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Jianqing Wang

Bio: Jianqing Wang is an academic researcher from Nagoya Institute of Technology. The author has contributed to research in topics: Ultra-wideband & Bit error rate. The author has an hindex of 29, co-authored 238 publications receiving 3096 citations. Previous affiliations of Jianqing Wang include Tohoku University & Korea Maritime and Ocean University.


Papers
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Journal ArticleDOI
TL;DR: In this article, a measurement of the amplitude probability distribution (APD) of high-frequency and microwave electromagnetic (EM) fields in experimental fusion facilities was statistically measured, and the exposure levels were compared with safety guidelines to ensure workers' safety.
Abstract: In this paper, high-frequency (HF) and microwave electromagnetic (EM) fields in experimental fusion facilities were statistically measured, and the exposure levels were compared with safety guidelines to ensure workers' safety. Since leaked EM fields have time-varying characteristics whose amplitudes vary according to a stochastic process, a measurement of their amplitude probability distribution (APD) was conducted. An approach was then presented to derive from the measured APD the specific absorption rate (SAR) in an exposed human body. The statistically-averaged whole-body-averaged SAR showed that the leaked field intensities were low enough to not cause any thermal hazards for the workers in the specific EM environment. The statistically averaged SAR also showed fair agreement with the SAR derived from the time average over 6 min as specified in the safety guidelines. This finding suggests the usefulness of the APD measurement in lieu of a field measurement over a 6-min period because the APD can be obtained in a time period much less than 6 min.

16 citations

Proceedings ArticleDOI
14 Nov 2013
TL;DR: The most important research results are presented towards the implementation of a UWB-CE, which would significantly enhance the video quality and reduce power consumption and challenges and research problems in this area are outlined.
Abstract: One of the most innovative applications of wireless technology in medicine is the capsule endoscope (CE). This electronic device helps to examine hard-to-reach parts of the gastrointestinal (GI) tract with significantly less discomfort for the patient than traditional endoscopic methods based on the insertion of flexible tubes. A CE has the size and shape of a pill, and after being swallowed it transmits wirelessly images of the GI tract to an external receiver worn by the patient. The images are captured with the aid of an integrated tiny camera and a light source. Through the use of sophisticated software, a video is created offline with the received images for analysis and inspection by the medical staff. In most cases, real-time video transmission is not possible. A number of commercial CE systems operating with narrowband radio interfaces are already available. Nevertheless, the quality of the CE video is generally poorer than conventional endoscopy's. The use of an ultra wideband (UWB) radio interface, which can enable high data rate transmission, would significantly enhance the video quality and reduce power consumption. The low power consumption feature could be exploited to add functional tools for purposes like biopsy or targeted drug delivery to current CE systems. Nevertheless, the high attenuation of radio signals propagating through living tissues in frequencies above 1 GHz make the use of UWB radio links for this application a major challenge. In addition, the design of an appropriate high data rate transmitter and a tiny antenna for efficient transmission over a large bandwidth are complicate tasks that require an accurate characterization of the channel. This paper presents the most important research results that we have obtained towards the implementation of a UWB-CE. Challenges and research problems in this area are outlined.

15 citations

Journal ArticleDOI
TL;DR: It is shown that the authors' proposed circuit structure with the third electrode directly connected to signal ground can provide an effect on common mode noise reduction similar to the usual drive-right-leg circuit, and a sufficiently good acquisition performance of ECG signals.
Abstract: Wearable electrocardiogram (ECG) is attracting much attention in daily healthcare applications, and human body communication (HBC) technology provides an evident advantage in making the sensing electrodes of ECG also working for transmission through the human body. In view of actual usage in daily life, however, non-contact electrodes to the human body are desirable. In this Letter, the authors discussed the ECG circuit structure in the HBC-based wearable ECG for removing the common mode noise when employing non-contact capacitive coupling electrodes. Through the comparison of experimental results, they have shown that the authors' proposed circuit structure with the third electrode directly connected to signal ground can provide an effect on common mode noise reduction similar to the usual drive-right-leg circuit, and a sufficiently good acquisition performance of ECG signals.

