Non-invasive hemoglobin concentration measurements with multi-wavelength reflectance mode PPG sensor and CNN data processing.

Vladislav Lychagov, Vladimir Semenov, Elena Volkova, Dmitrii Chernakov, Joongwoo Ahn, Justin Younghyun Kim
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Abstract

Possibility of non-invasive hemoglobin concentration measurements with wearable devices have been evaluated. The proposed solution is based on the assumption that PPG waveform shape measured at various wavelengths in the reflectance mode carries information about in-depth distribution of optical pathlength in the tissue. Decomposition of temporal and spectral features of PPG signal have been applied to correct estimation of hemoglobin concentration. The dataset including 840 PPG waveforms from 170 volunteers have been collected for the purpose of neural network training and validation. The achieved performance (MAE~13.6 g/l, R~0.62) is confirmed with the invasive blood test.Clinical Relevance - This paper establishes possibility of non-invasive real time hemoglobin concentration measurements by means of low-cost wearable sensor with accuracy comparable to non-invasive clinical instruments.

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利用多波长反射模式 PPG 传感器和 CNN 数据处理技术进行无创血红蛋白浓度测量。
对利用可穿戴设备进行无创血红蛋白浓度测量的可能性进行了评估。所提出的解决方案基于以下假设:在反射模式下以不同波长测量的 PPG 波形形状包含组织中光路径长度深度分布的信息。PPG 信号的时间和光谱特征分解被用于正确估算血红蛋白浓度。数据集包括来自 170 名志愿者的 840 个 PPG 波形,用于神经网络的训练和验证。取得的性能(MAE~13.6 g/l,R~0.62)与有创血液测试结果相吻合。
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