A Low-Power Autonomous Sensor Module for Biomedical Applications

• Autorzy: Sondej T. , Maciejewski M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the construction of an energy-efficient, stand-alone measurement module, designed for use in biomedical applications. The paper discusses the use of an algorithm implementing the acquisition and processing of data, whose main objective was to minimize energy consumption. For the construction of the measuring module, there are used a microcontroller with Cortex-M4F core and two external digital sensor systems: (1) analog-front-end circuit, designed to measure the ECG signal, and (2) a 3-axis system of an integrated accelerometer, gyroscope and magnetometer, made in MEMS technology. In order to minimize the energy consumption, the solutions proposed include dynamic frequency management, the introduction of sleep modes, and the use of selected hardware features of the microcontroller. The proposed techniques and algorithms are implemented to measure the ECG signal at a sampling rate of 250 Hz. Experimental studies of the sensor module constructed were carried out. As a result of the energy saving techniques used, the working time of the device was extended by more than 6 times.

Słowa kluczowe

EN

low-power; sensor; biomedical application

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2016
• Tom: Vol. 62, No. 6
• Strony: 206--208
• Opis fizyczny: Bibliogr. 7 poz., rys., schem., tab.

Twórcy

autor

Sondej T.

• Electronic Department, Military University of Technology The Jaroslaw Dabrowski, 2 Gen. Sylvester Kaliski St., 00-908 Warsaw 49, Poland

autor

Maciejewski M.

• Electronic Department, Military University of Technology The Jaroslaw Dabrowski, 2 Gen. Sylvester Kaliski St., 00-908 Warsaw 49, Poland

Bibliografia

• [1] Panic G., Basmer T., Tittelbach-Helmrich K. and Lopacinski L.: Low power sensor node processor architecture. Electronics, Circuits, and Systems (ICECS), 2010 17th IEEE Intern. Conference on, Athens, pp. 914-917, 2010.
• [2] Hayashikoshi M., Sato Y., Ueki H., Kawai H. and Shimizu T.: Normally-off MCU architecture for low-power sensor node. Design Automation Conference (ASP-DAC), 2014 19th Asia and South Pacific, Singapore, pp. 12-16, 2014.
• [3] Liu Y., Guobo Xie, Pinghua Chen, Jingyu Chen and Zhenkun Li: Designing an asynchronous FPGA processor for low-power sensor networks,. Signals, Circuits and Systems, ISSCS 2009. Intern. Symposium on, pp. 1-6, 2009.
• [4] Yamaguchi S., Miyazaki T., Kitamichi J., Song Guo, Tsukahara T. and Hayashi T.: Programmable wireless sensor node featuring low-power FPGA and microcontroller. Awareness Science and Technology and Ubi-Media Computing (iCAST-UMEDIA), 2013 Intern. Joint Conference on, pp. 596-601, 2013.
• [5] Leuenberger K. and Gassert R.: Low-power sensor module for long-term activity monitoring. Engineering in Medicine and Biology Society, EMBC, 2011 Annual Intern. Conference of the IEEE, Boston, MA, pp. 2237-2241, 2011.
• [6] STMicroelectronics, STM32F411xC/E advanced ARM-based 32-bit MCUs, Rev. 1, 08.2014.
• [7] Pan J., Tompkins W. J.: A Real-Time QRS Detection Algorithm. IEEE Trans. on Biomedical Engineering, vol. BME-32, no. 3, pp. 230-236, 1985.

Uwagi

EN

This work has been supported by the Military University of Technology, Warsaw, Poland, as a part of the project PBS918.