Fog-Internet of things-assisted multi-sensor intelligent monitoring model to analyse the physical health condition

2021 ◽  
pp. 1-19
Author(s):  
Fen Li ◽  
Achyut Shankar ◽  
B. Santhosh Kumar
Keyword(s):  
Internet Of Things ◽  
Physical Health ◽  
Low Cost ◽  
Health Sector ◽  
Health Condition ◽  
Intelligent Monitoring ◽  
Monitoring Model ◽  
Healthcare Monitoring ◽  
Remote Patient ◽  
Experimental Findings

BACKGROUND: Internet of Things (IoT) technology provides a tremendous and structured solution to tackle service deliverance aspects of healthcare in terms of mobile health and remote patient tracking. In medicine observation applications, IoT and cloud computing serves as an assistant in the health sector and plays an incredibly significant role. Health professionals and technicians have built an excellent platform for people with various illnesses, leveraging principles of wearable technology, wireless channels, and other remote devices for low-cost healthcare monitoring. OBJECTIVE: This paper proposed the Fog-IoT-assisted multisensor intelligent monitoring model (FIoT-MIMM) for analyzing the patient’s physical health condition. METHOD: The proposed system uses a multisensor device for collecting biometric and medical observing data. The main point is to continually generate emergency alerts on mobile phones from the fog system to users. For the precautionary steps and suggestions for patients’ health, a fog layer’s temporal information is used. RESULTS: Experimental findings show that the proposed FIoT-MIMM model has less response time and high accuracy in determining a patient’s condition than other existing methods. Furthermore, decision making based on real-time healthcare information further improves the utility of the suggested model.

Internet of things-assisted intelligent monitoring model to analyze the physical health condition

2021 ◽  
pp. 1-15
Author(s):  
Xiaowei Tang ◽  
Fang Li ◽  
Tamizharasi G. Seetharam ◽  
C. Chandru Vignesh
Keyword(s):  
Internet Of Things ◽  
Physical Health ◽  
Health Monitoring ◽  
Well Being ◽  
Health Condition ◽  
False Alarms ◽  
Health Staff ◽  
Potential Health ◽  
Intelligent Monitoring ◽  
Monitoring Model

BACKGROUND: Physical health monitoring may take several forms, from individual quality changes to complex health checks carried out by health staff. Present health issues are detected with monitoring, and potential health problems are expected. Wearable sensors provide users with ease in everyday tracking, although many issues must be addressed in such sensor systems. The devices take a long time to obtain the requisite detection and diagnostic expertise and produce false alarms. OBJECTIVE: In this paper, the Internet of Things-assisted Health Condition Monitoring system (IoT-HCMS) has been proposed to track and analyze the patient physical health condition. METHOD: The proposed IoT-HCMS utilizes the intelligent monitoring model to follow the patient physical health day by day activities and instantaneously generate the health records. The system will indeed support patients in tracking psychological signs to minimize risks to their well-being. RESULTS: The experimental results show that the IoT-HCMS improves accuracy in patient health monitoring and has less response time.

Internet of things-assisted intelligent monitoring model to analyse the physical health condition

2021 ◽  
pp. 1-14
Author(s):  
Liang Zhuang ◽  
Awais Khan Jumani ◽  
Asma Sbeih
Keyword(s):  
Internet Of Things ◽  
Early Stage ◽  
Healthcare Services ◽  
Health Condition ◽  
Specific Aspect ◽  
Intelligent Monitoring ◽  
Healthcare Facilities ◽  
Monitoring Model ◽  
Smart Healthcare ◽  
Patient Health

