Remote Medical Monitoring and Cloud-based Internet of Things Healthcare Systems

2019 ◽  
Vol 6 (2) ◽  
pp. 19
2016 ◽  
Vol 12 (1) ◽  
pp. 50 ◽  
Author(s):  
Xiuming Zou

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.


Author(s):  
Ifeoma V. Ngonadi

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.


2014 ◽  
Vol 543-547 ◽  
pp. 3411-3414
Author(s):  
Xu Bing

Key core technologies of IOT (internet of things) have to be addressed to achieve rapid development. This paper focused on studying RFID, wireless sensor network (WSN) and TCCP which were integrated to address the IOT application problems. Meanwhile, an IOT architectural model was established and the IOT applications in real-time medical monitoring, intelligent transportation system (ITS), intelligent appliances and intelligent agriculture were introduced.


Author(s):  
Laura DeNardis

This chapter examines four emerging areas of technological innovation in which digital technologies are becoming embedded into the physical world. The digitization of everyday objects includes consumer Internet of things and connected objects in smart cities. The Internet of self encompasses cyberphysical systems entangled with the body, such as wearable technologies, implantable chips, biometric identification devices, and digital medical monitoring and delivery systems. The industrial Internet of things, sometimes called the “fourth industrial revolution,” involves restructurings of industries and labor around cyber-physical systems. Finally, emergent embedded systems include those embedded objects that are born digital, such as robotics, 3D printing, and arguably augmented reality systems. Understanding these heterogeneous technical architectures, and the technological affordances and characteristics they all share, is necessary for understanding emerging governance debates.


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