Non-invasive Detection of Bowel Sounds in Real-life Settings Using Spectrogram Zeros and Autoencoding

2021 ◽  
Author(s):  
I. Bilionis ◽  
G. Apostolidis ◽  
V. Charisis ◽  
C. Liatsos ◽  
L. Hadjileontiadis
Keyword(s):  
Real Life ◽  
Bowel Sounds ◽  
Non Invasive

scholarly journals Defining successful non‐invasive ventilation initiation: Data from a real‐life cohort

Respirology ◽  
2021 ◽  
Author(s):  
Grégoire Jolly ◽  
Léa Razakamanantsoa ◽  
Emeline Fresnel ◽  
Zouhaier Gharsallaoui ◽  
Antoine Cuvelier ◽  
...  
Keyword(s):  
Real Life ◽  
Invasive Ventilation ◽  
Non Invasive ◽  
Non Invasive Ventilation

Postural freezing foretells startle-potentiation in a human fear-conditioning paradigm

2021 ◽  
Author(s):  
Vanessa van Ast ◽  
Floris Klumpers ◽  
Raoul P P P Grasman ◽  
Angelos-Miltiadis Krypotos ◽  
Karin Roelofs
Keyword(s):  
Fear Conditioning ◽  
Real Life ◽  
Conditioning Paradigm ◽  
Non Invasive ◽  
Startle Magnitude ◽  
Highly Sensitive ◽  
Human Conditioning ◽  
Conditioned Freezing ◽  
Fear And Anxiety ◽  
Active Preparation

Freezing to impending threat is a core defensive response. It has been studied primarily using fear-conditioning in non-human animals, thwarting advances in translational human anxiety-research. Here we examine postural freezing as a human conditioning-index for translational anxiety-research. We show (n=28) that human freezing is highly sensitive to fear-conditioning, generalizes to ambiguous contexts, and amplifies with threat-imminence. Intriguingly, stronger parasympathetically-driven freezing under threat, but not sympathetically-mediated skin conductance, predicts subsequent startle magnitude. These results demonstrate that humans show fear-conditioned animal-like freezing responses, known to aid in active preparation for unexpected attack, and that freezing captures real-life anxiety-expression. Conditioned freezing offers a promising new, non-invasive, and continuous, readout for human fear-conditioning, paving the way for future translational studies into human fear and anxiety.

scholarly journals Use and performance of non-invasive ventilation in Internal Medicine ward: a real-life study

2015 ◽  
Author(s):  
Francesco Ventrella ◽  
Armando Giancola ◽  
Sergio Cappello ◽  
Maria Pipino ◽  
Graziano Minafra ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Real Life ◽  
Invasive Ventilation ◽  
Internal Medicine Ward ◽  
Life Study ◽  
Non Invasive ◽  
Non Invasive Ventilation ◽  
Real Life Study ◽  
And Performance

scholarly journals A Systematic Literature Review of Non-Invasive Indoor Thermal Discomfort Detection

2020 ◽  
Vol 10 (12) ◽  
pp. 4085 ◽  
Author(s):  
Alla Marchenko ◽  
Alenka Temeljotov-Salaj
Keyword(s):  
Data Collection ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Algorithm ◽  
Technological Development ◽  
Real Life ◽  
Work Place ◽  
Data Set ◽  
Thermal Discomfort ◽  
Non Invasive