BACKGROUND: Nowadays, smart healthcare minimizes medical facilities costs, ease staff burden, achieve unified control of materials and records, and enhance patients’ medical experience. Smart healthcare treatments have critical barriers to improving patient outcomes, reducing the regulatory burden, and promoting the transition from volume to benefit. OBJECTIVE: In this paper, the Internet of Things-assisted Intelligent Monitoring Model (IoT-IMM) has been proposed to improve patient health and maintain health records. METHOD: The advanced IoT sensors can monitor patient health and insert into the patients’ bodies. Information collected can be analyzed, aggregated, and mined to predict diseases at an early stage. For that, an enhanced deep learning network using Bayes theorem (EDLN-BT) benefits to obtain and verify various patient health data in a specific aspect, making it easy to supervise the patient’s activities. RESULTS: The IoT-IMM-based EDLN-BT results show the smart health care monitoring has undergone substantial growth, improving patient satisfaction for the quality of the healthcare services offered in hospitals and many other healthcare facilities. It helps predict health diseases with increased accuracy, prediction rate with minimal residual error delay, and energy consumption.

A new machine learning-based healthcare monitoring model for student’s condition diagnosis in Internet of Things environment

2020 ◽  
Vol 24 (22) ◽  
pp. 17111-17121 ◽  
Author(s):  
Alireza Souri ◽  
Marwan Yassin Ghafour ◽  
Aram Mahmood Ahmed ◽  
Fatemeh Safara ◽  
Ali Yamini ◽  
...  
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Monitoring Model ◽  
Internet Of Things Environment ◽  
Healthcare Monitoring ◽  
Condition Diagnosis ◽  
New Machine

scholarly journals Internet of things in healthcare monitoring to enhance acquisition performance of respiratory disorder sensors

2019 ◽  
Vol 15 (5) ◽  
pp. 155014771984712 ◽  
Author(s):  
Leonardo Juan Ramírez López ◽  
Arturo Rodriguez Garcia ◽  
Gabriel Puerta Aponte
Keyword(s):  
Heart Rate ◽  
Internet Of Things ◽  
Oxygen Saturation ◽  
Low Cost ◽  
Respiratory Disorder ◽  
Sensors And Actuators ◽  
Efficient Performance ◽  
Proposed Model ◽  
Healthcare Monitoring ◽  
Mean Differences

The implementation of the Internet of things in healthcare is a promising challenge to achieve coverage for a bigger number of users in different places at lower costs. Internet of things might mean better technology regarding response time and proper control of medical parameters. This study introduces an Internet-of-things system for healthcare with possibilities to control medical variables according to recent breakthroughs in sensors and data processing. The goal of the system is to optimize the development of applications to obtain variables in real time and with less energy consumption. The proposed model is validated on the measurement and monitoring of oxygen saturation, heart rate, and body temperature in patients with respiratory disorders. This was achieved by the optimization of data acquisition, integrated into a secure architecture using Message Queuing Telemetry Transport protocol. A cloud architecture with interconnection to low-cost and open-source devices was implemented, which interconnect to the sensors and actuators’ network. The experimental results were statistically treated against the device pattern data, through hypothesis tests for mean differences to probe the accuracy of the model. Finally, the proposed model demonstrates an efficient performance in several clinical parameters, such as oxygen saturation and heart rate per minute.

scholarly journals Low Cost Ecg Monitoring using Internet of Things

2019 ◽  
Vol 8 (3) ◽  
pp. 351-354
Keyword(s):  
Heart Rate ◽  
Internet Of Things ◽  
Remote Monitoring ◽  
Patient Monitoring ◽  
Low Cost ◽  
Health Condition ◽  
The Internet ◽  
Ecg Monitoring ◽  
Heart Patients ◽  
Rate Sensor

Patient monitoring is the heart of the health care domain in day to day life either at home or at hospital. This paper focuses an Intelligent ECG Monitoring System to monitor the heart patients residing at distant places at low cost and complexity using Internet of Things. The proposed system automatically screens the health condition of the patient and records their Electrocardiogram through heart rate sensor and ATtiny Board. ATtiny is a low cost IoT device used along with heart rate sensor and ESP8266 to record the electrocardiogram of the patients. The ECG is sent to the doctors, nurses or the patient’s relatives residing in the remote places through the internet to help them in remote monitoring of the patients with ease.

