| Project/Area Number |
16K01420
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Medical systems
|
|---|
| Research Institution | Tokai University |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2016-04-01 – 2019-03-31
|
| Project Status |
Completed (Fiscal Year 2018)
|
| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
|---|
| Keywords | 脳蘇生 / 治療システム / 生理状態モデリング / 自動制御システム / 脳温 / 脳圧 / 脳血流量 / 脳代謝 / 脳血液循環 / 脳組織水分移動 / 脳組織熱移動 / 生理状態モデル / 自動制御 / モデル / 脳生理状態 / 脳血流 / 集中治療 / 脳低温療法 / 脳蘇生治療システム |
|---|
| Outline of Final Research Achievements |
In this research, a model of cerebral blood circulation, a model of cerebral water migration, a model of cerebral heat migration, and a model of cerebral metabolism were constructed as the elements of the cerebral physiological condition model. this model is required as the controlled object in the simulation test of the automatic control system of cerebral physiological conditions such as intracranial pressure, cerebral blood flow, brain temperature, and cerebral tissue concentration of metabolic substances such as glucose, oxygen, and carbon dioxide. And, with regard to the model of cerebral blood circulation, the previous static model was improved to the dynamic model, by which the amount of blood storage in cerebral tissue can be also calculated up. The above results have been presented at the annual conference of Japan Society for Medical and Biological Engineering and at several international conferences concerned with biomedical engineering.
|
| Academic Significance and Societal Importance of the Research Achievements |
本研究で開発を目指している脳生理状態自動制御システムは、脳蘇生の臨床ガイドラインで欠かせないとされている脳圧、脳血流量、脳温の厳重な管理を、脳細胞の生死にかかわる代謝の動態まで考慮して自動化するものである。このシステムの実現により、脳蘇生治療の効果向上だけでなく、最近特に労働時間が問題視されている従事者の負担と年々増加しつづけている医療費の削減が期待できる。今回の成果は、その設計と性能評価のために必要な脳生理状態モデルの部分的構築であると言え、今後の開発に弾みをつけるものである。
|
