable for portable mobile platform, but it will be a little bit of distortion. So, an improved integer IIR filter for portable ECG monitors is presented in this paper. The proposed IIR filter can instantaneously and effectively eliminate baseline drift of main interference frequency band and 50-Hz power frequency interference in ECG signal. The method is verified by a specific example and MIT/BIH Arrhythmia Database. The improved integer coefficients IIR filter was applied in a portable mobile medical system. It can meet the requirements of ECG filtering in real-time and filtering performance.

Design of an Integrated Healthcare System

A ubiquitous healthcare system (UHS) monitors patients with chronic disease and elderly persons all the time, wherever they are, detecting abnormal situations and issuing alarms when patients need immediate medical care. Prompt treatment may prevent a devastating illness. If there is no UHS, a family member or a member of the healthcare staff has to attend the patient all the time. Therefore, running a ubiquitous healthcare system is cost effective. This paper surveys such healthcare systems. A hospital healthcare system (HHS) is a computer system that provides medical staff with a convenient environment where they can perform their work efficiently. Therefore, a UHS should be integrated with the HHS. Furthermore, a mobile medical system consisting of ambulances, a monitoring system, medical equipment, and medical staff, and should also be integrated into the UHS and HHS. This paper suggests a way to integrate these systems.

Design and Implementation of Portable Device Based Mobile Medical Service System

By the way of the mobile wireless network, portable devices have been widely used to obtain the online resources than before. Based on portable device, it can provide access points to get the necessary information and flexible functions faster. Mobile medical system is designed to make use of portable devices and the wireless network. In this paper, we present an integrated architecture to deliver medical services using portable devices. The image denoising based on Shearlet transformation is used in our system to improve the quality of medical images shown in portable devices. The denoised images are set as the input for further processing. And optimized Narrow Band Active Contour (NBAC) is proposed to obtain accurate annotation of the masses in the medical images. Our system's basic platform, using iOS and Android portable devices for both doctors and nurses, has been deployed and evaluated in a real environment. The performance evaluation of this system is also performed, which shows improved image quality of medical images and better performance.

Performance Optimization of Healthcare Mobile Applications using Embedded System Design and Implementation

An Embedded device is an object that contains a special-purpose computing system. The system, which is completely enclosed by the object, may or may not be able to connect to the Internet. Embedded systems have extensive applications in consumer, commercial, automotive, industrial and healthcare markets. Generally, an embedded device's operating system will only run a single application which helps the device to do its job. The heart of electronics system and also coordinator in communication is embedded system managing biometric data from numerous stationary and on body. This simply means that the device's software does not have a user interface (UI). In such cases, an in-circuit emulator (ICE) is temporarily installed between the embedded device and an external computer to debug or update the software. Because embedded systems have limited computing resources and strict power requirements, writing software for embedded devices is very specialized field that requires knowledge of both hardware components and programming. This work describes the design of mobile medical system that can be used to monitor the human temperature and heart beat using a stand-alone microcontroller. The system hardware architecture consists of temperature and heart beat sensors, signal conditioning circuits (SCC), single chip microcontroller, LCD display and GSM modem. An embedded software algorithm acquires temperature, heart beat and pressure, processes, transmits, displays and stores it in the built-in EPROM of the microcontroller.

NFC를 이용한 모바일 응급 의료 시스템 구현에 관한 연구

최근 IT와 BT를 융합한 스마트 헬스케어를 통해 다양한 의료 서비스를 제공하는 연구가 활발하게 진행되고 있다. 짧은 시간에 최상의 응급 의료 서비스를 제공하기 위해서는 응급 상황 발생시 신속한 응급 조치가 필수적이다. 본 논문에서는 NFC 태그를 휴대하거나 NFC 기능을 적용한 스마트폰을 휴대한 사람이 의식을 잃는 사고를 당했을 때 효율적으로 응급 조치를 취할 수 있는 응급 의료 서비스 플랫폼을 제안한다. NFC를 이용하면 일상생활 중에서 낙상과 같은 사고로 의식이 없는 응급 환자에게 신체 접촉 없이 도움을 주는 것이 가능하다. 본 논문에서는 모바일 응급 의료시스템을 구현하여 환자가 스마트폰을 활용하여 응급 상황 발생시 주위 사람들에게 도움을 청하고 응급 조치 정보를 전달할 수 있음을 보였다. Recently the study about a smart health care which is combined IT with BT to provide a variety of health care services are being actively investigated. In order to provide the best possible emergency medical services in a short period of time, it is necessary that the rapid emergency measures in the event of an emergency essential. In this paper, we propose an emergency medical service platform to take effective first aid to person who has a NFC tag or NFC-enabled mobile smart phones in an accident. Using NFC, it is possible to help without physical contact to the patient unconscious to emergency incidents such as falling down in everyday life. In this paper, we design and implement an mobile emergency medical system that can deliver first aid information ask for help in case of emergency.