A trial of linear dynamic model extension to improve prediction accuracy of core temperature change for persons with spinal cord injury

A trial of linear dynamic model extension to improve prediction accuracy of core temperature change for persons with spinal cord injury
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线性动态模型扩展提高脊髓损伤患者核心温度变化预测准确性的试验

DOI:
10.1109/sii46433.2020.9026179
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发表时间:
2020
期刊:
IEEE/SICE International Symposium on System Integration
影响因子:
--
通讯作者:
Takashima Atsushi
Takashima Atsushi
中科院分区:
--
文献类型:
--
作者:
Yokota Masaru;Suzurikawa Jun;Higuchi Yukiharu;Tamura Toshiyo;Kurabayashi Daisuke;Inoue Takenobu;Ogata Toru;Takashima Atsushi

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脊髓损伤(SCI)患者由于神经系统受损而出现体温调节障碍。他们的身体经常在高温下运动时积累热量,他们的核心温度在不知不觉中继续上升。防止这类病人的热积聚。我们为SCI患者提出了一个线性动态模型,重点关注空气温度和运动负荷的热输入,我们预测了核心温度,误差为0.2 °C。本文通过添加参数的方法对拟合误差进行了验证,并在改变参数辨识条件的情况下,对添加参数后的模型和原模型的预测误差进行了评估。结果表明,通过增加模型参数,拟合误差得到了改善,但长期预测精度没有得到改善。用多种情况下采集的数据辨识出的线性动态模型预测SCI患者的核心温度是有效的。
Persons with spinal cord injury (SCI) experience thermoregulatory disturbances because of the damage to their nervous systems. Their bodies often accumulate heat while exercising under high temperatures, and their core temperature continues to rise unconsciously. To prevent heat accumulation of such patients. We proposed a linear dynamic model for people suffering from SCIs focusing heat inputs that are air temperature and exercise load, and we predicted the core temperature with the error of 0.2 °C. In this paper, we verified the fitting error by adding the parameters, and its prediction errors were evaluated changing the condition of the parameter identification using the model with added parameters and previous model. As a result, it was confirmed that the fitting error was improved by adding the model parameters, but longterm prediction accuracy was not improved. Using the linear dynamic model identified by the data sampled from several conditions is effective to predict the core temperatures of persons with SCI.
DOI: 10.1109/gcce.2015.7398742
发表时间: 2015-10
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影响因子: --
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