An Ultra Low Power Baseband Transceiver IC for Wireless Body Area Network in 0.18-$\mu$m CMOS Technology

Data transmission of electroencephalography (EEG) signals over Wireless Body Area Network (WBAN) is currently a widely used system that comes together with challenges in terms of efficiency and effectivity. In this study, an effective Very-Large-Scale Integration (VLSI) circuit design of lossless EEG compression circuit is proposed to increase both efficiency and effectivity of EEG signal transmission over WBAN. The proposed design was realized based on a novel lossless compression algorithm which consists of an adaptive fuzzy predictor, a voting-based scheme and a tri-stage entropy encoder. The tri-stage entropy encoder is composed of a two-stage Huffman and Golomb-Rice encoders with static coding table using basic comparator and multiplexer components. A pipelining technique was incorporated to enhance the performance of the proposed design. The proposed design was fabricated using a 0.18 μm CMOS technology containing 8405 gates with 2.58 mW simulated power consumption under an operating condition of 100 MHz clock speed. The CHB-MIT Scalp EEG Database was used to test the performance of the proposed technique in terms of compression rate which yielded an average value of 2.35 for 23 channels. Compared with previously proposed hardware-oriented lossless EEG compression designs, this work provided a 14.6% increase in compression rate with a 37.3% reduction in hardware cost while maintaining a low system complexity.

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A 2.4-GHz low power polar transmitter for wireless body area network applications

2013 IEEE 11th International New Circuits and Systems Conference (NEWCAS) ◽

10.1109/newcas.2013.6573587 ◽

2013 ◽

Cited By ~ 2

Author(s):

Vladimir Kopta ◽

Franz Pengg ◽

Erwan Le Roux ◽

Christian Enz

Keyword(s):

Low Power ◽

Wireless Body Area Network ◽

Body Area Network ◽

Area Network ◽

Body Area ◽

Network Applications ◽

Polar Transmitter

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Wireless Body-Area-Network Transceiver and Low-Power Receiver With High Application Expandability

IEEE Journal of Solid-State Circuits ◽

10.1109/jssc.2020.3005765 ◽

2020 ◽

Vol 55 (10) ◽

pp. 2781-2789

Author(s):

Jaeeun Jang ◽

Jihee Lee ◽

Hyunwoo Cho ◽

Jaehyuk Lee ◽

Hoi-Jun Yoo

Keyword(s):

Low Power ◽

Wireless Body Area Network ◽

Body Area Network ◽

Area Network ◽

Body Area ◽

High Application

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Performance Analysis of Preamble-Based TDMA Protocol for Wireless Body Area Network

Journal of Communications Software and Systems ◽

10.24138/jcomss.v4i3.221 ◽

2008 ◽

Vol 4 (3) ◽

pp. 222 ◽

Cited By ~ 13

Author(s):

Sana Ullah ◽

Riazul Islam ◽

Ahasanun Nessa ◽

Yingji Zhong ◽

Kyung Sup Kwak

Keyword(s):

Low Power ◽

Transmission Rate ◽

Mac Protocol ◽

Wireless Body Area Network ◽

Body Area Network ◽

Area Network ◽

Body Area ◽

Medium Access ◽

Non Invasive ◽

802.11 Dcf

A wireless body area network (WBAN) allows the integration of low power, invasive or non-invasive miniaturized sensors around a human body. Each intelligent sensor has enough capability to analyze and process the physiological parameters and to forward all the information to a central intelligent node for disease management, diagnosis and prescription. The data transmission rate of various biosensors is heterogeneous. Furthermore, the limited energy resources and computational power of these sensors have urged the development of low power energy efficient medium access control (MAC) protocol. This paper studies the performance of Preamble-Based time division multiple access (PB-TDMA) protocol for a heterogeneous non-invasive WBAN. Simulation results show that the performance of PB-TDMA protocol outperforms S-MAC and IEEE 802.11 DCF in terms of throughput and power consumption.

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