Human Health Monitoring System over Internet in Wireless Body Area Networks

Aims: Health monitoring in Wireless Body Area Networks. Background: A medical wireless body area network activated by IoT is mainly concerned with transmitting the quality details to the doctor within a fair period. The explosion of wearable gadgets and recent developments in miniature sensors illustrate the technological viability of any universal tracking program. IoT incorporates a range of tools fitted with sensing, recognition, communication, etc. Objective: To improve the medical facility. Method: The Wireless Body Area Network (WBAN) Internet of Things (IoT) for healthcare applications is an operational scenario for IoT systems that has attracted interest from large fields of study in the last few years. Internet of Things Based Stable Increased-throughput Multi-hop Protocol for Link Efficiency (IoT-SIMPLE), the IoT ties both topics to the healthcare network effortlessly. IoT enables the sensing, retrieval, and connectivity of all facilities or functional criteria and biomedicine. It puts the surgeons, the patients together And nurses can roam without any restrictions through smart devices, and each entity. Now work is underway to improve the healthcare sector by rising prices and increasing patient care quality. The route determines the route between the nodes and the sink. In this paper, we propose a protocol in WBAN that transmits body sensing data from various sensors, installed on the human body, to sink nodes using a multihop routing technique. Our key goal is to increase WBAN’s total network existence by raising cumulative energy usage. The residual energy parameter governs the usage of energy by the sensor nodes while the distance parameter ensures that the packet is effectively transmitted into the sink Result: Simulation results demonstrate that our proposed protocol very energy efficient and maximizes network stability for longer periods. Conclusion: Throughout this paper, we suggest a method for route data to WBANs. The suggested system uses the expense feature to choose the correct path to fall. The costs of the nodes and their spread from the drain are dependent on residual electricity. Nodes with a lower cost function value are selected as the parent node. Other nodes are parent node children and send their data to parent node. Our simulation tests demonstrate that the suggested routing scheme increases the network reliability period and the packet sent to the sink and in future more numbers of sensors can be used to extend this work to measure throughput, network lifetime, and end-to-end delay.

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A Detailed Research on Human Health Monitoring System Based on Internet of Things

Wireless Communications and Mobile Computing ◽

10.1155/2021/5592454 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Lei Ru ◽

Bin Zhang ◽

Jing Duan ◽

Guo Ru ◽

Ashutosh Sharma ◽

...

Keyword(s):

Internet Of Things ◽

Human Health ◽

Monitoring System ◽

Health Monitoring ◽

Health Management ◽

The Internet ◽

Health Monitoring System ◽

Physiological Information ◽

Public And Private Sector ◽

The Internet Of Things

The technological advent in smart sensing devices and the Internet has provided practical solutions in various sectors of networking, public and private sector industries, and government organizations worldwide. This study intends to combine the Internet of Things (IoT) technology with health monitoring to make it personalized and timely through allowing the interconnection between the devices. This work is aimed at exploring various wearable health monitoring modules that people wear to monitor heart rate, blood pressure, pulse, body temperature, and physiological information. The information is acquired using the wireless sensor to create a health monitoring system. The data is integrated using the Internet of Things for processing, connecting, and computing to achieve real-time monitoring. The temperature of three people measured by the temperature thermometer is 36.4, 36.7, and 36.5 (°C), respectively, and the average acquired by the monitoring system of the three people is 36.5, 36.4, and 36.5 (°C), respectively, indicating that the system demonstrated relatively accurate and stable testability. The user’s ECG is displayed clearly and conveniently using the ECG acquisition system. The pulse rate of the three people tested by the system is 78, 78, and 79 (times/min), respectively, similar to the medical pulse meter results. The physiological information acquired using the semantic recognition, matching system, and character matching system is relatively accurate. It concludes that the human health monitoring system based on the Internet of Things can provide people with daily health management, instrumental in heightening health service quality and level.

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Markov Models for Anomaly Detection in Wireless Body Area Networks for Secure Health Monitoring

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2020.3020602 ◽

2020 ◽

pp. 1-1

Author(s):

Osman Salem ◽

Khalid Alsubhi ◽

Ahmed Mehaoua ◽

Raouf Boutaba

Keyword(s):

Anomaly Detection ◽

Health Monitoring ◽

Markov Models ◽

Body Area Networks ◽

Wireless Body Area Networks ◽

Body Area

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A Multidimensional Authentication and Secure Framework for Cloud Based Human Health Monitoring System (Preprint)

10.2196/preprints.30247 ◽

2021 ◽

Author(s):

Narahari Narasimhaiah ◽

Rachapudi Praveen Sam

Keyword(s):

Health Care ◽

Human Health ◽

Monitoring System ◽

Health Monitoring ◽

Design Method ◽

Human Life ◽

Fog Computing ◽

Cyber Attacks ◽

Health Monitoring System ◽

Health Care Monitoring

BACKGROUND Healthcare monitoring systems have emerged as one of the most vital systems and from the past decade have become technology-oriented. People face an unnecessary mortality crisis due to various diseases owing to lack of medical care for patients at the perfect time. Our goal is to develop the application for cloud based Health Care system. OBJECTIVE Cyber-attacks are the primary challenge for cloud-based control of health care. In that big serious issue in the field of health care monitoring are denial of services, problems with node failure, traffic jams between nodes and malicious attacks. METHODS In order to cope up with above challenges this work has proposed a secure structure for cloud based human health monitoring system. Initially, a novel Multidimensional Authentication design method which therefore provides the data with a secure authentication and can be prevented from intruding an unauthorized person. RESULTS Then provide an effective single new Steadiness Pawn Detection and Cybernetic Security Framework for safe and secure patient health monitoring. As a consequence, Concealment Drip Detection is suggested to improve the scalability in fog computing, which prevents intruders from information in the fog. CONCLUSIONS Therefore, by using all the above techniques in a single framework the major data risks in healthcare systems are prevented and the cloud-based health monitoring system requires more efficient monitoring of the patient's health status, thereby preserving human life on time. CLINICALTRIAL Background: Healthcare monitoring systems have emerged as one of the most vital systems and from the past decade have become technology-oriented. People face an unnecessary mortality crisis due to various diseases owing to lack of medical care for patients at the perfect time. Our goal is to develop the application for cloud based Health Care system. Objective: Cyber-attacks are the primary challenge for cloud-based control of health care. In that big serious issue in the field of health care monitoring are denial of services, problems with node failure, traffic jams between nodes and malicious attacks. Methods: In order to cope up with above challenges this work has proposed a secure structure for cloud based human health monitoring system. Initially, a novel Multidimensional Authentication design method which therefore provides the data with a secure authentication and can be prevented from intruding an unauthorized person. Results: Then provide an effective single new Steadiness Pawn Detection and Cybernetic Security Framework for safe and secure patient health monitoring. As a consequence, Concealment Drip Detection is suggested to improve the scalability in fog computing, which prevents intruders from information in the fog. Therefore, by using all the above techniques in a single framework the major data risks in healthcare systems are prevented and the cloud-based health monitoring system requires more efficient monitoring of the patient's health status, thereby preserving human life on time.

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