Remote Medical Monitoring System Research Articles

Design of Agent-Based Embedded Family Remote Medical Monitoring System

Under the strategic background of the Internet and big data, the technical means of telemedicine show strong advantages in the consultation and treatment of various acute and chronic diseases so that the majority of patients can enjoy high-quality medical resources and save unnecessary costs. The resulting medical management decision-making has also become a research topic widely concerned by experts and scholars in relevant fields at home and abroad. In this article, the multiagent optimization decision-making problem in telemedicine has not formed a systematic research system, and there is a lack of corresponding decision-making analysis methods. In view of this, based on the optimal decision theory and decision-making method in telemedicine, this article focuses on the preferences and behavior strategies of participants in the context of telemedicine and makes a phased and in-depth foundation for management and the decision-making of each link of telemedicine. Theoretical research and specific decision analysis methods have certain theoretical and practical significance. The design ideas and implementation process of the acquisition converter and client software are introduced in detail. In order to support the system with good scalability and maintainability, not only is a communication plug-in designed above the transmission layer, but also a transcoding plug-in is designed to support the protocol conversion of medical equipment. The design idea and implementation process of acquisition converter and client software are introduced in detail.

RETRACTED ARTICLE: Application of wireless sensor network in remote medical monitoring system

In today's social development system, people have begun to pursue more and more physical health and quality of life materials under the wave of economic development. In people's daily work and study life, medical and health care services are an important part of people's physical health. People need to ensure their physical and mental health to improve their quality of life. In many areas, the development level of medical technology is not very high, but information technology and computer network technology have brought people a new development model. The development of telemedicine has solved the problem of backward medical technology in remote areas and created more for people. Safe medical environment. In the context of the development of the new era, the development of wireless sensor technology has gradually enriched the construction of the telemedicine system. This article analyzes the relevant principles of wireless sensor network connection to study and design a system that can realize remote medical control and monitoring. To design a new medical monitoring system, you need to apply sensor technology and wireless sensor network technology. This article studies the specific conditions of these two technologies, and confirms the reliability of the new system in daily life through actual analysis.

AWS and IoT for real-time remote medical monitoring

Remote medical care services based on IT are becoming increasingly present in health systems and will play a fundamental role in the future to address the lack of human and material resources, and to cope with the significant increase in demand for healthcare, especially from the elderly. In this paper we present the architecture of a remote and real-time medical monitoring system, based on cloud computing and IoT. We show through a benchmarking study covering the aspects of performance, functionality and cost that cloud computing services from Amazon (AWS) are the most appropriate for this application amount other considered cloud providers. All items necessary for the implementation of the solution have been designated and their role in the system has been well explained.

Retracted: Intelligent medical IoT system based on WSN with computer vision platforms

SummaryWith the development of wireless transmission technology, wireless sensor network technology has been widely used in various fields of the society. This paper introduces the wireless sensor network into the medical care systems, we put forward a medical image based on wireless sensor network system. It can transmit the patient's physiological parameters and image data to the medical monitoring base station through the communication network, so that the patient's pathological development can be tracked dynamically, so as to ensure timely diagnosis and treatment. Based on the theory of wireless sensor network, current situation and trend in China's medical care, we described the application of wireless sensor network technology in the remote medical monitoring system, broaden the ideas for the application of wireless sensor network in the remote medical monitoring system. The difficulty of wireless sensor network is the design of network architecture, operation system with the communication protocol and application software. Our proposed framework can deal with the challenges with satisfactory results. The proposed methodology is compared with the other latest methodologies to test the overall performance of the model.

Application of IoT-based medical diagnosis and treatment in patients with obstructive sleep apnea/hypopnea syndrome in primary hospitals: A preliminary study

Objective: To conduct a preliminary study of the hierarchical diagnosis and treatment of patients with obstructive sleep apnea/hypopnea syndrome (OSAHS) using the Internet of Things (IoT) medical technology and to explore the feasibility of the hierarchical diagnosis, treatment, and management of OSAHS patients using IoT medicine in primary hospitals. Methods: The IoT technology and a remote medical monitoring system were used to observe and compare the respiratory and sleep parameters before and after a three-month intervention in 47 patients with OSAHS who met the diagnostic criteria and were selected in the Kashgar region. All parameters were compared based on the severity (mild, moderate, and severe) of OSAHS. Results: The Epworth Sleepiness Scale (ESS) score, apnea–hypopnea index (AHI), and nighttime minimum oxygen saturation (lowest SaO2min) improved in patients with OSAHS from before to after treatment ([Formula: see text]). The improvements were more profound in OSAHS patients with cardiovascular disease such as hypertension. Conclusion: The IoT medical technology can help to hierarchically diagnose, treat, and manage patients with OSAHS. It is feasible for primary hospitals in rural regions to use the IoT technology for the hierarchical diagnosis and treatment of OSAHS patients.

