지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.12
- 수록면
- 521 - 529 (9page)
- DOI
- 10.4283/JMAG.2023.28.4.521
이용수
초록· 키워드
오류제보하기
Long periods of stress and depression can cause heart disease, brain disease, and high blood pressure. However, regardless of the advancements in modern medicine, stroke patients face difficulties without special medicines or treatments. A computer simulation is conducted to predict stroke risk factors using a magnetoplethysmogram equipped with a magnetic sensing Hall device to analyze radial artery pulses. We use logistic regression analysis to determine the vacuous pulse from the clinical data of 60 patients with deficiency syndrome and perform a computer simulation to determine stroke and early stage diseases using a TensorFlowbased open source. Additionally, computer simulations using brachycardia diagnostic cluster analysis and fuzzy inference, which are used in oriental medicine, are conducted to improve the prediction rate of stroke by more than 10%.
목차
1. Introduction
2. Stroke Self-diagnosis
3. Pulse Diagnosis for Deficiency Patients using MPG
4. Computer Simulation
5. Conclusion
References
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