INTRODUCTION
Computer Science Phd Programs. The Internet of Things (IoT) is the next paradigm shift, where sensors are connected to the Internet, which collect data for analysis to make our planet more instrumented, interconnected and intelligent. A typical person carries on average one or two mobile devices nowadays. Hence, by leveraging the increasing presence of mobile devices the cost of equipment can be reduced significantly in many industries.
A. Motivation
The ECG iOS application presented in this paper focuses on the health care domain of IoT. With the advancements in embedded information and communication technologies, we can provide intensified healthcare support of senior citizens at homes and retirement homes. Computer Science Phd Programs. This type of technology would be helpful to be providing ECG monitoring facility to senior citizens, athletes and common people. By providing the facility to use these technologies in the home, citizens would be able to live independently for a longer period of time, helping to reduce costs of medical equipment Healthcare is currently facing the challenge of large amount of data that is unstructured, diverse and growing at an exponential rate. Data is constantly streamed through sensors, monitors and instruments in real time that is faster than the medical personnel can keep up with. The advanced techniques and high capacities of cloud computing, processing of a large amount of data can be performed more efficiently support big data analytics.
B. Problem statement
B. Problem statement
In the healthcare domain of IoT, patients will not have to make as many trips to the doctor anymore, since they can upload the collected data from the sensors to the cloud. This can be achieved for an ECG monitoring application on the mobile device, which will collect the bio-signal data using sensors and then upload to the cloud for keeping a record of the unstructured data. This will reduce the waiting time for the triage at the hospitals and minimize visits and reducing the cost of personnel and administrative operations. This convenience increases the quality of life for the patients as they can enjoy other activities instead of spending time commuting to the hospital/clinic and waiting in long triage queues.
C. Proposed solution
In addition to medical knowledge, various SSE Technologies are involved in IoT based healthcare applications, including microcontroller and sensor technologies, signal processing, communication protocols, system and software design (using well documented design patterns), DBMS, web services, data analysis, and cloud techniques. Such an infrastructure should not only satisfy the basic functional requirements, but also address some key non-functional quality requirements, such as Performance, privacy/security, portability, scalability, flexibility, and cost. Using the idea of IoT and cloud techniques, this paper presents a solution to use an ADC and microcontroller board, which obtains the bio-signal data from a person using sensors and sends it to the mobile device wirelessly using Bluetooth technology. When monitoring the ECG of the patient, the monitored data associated with the ECG waves being displayed on the mobile app is stored in the form of a binary file on the secure digital (SD) card of the device and the user has the ability to upload it to a structured query language (SQL) Server private database. With the proper hardware components like the ADC and microcontroller and the sensors, the solution can monitor the ECG of a person in any environment at low costs, without having to purchase any costly ECG monitoring devices. Computer Science Phd Programs.
DESIGN AND IMPLEMENTATIO
DESIGN AND IMPLEMENTATIO
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