Implementing Internet of Things in a Remote Patient Medical Monitoring System

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Remote patient monitoring enables the monitoring of patients’ vital signs outside the conventional clinical settings which may increase access to care and decrease healthcare delivery costs. This paper focuses on implementing internet of things in a remote patient medical monitoring system. This was achieved by writing two computer applications in java in which one simulates a mobile phone called the Intelligent Personal Digital Assistant (IPDA) which uses a data structure that includes age, smoking habits and alcohol intake to simulate readings for blood pressure, pulse rate and mean arterial pressure continuously every twenty five which it sends to the server. The second java application protects the patients’ medical records as they travel through the networks by employing a symmetric key encryption algorithm which encrypts the patients’ medical records as they are generated and can only be decrypted in the server only by authorized personnel. The result of this research work is the implementation of internet of things in a remote patient medical monitoring system where patients’ vital signs are generated and transferred to the server continuously without human intervention.

Design of a prototype remote medical monitoring system for measuring blood pressure and glucose measurement

Design of a prototype remote medical monitoring system for measuring blood pressure and glucose measurement

Design of a prototype remote medical monitoring system for measuring blood pressure and glucose measurement

Objectives: This article describes the development of two prototypes supported in the e-Health Sensor Shield V2.0 Arduino low as processing architecture, in order to manage and monitor physiological parameters related to the prevention of Chronic Noncommunicable Diseases (NCDs) is presented. Methodology: The introduction of Information Technology and Communications (ICT) in the health sector have fostered the creation of new approaches that encompass related to prevention, care, management and health education, offering alternatives to address traditional problems activities. Findings: The ultimate purpose of the system is to encourage user self-care culture and healthy lifestyles as obesity, hypertension and diabetes are now considered as a focus of health programs. Application/Improvements: Prototypes allow the capture, analysis, processing and remote transmission via internet biometric data (glucose and blood pressure) that can be accessed from any device. Keywords: Arduino, Diabetes, e-Health, Hypertension, Telemedicine, NCCD

Application of Android Mobile Platform in Remote Medical Monitoring System

Application of Android Mobile Platform in Remote Medical Monitoring System

Deploying the Queueing Model in the Remote Patient Medical Monitoring System

A queueing system can be described as patients arriving for service, waiting for service if it is not immediate, utilizing the service and leaving the system after being served. The queueing model is constructed so that queue lengths and waiting time can be predicted.Remote patient monitoring enables the monitoring of patients’ vital signs outside the conventional clinical settings which may increase access to care and decrease healthcare delivery costs. This paper focuses on applying the queueing model to the remote patient medical monitoring system. This was achieved by writing a java program which adapts an M/M/1queueing model that employs the first come first serve discipline to store the patients’ medical records generated by a simulated mobile phone called the Intelligent Personal Digital Assistant according to when they arrive at the queue. The queueing model gives the summary of the total number of readings generated for each patient and also plots a graph so that the doctor can see the progression of each patient’s readings at a glance. The result of this research work produces an enhanced remote patient medical monitoring system which has the capacity to save lives.

Remote Medical Monitoring System in Wireless Sensor Networks

In order to solve the problem of monitoring remote medical care to identify good medical services, a medical service recommendation system based on privacy-preserved reputation scoring is designed. This system enables medical service users to get a reputation score of a Medical Service Provider before engaging in any services. The experiment results show that the proposed scheme is significantly more efficient in batch verification of digital signatures, making it a suitable practical solution to Mobile Health Care applications, while the third solution shows that the system is able to provide reputation scores as well as recommendation while preserving privacy as desired.

