양측 광용적맥파를 이용한 뇌경색의 비침습적 선별검사 = Noninvasive Screening of Cerebral Infarction Using Bilateral Photoplethysmography

다국어 초록 (Multilingual Abstract)

Background: Cerebral infarction is often associated with underlying cerebral vascular stenosis, such as carotid artery stenosis or cerebral artery stenosis due to arteriosclerosis. Existing imaging techniques, including carotid ultrasound, computed tomography angiography, and magnetic resonance angiography, are useful for diagnosis, but have limitations such as radiation exposure, contrast medium use side effects, and high cost. Therefore, the need for a simple, noninvasive, and cost-effective screening tool is emerging.
Objective: We developed a screening method for cerebral infarction that analyzes photoplethysmography (PPG) signals measured from both index fingers for 120 seconds.
Method: Using PPG to optically monitor pulse waves associated with blood volume changes, we processed the waveforms by segmenting and normalizing them. The study focused on extracting two main values: Maximum Positive Amplitude (MPA) and Maximum Negative Amplitude (MNA). These features served as inputs for Linear Discriminant Analysis (LDA), allowing us to successfully distinguish cerebral infarction patients from the normal group.
Results: As a result of analyzing 100 subjects (50 patients with cerebral infarction and 50 normal controls), the recognition rate based on MNA was 84%, MPA was 81%, and when the two indices were combined, it was 80%. Sensitivity was 80% for MNA and 72% for MPA, and specificity was 88% and 90%, respectively, suggesting that amplitude-based PPG indices can effectively reflect the presence or absence of cerebrovascular lesions.
Conclusion: This study suggests the possibility of simply identifying patients with cerebral infarction by analyzing PPG signals of both fingers. The proposed technique may used as a screening tool to complement existing imaging techniques, and is expected to contribute to reducing the burden of stroke through early diagnosis and preventive intervention in the future.

목차 (Table of Contents)

• 서론 1
• 연구 방법 3
• 결과 8
• 고찰 10
• 참고문헌 14
• 표 18
• 그림 19