Results 51 to 60 of about 1,600 (150)
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar +10 more
wiley +1 more source
Evaluation of recrosslinkable preformed particle gel (RPPG) as a fluid loss control material during drilling operations [PDF]
One of the most intense, expensive, and time-consuming problems during drilling operations is the loss of circulation, which could result in several consequences, including wellbore collapse, fluid inflow, formation damage, environmental issues, and ...
Ahdaya, Mohamed Saad M.
core +1 more source
Improved Remote Photoplethysmography Using Machine Learning-Based Filter Bank
Remote photoplethysmography (rPPG) is a non-contact technology that monitors heart activity by detecting subtle color changes within the facial blood vessels.
Jukyung Lee, Hyosung Joo, Jihwan Woo
doaj +1 more source
Parameter‐Efficient Deep Learning Models for Vital Sign Estimation From PPG
This work introduces highly parameter‐efficient, fully convolutional deep learning models for end‐to‐end estimation of heart rate, blood oxygen saturation and respiratory rate directly from PPG signals. The compact models achieve strong cross‐dataset performance and are demonstrated to be practical for on‐device deployment on target devices.
Taha Samavati +2 more
wiley +1 more source
Remote photoplethysmography with constrained ICA using periodicity and chrominance constraints
Background Remote photoplethysmography (rPPG) has been in the forefront recently for measuring cardiac pulse rates from live or recorded videos. It finds advantages in scenarios requiring remote monitoring, such as medicine and fitness, where contact ...
Richard Macwan +2 more
doaj +1 more source
Atrial fibrillation (AF) is often asymptomatic and paroxysmal. Screening and monitoring are needed especially for people at high risk. This study sought to use camera-based remote photoplethysmography (rPPG) with a deep convolutional neural network (DCNN)
Yu Sun +6 more
doaj +1 more source
Modern healthcare multimedia Internet of Things (IoT) systems are systematically integrating face video, respiratory audio, and wearable physiological signals for remote clinical monitoring. However, this evidence can be replayed, spoofed, substituted, or temporally desynchronized before reaching clinical inference. To address these risks, we propose a
Krishna Prasad Satamraju +6 more
wiley +1 more source
Contactless Measurement of Pulse Transit Time Between Upper Extremities During Simulated Stenosis
This paper proposes a novel approach for the noninvasive assessment of different degrees of stenosis by remote photoplethysmography (rPPG) using an RGB camera.
Tauber Samuel +3 more
doaj +1 more source
Advancing remote photoplethysmography (rPPG) to facilitate cardiac monitoring in naturalistic settings using webcam technology. [PDF]
Remote photoplethysmography (rPPG) is a technique for the monitoring of cardiac signals using simple consumer-grade cameras, such as webcams. Its cost-effectiveness and accessibility make it a promising tool for widespread application, particularly in ...
Woelk SP +3 more
europepmc +2 more sources
Objective In hemodialysis, hypotension may occur due to fluid removal, but traditional intermittent blood pressure measurements risk missing its onset. We are aimed to enabling noninvasive and continuous blood pressure monitoring in patients undergoing hemodialysis based on the spatial features of facial visible images.
Kosuke Oiwa +5 more
wiley +1 more source

