TY - GEN
T1 - Synthesizing equivalent electric circuit for respiration and cardiac signals
AU - Allataifeh, Areen
AU - Ahmad, Mahmoud Al
N1 - Funding Information:
This work has been supported by the UAE ICT Fund. The authors would like to thank the Deputy vice chancellor of research office for their help and continuous support.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/31
Y1 - 2018/1/31
N2 - Modeling of the cardiac cycle and respiration signals helps to understand the characterization of these functions and determines any disorders of the heart and lungs function. In this research, Matlab software have been used to synthesize two equivalent electric circuit networks from signals of breathing and non-breathing. The signals are generated from a piezoelectric sensor placed on the chest. Prony toolbox have been used to extract transfer function that represents the signals, then Foster method have been utilized to synthesize the circuit networks. The equivalent circuits included five resonators with an inductance in series in the case of the heart beat signal. At breathing signal, the effect of the lungs added to the previous circuit a capacitor in series with the other components.
AB - Modeling of the cardiac cycle and respiration signals helps to understand the characterization of these functions and determines any disorders of the heart and lungs function. In this research, Matlab software have been used to synthesize two equivalent electric circuit networks from signals of breathing and non-breathing. The signals are generated from a piezoelectric sensor placed on the chest. Prony toolbox have been used to extract transfer function that represents the signals, then Foster method have been utilized to synthesize the circuit networks. The equivalent circuits included five resonators with an inductance in series in the case of the heart beat signal. At breathing signal, the effect of the lungs added to the previous circuit a capacitor in series with the other components.
KW - Circuit Network synthesis
KW - heart rate
KW - modeling
KW - piezoelectric sensor
KW - respiration
UR - http://www.scopus.com/inward/record.url?scp=85050868679&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050868679&partnerID=8YFLogxK
U2 - 10.1109/ICETAS.2017.8277834
DO - 10.1109/ICETAS.2017.8277834
M3 - Conference contribution
AN - SCOPUS:85050868679
T3 - 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
SP - 1
EP - 4
BT - 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Y2 - 29 November 2017 through 1 December 2017
ER -