AIMC Topic: Blood Volume
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Physiological Sensor Modality Sensitivity Test for Pain Intensity Classification in Quantitative Sensory Testing.
Sensors (Basel, Switzerland)
Mar 26, 2025
Chronic pain is prevalent and disproportionately impacts adults with a lower quality of life. Although subjective self-reporting is the "gold standard" for pain assessment, tools are needed to objectively monitor and account for inter-individual diff...
Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals.
Sensors (Basel, Switzerland)
Apr 14, 2023
Critically ill patients often lack cognitive or communicative functions, making it challenging to assess their pain levels using self-reporting mechanisms. There is an urgent need for an accurate system that can assess pain levels without relying on ...
Improved neural network for predicting blood donations based on two emergent factors.
Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine
Jan 25, 2023
BACKGROUND: Blood donation forecasting is a critical part of blood supply chain management. However, few studies have focused on modeling blood donation with different emergency factors. The purpose of this study was to investigate the effects of dif...
AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.
Sensors (Basel, Switzerland)
Mar 30, 2022
The application of artificial intelligence (AI) has provided new capabilities to develop advanced medical monitoring sensors for detection of clinical conditions of low circulating blood volume such as hemorrhage. The purpose of this study was to com...
Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure.
BMC nephrology
Aug 9, 2021
BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to intradialytic symptoms, such as hypotension, nausea, vomiting, and cramping/myalgia. Relative blood volume (RBV) plays an important role in adapting the ...
Prognostic Value of Pulmonary Transit Time and Pulmonary Blood Volume Estimation Using Myocardial Perfusion CMR.
JACC. Cardiovascular imaging
May 19, 2021
OBJECTIVES: The purpose of this study was to explore the prognostic significance of PTT and PBVi using an automated, inline method of estimation using CMR.
The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals.
Sensors (Basel, Switzerland)
Feb 6, 2020
This study aimed to design an optimal emotion recognition method using multiple physiological signal parameters acquired by bio-signal sensors for improving the accuracy of classifying individual emotional responses. Multiple physiological signals su...
SVR-EEMD: An Improved EEMD Method Based on Support Vector Regression Extension in PPG Signal Denoising.
Computational and mathematical methods in medicine
Dec 12, 2019
Photoplethysmography (PPG) has been widely used in noninvasive blood volume and blood flow detection since its first appearance. However, its noninvasiveness also makes the PPG signals vulnerable to noise interference and thus exhibits nonlinear and ...
Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics using neural network regression.
Magnetic resonance in medicine
Nov 21, 2019
PURPOSE: Arterial Spin Labeling (ASL) is a quantitative, non-invasive alternative for perfusion imaging that does not use contrast agents. The magnetic resonance fingerprinting (MRF) framework can be adapted to ASL to estimate multiple physiological ...
A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable Devices.
Journal of healthcare engineering
Oct 3, 2019
Detection of the state of mind has increasingly grown into a much favored study in recent years. After the advent of smart wearables in the market, each individual now expects to be delivered with state-of-the-art reports about his body. The most dom...
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