Distributed system for monitoring of physiological parameters in Web-based Personal Health Systems (original) (raw)
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The opportunity for cardiac patients to have constantly monitored their health state at home is now possible by means of telemedicine applications. In fact, today, portable and simple-to-use devices allow one to get preliminary domestic diagnoses of the heart status. In this paper, the authors present an original ECG measurement system based on web-service-oriented architecture to monitor the heart health of cardiac patients. The projected device is a smart patient-adaptive system able to provide personalized diagnoses by using personal data and clinical history of the monitored patient. In the presence of a pathology occurrence, the system is able to call the emergency service for assistance. An ECG sensor has the task to acquire, condition, and sample the heart electrical impulses, whereas a personal digital assistant (PDA) performs the diagnosis according to the measurement uncertainty and, in case of a critical situation, calls the medical staff. The system has two removable and updatable memory devices: the first memory device stores the clinical and personal data of the patient, and the second memory device stores information on the metrological status of the measurement system. This way, according to the personal data and historical information of the patient, the measurement system adapts itself by selecting the best fitted ECG model as a reference to configure the computing algorithm. Further information on the measurement uncertainty is used to qualify the reliability of the final clinical response to reduce the occurrence of a faulty diagnosis. Through the PDA graphic interface, the user can display his personal data, observe the graph of his ECG signal, and read diagnosis information with the relative reliability level. Moreover, the patient can choose to print his ECG graph through a Bluetooth printer or to send it to a specialist by a General Packet Radio Service (GPRS) modem.
A web-based approach for electrocardiogram monitoring in the home
International Journal of Medical Informatics, 1999
A Web-based electrocardiogram (ECG) monitoring service in which a longitudinal clinical record is used for management of patients, is described. The Web application is used to collect clinical data from the patient's home. A database on the server acts as a central repository where this clinical information is stored. A Web browser provides access to the patient's records and ECG data. We discuss the technologies used to automate the retrieval and storage of clinical data from a patient database, and the recording and reviewing of clinical measurement data. On the client's Web browser, ActiveX controls embedded in the Web pages provide a link between the various components including the Web server, Web page, the specialised client side ECG review and acquisition software, and the local file system. The ActiveX controls also implement FTP functions to retrieve and submit clinical data to and from the server. An intelligent software agent on the server is activated whenever new ECG data is sent from the home. The agent compares historical data with newly acquired data. Using this method, an optimum patient care strategy can be evaluated, a summarised report along with reminders and suggestions for action is sent to the doctor and patient by email.
Monitoring of patients' vital parameters very often is limited to hospitals or other health care centres, which makes the process time consuming and expensive. Rapid advancement in information and communication technologies offers great opportunities for development of remote monitoring systems, which on one hand, will reduce costs and travel time, and on the other will increase health service efficiency and user satisfaction. The goal of this paper is to propose an e-health system that allows doctors to closely monitor patients' vital parameters, no matter where they are located. Integration of web, mobile and smart TV technology, will provide greater accessibility of patients' data, and will improve patient-doctor communications.
