scholarly journals Wearable IoTs and Geo-Fencing Based Framework for COVID-19 Remote Patient Health Monitoring and Quarantine Management to Control the Pandemic

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 2035
Author(s):  
Farman Ullah ◽  
Hassan Ul Haq ◽  
Jebran Khan ◽  
Arslan Ali Safeer ◽  
Usman Asif ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Urban Areas ◽  
Wearable Sensors ◽  
Wireless Body Area Network ◽  
Critical Issue ◽  
Raspberry Pi ◽  
Area Network ◽  
Epidemic Disease ◽  
Close Interaction ◽  
Number Of Patients

The epidemic disease of Severe Acute Respiratory Syndrome (SARS) called COVID-19 has become a more frequently active disease. Managing and monitoring COVID-19 patients is still a challenging issue for advanced technologies. The first and foremost critical issue in COVID-19 is to diagnose it timely and cut off the chain of transmission by isolating the susceptible and patients. COVID-19 spreads through close interaction and contact with an infected person. It has affected the entire world, and every country is facing the challenges of having adequate medical facilities along with the availability of medical staff in rural and urban areas that have a high number of patients due to the pandemic. Due to the invasive method of treatment, SARS-COVID is spreading swiftly. In this paper, we propose an intelligent health monitoring framework using wearable Internet of Things (IoT) and Geo-fencing for COVID-19 susceptible and patient monitoring, and isolation and quarantine management to control the pandemic. The proposed system consists of four layers, and each layer has different functionality: a wearable sensors layer, IoT gateway layer, cloud server layer, and client application layer for visualization and analysis. The wearable sensors layer consists of wearable biomedical and GPS sensors for physiological parameters, and GPS and Wi-Fi Received Signal Strength Indicator acquisition for health monitoring and user Geo-fencing. The IoT gateway layer provides a Bluetooth and Wi-Fi based wireless body area network and IoT environment for data transmission anytime and anywhere. Cloud servers use Raspberry Pi and ThingSpeak cloud for data analysis and web-based application layers for remote monitoring based on user consent. The susceptible and patient conditions, real-time sensor’s data, and Geo-fencing enables minimizing the spread through close interaction. The results show the effectiveness of the proposed framework.

A WBAN-Based Framework for Health Condition Monitoring and Faulty Sensor Node Detection Applying ANN

2021 ◽  
Vol 10 (2) ◽  
pp. 44-65
Author(s):  
Koushik Karmakar ◽  
Sohail Saif ◽  
Suparna Biswas ◽  
Sarmistha Neogy
Keyword(s):  
Condition Monitoring ◽  
Health Monitoring ◽  
Wearable Sensors ◽  
Wireless Body Area Network ◽  
Health Condition ◽  
Sensor Data ◽  
Area Network ◽  
Cardiac Condition ◽  
Artificial Neural Network Ann ◽  
Sensor Detection

Remote health monitoring framework using wireless body area network with ubiquitous support is gaining popularity. However, faulty sensor data may prove to be critical. Hence, faulty sensor detection is necessary in sensor-based health monitoring. In this paper, an artificial neural network (ANN)-based framework for learning about health condition of patients as well as fault detection in the sensors is proposed. This experiment is done based on human cardiac condition monitoring setup. Related physiological parameters have been collected using wearable sensors from different people. These data are then analyzed using ANN for health condition identification and faulty node detection. Libelium MySignals HW (eHealth Medical Development Shield for Arduino) v2 sensors such as ECG sensor, pulse oximeter sensor, and body temperature sensor have been used for data collection and ARDINO UNO R3 as microcontroller device. ANN method detects faulty sensor data with classification accuracy of 98%. Experimental results and analyses are given to prove the claim.

Body Fitness Monitoring Using IoT Device

2018 ◽  
pp. 154-169 ◽  
Author(s):  
Govinda K.
Keyword(s):  
Human Body ◽  
Health Monitoring ◽  
Low Cost ◽  
Wearable Sensors ◽  
Wireless Body Area Network ◽  
Heart Beat ◽  
Sensor Nodes ◽  
Physiological Data ◽  
Area Network ◽  
Technological Advances

Recent technological advances in wireless communications and wireless sensor networks have enabled the design of intelligent, tiny, low-cost, and lightweight medical sensor nodes that can be placed on the human body strategically. The focus of this chapter is to implement the health monitoring system continuously without hospitalization using wearable sensors and create a wireless body area network (WBAN). Wearable sensors monitor the parameters of the human body like temperature, pressure, and heart beat by using sensors and providing real-time feedback to the user and medical staff and WBANs promise to revolutionize health monitoring. In this chapter, medical sensors are used to collect physiological data from patients and transmit it to the system which has details of an individual stored using Bluetooth/Wi-Fi with the help of Arduino and to medical server using Wi-Fi/3G communications.

