Monitor de Frequência Respiratória Utilizando Dois Acelerômetros
Abstract
The respiratory rate (RR) is an important information source about an individual health condition however, the options available, in addition to be very expensive, require a controlled environment and/or the usage of equipment not suitable for routine use. For data acquisition for measurement of RR, is proposed the use of two accelerometers, being one frontal to allow the reading of acceleration forces exerted on the trunk by the action of respiration and another on the back used as reference of movement perception. The objective of this work is to demonstrate the feasibility of such apparatus, allowing its use in vital sign monitoring projects.
References
Carey, D. G., Schwarz, L. A., Pliego, G. J. and Raymond, R. L. “Respiratory Rate Is a Valid and Reliable Marker for the Anaerobic Threshold: Implications for Measuring Change in Fitness”, Journal of Sports Science and Medicine 4, pp. 482-488, 2005.
Cretikos, M. A., Bellomo, R., Hillman, K., Chen, J., Finfer, S. and Flabouris, A. “Repiratory rate: the neglected vital sign”, MJA, vol. 188, number 11, pp. 657-659, 2008.
Bates, A., Ling, M. J., Mann J. and Arvind D. K. “Respiratory rate and flow waveform estimation from tri-axial accelerometer data”, International Conference on Body Sensor Networks, 2010.
Figueiredo, L. J., Gafaniz, A. R., Lopes, G. S. and Pereira, R. “Aplicações de Acelerômetros”, IAS 2007 – Instrumentação e Aquisição de Sinais. Lisboa, 2007.
Hung, P., Bonnet, S., Guillemand, R., Castelli, E. and Yen, P. “Estimation of respiratory waveform using an accelerometer”, Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium, pp. 1493-1496, 2008.
Yoon, J., Noh, Y., Kwon, Y., Kim, W. and Yoon, H. “Improvement of Dynamic Respiration Monitoring Through Sensor Fusion of Accelerometer and Gyro-sensor”, Journal of Electrical Engineering & Technology, Vol. 9, No. 1, pp. 334-343, 2014.
Bardolet, A. C. and Glowacz, A. “A Remote Patient Monitoring System using Android Mobile Devices”. Akademia Górniczo-Hutnicza Im. Stanislawa Staszica. 30th June 2014.
“Respiratory Rate.” Wikipedia: The Free Encyclopedia. Wikimedia Foundation, Inc.. 20nd January 2015. Web. 29nd January 2015. http://www.wikiwand.com/en/Respiratory_rate.
“MMA8452Q.” Freescale Semiconductor. Data Sheet: Technical Data. 01st February 2015. http://www.freescale.com/webapp/sps/site/prod_summary.jsp?code=M
Cretikos, M. A., Bellomo, R., Hillman, K., Chen, J., Finfer, S. and Flabouris, A. “Repiratory rate: the neglected vital sign”, MJA, vol. 188, number 11, pp. 657-659, 2008.
Bates, A., Ling, M. J., Mann J. and Arvind D. K. “Respiratory rate and flow waveform estimation from tri-axial accelerometer data”, International Conference on Body Sensor Networks, 2010.
Figueiredo, L. J., Gafaniz, A. R., Lopes, G. S. and Pereira, R. “Aplicações de Acelerômetros”, IAS 2007 – Instrumentação e Aquisição de Sinais. Lisboa, 2007.
Hung, P., Bonnet, S., Guillemand, R., Castelli, E. and Yen, P. “Estimation of respiratory waveform using an accelerometer”, Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium, pp. 1493-1496, 2008.
Yoon, J., Noh, Y., Kwon, Y., Kim, W. and Yoon, H. “Improvement of Dynamic Respiration Monitoring Through Sensor Fusion of Accelerometer and Gyro-sensor”, Journal of Electrical Engineering & Technology, Vol. 9, No. 1, pp. 334-343, 2014.
Bardolet, A. C. and Glowacz, A. “A Remote Patient Monitoring System using Android Mobile Devices”. Akademia Górniczo-Hutnicza Im. Stanislawa Staszica. 30th June 2014.
“Respiratory Rate.” Wikipedia: The Free Encyclopedia. Wikimedia Foundation, Inc.. 20nd January 2015. Web. 29nd January 2015. http://www.wikiwand.com/en/Respiratory_rate.
“MMA8452Q.” Freescale Semiconductor. Data Sheet: Technical Data. 01st February 2015. http://www.freescale.com/webapp/sps/site/prod_summary.jsp?code=M
Published
2015-07-20
How to Cite
MARCONDES, Clóvis; BATISTA, Leonardo; DE BRITO, Alisson.
Monitor de Frequência Respiratória Utilizando Dois Acelerômetros. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 15. , 2015, Recife.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2015
.
p. 31-40.
ISSN 2763-8952.
DOI: https://doi.org/10.5753/sbcas.2015.10363.