Since 1997, scientists have been trying to utilize new non-invasive approaches for thermal discomfort detection, which promise to be more effective for comparing frameworks that need direct responses from users. Due to rapid technological development in the bio-metrical field, a systematic literature review to investigate the possibility of thermal discomfort detection at the work place by non-invasive means using bio-sensing technology was performed. Firstly, the problem intervention comparison outcome context (PICOC) framework was introduced in the study to identify the main points for meta-analysis and, in turn, to provide relevant keywords for the literature search. In total, 2776 studies were found and processed using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology. After filtering by defined criterion, 35 articles were obtained for detailed investigation with respect to facility types used in the experiment, amount of people for data collection and algorithms used for prediction of the thermal discomfort event. The given study concludes that there is potential for the creation of non-invasive thermal discomfort detection models via utilization of bio-sensing technologies, which will provide a better user interaction with the built environment, potentially decrease energy use and enable better productivity. There is definitely room for improvement within the field of non-invasive thermal discomfort detection, especially with respect to data collection, algorithm implementation and sample size, in order to have opportunities for the deployment of developed solutions in real life. Based on the literature review, the potential of novel technology is seen to utilize a more intelligent approach for performing non-invasive thermal discomfort prediction. The architecture of deep neural networks should be studied more due to the specifics of its hidden layers and its ability of hierarchical data extraction. This machine learning algorithm can provide a better model for thermal discomfort detection based on a data set with different types of bio-metrical variables.

Non-invasive measures to predict the presence of oesophageal varices in real life practice

2017 ◽  
Vol 66 (1) ◽  
pp. S386
Author(s):  
M. Sousa ◽  
S. Fernandes ◽  
L. Proença ◽  
J. Silva ◽  
A. Ponte ◽  
...  
Keyword(s):  
Real Life ◽  
Oesophageal Varices ◽  
Non Invasive

scholarly journals Quantification of Liver Fibrosis, Steatosis, and Viscosity Using Multiparametric Ultrasound in Patients with Non-Alcoholic Liver Disease: A “Real-Life” Cohort Study

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 783
Author(s):  
Alexandru Popa ◽  
Felix Bende ◽  
Roxana Șirli ◽  
Alina Popescu ◽  
Victor Bâldea ◽  
...  
Keyword(s):  
Liver Disease ◽  
Liver Fibrosis ◽  
Plane Wave ◽  
Transient Elastography ◽  
Liver Stiffness ◽  
Real Life ◽  
Final Analysis ◽  
Multivariate Regression Analysis ◽  
Alcoholic Fatty Liver ◽  
Non Invasive

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. This study aimed to evaluate the performance of four ultrasound-based techniques for the non-invasive multiparametric (MPUS) assessment of liver fibrosis (LF), steatosis (HS), and inflammation in patients with NAFLD. We included 215 consecutive adult patients with NAFLD (mean age: 54.9 ± 11.7; 54.5% were male), in whom LF, HS, and viscosity were evaluated in the same session using four new ultrasound-based techniques embedded on the Aixplorer MACH 30 system: ShearWave Elastography (2D-SWE.PLUS), Sound Speed Plane-wave UltraSound (SSp.PLUS), Attenuation Plane-wave UltraSound (Att.PLUS), and Viscosity Plane-wave UltraSound (Vi.PLUS). Transient Elastography (TE) with Controlled Attenuation Parameter (CAP) (FibroScan) were considered as control. All elastographic measurements were performed according to guidelines. Valid liver stiffness measurements (LSM) were obtained in 98.6% of patients by TE, in 95.8% of patients by 2D-SWE.PLUS/Vi.PLUS, and in 98.1% of patients by Att.PLUS/SSp.PLUS, respectively. Therefore, 204 subjects were included in the final analysis. A strong correlation between LSMs by 2D-SWE.PLUS and TE (r = 0.89) was found. The best 2D-SWE.PLUS cut-off value for the presence of significant fibrosis (F ≥ 2) was 7 kPa. Regarding steatosis, SSp.PLUS correlated better than Att.PLUS with CAP values: (r = −0.74) vs. (r = 0.45). The best SSp.PLUS cut-off value for predicting the presence of significant steatosis was 1524 m/s. The multivariate regression analysis showed that Vi.PLUS values were associated with BMI and LSM by 2D-SWE.PLUS. In conclusion, MPUS was useful for assessing fibrosis, steatosis, and inflammation in a single examination in patients with NAFLD.

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