Results 31 to 40 of about 121,818 (283)

Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models [PDF]

open access: yes, 2017
Biomechanical computational models have potential prognostic utility in patients after an acute ST-segment–elevation myocardial infarction (STEMI). In a proof-of-concept study, we defined two groups (1) an acute STEMI group (n = 6, 83% male, age 54 ± 12 ...
Berry, Colin   +5 more
core   +2 more sources

Real-Time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation

open access: yesApplied Sciences, 2020
Remote photo-plethysmography (rPPG) uses a camera to estimate a person’s heart rate (HR). Similar to how heart rate can provide useful information about a person’s vital signs, insights about the underlying physio/psychological conditions can be obtained
Amogh Gudi   +2 more
doaj   +1 more source

Biometric Signals Estimation Using Single Photon Camera and Deep Learning

open access: yesSensors, 2020
The problem of performing remote biomedical measurements using just a video stream of a subject face is called remote photoplethysmography (rPPG). The aim of this work is to propose a novel method able to perform rPPG using single-photon avalanche diode (
Marco Paracchini   +4 more
doaj   +1 more source

Changes in the vulnerability of clinical manifestations of thyrotoxic cardiomyopathy as indicators of remote results of surgical treatment in patients with toxic goiter [PDF]

open access: yesArchives of the Balkan Medical Union, 2018
The aim of the work – improvement of the evaluation method of remote results of surgical treatment in patients with toxic goiter, taking into account the changes in the severity of clinical manifestations of thyrotoxic cardiomyopathy Materials and ...
Oleksandr V. SHIDLOVSKY   +9 more
doaj   +1 more source

Telemonitoring after discharge from hospital with heart failure: cost-effectiveness modelling of alternative service designs. [PDF]

open access: yes, 2013
Objectives To estimate the cost-effectiveness of remote monitoring strategies versus usual care for adults recently discharged after a heart failure (HF) exacerbation.
Al-Mohammad, A   +11 more
core   +1 more source

A New Approach for Noncontact Imaging Photoplethysmography Using Chrominance Features and Low-Rank in the IoT Operating Room

open access: yesIEEE Access, 2019
Advancements in image-processing and medical imaging technologies and other research areas have resulted in the growing importance of surgical navigation systems in the field of minimally invasive surgery.
Hongwei Yue   +5 more
doaj   +1 more source

A new principle of pulse detection based on terahertz wave plethysmography

open access: yesScientific Reports, 2022
This study presents findings in the terahertz (THz) frequency spectrum for non-contact cardiac sensing applications. Cardiac pulse information is simultaneously extracted using THz waves based on the established principles in electronics and optics.
Yu Rong   +3 more
doaj   +1 more source

Remote Vital Signs Measurement of Indoor Walking Persons Using mm-Wave FMCW Radar

open access: yesIEEE Access, 2022
Research on radar-based non-contact vital sign monitoring systems is critical during the COVID-19 epidemic. The accuracy of remote vital sign measurements has increased with the advancement of radar technology and various algorithms. Most studies require
Yaokun Hu, Takeshi Toda
doaj   +1 more source

Dedicated Exposure Control for Remote Photoplethysmography

open access: yesIEEE Access, 2020
This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for ...
Jordan Laurie   +3 more
doaj   +1 more source

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

open access: yes, 2020
The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the heart's rhythmic irregularities, commonly known as arrhythmias.
Anwar, Syed M.   +3 more
core   +1 more source

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