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Real time health monitoring using WSN of imbed and wearable sensors is visualized as a continual monitoring solution of bedridden outpatient with motility. This paper aims to implement an instantaneous patient monitoring framework, which is proficient in collecting, transmitting and monitoring patient’s perceptual conditions. In present Health moni...
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... In particular, the development of strategies for energy-efficient data transmission of sensor observations in wireless sensor networks (WSNs) in order to decrease the communication overhead is essential in response to the recent progress in CPSs. Some of the application areas of WSNs include biosensors for healthcare monitoring [3], remote monitoring and surveillance [4], wildfire monitoring [5], intelligent environment and Internet of Things (IoT) [6], and target tracking [7].The communication potential, as well as the energy of the sensor nodes in WSNs, are constrained due to cost and other considerations, including storage capacity and communication bandwidth. Therefore, in WSNs, information transmission and computing power must be lowered to conserve energy. ...
Inspired by recent breakthroughs in cyber-physical systems (CPSs) and their applications, in this paper, we propose a novel multi-objective method to optimize the threshold values within the ternary event-based framework. To reduce communication overhead, the particle swarm optimization (PSO) approach is applied as an optimizer to identify Pareto optimal set values of the threshold. The proposed optimization technique is subject to constraints to ensure its feasibility. The simulation results confirm the efficiency of the recommended method. Furthermore, the simulation results demonstrate that the proposed framework is comprehensive and capable of finding a wide variety of Pareto optimal ternary event-based state estimations for each predefined threshold.
... Over the years, several prototypes have been built with different sensors such as ECG, RFID, BP Sensor, and PIR Sensor [19][20][21][22][23]. Additionally, the field also uses microcontrollers such as Arduino, STM32 Microcontroller, ARM7, Intel Galileo, and Raspberry Pi, [22,[24][25][26][27][28]. The communication protocols used were MQTT, BLE, GSM, ZigBee, LoRaWAN, and GPRS [27,[29][30][31][32][33][34][35]. ...
... The system in [43] details a wireless sensor network (WSN) [56,61] for cardiac patients to have continuous real-time monitoring that would be uploaded onto the cloud for analysis. Research in [47] describes a cardiac monitoring system that uses NI myRIO-1900 to transmit the data to NI LabVIEW, where it can graph [31]. The research [84] compares single-lead and multiple = 0 lead ECG recording devices and presents the results. ...
IoT has played an essential role in many industries over the last few decades. Recent advancements in the healthcare industry have made it possible to make healthcare accessible to more people and improve their overall health. The next step in healthcare is to integrate it with IoT-assisted wearable sensor systems seamlessly. This review rigorously discusses the various IoT ar-chitectures, different methods of data processing, transfer, and computing paradigms. It compiles various communication technologies and the devices commonly used in IoT-assisted wearable sensor systems and deals with its various applications in healthcare and their advantages to the world. A comparative analysis of all the wearable technology in healthcare is also discussed with tabulation of various research and technology. This review also analyses all the problems commonly faced in IoT-assisted wearable sensor systems and the specific issues that need to be tackled to optimize these systems in healthcare and describes the various future implementations that can be made to the architecture and the technology to improve the healthcare industry.
