Field Programmable Gate Array (FPGA) Respiratory Monitoring System Using a Flow Microsensor and an Accelerometer

Mellal, Idir; Laghrouche, Mourad; Bui, Hung Tien

doi:10.1515/msr-2017-0008

Abstract

This paper describes a non-invasive system for respiratory monitoring using a Micro Electro Mechanical Systems (MEMS) flow sensor and an IMU (Inertial Measurement Unit) accelerometer. The designed system is intended to be wearable and used in a hospital or at home to assist people with respiratory disorders. To ensure the accuracy of our system, we proposed a calibration method based on ANN (Artificial Neural Network) to compensate the temperature drift of the silicon flow sensor. The sigmoid activation functions used in the ANN model were computed with the CORDIC (COordinate Rotation DIgital Computer) algorithm. This algorithm was also used to estimate the tilt angle in body position. The design was implemented on reconfigurable platform FPGA.

References

[1] Vandenbussche, N.L., Overeem, S., Johannes, P., van. Dijk, J.P., Simons, P.J., Pevernagie, D.A. (2015). Assessment of respiratory effort during sleep: Esophageal pressure versus noninvasive monitoring techniques. Sleep Medicine Reviews, 24, 28-36.10.1016/j.smrv.2014.12.00625644984
Search in Google Scholar Back to article
[2] Chattopadhyay, M., Chowdhury, D. (2016). A new scheme for reducing breathing trouble through MEMS based capacitive pressure sensor. Microsystem Technologies, 22 (11), 2731-2736.10.1007/s00542-015-2707-0
Search in Google Scholar Back to article
[3] Zadeh, E.G., Gholamzadeh, B., Charca, G.A. (2016). Toward spirometry on chip: Design, implementation and experimental results. Microsystem Technologies, doi: 10.1007/s00542-016-3200-0.
Open DOI Search in Google Scholar Back to article
[4] Shany, T., Redmond, S.J., Narayanan, M.R., Lovell, N.H. (2012). Sensors-based wearable systems for monitoring of human movement and falls. IEEE Sensors Journal, 12 (3), 658-670.10.1109/JSEN.2011.2146246
Search in Google Scholar Back to article
[5] Luo, J., Wang, Z., Shen, Ch., Wen, Z., Liu, S., Cai, S., Li, J. (2015). Rotating shaft tilt angle measurement using an inclinometer. Measurement Science Review, 15 (5), 236-243.10.1515/msr-2015-0032
Search in Google Scholar Back to article
[6] Nam, Y., Park, J.W. (2013). Child activity recognition based on cooperative fusion model of a triaxial accelerometer and a barometric pressure sensor. IEEE Journal of Biomedical and Health Informatics, 17 (2), 420-426.
Search in Google Scholar Back to article
[7] Cao, Z., Zhu, R., Que, R.Y. (2011). A wireless portable system with microsensors for monitoring respiratory diseases. IEEE Transaction on Biomedical Engineering, 59 (11), 3110-3116.
Search in Google Scholar Back to article
[8] Becker, D.E., Casabianca, A.B. (2009). Respiratory monitoring: Physiological and technical considerations. Anesthesia Progress, 56 (1), 14-22.10.2344/0003-3006-56.1.14266250419562888
Search in Google Scholar Back to article
[9] Binu, E., Varsha, N.S. (2014). Real time monitoring of respiratory parameters using a wireless portable system. International Journal of Engineering Development and Research, 3 (1), 283-287.
Search in Google Scholar Back to article
[10] Zhu, R., Cao, Z., Que, R. (2014). Integration of micro sensors with mobile devices for monitoring vital signs of sleep apnea patients. In 9th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS), April 13-16, 2014. IEEE, 462-466.10.1109/NEMS.2014.6908850
Search in Google Scholar Back to article
[11] Laghrouche, M., Montes, L., Boussey, J., Ameur, S. (2011). Low-cost embedded spirometer based on micro machined polycrystalline thin film. Flow Measurement and Instrumentation, 22 (2), 126-130.10.1016/j.flowmeasinst.2010.12.012
Search in Google Scholar Back to article