scholarly journals Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
G. Coulby ◽  
A. Clear ◽  
O. Jones ◽  
F. Young ◽  
S. Stuart ◽  
...  
Keyword(s):  
Experimental Design ◽  
Internet Of Things ◽  
Environmental Analysis ◽  
State Of The Art ◽  
Low Cost ◽  
Healthcare Research ◽  
Free Living ◽  
Remote Healthcare ◽  
Healthcare Monitoring ◽  
The Cost

Abstract Healthcare studies are moving toward individualised measurement. There is need to move beyond supervised assessments in the laboratory/clinic. Longitudinal free-living assessment can provide a wealth of information on patient pathology and habitual behaviour, but cost and complexity of equipment have typically been a barrier. Lack of supervised conditions within free-living assessment means there is need to augment these studies with environmental analysis to provide context to individual measurements. This paper reviews low-cost and accessible Internet of Things (IoT) technologies with the aim of informing biomedical engineers of possibilities, workflows and limitations they present. In doing so, we evidence their use within healthcare research through literature and experimentation. As hardware becomes more affordable and feature rich, the cost of data magnifies. This can be limiting for biomedical engineers exploring low-cost solutions as data costs can make IoT approaches unscalable. IoT technologies can be exploited by biomedical engineers, but more research is needed before these technologies can become commonplace for clinicians and healthcare practitioners. It is hoped that the insights provided by this paper will better equip biomedical engineers to lead and monitor multi-disciplinary research investigations.

System of Environment Monitoring Based on Internet of Things

2014 ◽  
Vol 998-999 ◽  
pp. 664-667
Author(s):  
Xu Qin
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
The Self ◽  
Environment Monitoring ◽  
Practical Application ◽  
Time Data ◽  
Intelligent Monitoring ◽  
Wireless Location ◽  
Network Nodes ◽  
The Internet Of Things

For the problems of the environment, it is important to monitor and manage the environment. The system of environment monitoring based on the Internet of Things (IoT) technology is proposed, which meets the need of the practical application. The central discussion is about the application of the self-organization mechanisms of networks and the wireless location technology. The system is composing of network nodes including the sensors, the wireless acquisition, the wireless coordinator and the information managing software. The self-facture nodes implement the standard of the zigbee settlement for its strongpoint of the low power consumption and the low cost. The results show that the system of environment monitoring has good performance such as the real-time data collection, the wireless transmission and the intelligent monitoring, so the system is feasible to the practical application.

IoT based e-Healthcare System to Enable Remote Patient Care based on Cloud Server

2017 ◽  
Vol 7 (7) ◽  
pp. 36
Author(s):  
P.Venu Gopala Rao ◽  
Eslavath Raja ◽  
Ramakrishna Gandi ◽  
G. Ravi Kumar
Keyword(s):  
Low Cost ◽  
Vital Signs ◽  
Smart Phone ◽  
Medical Professional ◽  
Design Parameters ◽  
Cloud Server ◽  
Significant Area ◽  
Efficient Data ◽  
System Data ◽  
Remote Patient

IoT (Internet of Things) has become most significant area of research to design an efficient data enabled services with the help of sensors. In this paper, a low-cost system design for e-healthcare service to process the sensitive health data is presented. Vital signs of the human body are measured from the patient location and shared with a registered medical professional for consultation. Temperature and heart rate are the major signals obtained from a patient for the initial build of the system. Data is sent to a cloud server where processing and analysis is provided for the medical professional to analyze. Secure transmission and dissemination of data through the cloud server is provided with an authentication system and the patient could be able to track his data through a smart phone on connecting to the cloud server. A prototype of the system along with its design parameters has been discussed.

Implementing Internet of Things in a Remote Patient Medical Monitoring System

2018 ◽  
Vol 6 (8) ◽  
pp. 159 ◽  
Author(s):  
Ifeoma V. Ngonadi
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Medical Records ◽  
Research Work ◽  
Healthcare Delivery ◽  
Vital Signs ◽  
Personal Digital Assistant ◽  
Computer Applications ◽  
Medical Monitoring ◽  
Remote Patient

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.

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