Results 111 to 120 of about 2,568 (189)
Sinyal Photoplethysmograph (PPG) dapat digunakan untuk mengukur saturasi oksigen dalam darah, tekanan darah dan detak jantung. Metode konvensional yang sering kali digunakan untuk mendeteksi detak jantung, diantaranya: oksimetri, tensimeter, wearable ...
Heri Pratikno +3 more
doaj +1 more source
Growth oriented adjustment programs : a statistical analysis [PDF]
After the fall in average per capita GDP growth that took place in the 1980s, adjustment lending programs supported by the International Monetary Fund (IMF) and the World Bank (WB) were launched in response to the deteriorating external environment.
de Melo, Jaime +3 more
core
Semi-rPPG: Semi-Supervised Remote Physiological Measurement With Curriculum Pseudo-Labeling
Remote Photoplethysmography (rPPG) is a promising technique to monitor physiological signals such as heart rate from facial videos. However, the labeled facial videos in this research are challenging to collect. Current rPPG research is mainly based on several small public datasets collected in simple environments, which limits the generalization and ...
Bingjie Wu +6 more
openaire +2 more sources
Algorithm for space-time analysis of data on geomagnetic field [PDF]
The algorithm for the execution of the space-time analysis of data on geomagnetic fields is described. The primary constraints figuring in the specific realization of the algorithm on a computer stem exclusively from the limited possibilities of the ...
Golokov, V. P. +2 more
core +1 more source
Heart Rate Estimation Algorithm Integrating Long and Short-Term Temporal Features
Non-contact heart rate monitoring from facial videos utilizing remote photoplethysmography (rPPG) has gained significant traction in remote health monitoring.
Jie Sun +4 more
doaj +1 more source
rPPG-MAE: Self-Supervised Pretraining With Masked Autoencoders for Remote Physiological Measurements
Remote photoplethysmography (rPPG) is an important technique for perceiving human vital signs, which has received extensive attention. For a long time, researchers have focused on supervised methods that rely on large amounts of labeled data. These methods are limited by the requirement for large amounts of data and the difficulty of acquiring ground ...
Xin Liu +5 more
openaire +3 more sources
Enhancing rPPG pulse-signal recovery by facial sampling and PSD Clustering
In order to increase the accuracy of traditional methods for camera-based pulse rate estimation, we propose a novel systemic approach that extracts multiple remote photoplethysmography (rPPG) signals from a set of scattered facial patches and effectively separates good estimates from noisy ones via a novel unsupervised Power Spectral Density (PSD ...
Boccignone, Giuseppe +5 more
openaire +3 more sources
Periodic-MAE: Periodic Video Masked Autoencoder for rPPG Estimation
In this paper, we propose a method that learns a general representation of periodic signals from unlabeled facial videos by capturing subtle changes in skin tone over time. The proposed framework employs the video masked autoencoder to learn a high-dimensional spatio-temporal representation of the facial region through self-supervised learning ...
Choi, Jiho, Lee, Sang Jun
openaire +2 more sources
RS+rPPG: Robust Strongly Self-Supervised Learning for rPPG
Marko Savic, Guoying Zhao
openaire +1 more source
Adaptive physiology-informed correction for reliable remote photoplethysmography heart-rate monitoring. [PDF]
Tian Y, Li S, Zhu Y, Elgendi M, Lam EY.
europepmc +1 more source

