BP-Diff:使用 U-Net 估算无袖带连续血压波形的条件扩散模型。

IF 2.3 4区 医学 Q3 BIOPHYSICS Physiological measurement Pub Date : 2024-10-14 DOI:10.1088/1361-6579/ad7fcc
Yinsong Liu, Junsheng Yu, Hanlin Mou
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引用次数: 0

摘要

目的:连续监测血压(BP)对日常医疗保健至关重要。虽然侵入性方法可以提供精确的连续血压测量,但并不适合常规使用。光电透射血压计(PPG)是一种非侵入性技术,可利用光线检测微循环中的血容量变化,有望用于血压测量。本研究的主要目标是开发一种基于 PPG 的新型无袖带方法,用于准确估计连续血压。我们介绍了 BP-Diff,这是一种利用条件扩散概率模型和 U-Net 架构进行无袖带连续血压波形估计的端到端方法。这种方法利用了扩散模型的随机特性和 U-Net 强大的特征表示能力。它将连续 BP 波形整合为初始状态,并将 PPG 信号及其导数作为指导训练和采样过程的条件。使用未校准和校准方案对 BP-Diff 进行了评估。结果表明,在未经校准的情况下,BP-Diff 可以准确跟踪血压动态,包括峰值和谷值位置以及时间。校准后,BP-Diff 可实现高度准确的血压估计。根据校准后的 BP-Diff 模型估计的血压波形以及收缩压(SBP)、舒张压(DBP)和平均动脉压(MAP)的平均绝对误差(MAE)分别为 2.99 毫米汞柱、2.6 毫米汞柱、1.4 毫米汞柱和 1.44 毫米汞柱。一致性测试(包括 Bland-Altman 分析和 Pearson 相关性)证实,与参考血压相比,BP-Diff 具有很高的可靠性。BP-Diff 符合美国医疗仪器协会 (AAMI) 的标准,并获得了英国高血压协会 (BHS) 的 A 级认证。这项研究利用 PPG 信号开发了一种新型无袖带连续血压测量方法,证明它优于现有方法。该方法适合集成到可穿戴设备中,为日常医疗保健中的连续血压监测提供了实用的解决方案。
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BP-diff: a conditional diffusion model for cuffless continuous BP waveform estimation using U-Net.

Objective.Continuous monitoring of blood pressure (BP) is crucial for daily healthcare. Although invasive methods provide accurate continuous BP measurements, they are not suitable for routine use. Photoplethysmography (PPG), a non-invasive technique that detects changes in blood volume within the microcirculation using light, shows promise for BP measurement. The primary goal of this study is to develop a novel cuffless method based on PPG for accurately estimating continuous BP.Approach.We introduce BP-Diff, an end-to-end method for cuffless continuous BP waveform estimation utilizing a conditional diffusion probability model combined with a U-Net architecture. This approach takes advantage of the stochastic properties of diffusion models and the strong feature representation capabilities of U-Net. It integrates the continuous BP waveform as the initial status and uses the PPG signal and its derivatives as conditions to guide the training and sampling process.Main results.BP-Diff was evaluated using both uncalibrated and calibrated schemes. The results indicate that, when uncalibrated, BP-Diff can accurately track BP dynamics, including peak and valley positions, as well as timing. After calibration, BP-Diff achieved highly accurate BP estimations. The mean absolute error of the estimated BP waveforms, along with the systolic BP, diastolic BP, and mean arterial pressure from the calibrated BP-Diff model, were 2.99 mmHg, 2.6 mmHg, 1.4 mmHg, and 1.44 mmHg, respectively. Consistency tests, including Bland-Altman analysis and Pearson correlation, confirmed its high reliability compared to reference BP. BP-Diff meets the American Association for Medical Instrumentation standards and has achieved a Grade A from the British Hypertension Society.Significance.This study utilizes PPG signals to develop a novel cuffless continuous BP measurement method, demonstrating superiority over existing approaches. The method is suitable for integration into wearable devices, providing a practical solution for continuous BP monitoring in everyday healthcare.

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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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