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[HTML][HTML] Advanced bioelectrical signal processing methods: Past, present, and future approach—Part III: Other biosignals
Analysis of biomedical signals is a very challenging task involving implementation of various
advanced signal processing methods. This area is rapidly develo**. This paper is a Part III …
advanced signal processing methods. This area is rapidly develo**. This paper is a Part III …
Electrohysterography in the diagnosis of preterm birth: a review
J Garcia-Casado, Y Ye-Lin… - Physiological …, 2018 - iopscience.iop.org
Preterm birth (PTB) is one of the most common and serious complications in pregnancy.
About 15 million preterm neonates are born every year, with ratios of 10–15% of total births …
About 15 million preterm neonates are born every year, with ratios of 10–15% of total births …
Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques
The epilepsies are a heterogeneous group of neurological disorders and syndromes
characterised by recurrent, involuntary, paroxysmal seizure activity, which is often …
characterised by recurrent, involuntary, paroxysmal seizure activity, which is often …
[HTML][HTML] A machine learning system for automated whole-brain seizure detection
Epilepsy is a chronic neurological condition that affects approximately 70 million people
worldwide. Characterised by sudden bursts of excess electricity in the brain, manifesting as …
worldwide. Characterised by sudden bursts of excess electricity in the brain, manifesting as …
Prediction of preterm deliveries from EHG signals using machine learning
There has been some improvement in the treatment of preterm infants, which has helped to
increase their chance of survival. However, the rate of premature births is still globally …
increase their chance of survival. However, the rate of premature births is still globally …
Noninvasive uterine electromyography for prediction of preterm delivery
M Lucovnik, WL Maner, LR Chambliss… - American journal of …, 2011 - Elsevier
OBJECTIVE:: Power spectrum (PS) of uterine electromyography (EMG) can identify true
labor. EMG propagation velocity (PV) to diagnose labor has not been reported. The …
labor. EMG propagation velocity (PV) to diagnose labor has not been reported. The …
Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals
An accurate detection of preterm labor and the risk of preterm delivery before 37 weeks of
gestational age is crucial to increase the chance of survival rate for both mother and the …
gestational age is crucial to increase the chance of survival rate for both mother and the …
Characterization and automatic classification of preterm and term uterine records
F Jager, S Libenšek, K Geršak - PLoS One, 2018 - journals.plos.org
Predicting preterm birth is uncertain, and numerous scientists are searching for non-invasive
methods to improve its predictability. Current researches are based on the analysis of …
methods to improve its predictability. Current researches are based on the analysis of …
Use of uterine electromyography to diagnose term and preterm labor
M Lucovnik, RJ Kuon, LR Chambliss… - Acta obstetricia et …, 2011 - Wiley Online Library
Current methodologies to assess the process of labor, such as tocodynamometry or
intrauterine pressure catheters, fetal fibronectin, cervical length measurement and digital …
intrauterine pressure catheters, fetal fibronectin, cervical length measurement and digital …
Better pregnancy monitoring using nonlinear correlation analysis of external uterine electromyography
M Hassan, J Terrien, C Muszynski… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
The objective of this paper is to evaluate the novel method for analyzing the nonlinear
correlation of the uterine electromyography (EMG). The application of this method may …
correlation of the uterine electromyography (EMG). The application of this method may …