High-Resolution OFDM-Based Sensor Node Ranging Within In-Homogeneous Media of Human Body

Wireless Body Area Network (WBAN) consists of a number of sensor nodes that are attached to the human body, and intended for monitor the human body condition. The WBAN system has several wireless communication modules that are used for sending or exchanging data between sensor nodes and gateway nodes or gateway nodes. There are some factors that are used to decide which communication modules should be implemented on WBAN system, including communication efficiency, distance range, power consumption, and the effect of mobility on QoS. In this study, we analyze the impact of the kinematic movement of sensor nodes on QoS parameter of HC-05 Bluetooth and NRF25L01 communication modules, during sending and receiving process among nodes. We assume that the sensor node and gateway node are attached on the limbs to catch the movement. We use Quality of Service (QoS) parameters such as delay, jitter, and packet loss, to analyze the impact of movement on communication modules. Based on the experimental result, it was found that the average value of delay and jitter for booth communication modules was slightly influenced by the speed of the sensor node movement. During the sensor node movement and data transmission, we found that the NRF24L01 module have a lower delay and jitter value than Bluetooth HC-05 module. The percentage of packet loss tends to be stable at 0% value, even though the speed value becomes higher.

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Medical Video Processing

Advances in Multimedia and Interactive Technologies - Feature Detectors and Motion Detection in Video Processing ◽

10.4018/978-1-5225-1025-3.ch001 ◽

2017 ◽

pp. 1-17

Author(s):

Srijan Goswami ◽

Urmimala Dey ◽

Payel Roy ◽

Amira Ashour ◽

Nilanjan Dey

Keyword(s):

High Resolution ◽

Data Quality ◽

Human Body ◽

Video Processing ◽

Time Frame ◽

Medical Data ◽

Accurate Diagnosis ◽

Graphical Information ◽

Clinical Environments ◽

3D Scanners

In today's medical environments, imaging technology is extremely significant to provide information for accurate diagnosis. An increasing amount of graphical information from high resolution 3D scanners is being used for diagnoses. Improved medical data quality become one of the major aims of researchers. This leads to the development of various medical modalities supported by cameras that can provide videos for the human body internal for surgical purposes and more information for accurate diagnosis. The current chapter studied concept of the video processing, and its application in the medical domain. Based on the highlighted literatures, it is convinced that video processing and real time frame will have outstanding value in the clinical environments.

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Human physiome based on the high-resolution dataset of human body structure

Progress in Natural Science Materials International ◽

10.1016/j.pnsc.2008.03.013 ◽

2008 ◽

Vol 18 (8) ◽

pp. 921-925 ◽

Cited By ~ 1

Author(s):

Qian Liu ◽

Bo Wu ◽

Shaoqun Zeng ◽

Qingming Luo

Keyword(s):

High Resolution ◽

Human Body ◽

Body Structure ◽

Resolution Dataset

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Human Body Heat Based Thermoelectric Harvester with Ultra-Low Input Power Management System for Wireless Sensors Powering

Energies ◽

10.3390/en12203942 ◽

2019 ◽

Vol 12 (20) ◽

pp. 3942 ◽

Cited By ~ 1

Author(s):

Chengshuo Xia ◽

Daxing Zhang ◽

Witold Pedrycz ◽

Kangqi Fan ◽

Yongxian Guo

Keyword(s):

Energy Storage ◽

Energy Harvesting ◽

Power Management ◽

Human Body ◽

Sensor Node ◽

Energy Harvester ◽

Input Voltage ◽

Wireless Sensor ◽

Thermoelectric Energy ◽

Power Management System

Energy harvesting (EH) technique has been proposed as a favorable solution for addressing the power supply exhaustion in a wireless sensor node and prolong the operating time for a wireless sensor network. Thermoelectric energy generator (TEG) is a valuable device converting the waste heat into electricity which can be collected and stored for electronics. In this paper, the thermal energy from human body is captured and converted to the low electrical energy by means of thermoelectric energy harvester. The aim of presented work is utilizing the converted electricity to power the related electronic device and to extend the working life of a sensor node. Considering the related characteristics of TEG used for human, a type of a novel power management system is designed and presented to harvest generated electricity. The proposed circuit is developed based on off-the-shelf commercial chips, LTC3108 and BQ25504. It can accept the lowest input voltage of 20 mV, which is more suitable for human thermoelectric energy harvesting. Through experiments, developed energy harvesting system can effectively power the sensor to intermittently transmit the data as well as perform the converted energy storage. Compared to the independent commercial chips applications and other microcontroller-based energy harvesting systems, the designed thermoelectric energy harvester system presents the advantages not only in high energy storage utilization rate but also the ultra-low input voltage characteristic. Since the heat from human body is harvested, therefore, the system can possibly be used to power the sensor placed on human body and has practical applications such as physiological parameter monitoring.

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