PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms.
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms.
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DOI：
10.3390/bioengineering9110692
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发表时间：
2022-11-15
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心血管疾病是最严重的死亡原因之一，每年在全世界造成严重的生命损失。持续监测血压似乎是最可行的选择，但这需要一个侵入性的过程，由于非侵入性技术不准确，引入了几层复杂性和可靠性问题。这促使我们开发一种方法来估计连续动脉血压（ABP）波形，通过非侵入性的方法使用光电容积脉搏波（PPG）信号。我们探索了深度学习的优势，因为它可以让我们摆脱仅通过使手工特征计算无关紧要来坚持理想形状的PPG信号，这是现有方法的缺点。因此，我们提出了PPG2ABP，这是一种基于两阶段级联深度学习的方法，能够从输入PPG信号中估计连续ABP波形，平均绝对误差为4.604 mmHg，同时保持形状，幅度和相位一致。然而，PPG2ABP的更惊人的成功是，从估计的ABP波形计算的舒张压（DBP）、平均动脉压（MAP）和收缩压（SBP）的值在几个指标下优于现有的工作（平均绝对误差分别为3.449 ± 6.147 mmHg、2.310 ± 4.437 mmHg和5.727 ± 9.162 mmHg），尽管PPG2ABP未明确接受过培训。值得注意的是，对于DBP和MAP，我们在BHS（英国高血压协会）标准中达到A级，并满足AAMI（医疗器械促进协会）标准。
Cardiovascular diseases are one of the most severe causes of mortality, annually taking a heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the most viable option, but this demands an invasive process, introducing several layers of complexities and reliability concerns due to non-invasive techniques not being accurate. This motivates us to develop a method to estimate the continuous arterial blood pressure (ABP) waveform through a non-invasive approach using Photoplethysmogram (PPG) signals. We explore the advantage of deep learning, as it would free us from sticking to ideally shaped PPG signals only by making handcrafted feature computation irrelevant, which is a shortcoming of the existing approaches. Thus, we present PPG2ABP, a two-stage cascaded deep learning-based method that manages to estimate the continuous ABP waveform from the input PPG signal with a mean absolute error of 4.604 mmHg, preserving the shape, magnitude, and phase in unison. However, the more astounding success of PPG2ABP turns out to be that the computed values of Diastolic Blood Pressure (DBP), Mean Arterial Pressure (MAP), and Systolic Blood Pressure (SBP) from the estimated ABP waveform outperform the existing works under several metrics (mean absolute error of 3.449 ± 6.147 mmHg, 2.310 ± 4.437 mmHg, and 5.727 ± 9.162 mmHg, respectively), despite that PPG2ABP is not explicitly trained to do so. Notably, both for DBP and MAP, we achieve Grade A in the BHS (British Hypertension Society) Standard and satisfy the AAMI (Association for the Advancement of Medical Instrumentation) standard.
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DOI：
10.3390/s22093169
发表时间：
2022-04-21
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
通讯作者：
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影响因子：
3.3
作者：
Giavarina D
通讯作者：
Giavarina D
影响因子：
6.1
作者：
Baker, Stephanie;Xiang, Wei;Atkinson, Ian
通讯作者：
Atkinson, Ian
DOI：
10.1109/tim.2011.2123210
发表时间：
2011-08-01
影响因子：
5.6
作者：
Forouzanfar, Mohamad;Dajani, Hilmi R.;Rajan, Sreeraman
通讯作者：
Rajan, Sreeraman
影响因子：
3
作者：
Gesche, Heiko;Grosskurth, Detlef;Patzak, Andreas
通讯作者：
Patzak, Andreas