15 citations

Journal ArticleDOI
TL;DR: A careful consideration the propagation characteristics of implant BANs signals is efficient in terms of estimation performance improvement in capsule endoscope localization, and it is revealed that the ML localization can improve the location estimation accuracy as compared with the LS localization.
Abstract: SUMMARY One of promising application offered by implant body area networks (BANs) is a capsule endoscope localization system. To begin with, this paper performs finite-difference time-domain (FDTD) simulations on implant BAN propagation with a numerical human model, and investigates the propagation characteristics of implant BAN signals at 400 MHz medical implant communication service (MICS) band. Then, the paper presents a capsule endoscope localization system which utilizes only received signal strength indicator (RSSI) and two estimation methods, such as a maximum likelihood (ML) estimation method and a least squares (LS) method. Furthermore, we evaluate the two localization methods by two computer simulation scenarios. Our computer simulation results demonstrate that the ML localization can improve the location estimation accuracy as compared with the LS localization, that is, our performance comparison reveals that a careful consideration the propagation characteristics of implant BANs signals is efficient in terms of estimation performance improvement in capsule endoscope localization.

15 citations

Proceedings ArticleDOI
06 Nov 2014
TL;DR: A novel joint time of arrival/received signal strength indicator-based wireless capsule endoscope location tracking method without prior knowledge of biological human tissues that can accomplish an excellent localization accuracy of around 2 mm without prior information of the relative permittivity of the human body tissues.
Abstract: This paper proposes a novel joint time of arrival (TOA)/received signal strength indicator (RSSI)-based wireless capsule endoscope (WCE) location tracking method without prior knowledge of biological human tissues. Generally, TOA-based localization can achieve much higher localization accuracy than other radio frequency-based localization techniques, whereas wireless signals transmitted from a WCE pass through various kinds of human body tissues, as a result, the propagation velocity inside a human body should be different from one in free space. Because the variation of propagation velocity is mainly affected by the relative permittivity of human body tissues, instead of pre-measurement for the relative permittivity in advance, we simultaneously estimate not only the WCE location but also the relative permittivity information. For this purpose, this paper first derives the relative permittivity estimation model with measured RSSI information. Then, we pay attention to a particle filter algorithm with the TOA-based localization and the RSSI-based relative permittivity estimation. Our computer simulation results demonstrates that the proposed tracking methods with the particle filter can accomplish an excellent localization accuracy of around 2 mm without prior information of the relative permittivity of the human body tissues.

15 citations


Cited by
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Journal ArticleDOI
06 Jun 1986-JAMA
TL;DR: The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or her own research.
Abstract: I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

7,563 citations

Journal ArticleDOI
TL;DR: The goal is development of a cloud and cloud shadow detection algorithm suitable for routine usage with Landsat images and as high as 96.4%.

1,620 citations

01 Jan 2007
TL;DR: In this paper, the authors provide updates to IEEE 802.16's MIB for the MAC, PHY and asso-ciated management procedures in order to accommodate recent extensions to the standard.
Abstract: This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

1,481 citations

Journal ArticleDOI
TL;DR: All tissues and organs were reconstructed as three-dimensional unstructured triangulated surface objects, yielding high precision images of individual features of the body, which greatly enhances the meshing flexibility and the accuracy in comparison with the traditional voxel-based representation of anatomical models.
Abstract: The objective of this study was to develop anatomically correct whole body human models of an adult male (34 years old), an adult female (26 years old) and two children (an 11-year-old girl and a six-year-old boy) for the optimized evaluation of electromagnetic exposure. These four models are referred to as the Virtual Family. They are based on high resolution magnetic resonance (MR) images of healthy volunteers. More than 80 different tissue types were distinguished during the segmentation. To improve the accuracy and the effectiveness of the segmentation, a novel semi-automated tool was used to analyze and segment the data. All tissues and organs were reconstructed as three-dimensional (3D) unstructured triangulated surface objects, yielding high precision images of individual features of the body. This greatly enhances the meshing flexibility and the accuracy with respect to thin tissue layers and small organs in comparison with the traditional voxel-based representation of anatomical models. Conformal computational techniques were also applied. The techniques and tools developed in this study can be used to more effectively develop future models and further improve the accuracy of the models for various applications. For research purposes, the four models are provided for free to the scientific community.

1,347 citations