Design of a Low-power-consuming Magnetoelastic Sensor Detecting System Based on STM32_Journal of Biomedical Engineering

Authors：

TANGYong , LUOHongyan , CHENXi , ZHENGXiaolin , HUNing , SUTianjin , LIChuan ,  LIAOYanjian

College of Bioengineering, Chongqing University, Key Laboratory of Biorheological Science and Technology, (Chongqing University) Ministry of Education, Chongqing Medical Electronic Engineering Technology Research Center, Chongqing 400044, China;

Corresponding author：

LIAOYanjian, Email: azurelyj@163.com

Keywords：

magnetoelastic sensor; frequency sweeping method; resonance frequency; portability; low power

DOI：

10.7507/1001-5515.20160156

Video：

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Abstract Full text Figures/Tables Video References Cited by

Magnetoelastic (ME) sensors, characterized by wireless, passive, low cost and high sensitivity, have widespread applications in various fields. However, its defects of large volume, high power consumption, poor portability and inconveniency for use limit the application prospects of the ME sensors. To solve this problem, the present paper shows a portable, low-power, resonance-type ME sensor detecting system based on STM32. The experimental results indicated that this detecting system allowed the ME sensor to complete the measurement of resonant frequency in different medium and different concentration, with a frequency resolution of less than 1 Hz, and the resonant frequency ratio of ME sensors in different sizes 0.933 8, closing the theoretical value of 0.942 3. Moreover, compared with the traditional impedance analyzer combined detecting system and the existing integrated detecting system, the present system has a power consumption of 0.68 W in operation and of only 2.20 mW in the dormancy mode. Therefore, the system can not only replace the original impedance analyzer combined detecting system, but also significantly improve the power control of the existing integrated detecting system, exhibiting the advantages of higher integration, portable measurement, and fine suitability for long-term monitoring.

Citation： TANG Yong, LUO Hongyan, CHEN Xi, ZHENG Xiaolin, HU Ning, SU Tianjin, LI Chuan, LIAO Yanjian. Design of a Low-power-consuming Magnetoelastic Sensor Detecting System Based on STM32. Journal of Biomedical Engineering, 2016, 33(5): 972-978. doi: 10.7507/1001-5515.20160156 Copy

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1. OHZEKI H, MASHINE A, AOYAMA H, et al. Development of a magnetostrictive torque sensor for milling processmonitoring[J]. J Manuf Sci Eng, 1999, 121(4):615-622.
2. XIE Hong, CHAI Yating, HORIKAWA S, et al. A pulsed wave excitation system to characterize micron-scale magnetoelastic biosensors[J]. Sens Actuators A Phys, 2014, 205:143-149.
3. 杨斌堂, 赵寅, 彭志科, 等.基于Prandtl-Ishlinskii模型的超磁致伸缩驱动器实时磁滞补偿控制[J].光学精密工程, 2013, 21(1):124-130.
4. YIN Jicheng, WANG Yongsheng, ZHOU Bin, et al. A wireless magnetoelastic sensor for uranyl using DNAzyme-grapheme oxide and gold nanoparticles-based amplification[J]. Sens Actuators B Chem, 2013, 188:147-155.
5. 孟爱华, 刘成龙, 陈文艺, 等.超磁致伸缩致动器的小脑神经网络前馈逆补偿-模糊PID控制[J].光学精密工程, 2015, 23(3):753-759.
6. POSSAN A L, MENTI C, BELTRAMI M, et al. Effect of surface roughness on performance of magnetoelastic biosensors for the detection of Escherichia coli[J]. Mater Sci Eng C Mater Biol Appl, 2016, 58:541-547.
7. HIREMATH N, GUNTUPALLI R, VODYANOY V, et al. Detection of methicillin-resistant Staphylococcus aureus using novel lytic phage-based magnetoelastic biosensors[J]. Sens Actuators B Chem, 2015, 210:129-136.
8. LI Suiqiong, LI Yugui, CHEN Huiqin, et al. Direct detection of Salmonella typhimurium on fresh produce using phage-based magnetoelastic biosensors[J]. Biosens Bioelectron, 2010, 26(4):1313-1319.
9. PUCKETT L G, BARRETT G, KOUZOUDIS D, et al. Monitoring blood coagulation with magnetoelastic sensors[J]. Biosens Bioelectron, 2003, 18(5/6):675-681.
10. CHAI Yating, WIKLE H C, WANG Zhenyu, et al. Design of a surface-scanning coil detector for direct bacteria detection on food surfaces using a magnetoelastic biosensor[J]. J Appl Phys, 2013, 114(10):1-6.
11. 宋岭举, 郑小林, 廖彦剑, 等.基于MSP430的磁弹性传感器检测系统设计[J].传感器与微系统, 2016, 35(2):133-135, 139.
12. KOUZOUDIS D, NIKOLAKIS V. The use of a non-linear model for a more realistic calculation of the "ΔE effect" in magnetoelastic ribbons[J]. J Magn Magn Mater, 2015, 395:59-66.
13. 周进波, 谢志鹏, 杨唐胜.△E效应对磁弹性传感器的影响与分析[J].传感器与微系统, 2012, 31(10):54-56.
14. 程鹏, 高爽, 张文栋, 等.基于阻抗响应的磁弹性传感器共振频率测量系统[J].光学精密工程, 2014, 22(11):3012-3018.
15. 陈曦.生物医学磁弹性检测系统模块电路设计[D].重庆:重庆大学, 2015.

Journal of Biomedical Engineering

Design of a Low-power-consuming Magnetoelastic Sensor Detecting System Based on STM32

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