Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 |
| Pages | 2207-2212 |
| Number of pages | 6 |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom (UK) Duration: 13 Oct 2013 → 16 Oct 2013 |
Publication series
| Name | Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 |
|---|
Abstract
A noninvasive continuous blood pressure measurement technique that has been developed lately requires precise control of the blood flow through a superficial artery. The flow is measured using ultrasound and influenced via manipulating the pressure inside an inflatable air balloon which is placed over the artery. This contribution is concerned with the design and evaluation of a learning cascaded control structure for such measurement devices. Two feedback control loops are designed in discrete time via pole placement and then combined with an iterative learning control. The latter exploits the repetitive nature of the disturbance that is induced by the oscillating arterial pressure. Experimental results indicate that the proposed controller structure yields considerably smaller setpoint deviations than previous approaches.
Keywords
- Biomedical systems, Blood pressure measurement, Cascade control, Feedback control, Iterative learning control
ASJC Scopus subject areas
- Computer Science(all)
- Human-Computer Interaction
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Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 2013. p. 2207-2212 6722131 (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Iterative learning cascade control of continuous noninvasive blood pressure measurement
AU - Seel, Thomas
AU - Schauer, Thomas
AU - Weber, Sarah
AU - Affeld, Klaus
N1 - ACKNOWLEDGMENT The authors would like to thank Florian Heptner and Ralph Stephan for their dedication to the project and in particular for programming the microcontroller for data acquisition and hardware control as well as the PC interface. Furthermore, we highly acknowledge Peter Scharfschwerdt’s support with the electronics and with the experiments.
PY - 2013
Y1 - 2013
N2 - A noninvasive continuous blood pressure measurement technique that has been developed lately requires precise control of the blood flow through a superficial artery. The flow is measured using ultrasound and influenced via manipulating the pressure inside an inflatable air balloon which is placed over the artery. This contribution is concerned with the design and evaluation of a learning cascaded control structure for such measurement devices. Two feedback control loops are designed in discrete time via pole placement and then combined with an iterative learning control. The latter exploits the repetitive nature of the disturbance that is induced by the oscillating arterial pressure. Experimental results indicate that the proposed controller structure yields considerably smaller setpoint deviations than previous approaches.
AB - A noninvasive continuous blood pressure measurement technique that has been developed lately requires precise control of the blood flow through a superficial artery. The flow is measured using ultrasound and influenced via manipulating the pressure inside an inflatable air balloon which is placed over the artery. This contribution is concerned with the design and evaluation of a learning cascaded control structure for such measurement devices. Two feedback control loops are designed in discrete time via pole placement and then combined with an iterative learning control. The latter exploits the repetitive nature of the disturbance that is induced by the oscillating arterial pressure. Experimental results indicate that the proposed controller structure yields considerably smaller setpoint deviations than previous approaches.
KW - Biomedical systems
KW - Blood pressure measurement
KW - Cascade control
KW - Feedback control
KW - Iterative learning control
UR - http://www.scopus.com/inward/record.url?scp=84893604706&partnerID=8YFLogxK
U2 - 10.1109/SMC.2013.378
DO - 10.1109/SMC.2013.378
M3 - Conference contribution
AN - SCOPUS:84893604706
SN - 9780769551548
T3 - Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
SP - 2207
EP - 2212
BT - Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
T2 - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Y2 - 13 October 2013 through 16 October 2013
ER -