[12] Laghrouche, M., Montes, L., Boussey, J., Meunier, D., Ameur, S., Adane, A. (2011). In situ calibration of wall shear stress sensor for micro fluidic application. In Proceedings of Eurosensors XXV, September 4-7, 2011, Athens, Greece.10.1016/j.proeng.2011.12.302
Search in Google Scholar Back to article
[13] Makhlouf, S., Laghrouche, M., Adane, A.E.H. (2016). Hot wire sensor-based data acquisition system for controlling the laminar boundary layer near plant leaves within a greenhouse. IEEE Sensors Journal, 16 (8), 2650-2657.10.1109/JSEN.2016.2518740
Search in Google Scholar Back to article
[14] Jun, S., Kochan, O. (2014). Investigations of thermocouple drift irregularity impact on error of their inhomogeneity correction. Measurement Science Review, 14 (1), 29-34.10.2478/msr-2014-0005
Search in Google Scholar Back to article
[15] Mellal, I., Laghrouche, M., Idjeri, B., Beguenane, R., Ameur, S. (2012). Implementation of ANN in FPGA for improved temperature drift of the MEMS flow sensor. Sensors & Transducers Journal, 145 (10), 1-9.
Search in Google Scholar Back to article
[16] Laghrouche, M., Idjeri, B., Hammouche, K., Tahanout, M., Boussey, J., Ameur, S. (2012). Temperature compensation of micromachined silicon hot wire sensor using ANN technique. Microsystem Technologies, 18 (3), 237-246.10.1007/s00542-012-1443-y
Search in Google Scholar Back to article
[17] Wanhammar, L. (1999). DSP Integrated Circuits. Academic Press.10.1016/B978-012734530-7/50001-5
Search in Google Scholar Back to article
[18] Valls, J., Kuhlmann, M., Parhi, K.K. (2002). Evaluation of CORDIC algorithms for FPGA design. Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, 32 (3), 207-222.10.1023/A:1020205217934
Search in Google Scholar Back to article
[19] Tiwari, V., Khare, N. (2015). Hardware implementation of neural network with Sigmoidal activation function using CORDIC. Microprocessors and Microsystems, 39 (6), 373-381.10.1016/j.micpro.2015.05.012
Search in Google Scholar Back to article
[20] Volder, J.E. (1959). The CORDIC trigonometric computing technique. IRE Transactions on Electronic Computers, EC-8 (3), 330-334.10.1109/TEC.1959.5222693
Search in Google Scholar Back to article
[21] Walther, J.S. (1971). A unified algorithm for elementary functions. In Proceedings of Spring Joint Computer Conference, May 18-20, 1971, 379-385.10.1145/1478786.1478840
Search in Google Scholar Back to article
[22] Kumar, N., Sappal, A.S. (2011). Cordinate rotation digital computer algorithm: Design and architectures. International Journal of Advanced Computer Science and Applications, 2 (4), 68-71.
Search in Google Scholar Back to article
[23] Liao, W.-T., Lin, W.-Y., Cheng, W.-C., Lei, K.F., Lee, M.-Y. (2013). Precision enhancement and performance evaluation of a CORDIC-based tilting angle identification algorithm for three-axis accelerometers. In International Symposium on Biometrics and Security Technologies (ISBAST), July 2-5, 2013. IEEE, 187-192.10.1109/ISBAST.2013.33
Search in Google Scholar Back to article
[24] Bensidhoum, M.T., Laghrouche, M., Sidi Said, A., Montes, L., Boussey, J. (2014). Fabrication flaws and reliability in MEMS thin film polycrystalline flow sensor. Microsystem Technologies, 20 (1), 1-7.10.1007/s00542-013-1977-7
Search in Google Scholar Back to article
[25] SparkFun Electronics. Triple Axis Accelerometer Breakout - BMA180. https://www.sparkfun.com/products/retired/9723.
Search in Google Scholar Back to article
[26] Altera Corporation. (2006). DE2 User Manual. ftp:// ftp.altera.com/up/pub/Webdocs/DE2_UserManual.pdf
Search in Google Scholar Back to article

Field Programmable Gate Array (FPGA) Respiratory Monitoring System Using a Flow Microsensor and an Accelerometer

Abstract

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