Results 21 to 30 of about 2,049,351 (289)
A Spectrum-Aware Priority-Based Link Scheduling Algorithm for Cognitive Radio Body Area Networks
With the development of wireless communication technology, wireless body area networks (WBANs) have become a fundamental support tool in medical applications.
Thien Thi Thanh Le, Sangman Moh
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In-body path loss models for implants in heterogeneous human tissues using implantable slot dipole conformal flexible antennas [PDF]
A wireless body area network (WBAN) consists of a wireless network with devices placed close to, attached on, or implanted into the human body. Wireless communication within a human body experiences loss in the form of attenuation and absorption.
Axisa, Fabrice +9 more
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Linking pain and the body: neural correlates of visually induced analgesia [PDF]
The visual context of seeing the body can reduce the experience of acute pain, producing a multisensory analgesia. Here we investigated the neural correlates of this “visually induced analgesia” using fMRI.
, +5 more
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Cooperative In-Vivo Nano-Network Communication at Terahertz Frequencies
Nano-devices have great potential to play a vital role in future medical diagnostics and treatment technologies because of its non-invasive nature and ability to reach delicate body sites easily as compared with conventional devices.
Qammer H. Abbasi +4 more
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Body area network has attracted extensive attention for its applications in athletics, medical, diagnosis, and rehabilitation training in the next generation personalized health care solutions.
Feng Liu +9 more
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Characterization of off-body area network channels during walking [PDF]
In this work, the off-body area network channel characteristics during walking were investigated using finite-difference time-domain. The channels were investigated in terms of fade variation and the correlation between different channels.
Cheffena, Michael +4 more
core +1 more source
Unsupervised learning in body-area networks [PDF]
Pattern recognition is becoming a key application in body-area networks. This paper presents a framework promoting unsupervised training for multi-modal, multi-sensor classification systems. Specifically, it enables sensors provided with pattern-recognition capabilities to autonomously supervise the learning process of other sensors.
BICOCCHI, Nicola +5 more
openaire +1 more source
A Survey of MAC Protocols for Cognitive Radio Body Area Networks
The advancement in electronics, wireless communications and integrated circuits has enabled the development of small low-power sensors and actuators that can be placed on, in or around the human body.
Sabin Bhandari, Sangman Moh
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The heart consists of billions of cardiac muscle cells—cardiomyocytes—that work in a coordinated fashion to supply oxygen and nutrients to the body. Inter-connected specialized cardiomyocytes form signaling channels through which the electrical signals ...
Pengfei Lu +3 more
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Realistic Simulation for Body Area and Body-To-Body Networks [PDF]
In this paper, we present an accurate and realistic simulation for body area networks (BAN) and body-to-body networks (BBN) using deterministic and semi-deterministic approaches. First, in the semi-deterministic approach, a real-time measurement campaign is performed, which is further characterized through statistical analysis.
Muhammad Alam +6 more
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