Low-Cost and Active Control of Radiation of Wearable Medical Health Device for Wireless Body Area Network

2019 ◽  
Vol 43 (5) ◽  
Author(s):  
Yong Jin
2016 ◽  
Vol 833 ◽  
pp. 179-184
Author(s):  
Nur Alia Athirah Mohtadzar ◽  
Shigeru Takayama

Wireless Body Area Network or known as BAN, is a system consists of various kinds of wearable sensors to measure condition of human body. Wrist, waist and shoulder modules from BAN system can help to monitor, analyze and provide advice to the user in order to perform a moderate exercise. The availability of small, low-cost networked sensors combined with advanced signal processing and information extraction is driving a revolution in physiological monitoring and intervention. BAN system is enabling technologies for accurate measurements in healthcare systems, enhance sports and fitness training, life-style monitoring and individualized security.


Author(s):  
Sondous Sulaiman Wali ◽  
Mohammed Najm Abdullah

<span>Compression sensing approaches have been used extensively with the idea of overcoming the limitations of traditional sampling theory and applying the concept of pressure during the sensing procedure. Great efforts have been made to develop methods that would allow data to be sampled in compressed form using a much smaller number of samples. Wireless body area networks (WBANs) have been developed by researchers through the creation of the network and the use of miniature equipment. Small structural factors, low power consumption, scalable data rates from kilobits per second to megabits per second, low cost, simple hardware deployment, and low processing power are needed to hold the wireless sensor through lightweight, implantable, and sharing communication tools wireless body area network. Thus, the proposed system provides a brief idea of the use of WBAN using IEEE 802.15.4 with compression sensing technologies. To build a health system that helps people maintain their health without going to the hospital and get more efficient energy through compression sensing, more efficient energy is obtained and thus helps the sensor battery last longer, and finally, the proposed health system will be more efficient energy, less energy-consuming, less expensive and more throughput.</span>


Author(s):  
Sakshi Kumari ◽  
Vibha Rani Gupta

In this paper, a super ultrawide band planar inverted F antenna (PIFA) has been proposed for wearable applications on a low cost, ecofriendly paper-based substrate. This work is a first and important step towards the progression of conformal flexible antennas for a body area network. The proposed antenna has measured impedance bandwidth of 10.6 GHz, which covers almost all the bands of a wireless body area network i.e. GSM (880-960 MHz), GPS (1565-1585 MHz), DCS (1710-1880 MHz), PCS (1850-1990 MHz), UMTS (1920-2170 MHz), ISM (2.4-2.4835 GHz), WiMAX (3.3-3.8 GHz), HIPERLAN (5.15-5.35 GHz), WLAN (5.725-5.850 GHz) and UWB (3.1-10.6 GHz). Initially, the electrical characteristics of paper are extracted using Cavity Resonator and Transmission line method and then used for the design and fabrication of the proposed antenna. The measured results are in good agreement with the simulated results. This paper also focuses on analysis of the effect of electromagnetic absorption in terms of specific absorption rate for a human arm with frequency exposure at 0.9 GHz, 1.5 GHz, 1.8 GHz, 3.5 GHz, 2.45 GHz, 5.2 GHz and 5.8 GHz and is found to be within the recommended limit by FCC.


Author(s):  
Shilpa Shinde ◽  
Santosh Sonavane

Background and objective: In the Wireless Body Area Network (WBAN) sensors are placed on the human body; which has various mobility patterns like seating, walking, standing and running. This mobility typically assisted with hand and leg movements on which most of the sensors are mounted. Previous studies were largely focused on simulations of WBAN mobility without focusing much on hand and leg movements. Thus for realistic studies on performance of the WBAN, it is important to consider hand and leg movements. Thus, an objective of this paper is to investigate an effect of the mobility patterns with hand movements on the throughput of the WBAN. Method: The IEEE 802.15.6 requirements are considered for WBAN design. The WBAN with star topology is used to connect three sensors and a hub. Three types of mobility viz. standing, walking and running with backward and forward hand movements is designed for simulation purpose. The throughput analysis is carried out with the three sets of simulations with standing, walking and running conditions with the speed of 0 m/s, 0.5 m/s and 3 m/s respectively. The data rate was increased from 250 Kb to 10000 Kb with AODV protocol. It is intended to investigate the effect of the hand movements and the mobility conditions on the throughput. Simulation results are analyzed with the aid of descriptive statistics. A comparative analysis between the simulated model and a mathematical model is also introduced to get more insight into the data. Results: Simulation studies showed that as the data rate is increased, throughput is also increased for all mobility conditions however, this increasing trend was discontinuous. In the standing (static) position, the throughput is found to be higher than mobility (dynamic) condition. It is found that, the throughput is better in the running condition than the walking condition. Average values of the throughput in case of the standing condition were more than that of the dynamic conditions. To validate these results, a mathematical model is created. In the mathematical model, a same trend is observed. Conclusion: Overall, it is concluded that the throughput is decreased due to mobility of the WBAN. It is understood that mathematical models have given more insight into the simulation data and confirmed the negative effect of the mobility conditions on throughput. In the future, it is proposed to investigate effect of interference on the designed network and compare the results.


Author(s):  
Suthisa Kesorn ◽  
Norakamon Wongsin ◽  
Thinnawat jangjing ◽  
Chatree Mahatthanajatuphat ◽  
Paitoon Rakluea

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