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2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
A Robust Closed-Loop Control Algorithm for Mean Arterial Blood Pressure Regulation
Berkeley, CA
June 03-June 05
ISBN: 978-0-7695-3644-6
ASCII Text
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Guan-Zheng Liu, Lei Wang, Yuan-Ting Zhang, "A Robust Closed-Loop Control Algorithm for Mean Arterial Blood Pressure Regulation," Wearable and Implantable Body Sensor Networks, International Workshop on, pp. 77-81, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks, 2009.
 
 
BibTex
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@article{ 10.1109/BSN.2009.61,
author = {Guan-Zheng Liu and Lei Wang and Yuan-Ting Zhang},
title = {A Robust Closed-Loop Control Algorithm for Mean Arterial Blood Pressure Regulation},
journal ={Wearable and Implantable Body Sensor Networks, International Workshop on},
volume = {0},
year = {2009},
isbn = {978-0-7695-3644-6},
pages = {77-81},
doi = {http://doi.ieeecomputersociety.org/10.1109/BSN.2009.61},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Wearable and Implantable Body Sensor Networks, International Workshop on
TI - A Robust Closed-Loop Control Algorithm for Mean Arterial Blood Pressure Regulation
SN - 978-0-7695-3644-6
SP77
EP81
A1 - Guan-Zheng Liu,
A1 - Lei Wang,
A1 - Yuan-Ting Zhang,
PY - 2009
VL - 0
JA - Wearable and Implantable Body Sensor Networks, International Workshop on
ER -
 
This paper presents an expert body sensor network (BSN) algorithm for autonomous control of mean arterial blood pressure using vasoactive drugs. A robust Proportional Integral Differential (PID) control algorithm based on a statistics model was designated. Extensive simulation results indicated that the light-weighted expert BSN system is robust enough against sensitivity variations and various artificial disturbances.
Citation:
Guan-Zheng Liu, Lei Wang, Yuan-Ting Zhang, "A Robust Closed-Loop Control Algorithm for Mean Arterial Blood Pressure Regulation," bsn, pp.77-81, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks, 2009
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