摘要 本論文以紅外光體積描記圖(Photoplethysmography, PPG)為測量人體生理功能之方法,提出一項新的生理指標參數ΔPI (Delta Perfusion Index,ΔPI),亦即在一段測量時間內末梢血液灌流量的最大變化差異值,並以此生理參數指標設計一套方便居家使用的生理訊號量測系統,經由心率與末梢組織血液灌流量PI (Perfusion Index, PI)量測,再透過簡易運動前、中、後的比較,即可自我進行心肺功能之評估。 本論文研究,是以腳踏車運動為實驗設計之主體,觀察每位受測者在預設之三種不同運動強度下之ΔPI,同時將每位受測者之體適能活動指數進行相關性實驗結果分析。經由30位平均年齡在24歲的受測者資料分析結果顯示,受測者在運動強度到達有效運動之後,受測者生理指標參數ΔPI與體適能活動指數的相關性可達0.85。當受測者運動強度到達有氧運動程度後,生理指標參數ΔPI與體適能活動指標之相關性提升到0.89。 由此相關分析顯示,本論文所提出的末梢血液灌流量的最大變化量差異值(ΔPI)與體適能活動指數呈現有意義的相關性。此結果亦顯示,ΔPI將有助於評估運動強度時,不同階段的生理指標刻度,有助於後續在運動醫學、自我健康管理與保健等領域之研究。 另外,本論文以ECG心電技術作為標準驗證PPG之光電技術亦能使用於心跳恢復率實驗,驗證結果兩者相關度達0.99 ( p < 0.01 ),證明PPG也能用於心跳恢復率實驗。
Abstract In this study, a new physiological parameter ΔPI (Delta Perfusion Index, ΔPI) was proposed based on infrared photoplethysmography as a method of body physiological function measurement, represented the maximum value of the difference changing in peripheral blood perfusion. Meanwhile, a physiological signal measurement system that could be conveniently used at home for heart rate and peripheral tissue blood perfusion PI (Perfusion Index, PI) measurement was designed. By comparing the simple test results of before, in the middle and after exercise, it can perform self-cardiopulmonary function assessment. By the main design of the experiment of the bicycle exercise, each subject's ΔPI was observed in three different default exercise intensities, and followed by the correlation analysis of the results with each subject's physical fitness activity index. The data analysis results of 30 subject's in the average age by 24-year-old showed that after reached effective exercise intensity, subject's ΔPI and the physical fitness activity index correlation was 0.85. When reached aerobic exercise intensity, subject's ΔPI and the physical fitness activity index correlation rose to 0.89. This correlation analysis revealed that the difference value of the maximum amount of peripheral blood perfusion changes (ΔPI) proposed in this study and physical fitness activity index had significant correlation. The results also proved that ΔPI could be useful in assessing the exercise intensity in different levels of physiological indicator scales, which might contribute to the follow-up studies in sports medicine, self-health management and health and other fields. In addition, ECG technology was used as a standard to verify that PPG optical technology also could be applied in heart recovery rate experiment. It was proved by the result of 0.99 (p-value < 0.01) of the correlation between the two.