THE USE OF AN ADVANCED MODEL FOR A REMOTE HEALTH TELEMONITORING SYSTEM TO MONITOR ELETROCADIOGRAM SENSOR (ECG), 2024
The wireless sensor networks and IoT (Internet of Things) can be used to monitor and track the conditions of patients in the healthcare sector with the advancement of wireless technologies. Remote Health Telemonitoring System is one of the components of telemedicine capable of monitoring the vital signs of patients in a remote location using IoT platform. The data collected (vital signs) can help medical practitioners to proffer solution to chronically ill patient from anywhere in the world. Telemonitoring of the vital signs of the elderly and chronically ill patients using IoT plaforms is very crucial in helping to save their lives. The manual medical monitoring done in the Nigerian hospitals has a lot of challenges ranging from faulty instruments, negligence of duty on the part of the nurses left to do this monitoring, absence of doctors on call from their offices etc. This thesis makes use of real time readings of the ECG of patients. This system consists of the design of a Physical hardware and software. The hardware part deals with the development of a physical model, the construction design, electrical and electronic circuitry. This model also has the ECG (Eletrocadiogram sensor) that picks the Electrocadiogram value or readings of the patient when connected to the patient's heart. The device uses a TFT LCD screen and it is based on NODEMCU ESP8266 microcontroller. This model has a GUI where the medical practitioner can select whichever readings that will be taken. All this data captured are sent to an IoT platform called the Ubidots IoT platform that will be used. Ubidots which is an Online IoT platform that is specifically used for collection of data sent from the ECG sensor while the patient is wearing the ECG sensor on his or her body. The ECG sensor sends the readings (heart rate) to the Ubidot IoT platform. For the Data security, the IoT platforms will make use of Cloudflare to avoid unauthorized access to the data collected. For data security, the medical practitioner will make use of private channel and the Database used for this model is AWS cloud (Amazon Web server). The medical practitioners can be wherever he or she is, access this data, and proffer health solution to a sick patient. The collected real time health data can be remotely monitored by logging into the IoT platforms using mobile smart devices or a Computer System. For the programming aspect of this work I used C++ and C for the hardware design and for the programming environment I used Arduino IDE.
Implementation Of A Web-Based Wireless Ecg Measuring And Recording System
2015
Measuring the Electrocardiogram (ECG) signal is an essential process for the diagnosis of the heart diseases. The ECG signal has the information of the degree of how much the heart performs its functions. In medical diagnosis and treatment systems, Decision Support Systems processing the ECG signal are being developed for the use of clinicians while medical examination. In this study, a modular wireless ECG (WECG) measuring and recording system using a single board computer and e-Health sensor platform is developed. In this designed modular system, after the ECG signal is taken from the body surface by the electrodes first, it is filtered and converted to digital form. Then, it is recorded to the health database using Wi-Fi communication technology. The real time access of the ECG data is provided through the internet utilizing the developed web interface.
Remote processing server for ECG-based clinical diagnosis support
IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, 2002
In this paper, we present the development of a remote server that provides a user-friendly access to advanced electrocardiographic (ECG) signal processing techniques. The prototype supplies telemedicine facilities to doctors for clinical indexes remote computation to support diagnosis through the Internet. The user-friendly interface is based on the selection of the desired ECG signal processing tools on a Web browser window. The centralized structure of the system permits unique and user-independent update and management of the software and, therefore, is especially suitable for remote or rural regions to have access to the new ECG information techniques.
Web based longitudinal ECG monitoring
1998
A Web based ECG monitoring service in which a longitudinal clinical record is used for management of patients, is described. The Web application is used to collect clinical data from the patient's home. A database server acts as a central repository where this clinical information is stored. A Web browser provides access to the patient's records and clinical data. An intelligent software agent on the Web server is activated whenever new patient data is collected remotely from the home. The agent compares historical data with newly acquired data. Using this method, an optimum patient care strategy can be evaluated, with reminders and suggestions for action sent to the doctor and patient by email.
ECG Web Services for Patient Health Monitoring in Internet of Things
International journal of computer applications, 2016
Now a day people are facing many health related problems. There is large amount of data that is not structured. The gathered information is raw and unstructured in the nature, so there is a need of converting it to meaningful services. In this paper such system is developed which will provide web service that will be available to any other person easily. Every person should get the healthcare services anywhere, every time even at their home also. For this purpose a platform is developed so that patient specially senior citizens can know their electro Cardiogram (ECG) or also can be said as heart rate, oxygen rate, temperature rate, through an android mobile application specially developed for the healthcare. This overall concept is developed under the Internet of Things as well as cloud computing environment. App which is developed named as 'Patient Health Monitoring'. This paper gives an idea about Adriano kit which used in the project. This paper also gives an idea about the sensors which are used to measure above mentioned measures. A Bluetooth sensors is also used here for the connectivity. Server will be any network connection such as Wi-Fi.