Using Remote Patient Monitoring Mobile and Cloud Computing

Introduction

The Internet of Things (IoT) is a new paradigm where the sensors are connected to the Internet to collect data for analysis, that our planet is more instrumented, interconnected and intelligent. A typical person carries an average of one or two mobile devices today. Therefore, taking advantage of the growing presence of mobile devices in the equipment cost can be significantly reduced in many industries.

A. Motivation

The ECG iOS application presented in this thesis in the field of health, the Internet of Things. The development of embedded information and communication technologies, we can provide enhanced support for nursing home health care and retirement homes. This type of technology would be useful to provide ECG monitoring option elderly, athletes and ordinary people. By providing the facility to these technologies in the home, would citizens be able to live independently for a longer period of time, helping to reduce the cost of medical equipment Healthcare is currently facing the challenge of large amounts of data to a structured, diverse and growing increases exponentially. The data is constantly streamed through sensors, monitors and devices in real-time that is faster than the medical staff can keep up. The advanced technology and high capacity of cloud computing, processing large amounts of data can be performed more efficiently to support high data analysis.
B. Problem Statement

Internet of Things area of ​​healthcare, patients should not be taken as a trip to the doctor a lot longer because you can upload the collected data from the sensors to the cloud. This can be achieved by an ECG monitoring application on the mobile device that collects bio-signal data using sensors and then upload it to the cloud to write down the unstructured data. This reduces the waiting time to prioritize and minimize visits to hospitals and reduce the cost of personnel and administrative operations. This convenience increases the quality of life of patients enjoy the time spent on other activities instead of commuting to the hospital / clinic and waiting in long lines classifications.

C. Suggested solutions

In addition to medical knowledge, a variety of SSE Technologies is involved in the Internet of Things applications based health including microcontroller and sensor technologies, signal processing, communication protocols, system and software design (a well-documented design patterns), database management systems, web services, data analysis, and cloud technologies. Such an infrastructure not only to meet the basic functional requirements, but also address some of the key non-functional quality requirements, such as performance, privacy / security, portability, scalability, flexibility and cost. The idea that the Internet of Things and cloud technology, this book presents the solution is to use a microcontroller with ADC and motherboard, which will acquire the bio-signal data from the sensors and sends the person using a mobile device with Bluetooth technology. During Tracing ECG of the patient, the monitored data associated with ECG waves are displayed is stored in the form of a mobile application is a binary file to the Secure Digital (SD) card into the device and the user is able to upload it is a structured query language (SQL) server has its own database. The appropriate hardware components such as ADC and the microcontroller and sensors, the solution monitors the ECG of a person in any environment at low cost, without having to buy any expensive ECG monitoring devices.
DESIGN AND IMPLEMENTATION

A Mobile-based health care provider:

Mobile devices are evolving at a rapid pace in the deployment of health services. Our system is based primarily on the real-time, long-term health care, catering to the demand for assisted living and health fitness information provider. Thus, the deployment of mobile devices, mobile health care system is focused on a number of important characteristics of the medical health care system.

communication between B mobile device and Web server

used Bluetooth data transfer in the system, because the Bluetooth option is available in a variety of smart devices, including portable tablet PCs, laptops, personal computers, and more smart TVs. Conceptual; Bluetooth is an open wireless protocol in the 2.4 GHz band designed for a medium data rate that averages around 2 Mbps.

C. Web Server Cloud Healthcare Services

A web server cloud computing healthcare system provides instant access to the health tracking system wherever possible. The ECG data is displayed in real time on your mobile device. In order to ensure smooth and continuous health tracking system, the Web server cloud computing system to build the health service

A. System Architecture

The end-to-end system architecture for on the basis of Internet of Things in the framework project the hardware, the mobile application and a cloud. The application is divided into three sub layers are named as follows:
Service Layer, and the Application Layer Platform File Transfer and writing film shows how the multi-layer structure of the system interact with each other. The hardware layer includes the ADC, microcontroller and sensors that will collect the bio-signal data and transmitting the data to the Bluetooth channel the microcontroller, the application layer of an iOS device. The application layer is the layer comprises three sub layers. The service layer to the application layer melting layer which interacts with the hardware layer. The ECG service is present in the service layer, which is responsible for the retrieval of a biological signal data of the hardware layer and storing the data within the ECG buffer model that performs the writing of data.

B. analog-to-digital converter

1) Features:
i. Each interface can be easily Microprocessors.
ii. Works Ratiometrically or 5 VDC or digital converter, 8-channel multiplexer and analog voltage reference Adjusted Span

button 2) specification:
i. Resolution: 8 bit
ii. Single Supply: 5 VDC
iii. Low Power: 15 mW
iv. Conversion time: 100 mikrosec

C. Bluetooth module

1) Features:
i. Fully qualified Bluetooth 2.1 / 2.0 / 1.2 / 1.1 module
ii. Low power consumption (26uA sleep, connected to 3 mA, 30mA transmit)

2) Applications:

i. Measurement and monitoring systems
ii. Industrial sensors and controls
iii. Medical devices
iv. Computer Accessories
D. Cloud Research and Analysis

The data in one central location rather than distributed in different locations from each other to ensure the feasibility and higher data security. Because it is an ethical requirement to protect the health of critical data for each & # 39; bio signals, so the centralized architectural design pattern is selected, the ECG iOS app. Our architectural design, the data to check the patient will be stored in one central location, which must be separated with a unique ID to identify the data from different individuals since all data stored in one place, it will be easy to query the database and data analysis for the combined data . The following are some advantages and disadvantages of a centralized architecture design pattern

3) Benefits:

i. The data can be easily placed on a server.
ii. There is an efficient use of space to store your data in the cloud.
iii. All related data are kept together.
iv. Avoid redundancy.
v. This is a single service for all users.
vii. Data security has improved compared to a decentralized system of

5) algorithm

1. Start
2. Read focuses on electrical activity of the human body sensors.
3. Pass signal ADC
4. Convert the binary file
5. Binary file transferred microcontroller
6 via Bluetooth file transfer device iOS
7. File Upload a private cloud
8 persons eligible patients will be followed-up data.
9. Stop

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Source by Peeyush Goyal

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