Serj Haddad, Assim Boukhayma, Antonino Caizzone
In this work, we present the Senbiosys blood pressure monitoring algorithm (SB-BPM) that solely requires a photoplethysmography (PPG) signal. The technology is based on pulse wave analysis (PWA) of PPG signals retrieved from different body locations to continuously estimate the systolic blood pressure (SBP) and the diastolic blood pressure (DBP).
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PPG Signals for Hypertension Diagnosis: A Novel Method using Deep Learning Models
本文提出利用PPG信号和AvgPool_VGG-16深度学习模型对高血压阶段进行多分类，实验证明该方法具有高准确率，为高血压诊断与管理提供了新途径。
Background and Objectives: In a significant portion of surgeries, blood pressure (BP) is often measured non-invasively in an intermittent manner. This practice has a risk of missing clinically relevant BP changes between two adjacent intermittent BP measurements. This study proposes a method to non-invasively estimate systolic blood pressure (SBP) with high accuracy in patients undergoing surgery. Methods: Continuous arterial BP, electrocardiography (ECG), and photoplethysmography (PPG) signals were acquired from 29 patients undergoing surgery. After extracting 9 features from the PPG and ECG …
Exploring the limitations of blood pressure estimation using the photoplethysmography signal
本研究开发基于校准的Siamese ResNet模型，对比PPG与有创动脉血压信号，评估PPG血压估计的潜力与局限，发现其信息相关但精度不足。
Observation of Blood Flow in Major Neck Vessels Modulated 1 by Physiological Maneuvers
本研究通过临床与自研PPG结合ECG，在健康志愿者中测试七种生理动作对颈部大血管血流的影响，发现Valsalva动作和IJV闭塞比传统动作具有更显著的血流调节潜力。
Objective: Evaluate a method for the estimation of the nocturnal systolic blood pressure (SBP) dip from 24-hour blood pressure trends using a wrist-worn photoplethysmography (PPG) sensor and a deep neural network in free-living individuals, comparing the deep neural network to traditional machine learning and non-machine learning baselines. Approach: A wrist-worn PPG sensor was worn by 106 healthy individuals for 226 days during which 5111 reference values for blood pressure (BP) were obtained with a 24-hour ambulatory BP monitor and matched with the PPG sensor data. Features based on heart ra…
We develop an algorithm that accurately detects Atrial Fibrillation (AF) episodes from photoplethysmograms (PPG) recorded in ambulatory free-living conditions. We collect and annotate a dataset containing more than 4000 hours of PPG recorded from a wrist-worn device. Using a 50-layer convolutional neural network, we achieve a test AUC of 95% and show robustness to motion artifacts inherent to PPG signals. Continuous and accurate detection of AF from PPG has the potential to transform consumer wearable devices into clinically useful medical monitoring tools.
Conjecture on reflectionlessness of blood-vascular system as a wave-conducting medium
本文针对外周血管系统，推导了参数极度不均匀条件下的波动力学控制方程，提出血液血管系统近似无反射的猜想，并利用无反射条件求解方程，以分析PPG与LDF信号之间的关系。
Photoplethysmography (PPG) is a method of detecting variation in blood volume commonly through contact with the skin and involving the usage of one or multiple sensors. PPG is typically used in health-related fields and one of its most popular uses is heart rate monitoring. Recent developments in technology have introduced wearable smart devices that can detect PPG signals. These devices mostly rely on signals that are detected at a single location, indicating that such devices require the signal waveform to be immensely reliable. In further detail, the properties of the blood circulation syst…
A Physiological-Model-Based Neural Network Framework for Blood Pressure Estimation from Photoplethysmography Signals
本研究提出基于生理模型的神经网络（PMB-NN）框架，从PPG信号估计血压并识别总外周阻力和动脉顺应性，初步实验在单名健康参与者中取得良好准确性，且估计的TPR和AC随活动强度增加而降低。
A Novel Clustering-Based Algorithm for Continuous and Non-invasive Cuff-Less Blood Pressure Estimation
本文提出一种基于聚类的连续无创无袖带血压估计方法，通过先对ECG和PPG特征聚类再分别回归，在MIMICII数据集上显著提升了SBP和DBP的估计精度。
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
针对PPG跨硬件与个体分布变化导致的隐空间偏移及ABP波形失真问题，提出LSCT，并结合CAM与MSEK提升波形重建，实验证明其性能优于现有方法。
Continuous Blood Monitoring with Particle-based Integrated Sensing and Communication (ISAC)
基于ISAC技术实现持续血液监测，通过电磁信号实时检测血象数据，革新个体与公共卫生管理
Synchro-Thermography: Monitoring ~10 mK Facial Temperature Changes with Heartbeat Referencing for Physiological Sensing
本文提出同步热成像技术，通过心跳参考监测面部温度变化，实现高精度血流监测用于生理传感。
Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography
本文提出了一种数学框架，证明心脏吸引子几何编码了足够的血压信息，用于AAMI标准估计，并通过校准的无创血压模型验证了该理论，利用光电容积图（PPG）进行血压估计。
In this paper we present an acquisition chain for the measurement of blood arterial pressure based on the oscillometric method. This method does not suffer from any limitation as the well-known auscultatory method and it is suited for wearable health monitoring systems. The device uses a pressure sensor whose signal is filtered, digitalized and analyzed by a microcontroller. Local analysis allows the evaluation of the systolic and diastolic pressure values which can be used for local alarms, data collection and remote monitoring.
