A closed-loop hybrid physiological model relating to subjects under physical stress

Elsamahy, E.; Mahfouf, Mahdi; Linkens, D.A.

doi:10.1016/j.artmed.2006.07.009

Cited by 9 publications

(3 citation statements)

References 21 publications

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“…Another argument is that the normal distribution has already been employed in other works involving the analysis of physiological data [10,20,26].…”

Section: Synthetic Data Generation For Vital Signs Monitoringmentioning

confidence: 99%

A decision-making mechanism for context inference in pervasive healthcare environments

Copetti

Leite

Loques

et al. 2013

Decision Support Systems

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“…Another argument is that the normal distribution has already been employed in other works involving the analysis of physiological data [10,20,26].…”

Section: Synthetic Data Generation For Vital Signs Monitoringmentioning

confidence: 99%

A decision-making mechanism for context inference in pervasive healthcare environments

Copetti

Leite

Loques

et al. 2013

Decision Support Systems

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“…The field of signal analysis and modelling has also evolved during recent decades. Although the more classic approaches of mechanistic modelling and data-based (or empirical) modelling are still very relevant and offer yet unexploited added value for health engineering (e.g., [13][14][15]), it can be expected that recent trends in artificial intelligence (e.g., big data approaches and deep learning algorithms [16,17]) will change the health engineering landscape (and life in general) in a radical way.…”

Section: Main Content Of the Special Issuementioning

confidence: 99%

Special Issue on “Human Health Engineering”

Aerts¹

2020

Applied Sciences

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“…Extensions are expected in other fields like to spectral entropy application, mainly in important medical care data processing [35], [13] and to bivariate S-distributions utilising copulas [36] or to multivariate S-distributions [28], [32], [8] and vectors of data for example, where the new method could prove largely profitable.…”

Section: Open Areas and Conclusionmentioning

confidence: 99%

Natural histogram for very small population statistics

Rugescu

Silivestru

Aldea

2008

2008 6th IEEE International Conference on Industrial Informatics

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A new method is proposed that sharply increases the amount of statistical information extracted from experimental data. The new statistical technology is particularly suited for scarce sample populations, when it increases with one order of magnitude the extracted information. Hidden features would remain inaccessible otherwise. The method could prove useful also for signal processing, when a high level of accuracy in details rendition is required. The efficiency of the method is demonstrated by the experimental measurement of the combustion heat of rocket propellants. Populations as small as of six elements are thus successfully processed and statistically characterised, while the regular statistics could only be applied to much larger populations.

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A closed-loop hybrid physiological model relating to subjects under physical stress

Cited by 9 publications

References 21 publications

A decision-making mechanism for context inference in pervasive healthcare environments

A decision-making mechanism for context inference in pervasive healthcare environments

Special Issue on “Human Health Engineering”

Natural histogram for very small population statistics

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