An Efficient Micro Control Unit with a Reconfigurable Filter Design for Wireless Body Sensor Networks (WBSNs)

被引:29
作者
Chen, Chiung-An [1 ]
Chen, Shih-Lun [2 ]
Huang, Hong-Yi [3 ]
Luo, Ching-Hsing [1 ]
机构
[1] Natl Cheng Kung Univ, Instrumentat Chip Grp, Dept Elect Engn, Tainan 701, Taiwan
[2] Chung Yuan Christian Univ, Dept Elect Engn, Chung Li City 320, Taiwan
[3] Natl Taipei Univ, Grad Inst Elect Engn, Taipei 10478, Taiwan
关键词
micro control unit; reconfigurable filter; multi-sensor; asynchronous interface; wireless body sensor network; ALGORITHMS;
D O I
10.3390/s121216211
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this paper, a low-cost, low-power and high performance micro control unit (MCU) core is proposed for wireless body sensor networks (WBSNs). It consists of an asynchronous interface, a register bank, a reconfigurable filter, a slop-feature forecast, a lossless data encoder, an error correct coding (ECC) encoder, a UART interface, a power management (PWM), and a multi-sensor controller. To improve the system performance and expansion abilities, the asynchronous interface is added for handling signal exchanges between different clock domains. To eliminate the noise of various bio-signals, the reconfigurable filter is created to provide the functions of average, binomial and sharpen filters. The slop-feature forecast and the lossless data encoder is proposed to reduce the data of various biomedical signals for transmission. Furthermore, the ECC encoder is added to improve the reliability for the wireless transmission and the UART interface is employed the proposed design to be compatible with wireless devices. For long-term healthcare monitoring application, a power management technique is developed for reducing the power consumption of the WBSN system. In addition, the proposed design can be operated with four different bio-sensors simultaneously. The proposed design was successfully tested with a FPGA verification board. The VLSI architecture of this work contains 7.67-K gate counts and consumes the power of 5.8 mW or 1.9 mW at 100 MHz or 133 MHz processing rate using a TSMC 0.18 mu m or 0.13 mu m CMOS process. Compared with previous techniques, this design achieves higher performance, more functions, more flexibility and higher compatibility than other micro controller designs.
引用
收藏
页码:16211 / 16227
页数:17
相关论文
共 23 条
[1]   The Gaussian transform of distributions: Definition, computation and application [J].
Alecu, Teodor Iulian ;
Voloshynovskiy, Sviatoslav ;
Pun, Thierry .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (08) :2976-2985
[2]   A micropower programmable DSP using approximate signal processing based on distributed arithmetic [J].
Amirtharajah, R ;
Chandrakasan, AP .
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2004, 39 (02) :337-347
[3]  
Antonia M.C., 2011, SENSORS, V11, P6015
[4]   Low-Power 32-bit Dual-MAC 120 μW/MHz 1.0 V icyflex1 DSP/MCU Core [J].
Arm, Claude ;
Gyger, Steve ;
Masgonty, Jean-Marc ;
Morgan, Marc ;
Nagel, Jean-Luc ;
Piguet, Christian ;
Rampogna, Flavio ;
Volet, Patrick .
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2009, 44 (07) :2055-2064
[5]  
Carlos O., 2010, SENSORS, V10, P7146
[6]   An Asynchronous Multi-Sensor Micro Control Unit for Wireless Body Sensor Networks (WBSNs) [J].
Chen, Chiung-An ;
Chen, Shih-Lun ;
Huang, Hong-Yi ;
Luo, Ching-Hsing .
SENSORS, 2011, 11 (07) :7022-7036
[7]   Wireless Body Sensor Network With Adaptive Low-Power Design for Biometrics and Healthcare Applications [J].
Chen, Shih-Lun ;
Lee, Ho-Yin ;
Chen, Chiung-An ;
Huang, Hong-Yi ;
Luo, Ching-Hsing .
IEEE SYSTEMS JOURNAL, 2009, 3 (04) :398-409
[8]   Estimation of Distributed Fermat-Point Location for Wireless Sensor Networking [J].
Huang, Po-Hsian ;
Chen, Jiann-Liang ;
Larosa, Yanuarius Teofilus ;
Chiang, Tsui-Lien .
SENSORS, 2011, 11 (04) :4358-4371
[9]   A METHOD FOR THE CONSTRUCTION OF MINIMUM-REDUNDANCY CODES [J].
HUFFMAN, DA .
PROCEEDINGS OF THE INSTITUTE OF RADIO ENGINEERS, 1952, 40 (09) :1098-1101
[10]  
Jani M., 2012, SENSORS, V2, P180