Anatomical Aspects,Bounding Box,Cold Pressor Test,Color Channels,Data Cube,Deep Neural Network,Gaussian Mixture Model,Heart Rate Detection,Heart Rate Estimation,Heart Rate Variability,Hyperspectral ...

Introduction: A pilot study assessing a novel approach to identify patients with Systemic Sclerosis (SSc) using deep learning analysis of multi-site photoplethysmography ... NFC is a non-invasive, ...

Measurements of Subjective Feeling Using the KOKORO Scale The KOKORO scale was developed by the RIKEN Center for Molecular Imaging Science (Kobe ... When ECG was missing, photoplethysmography was used ...

Imaging technology developed and refined at the University of Waterloo promises better detection and treatment of breast cancer by more accurately pinpointing cancerous tissue. Researchers at the ...

Fluorescence imaging is the visualization of fluorescent dyes or proteins as labels for molecular processes or structures. It enables a wide range of experimental observations including the ...

Abstract: Photoplethysmography (PPG) is commonly used to gather health-related information but is highly affected by motion artifacts from daily activities. Inspired by the strong denoising ...

Most consumer-grade devices for detecting arrhythmias use photoplethysmography (PPG). This technology measures volumetric changes in blood flow on the basis of the intensity of reflected light ...

We sought to assess the diagnostic accuracy of smartphone camera photoplethysmography (PPG) compared with conventional electrocardiogram (ECG) for AF detection. Methods This is a systematic review of ...

EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.