To perform precision medicine in realtime at home, a device capable of long distance continuously monitoring target biomolecules in unprocessed blood under dynamic situations is essential. In this study, an integrative buffer free wireless device is developed to measure drug concentrations in patients blood in real time for remote clinical healthcare. To demonstrate its capability, the drug molecules (i.e., small molecule drug doxorubicin, DOX) are continuously measured in the unprocessed whole blood of live animals (e.g., rats). The dynamic changes of drug concentrations with sub minute tempo…
Blood damage (hemolysis) can occur during clinical procedures, e.g. dialysis, due to human error or faulty equipment, and it can cause significant harm to the patient or even death. We propose a simple technique to monitor changes in hemolysis levels accurately, continuously, and in real time. As red blood cells rupture, the overall conductivity of the blood increases. Here, we demonstrate that small changes in porcine blood hemolysis can be detected accurately through a simple resistance measurement.
A device based on Polarization sensitive optical coherence tomography is developed to monitor blood glucose levels in human subjects. The device was initially tested with tissue phantom. The measurements with human subjects for various glucose concentration levels are found to be linearly dependent on the degree of circular polarization obtainable from the PS-OCT.
Background: A smartphone is a promising tool for daily cardiovascular measurement and mental stress monitoring. A smartphone camera-based PhotoPlethysmoGraphy (PPG) and a low-cost thermal camera can be used to create cheap, convenient and mobile monitoring systems. However, to ensure reliable monitoring results, a person has to remain still for several minutes while a measurement is being taken. This is very cumbersome and makes its use in real-life mobile situations quite impractical. Objective: We propose a system which combines PPG and thermography with the aim of improving cardiovascular s…
Cross-View Attention Fusion Net: A Prior-Guided Dual-View Representation Learning for Cardiac Output Estimation from Short-Term PPG Signals
本文提出了一种基于先验信息的双视图深度学习模型CVAF-Net，用于从短时PPG信号估计心输出量，通过跨视图注意力融合技术提升模型性能，并在多个数据集上验证了其有效性。
Diabetes mellitus is a complex group of syndromes that have in common a disturbance in the body's use of glucose, resulting in an elevated blood sugar. Once detected, sugar diabetes can be controlled by an appropriate regimen that should include diet therapy, a weight reduction program for those persons who are overweight, a program of exercise and insulin injections or oral drugs to lower blood glucose. Blood glucose monitoring by the patient and the physician is an important aspect in the control of the devastating complications (heart disease, blindness, kidney failure or amputations) due t…
In this paper we present an electronic system to perform a non-invasive measurement of the blood pressure based on the oscillometric method, which does not suffer from the limitations of the well-known auscultatory one. Moreover the proposed system is able to evaluate both the systolic and diastolic blood pressure values and makes use of a microcontroller and a Sallen-Key active filter. With reference to other similar devices, a great improvement of our measurement system is achieved since it performs the transmission of the systolic and diastolic pressure values to a remote computer. This asp…
This paper is written in the context of the international Eurostars project, i-bracelet. The main objective of the i-bracelet project - "Intelligent bracelet for blood pressure monitoring and detection of preeclampsia" is the creation of a portable medical device for uninterrupted monitoring of blood pressure and to detect the blood pressure problems (such as hypertension) and, in particular, preeclampsia. In the current paper is described the software component of this system used for monitoring, viewing and analyzing the blood pressure values coming from a smart bracelet developed in the con…
PPG-Based Heart Rate Accuracy in Diverse Populations: Investigating Inequities Across Body Composition and Skin Tones
本研究评估了四种腕戴设备在不同身体成分和肤色人群中的心率监测准确性，发现高BMI和深肤色与更高的误差相关，需改进算法以实现公平的健康监测。
Diabetes is a chronicle disease where the body of a human is irregular to dissolve the blood glucose properly. The diabetes is due to lack of insulin in human body. The continuous monitoring of blood glucose is main important aspect for health care. Most of the successful glucose monitoring devices is based on methodology of pricking of blood. However, such kind of approach may not be advisable for frequent measurement. The paper presents the extensive review of glucose measurement techniques. The paper covers various non-invasive glucose methods and its control with smart healthcare technolog…
Cerebral blood flow monitoring using a deep learning implementation of the two-layer DCS analytical model with a 512x512 SPAD array
本研究提出一种结合SPAD阵列与深度学习的双层DCS模型，实现实时脑血流监测，误差低至5.8%，灵敏度达87.1%，速度提升750倍，并在人体实验中验证了有效性。
Circuit-free cardiovascular monitoring via skin-interfaced nanophotonics
该研究提出了一种无需电路的光学方法，利用皮肤接触的纳米结构表面衍射检测动脉脉搏，实现无需电子设备的持续心血管监测。
pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis
本文开发了开源Python工具箱pyPPG，用于标准化连续PPG信号分析，实现了高精度峰值与基准点检测，并构建了74个PPG生物标志物，为血管动力学研究和数据驱动建模提供了标准化工具。
Infrared light scattering methods have been developed and employed to non-invasively monitor human cerebral blood flow (CBF). However, the number of reflected photons that interact with the brain is low when detecting blood flow in deep tissue. To tackle this photon-starved problem, we present and demonstrate the idea of interferometric speckle visibility spectroscopy (ISVS). In ISVS, an interferometric detection scheme is used to boost the weak signal light. The blood flow dynamics are inferred from the speckle statistics of a single frame speckle pattern. We experimentally demonstrated the i…
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