Automated electrocardiogram interpretation for the detection of postoperative junctional ectopic tachycardia at the pediatric intensive care unit

Background: Postoperative junctional ectopic tachycardia (JET) is an arrhythmia associated with increased morbidity and mortality rates in children with congenital heart disease. Developing an automated detection algorithm could aid in early identification and timely treatment of JET.<br/><br/>Methods: A retrospective study was conducted using...

Fourier Analysis of the microvascular function of women with and without migraine

Erasmus MC is conducting a study on the increased risk of cardiovascular disease in women who have migraine. For this purpose, 50 healthy women and 50 women with migraine in age category of 40-60 years were compared using measurements of their dermal blood flow.<br/>These measurements are done using two different imaging devices: Laser Speckle...

Using beamforming to maximise the detection capability of Kwintsheul’s seismic array

To run Nature’s Heat geothermal operations (Kwintsheul, The Netherlands) in a safe and efficient manner, and with the support of the local population, it is important to mitigate potential hazards. A well known potential hazard related to geothermal operations is the occurrence of induced seismicity due to injection and extraction of fluids in...

Using machine learning to assess the predictive capabilities of fetal cardiotocography with reference to the time of the measurement relative to time of birth

Abstract—Background: cardiotocography (CTG) has long been used in clinical decision making to help assess the fetus’ condition during pregnancy. However it’s usefulness in the detection of fetal acidosis is debated due to high inter and intraobserver variability and general difficulty in interpreting the signals. The introduction of automatic...

Analyzing Aircraft Surveillance Signal Quality at the 1090 Megahertz Radio Frequency

Due to the increasing demands for real-time air traffic monitoring, the 1090 megahertz radio frequency has become the most utilized communication channel for aircraft surveillance purposes. Several services are using the radio frequency at the same time, which are Mode A/C communications and Mode S communications. These different types of...

HeartPy: A novel heart rate algorithm for the analysis of noisy signals

Heart rate data are often collected in human factors studies, including those into vehicle automation. Advances in open hardware platforms and off-the-shelf photoplethysmogram (PPG) sensors allow the non-intrusive collection of heart rate data at very low cost. However, the signal is not trivial to analyse, since the morphology of PPG waveforms...

Analysis and Detection of Neural Synchrony in the Prefrontal Cortex

Signal Analysis techniques are routinely used in Neuroscience to interpret raw signals harvested from the Nervous System. From a simple Fourier analysis to more complicated methods such as multiresolution wavelet analysis, such techniques must be used for signal manipulation in order to reach informed conclusions on the measurements taking place...

Automated feedback on viewing skills lowers accident involvement

The risk of being involved in an accident in the first year after licensing is greater for novice drivers who passed their driving exam the first time than for novice drivers who failed their first driving exam. Enhanced training programmes can shorten the duration of training and can raise the passing rate on the first exam, but can also...

Temporal noise analysis of charge-domain sampling readout circuits for cmos image sensors

This paper presents a temporal noise analysis of charge-domain sampling readout circuits for Complementary Metal-Oxide Semiconductor (CMOS) image sensors. In order to address the trade-off between the low input-referred noise and high dynamic range, a Gm-cell-based pixel together with a charge-domain correlated-double sampling (CDS) technique...

Heart Rate Analysis for Human Factors: Development and Validation of an Open Source Toolkit for Noisy Naturalistic Heart Rate Data

Heart rate data are collected often in human factors studies. Advances in open hardware platforms and offtheshelf photoplethysmogram (PPG) sensors allow the nonintrusive collection of heart rate data at very low cost. However, the signal is not trivial to analyse, since the morphology of PPG waveforms differs from electrocardiogram (ECG)...

Small-signal modelling and stability analysis of a traditional generation unit and a virtual synchronous machine in grid-connected operation

The virtual synchronous machine (VSM) concept has emerged as an approach to provide flexible distributed control of power electronic converters interfacing distributed energy resources with the grid. It supports power system operation by providing ancillary services, and facilitates a seamless transition between grid-connected and islanded...

Definition and evaluation of production test validation methods applied to Vx multiphase flow meters

Accurate flow rate measurements are very important in production testing. Originally small and insignificant deviations could propagate in subsequent applications where flow rate data is used as input parameter. Vx multiphase flow meters give much more information compared to conventional test separators. This extra data can be used for extra...

Characterization of Compass M-1 signals

An analysis of observations from China’s first medium earth orbit satellite Compass M-1 is presented, with main focus on the first orbit and clock solution for this satellite. The orbit is computed from laser ranging measurements. Based on this orbit solution, the apparent clock offset is estimated using measurements from two GNSS receivers,...