Paper
9 January 2008 Modeling of patient's blood pressure variation during ambulance transportation
Kenji Sakatani, Takahiko Ono, Yasuhide Kobayasi, Shinichi Hikita, Mitsuyuki Saito
Author Affiliations +
Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 67943K (2008) https://doi.org/10.1117/12.783961
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan
Abstract
In an emergency transportation by ambulance, a patient is transported in a supine position. In this position, a patient's blood pressure (BP) variation depending on an inertial force which occurs when an ambulance accelerates or decelerates. This BP variation causes a critical damage for a patent with brain disorder. In order to keep a patient stable during transportation, it is required to maintain small BP variation. To analyze the BP variation during transportation, a model of the BP variation has so far been made. But, it can estimate the BP variation only in braking. The purpose of this paper is to make a dynamical model of the BP variation which can simulate it in both braking and accelerating. First, to obtain the data to construct the model, we used a tilting bed to measure a head-to-foot acceleration and BP of fingertip. Based on this data, we build a mathematical model whose input is the head-to-foot acceleration and output is the Mean BP variation. It is a switched model which switches two models depending on the jerk. We add baroreceptor reflex to the model as a offset value.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenji Sakatani, Takahiko Ono, Yasuhide Kobayasi, Shinichi Hikita, and Mitsuyuki Saito "Modeling of patient's blood pressure variation during ambulance transportation", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67943K (9 January 2008); https://doi.org/10.1117/12.783961
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KEYWORDS
Data modeling

Mathematical modeling

Blood pressure

Brain

Switches

Head

Linear filtering

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