Automatic arrhythmia detection based on time and time–frequency analysis of heart rate variability
We have developed an automatic arrhythmia detection system, which is based on heart rate
features only. Initially, the RR interval duration signal is extracted from ECG recordings and …
features only. Initially, the RR interval duration signal is extracted from ECG recordings and …
Digital detection, grou** and classification of partial discharge signals at DC voltage
S Wenrong, L Junhao, Y Peng… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
In this paper, a digital dc PD pulse detection system with bandwidth of 10 kHz-40 MHz is
introduced, which was developed using some artificial intelligence methodologies. Focus is …
introduced, which was developed using some artificial intelligence methodologies. Focus is …
Automatic contraction detection using uterine electromyography
Electrohysterography (EHG) is a promising technique for pregnancy monitoring and preterm
risk evaluation. It allows for uterine contraction monitoring as early as the 20th gestational …
risk evaluation. It allows for uterine contraction monitoring as early as the 20th gestational …
Uterine contractions clustering based on electrohysterography
The uterine electromyogram, also named Electrohysterogram (EHG), is a non-invasive
technique that has been used for pregnancy and labour monitoring as well as for research …
technique that has been used for pregnancy and labour monitoring as well as for research …
GNSS code multipath short‐time fourier transform analysis
U Robustelli, G Pugliano - … : Journal of the Institute of Navigation, 2018 - Wiley Online Library
Abstract Global Navigation Satellite System pseudorange multipath errors cannot be
analyzed with the Fourier transform as they are non‐stationary; thus, other tools must be …
analyzed with the Fourier transform as they are non‐stationary; thus, other tools must be …
The choice of time–frequency representations of non-stationary signals affects machine learning model accuracy: A case study on earthquake detection from LEN-DB …
Non-stationary signals are often analyzed using raw waveform data or spectrograms of
those data; however, the possibility of alternative time–frequency representations being …
those data; however, the possibility of alternative time–frequency representations being …
Time course of neuro-mechanical changes underlying stretch–shortening cycle during intermittent exhaustive rebound exercise
C Morio, P Chavet, P Androuet, M Foissac… - European Journal of …, 2011 - Springer
This study analysed the time course of neuro-mechanical changes underlying stretch–
shortening cycle during intermittent exhaustive rebound exercise. On a sledge apparatus …
shortening cycle during intermittent exhaustive rebound exercise. On a sledge apparatus …
Aeroacoustic characteristics of subsonic flow from axisymmetric pipe-cavities
A detailed experimental study on the acoustic characteristics of an axisymmetric pipe-cavity
jet is conducted for different ratios of cavity depth to length, over a range of subsonic Mach …
jet is conducted for different ratios of cavity depth to length, over a range of subsonic Mach …
[書籍][B] Feature extraction of intra-pulse modulated signals using time-frequency analysis
I Moraitakis, MP Fargues - 2000 - ieeexplore.ieee.org
Time-frequency/wavelet decompositions and pattern recognition schemes are used to
extract the parameters of linear and hyperbolic chirps. The study first compares the …
extract the parameters of linear and hyperbolic chirps. The study first compares the …
[HTML][HTML] Time–frequency characteristics of abnormal waveshapes in PD pulse sequence using ultra-wideband detection
W Si, C Fu, H Ni, P Yuan - Energy Reports, 2023 - Elsevier
In the present study, a HVDC PD test platform with bandwidth of 10 kHz–50 MHz and 250
MS/s sampling rate is built for the ultra-wideband (UWB) detection and investigation of time …
MS/s sampling rate is built for the ultra-wideband (UWB) detection and investigation of time …