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author:

Li, Jia Wen (Li, Jia Wen.) [1] | Chen, Xi Mei (Chen, Xi Mei.) [2] | Sekar, Booma Devi (Sekar, Booma Devi.) [3] | Lam, Chan Tong (Lam, Chan Tong.) [4] | Du, Min (Du, Min.) [5] | Mak, Peng Un (Mak, Peng Un.) [6] | Vai, Mang I (Vai, Mang I.) [7] | Gao, Yue Ming (Gao, Yue Ming.) [8] (Scholars:高跃明) | Pun, Sio Hang (Pun, Sio Hang.) [9]

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EI Scopus

Abstract:

Intra-Body Communication (IBC), which employs the human body as the channel to transmit health informatics, is a potential approach for connecting wearable and implantable devices. Undoubtedly, its channel characteristics provide deep insights to select parameters that are beneficial for the physical layer design of the Body Area Network (BAN). Nevertheless, such analysis has not been systematically addressed. To this end, the transfer function from the quasi-static model in the electromagnetic field is considered at first. Then, the linearity of the galvanic coupling IBC channel is verified. Besides, the proper frequency band for data transmission is investigated using the water-filling algorithm. Moreover, the theoretical Bit Error Rate (BER) performances of different modulations are studied. Results revealed that the galvanic coupling IBC channel can be modeled as a linear band-limited Additive White Gaussian Noise (AWGN) channel. Finally, suitable modulations for various scenarios are discussed based on the channel characteristics found. Consequently, this work can further enrich the design of the IBC for medical applications. © 2016 IEEE.

Keyword:

Bit error rate eHealth Electromagnetic fields Fading channels Gaussian noise (electronic) Implants (surgical) Medical applications Modulation Network layers Transfer functions Wearable technology White noise

Community:

  • [ 1 ] [Li, Jia Wen]State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, 999078, China
  • [ 2 ] [Li, Jia Wen]University of Macau, Department of Electrical and Computer Engineering, Faculty of Science and Technology, 999078, China
  • [ 3 ] [Li, Jia Wen]Guangdong Polytechnic Normal University, School of Computer Science, Guangzhou; 510665, China
  • [ 4 ] [Chen, Xi Mei]Baoan Urban Renewal Bureau, Shenzhen; 518101, China
  • [ 5 ] [Sekar, Booma Devi]Queen's University Belfast, School of Mathematics and Physics, Belfast; BT7 1NN, United Kingdom
  • [ 6 ] [Lam, Chan Tong]Macao Polytechnic Institute, School of Applied Sciences, 999078, China
  • [ 7 ] [Du, Min]Fuzhou University, College of Physical and Information Engineering, Fuzhou; 350108, China
  • [ 8 ] [Mak, Peng Un]University of Macau, Department of Electrical and Computer Engineering, Faculty of Science and Technology, 999078, China
  • [ 9 ] [Vai, Mang I]State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, 999078, China
  • [ 10 ] [Vai, Mang I]University of Macau, Department of Electrical and Computer Engineering, Faculty of Science and Technology, 999078, China
  • [ 11 ] [Gao, Yue Ming]Fuzhou University, College of Physical and Information Engineering, Fuzhou; 350108, China
  • [ 12 ] [Pun, Sio Hang]State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, 999078, China

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IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology

ISSN: 2469-7249

Year: 2022

Issue: 3

Volume: 6

Page: 364-372

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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