Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Yuriy Kurylyak"'
Publikováno v:
Digital Image and Signal Processing for Measurement Systems ISBN: 9781003337911
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f4c76c09b763656ca6c247bd8f5240c
https://doi.org/10.1201/9781003337911-5
https://doi.org/10.1201/9781003337911-5
Publikováno v:
Biomedical Signal Processing and Control. 11:89-96
Oscillometric blood pressure (BP) monitors are omnipresent and used on a daily basis for personalized healthcare. Nevertheless, physicians generally approach these devices cautiously since the mercury Korotkoff sphygmomanometer remains the golden sta
Autor:
Roberto Caputo, Ugo Cataldi, Yuriy Kurylyak, Mahshid Chekini, Cesare Umeton, Gérard Klein, Thomas Bürgi
Publikováno v:
Journal of Materials Chemistry C, Vol. 2, No 37 (2014) P. 7927
A simple method is presented to control and trigger the coupling between plasmonic particles using both a growing process of gold nanoparticles (GNPs) and a mechanical strain applied to the elastomeric template where these GNPs are anchored. The larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dae52bfe139e317f5e9c517f7c467a0b
https://archive-ouverte.unige.ch/unige:94112
https://archive-ouverte.unige.ch/unige:94112
Autor:
Angelo Furfaro, Wendy Van Moer, Domenico Grimaldi, Vitaliano Spagnuolo, Francesco Lamonaca, Kurt Barbé, Yuriy Kurylyak
Publikováno v:
IDAACS
The smartphone is proposed to evaluate the Blood Pressure (BP) anywhere and anytime. The tasks performed by smartphone are (i) extraction of the PhotoPlethysmoGram (PPG) signal from a frame sequence acquired by the integrated camera, and (ii) process
Publikováno v:
MeMeA
Non-invasive measurement of the human blood pressure remains, although the commercial availability of such monitors, an active research topic. This is due to the disadvantage that the blood pressure is computed instead of directly measured. To comput
Publikováno v:
I2MTC
There is a relation, not always linear, between the blood pressure and the pulse duration, obtained from photoplethysmography (PPG) signal. In order to estimate the blood pressure from the PPG signal, in this paper the Artificial Neural Networks (ANN
Publikováno v:
MeMeA
The paper deals with the accurate evaluation of the Blood pressure (BP) by an Artificial Neural Network (ANN) and the Photoplethysmogram (PPG) signal. The proposed method allows evaluating the blood pressure for each heart beat, without using a cuff
Publikováno v:
MeMeA
This paper presents a non-intrusive vision based system for eye blinks detection and fatigue level monitoring. It uses a web camera positioned in front of the face. A cascade of boosted classifiers based on Haar-like features is used for fast detecti
Publikováno v:
MeMeA
The paper deals with the robust and reliable evaluation of the Pulse Rate (PR) with a smartphone. The smartphone camera is used to evaluate the volumetric variation of blood by monitoring the change of light absorption in the tissue. Once assessed th