Abstract
In this paper, we present an Android application to control and monitor the physiological sensors from the Shimmer platform, which include ECG (Electrocardiogram), EMG (Electromyogram), and GSR (Galvanic Skin Response) modules and accelerometer, magnetometer, and gyroscope. The application can configure, select, receive, and represent graphically and store the signals from the sensors. Experimental results with two Android devices were carried out. The ECG, EMG, GSR, and gyroscope sensors were monitored simultaneously at a sampling rate of 10.2 Hz. The application can be applied to many different users such as patients with chronic diseases, athletes, or drivers.
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References
Statista. http://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/
Kaniusas, E.: Biomedical Signals and Sensors I. Springer-Verlag, Heidelberg (2012)
Xia, H., Asif, I., Zhao, X.: Cloud-ECG for real time ECG monitoring and analysis. Comput. Methods Programs Biomed. 110(3), 253–259 (2013)
Liu, L., Chen, X., Lu, Z., Cao, S., Wu, D., Zhang, X.: Development of an EMG-ACC-based upper limb rehabilitation training system. IEEE Tran. Neural Syst. Rehabil. Eng. doi:10.1109/TNSRE.2016.2560906
Lou, D., Chen, X., Zhao, Z., Xuan, Y., Xu, Z., Jin, H., Guo, X., Fang, Z.: A wireless health monitoring system based on android operating system. IERI Procedia 4, 208–215 (2013)
Burns, A., Greene, B.R., McGrath, M.J., O’Shea, T.J., Kuris, B., Ayer, S.M., Stroiescu, F., Cionca, V.: SHIMMER™ – a wireless sensor platform for noninvasive biomedical research. IEEE Sensors J. 10(9), 1527–1534 (2010)
Dao, T.T., Tannous, H., Pouletaut, P., Gamet, D., Istrate, D., Ho Ba Tho, M.C.: Interactive and connected rehabilitation systems for E-Health. IRBM, doi:http://dx.doi.org/10.1016/j.irbm.2016.02.003
Abbate, S., Avvenuti, M., Bonatesta, F., Cola, G., Corsini, P., Vecchio, A.: A smartphone-based fall detection system. Pervasive Mobile Comput. 8, 883–899 (2012)
Shimmer sensing. http://www.shimmersensing.com
Acknowledgements
This work was partially supported by the National Department of Traffic (belonging to the Interior Ministry) under project SPIP2015-01801.
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González-Ortega, D., Díaz-Pernas, F.J., Khadmaoui, A., Martínez-Zarzuela, M., Antón-Rodríguez, M. (2016). Android Application to Monitor Physiological Sensor Signals Simultaneously. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2016. Lecture Notes in Computer Science(), vol 10069. Springer, Cham. https://doi.org/10.1007/978-3-319-48746-5_23
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DOI: https://doi.org/10.1007/978-3-319-48746-5_23
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