Heart rate monitoring using ARM Soft Core Processor based System-on-Chip

Lim Chun Keat, Asral Bahari Jambek, Uda Hashim

Abstract


Data acquisition systems are used for data or signal monitoring in many applications. In the biomedical field, signals such as from an ECG, EEG or PPG are monitored using data acquisition systems. A review of several ARM processor-based data acquisition systems for biomedical applications is presented here. A new ARM processor-based system-on-chip architecture is presented for heart rate monitoring applications, which is implemented in Altera Cyclone II FPGA. A PPG-based sensor is used to carry out heart rate monitoring. An experiment is carried out to verify the functionality of the system by monitoring the heart rate of a student. Based on the results, the monitored heart rate is within the average range for heart rate. According to the compilation report, the total logic elements used were 4740, and the total power estimated for the system in Cyclone II FPGA is 199.59mW.

Keywords


ARM; Cortex-M0; DE2-70 board; Quartus II; PPG;

Full Text:

PDF

References


H. K. Chatterjee and M. Gupta, R.; Mitra, “A microcontroller based system for real-time heart rate estimation from ECG signal,” in 2012 Annual IEEE India Conference (INDICON), 2012, pp. 1020–1025.

H. Kim, R. F. Yazicioglu, S. Kim, N. V. H. A. Artes, M. Konijnenburg, J. Huisken, J. Penders, and C. Van Hoof, “A configurable and lowpower mixed signal SoC for portable ECG monitoring applications,” in 2011 Symposium on VLSI Circuits (VLSIC), 2011, pp. 142–143.

C. T. Chu, C. C. Ho, C. H. Chang, and M. C. Ho, “Non-invasive optical heart rate monitor base on one chip integration microcontroller solution,” in 2017 6th International Symposium on Next Generation Electronics (ISNE), 2017, pp. 1–4.

S. R. Sridhara, M. DiRenzo, S. Lingam, S. J. Lee, R. Blázquez, J. Maxey, S. Ghanem, Y. H. Lee, R. Abdallah, P. Singh, and M. Goel, “Microwatt embedded processor platform for medical system-on-chip applications,” IEEE J. Solid-State Circuits, vol. 46, no. 4, pp. 721–730, 2011.

J. Yiu, “ARM ® Cortex ® -M Processor based System Prototyping on FPGA,” in Embedded World Conference 2014, 2014, pp. 1–7.

N.-D. Ballpura and M. Road, “A Real-Time Pulse-Wave Data Acquisition System Based On Arm Processor,” Int. J. Adv. Inf. Sci. Technol., vol. 31, no. 31, pp. 10–13, 2014.

W. C. Fang, H. C. Huang, and S. Y. Tseng, “Design of heart rate variability processor for portable 3-lead ECG monitoring system-onchip,” Expert Syst. Appl., vol. 40, no. 5, pp. 1491–1504, 2013.

H. Liang, Z. Yanfang, and H. Lesheng, “Non-amplifying ECG signal acquisition system based on Σ-Δ A/D,” in IEEE 2011 10th Int. Conf. Electron. Meas. Instruments, 2011, pp. 105–108.

S. Izumi et al., “A Wearable Healthcare System With a 13.7 µA Noise Tolerant ECG Processor,” IEEE Trans. Biomed. Circuits Syst., vol. 9, no. 5, pp. 733–742, 2015.

S. Tracking, “Soldier Tracking and Health Indication System Using Arm Processor,” Int. J. Emerg. Trends Sci. Technol. Soldier, vol. 2, no. 5, pp. 2398–2403, 2015.

ARM Limited, ARMv6-M Architecture Reference Manual. ARM Ltd., 2010.

“DesignStart - ARM,” ARM Ltd. [Online]. Available: http://www.arm.com/products/designstart/. [Accessed: 11-Dec-2016].

Cortex -M0 Technical Reference Manual Copyright. ARM Ltd., 2009.

“8-Bit uP Compatible A/D Converters,” ADC0801/ADC0802/ADC0803/ADC0804/ADC0805 datasheet, December 1994, 1995.

“Pulse Sensor Amped,” 2015. [Online]. Available: http://pulsesensor.com/pages/pulse-sensor-amped-arduino-v1dot1.

G. Elert, “Frequency of a Beating Heart,” The Physics Factbook, 1998. [Online]. Available: http://hypertextbook.com/facts/1998/ArsheAhmed.shtml. [Accessed: 22-Sep-2016].

S. Sudin et al., “Wearable heart rate monitor using photoplethysmography for motion,” in 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), 2014, pp. 1015– 1018.

J. She, H. Nakamura, K. Makino, Y. Ohyama, and H. Hashimoto, “Selection of suitable maximum-heart-rate formulas for use with Karvonen formula to calculate exercise intensity,” Int. J. Autom. Comput., vol. 12, no. 1, pp. 62–69, 2015.

K. K. and N. Y. and H. S. and H. T. and N. A. A. B. H. M. and S. Takayama, “Physical Monitoring in Daily Life by Remote Body Area Network System,” J. Phys. Conf. Ser., vol. 588, no. 1, p. 12015, 2015.

“PowerPlay Power Analysis, Volume 3,” in Quartus II 9.1 Handbook, vol. 3, Altera Corporation, 2009, pp. 1–32.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

ISSN: 2180-1843

eISSN: 2289-8131