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.

An Evaluation Method of Electromagnetic Interference on Bio-Sensor Used for Wearable Robot Control

Abstract: Applications of wearable bio-sensors are rapidly increasing for health care and medical purposes, but various sinusoidal and impulse electromagnetic interferences can have a significant influence on their performance. In this paper, we focus on the electromagnetic interference evaluation of bio-sensors used for control of wearable robots, such as a myoelectric artificial hand. We proposed a method for measuring the common-mode voltage between the human body with a bio-sensor and the ground plane, which is generated by external sinusoidal or impulse electromagnetic fields. First, using sinusoidal electromagnetic interference, we clarified that the mechanism of generation of interference voltage in wearable bio-sensor is due to unbalance of contact resistances between pair of bio-signal detection electrodes. Next, as an example of impulse electromagnetic interference, we evaluated the interference voltage generated in the bio-sensor by combining the proposed measurement method with electric circuit simulation under the IEC-prescribed indirect electrostatic discharge test environment. This method provides a powerful means for evaluating the interference characteristics in the wearable robot design stage.

Miniaturized Dual-Resonant Helix/Spiral Antenna System at MHz-Band for FSK Impulse Radio Intrabody Communications

Abstract: In this article, a miniaturized dual-resonant antenna system at MHz-band operating at around 20 and 50 MHz is proposed for frequency-shift keying impulse radio (FSK-IR) intrabody communications. This antenna system comprises a swallowable helix-coil in-body antenna with a hollow cylindrical shape of 10 mm diameter and 30 mm length, and two single band on-body matched planar spiral-coil antennas with a compact size of 79 mm $\times\,\,72$ mm $\times\,\,2.8$ mm. For in-body antenna design, a nonuniform helical pitch structure is utilized to produce dual-resonant frequencies. The soft ferrite magnetic sheet with high relative permeability and low dissipation factor is used as a flexible conformal substrate to realize antenna miniaturization without lumped element loading. Simulation results for antenna performance, electromagnetic field distribution, and specific absorption rate are presented with different tissue-type phantoms, as well as an anatomical numerical human model. In addition, experimental verification of antenna performance and implant transmission characteristics is also conducted in a liquid phantom. At an implant depth of 50 mm, the measured maximum transmission coefficients are −33 and −45 dB at the dual-resonant frequency bands, respectively. Simulation and measurement results demonstrate that the proposed dual-resonant antenna is suitable for the FSK-IR system and can be expected to realize a data rate as high as 10 Mb/s for biomedical implant applications at MHz-band.

Verification for EMI test of cardiac pacemaker by portable telephones with an anatomically based human model

Abstract: Due to the difficulty of electromagnetic interference (EMI) measurement in an actual pacemaker use situation, the recommendations for the management of health risks of implanted pacemaker users from portable telephones have been developed, based mainly on an in-vitro measuring system with a cuboid liquid phantom simulating a homogeneous human body. The validity of such a highly simplified human body model, however, has never been carefully examined. In this paper, with the application of our previously proposed numerical method for the EMI evaluation of pacemakers by portable telephones, we first confirmed Irnich's finding that the maximum interference distance increases with the third root of the antenna transmitting power for a homogeneous cuboid torso model in order to show the validity of our modeling. We then investigated whether the finding holds true for an actual human body using an anatomically based human model, and confirmed the usefulness of the simple cuboid model in the EMI evaluation for cardiac pacemakers

Motion artifact removal for wearable ECG using stationary wavelet multi-resolution analysis

Abstract: Wearable electrocardiogram (ECG) is attracting much attention in daily healthcare applications. From the view-point of long-term use, it is desired that the electrodes are non-contact with the human body. In this study, we propose an algorithm using the stationary wavelet transform (SWT) to remove motion artifact superimposed on ECG signal when using non-contact capacitively coupling electrodes. In addition, we confirmed that the proposed algorithm performed well on the ECG signals including a premature ventricular contraction (PVC) using MIT-BIH Arrhythmia Database. As a result, the correlation coefficients of ECG signals with respect to the clean ones have been improved from 0.61 to 0.84 on median before and after motion artifact removal, which demonstrates the validity of the proposed SWT-based algorithm.

A Wideband Miniaturized Implantable Antenna for Biomedical Application at HBC Band

Abstract: In this study, a wideband implantable antenna with a small size of 3 cm is designed to operate at Human Body Communication (HBC) band. The proposed implant antenna is realized with two layer of non-equally spaced helical copper foil for dual-resonance frequency band in which −10 dB impedance bandwidth is 15.66 MHz (48.21%). The miniaturization of the antenna is realized by forming the copper radiation element on two layers of flexible magnetic sheet. Simulation results in a cubic tissue-equivalent phantom demonstrates that the proposed wideband antenna is a useful and capable candidate for high-speed transmission in implant biomedical applications at HBC band.

Principles of Neural Science

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

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

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.

The Virtual Family—development of surface-based anatomical models of two adults and two children for dosimetric simulations

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.