Internet of Things Based Stable Increased-throughput Multi-hop Protocol for Link Efficiency (IoT-SIMPLE) for health monitoring in Wireless Body Area Networks

2021 ◽  
Vol 11 ◽  
Author(s):  
Arun Kumar Rana ◽  
Sharad Sharma
Keyword(s):  
Internet Of Things ◽  
Health Monitoring ◽  
Wireless Body Area Network ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area Network ◽  
Area Network ◽  
Body Area ◽  
Link Efficiency ◽  
Parent Node

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.

CMDP-based intelligent transmission for wireless body area network in remote health monitoring

2019 ◽  
Vol 32 (3) ◽  
pp. 829-837 ◽  
Author(s):  
Weilin Zang ◽  
Fen Miao ◽  
Raffaele Gravina ◽  
Fangmin Sun ◽  
Giancarlo Fortino ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Wireless Body Area Network ◽  
Body Area Network ◽  
Area Network ◽  
Body Area ◽  
Remote Health Monitoring ◽  
Remote Health

scholarly journals An Open and Modular Hardware Node for Wireless Sensor and Body Area Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
L. Ciabattoni ◽  
A. Freddi ◽  
S. Longhi ◽  
A. Monteriù ◽  
L. Pepa ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Wireless Body Area Network ◽  
Fall Detection ◽  
Wireless Sensor ◽  
Area Network ◽  
Additional Contribution ◽  
Wireless Sensor Node ◽  
Body Area ◽  
Open Hardware ◽  
High Level

Health monitoring is nowadays one of the hottest markets due to the increasing interest in prevention and treatment of physical problems. In this context the development of wearable, wireless, open-source, and nonintrusive sensing solutions is still an open problem. Indeed, most of the existing commercial architectures are closed and provide little flexibility. In this paper, an open hardware architecture for designing a modular wireless sensor node for health monitoring is proposed. By separating the connection and sensing functions in two separate boards, compliant with the IEEE1451 standard, we add plug and play capabilities to analog transducers, while granting at the same time a high level of customization. As an additional contribution of the work, we developed a cosimulation tool which simplifies the physical connection with the hardware devices and provides support for complex systems. Finally, a wireless body area network for fall detection and health monitoring, based on wireless node prototypes realized according to the proposed architecture, is presented as an application scenario.

Energy Efficient Wireless Body Area Network (WBAN)

2017 ◽  
pp. 413-432
Author(s):  
Prasenjit Maiti ◽  
Sourav Kanti Addya ◽  
Bibhudatta Sahoo ◽  
Ashok Kumar Turuk
Keyword(s):  
Health Monitoring ◽  
Wireless Body Area Network ◽  
Vital Signs ◽  
Sensor Nodes ◽  
Area Network ◽  
Body Area ◽  
Privacy Concerns ◽  
Research Areas ◽  
Information Privacy Concerns ◽  
The Cost

Healthcare expenses are a growing concern in most countries. This has forced medical researchers to look for trusted and ambulatory health monitoring of patient's vital signs. The objective is to reduce patient visits and the use of medical and support staff for frequent examinations. Wireless Body Area Networks (WBAN) consist of implanted, or worn, tiny health monitoring sensor nodes so that the vital body parameters and the movements of the patient can be recorded and communicated to the medical facilities for processing, diagnosis and prescription. WBAN is required to have small form and low power consumption. Reducing energy consumption of the sensor and communication equipment is one of the key research areas. It is also important for WBAN be secure, protected and reliable. Failure to acquire authentic and correct medical data may prevent a patient from being treated effectively, or even lead to wrong treatments. As patient identity can be obtained by correlating physiological information, privacy concerns must be addressed for wide acceptance of the technology. While security is paramount, the cost of implementing security techniques in WBAN may be prohibitive. It, therefore, becomes necessary to find cryptographic solutions that consume less energy. Research efforts are being made to reduce the cost of cryptography used in WBAN. In this paper authors discuss the current and future security solutions for low energy WBAN.

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