Prototype Design of a Remote Medical Monitoring System Based on the Internet of Things

Because the remote medical monitoring system is high distributed, limited to node energy and having a large quantity of process and transmission information, this paper proposes a kind of remote medical monitoring system based on the technology of internet of things and combines the mobile Agent. Ten patients (5 male and 5 female, the age of 18~69 and the average age of 41.8) were given clinical test with this system. It shows the architectural model of the system which consists of wireless sensor nodes, relay nodes, remote monitoring center, etc. To collect the patients’ physiological data, the remote monitoring center in hospital will issue the mobile Agent and run it in the wireless sensor node. After processing the mobile Agent, the center will send it to the relay node, and then send it back to the hospital remote monitoring center through the Internet of things to do comprehensive diagnosis and make decisions. The paper has completed the software and hardware designing and debugging of the each module of system. The result shows that the system is able to monitor the health status of patients who live in different communities in the long term and in time. Further more, the system can achieve optimal utilization of medical resources.

Application of Android Mobile Platform in Remote Medical Monitoring System

Application of Android Mobile Platform in Remote Medical Monitoring System

A Falling Detection System with wireless sensor for the Elderly People Based on Ergnomics

Fall detection is an important problem in the application research of wireless sensor. The paper presents wireless sensor architecture based human falling detection system especially for elderly people. The falling detection system is implemented using 3-axis acceleration sensor to measures and collects the elderly people activities acceleration and transfer data by zigbee-3G network to remote medical monitoring system platform, which makes a preprocessing method that suspected data is acquired based on one -class SVM classification algorithm. The algorithm analyzed different action which expended different threshold ranges of energy to judgment, and then analyzed the special temporal speed, displacement and angle as an auxiliary criterion for judgment. The experiments show that the application can offer a new guarantee for the elderly health.

Patient monitoring in mobile health: opportunities and challenges.

ABSTRACTBackground:In most countries chronic diseases lead to high health care costs and reduced productivity of people in society. The best way to reduce costs of health sector and increase the empowerment of people is prevention of chronic diseases and appropriate health activities management through monitoring of patients. To enjoy the full benefits of E-health, making use of methods and modern technologies is very important.Methods:this literature review articles were searched with keywords like Patient monitoring, Mobile Health, and Chronic Disease in Science Direct, Google Scholar and Pub Med databases without regard to the year of publications.Results:Applying remote medical diagnosis and monitoring system based on mobile health systems can help significantly to reduce health care costs, correct performance management particularly in chronic disease management. Also some challenges are in patient monitoring in general and specific aspects like threats to confidentiality and privacy, technology acceptance in general and lack of system interoperability with electronic health records and other IT tools, decrease in face to face communication between doctor and patient, sudden interruptions of telecommunication networks, and device and sensor type in specific aspect.Conclusions:It is obvious identifying the opportunities and challenges of mobile technology and reducing barriers, strengthening the positive points will have a significant role in the appropriate planning and promoting the achievements of the health care systems based on mobile and helps to design a roadmap for improvement of mobile health.

Graphical User Interface for a Remote Medical Monitoring System: U.S. Army Medic Recommendations

We obtained recommendations for a graphical user interface (GUI) design for a new medical monitoring system. Data were obtained from 26 combat-experienced medics. Volunteers were briefed on the medical monitoring system. They then completed a questionnaire on background medical treatment experience, provided drawings on how and what information should be displayed on the GUI screens for use on a personal digital assistant, and participated in focus group sessions with four to seven medics per group to obtain group consensus on what information the GUI screens should contain. Detailed displays on seven screens provide the medical and situational awareness information medics need for triage decisions and for early processing of a casualty. The created GUI screens are a combination of object-based and text-based information using a color-coded system. Medics believed the information displayed with these GUI designs would improve treatment of casualties on the battlefield.

Wireless and Web-based medical monitoring in the home.

A remote medical monitoring system is described, which continuously monitors patients' state of health. The system uses the services provided by intranets and the Internet to allow remote supervision of patients, who may be domiciled in their own home. A hardware/software prototype system has been constructed to demonstrate the use of non-invasive and minimally intrusive sensors attached to patients. Continuous real-time data is acquired, stored and processed. A wireless system or wires connect these monitor devices to the World Wide Web and, on request, information is delivered to authorized medical staff via a web browser or Wireless Application Protocol-enabled mobile telephones. Medical staff may examine real-time data or graphical information and make comparisons with historical data. Parameters may be set to select and control the data acquisition devices. The potential exists for augmentation of patient health by development of novel sensors and low-power electronic circuitry, and this research continues.