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Large size FFTs over time-varying channels
(IET, 2014-06-01)
[EN] In orthogonal frequency division multiplexing (OFDM) signals, the usage of large size fast Fourier transforms (FFTs) reduces the guard interval percentage, and therefore increases the data throughput reducing the data ...
Experimental Study of the Response of Efficient Lighting Technologies to Complex Voltage Fluctuations
(Elsevier, 2014-07-09)
The replacement of incandescent lamps with more energy-efficient lighting technologies has a direct influence on the way flicker is measured. The International Electrotechnical Commission (IEC) established in the 61000-4-15 ...
Flicker Characteristics of Efficient Lighting Assessed by the IEC Flickermeter
(Elsevier, 2013-10-13)
We present an experimental study of the behavior of modern lighting technologies
under supply voltage fluctuations. Some studies have reported that flicker severity
measurements could exceed the compatibility levels ...
An Alternative Strategy to Improve the Flicker Severity Measurement
(Elservier, 2014-07-12)
The IEC 61000-4-15 standard defines a flickermeter that is universally accepted as the meter used for the objective measurement of a disturbing light flicker. The accurate results provided by the IEC flickermeter under ...
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest
(MDPI, 2019-03-21)
The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary for the early recognition of the arrest and the detection of return of spontaneous circulation (end of the arrest). The only signal ...
A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest
(IEEE, 2020-09-02)
The availability of an automatic pulse detection during out-of-hospital cardiac arrest (OHCA)
would allow the rapid identi cation of cardiac arrest and the prompt detection of return of spontaneous
circulation. The aim ...
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions
(IEEE, 2019-01)
Goal: An accurate rhythm analysis during cardiopulmonary resuscitation (CPR) would contribute to increase the survival from out-of-hospital cardiac arrest. Piston-driven mechanical compression devices are frequently used ...
A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions
(IEEE, 2019-06)
Goal: Accurate shock decision methods during piston-driven cardiopulmonary resuscitation (CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The best current methods are computationally ...
Capnography: A support tool for the detection of return of spontaneous circulation in out-of-hospital cardiac arrest
(Elsevier, 2019-09)
Background
Automated detection of return of spontaneous circulation (ROSC) is still an unsolved problem
during cardiac arrest. Current guidelines recommend the use of capnography, but most
automatic methods are based ...
Feasibility of the capnogram to monitor ventilation rate during cardiopulmonary resuscitation
(Elsevier, 2017-01)
Aim:The rates of chest compressions (CCs) and ventilations are both important metrics to monitor
the quality of cardiopulmonary resuscitation (CPR). Capnography permits monitoring
ventilation, but the CCs provided during ...