Implementing Internet of Things in a Remote Patient Medical Monitoring System

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.

This research work aims to create awareness and monitor the breath rate of a neonate using the air flow sensors and to reduce the number of infants’ death. It is designed based on the Arduino which is open-source electronics platform for hardware and software use. This prototype is developed for reliable and efficient baby monitoring system and play as infant care and monitoring system.A cardio respiratory system is used to monitor the infant’s heart rate, rhythm, breathing rate and other relevant and useful medical information using Electro Cardio Graph (ECG) and other IoT (Internet of Things) devices.This research work proved that the respiration monitoring system for infants can be implemented at low cost and also can prevent the respiration failure deaths.


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):  
Osman Yakubu ◽  
Emmanuel Wireko

The advent of the internet of things (IoT) has resulted in an upsurge in the deployment of digital health care systems enabling patients’ health conditions to be remotely monitored. This article presents an intelligent and automated IoT-based vital signs monitoring system to aid in patient care. A the oretical framework was established to guide the development of a prototype. It encompasses the patient, IoT sensors, input and storage unit and data processing, analysis and data transmission. The prototype is equipped with the capability of sensing a patient’s body temperature, heart rate, and respiration rate in real time and transmits the data to a cloud data repository for storage and analysis. Alerts are sent to caregivers using SMS, email and voice calls where urgent attention is required for the patient. The voice call isto ensure a caregiver does not miss the alert since SMS and email may not be checked on time. To ensure privacy of patients, a caregiver has to be biometrically verified by either fingerprint or facial pattern. The experimental results confirmed the accuracy of the data gathered by the prototype, privacy of patients is also guaranteed compared to other benchmark systems.


Author(s):  
Valan Abisha J ◽  
Abisha C ◽  
Abirami S ◽  
Reziga Susia J.

For a medical treatment with IoT-based facilities, physicians always have to pay much more attentions to the raw medical records of target patients instead of directly making medical advice, conclusions or diagnosis from their experiences. Because the medical records in IoT-based hospital information system (HIS) are dispersedly obtained from distributed devices such as tablet computer, personal digital assistant, automated analyzer, and other medical devices, they are raw, simple, weak-content, and massive. Such medical records cannot be used for further analyzing and decision supporting due to that they are collected in a weak-semantic manner. In this paper, we propose a novel approach to enrich IoT-based medical records by linking them with the knowledge in linked open data. A case study is conducted on a real-world IoT-based HIS system in association with our approach, the experimental results show that medical records in the local HIS system are significantly enriched and useful for healthcare analysis and decision making, and further demonstrate the feasibility and effectiveness of our approach for knowledge accessing.


2013 ◽  
Vol 303-306 ◽  
pp. 2153-2156 ◽  
Author(s):  
Jian Ming Huang

With the coming of aging society, a lot of old people choose to spend their old age in nursing home. Some old men are dementia, disability or long-term illness, this is a new challenge to nursing home management. This paper presents an intelligent management system solution of nursing home based on Internet of things; nursing staff can monitor the old man's whereabouts in 24 hours, to protect the safety of the old man. For the sick old man, use a variety of sensors for real-time vital signs data acquisition to realize medical monitoring, and transfer data to central hospital for diagnosis and monitoring by doctors.


2014 ◽  
Vol 989-994 ◽  
pp. 1103-1106
Author(s):  
Fei Wu ◽  
Hong Wang

Current traditional physiological monitoring is accomplished by individual cardiogram monitor device attached to each patient’s bed. A nurse will have to frequently monitor the vital signs at patient’s bedside, which is inefficient and time consuming. Although some hospitals have deployed the central monitoring system, it still has space limit to the nurses and high cost. Our research work is to develop a mobile nurse information system with efficient physiological monitoring for patient based on iPad. Patient’s real-time physiological signals captured by the physiological monitoring system are integrated to the mobile nurse information system. Nurses could get just-in-time access to the data of the physiological monitoring system at anywhere through the clinical use of the mobile nurse information system. Trial version in our hospital showed that the system is feasible and efficient enough to apply in clinical settings.


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