EZ Entropy: a software application for the entropy analysis of physiological time-series
Abstract Background Entropy analysis has been attracting increasing attentions in the recent two or three decades. It assesses complexity, or irregularity, of time-series which is extraordinarily relevant to physiology and diseases as demonstrated by tremendous studies. However, the complexity can h...
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| Format: | Article |
| Language: | English |
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BMC
2019-03-01
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| Series: | BioMedical Engineering OnLine |
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| Online Access: | http://link.springer.com/article/10.1186/s12938-019-0650-5 |
| _version_ | 1818288559416672256 |
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| author | Peng Li |
| author_facet | Peng Li |
| author_sort | Peng Li |
| collection | DOAJ |
| description | Abstract Background Entropy analysis has been attracting increasing attentions in the recent two or three decades. It assesses complexity, or irregularity, of time-series which is extraordinarily relevant to physiology and diseases as demonstrated by tremendous studies. However, the complexity can hardly be appreciated by traditional methods including time-, frequency-domain analysis, and time-frequency analysis that are the common built-in options in commercialized measurement and statistical software. To facilitate the entropy analysis of physiological time-series, a new software application, namely EZ Entropy, was developed and introduced in this article. Results EZ Entropy was developed in MATLAB® environment. It was programmed in an object-oriented style and was constructed with a graphical user interface. EZ Entropy is easy to operate through its compact graphical interface, thus allowing researchers without knowledge of programming like clinicians and physiologists to perform such kind of analysis. Besides, it offers various settings to meet different analysis needs including (1) processing single data recording, (2) batch processing multiple data files, (3) sliding window calculations, (4) recall, (5) displaying intermediate data and final results, (6) adjusting input parameters, and (7) exporting calculation results after the run or in real-time during the analysis. The analysis results could be exported, either manually or automatically, to comma-separated ASCII files, thus being compatible to and easily imported into the common statistical analysis software. Code-wise, EZ Entropy is object-oriented, thus being quite easy to maintain and extend. Conclusions EZ Entropy is a user-friendly software application to perform the entropy analysis of time-series, as well as to simplify and to speed up this useful analysis. |
| first_indexed | 2024-12-13T01:58:18Z |
| format | Article |
| id | doaj.art-f2d3de1fe54147f4b4ed28fdae3b0cb6 |
| institution | Directory Open Access Journal |
| issn | 1475-925X |
| language | English |
| last_indexed | 2024-12-13T01:58:18Z |
| publishDate | 2019-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BioMedical Engineering OnLine |
| spelling | doaj.art-f2d3de1fe54147f4b4ed28fdae3b0cb62022-12-22T00:03:21ZengBMCBioMedical Engineering OnLine1475-925X2019-03-0118111510.1186/s12938-019-0650-5EZ Entropy: a software application for the entropy analysis of physiological time-seriesPeng Li0School of Control Science and Engineering, Shandong UniversityAbstract Background Entropy analysis has been attracting increasing attentions in the recent two or three decades. It assesses complexity, or irregularity, of time-series which is extraordinarily relevant to physiology and diseases as demonstrated by tremendous studies. However, the complexity can hardly be appreciated by traditional methods including time-, frequency-domain analysis, and time-frequency analysis that are the common built-in options in commercialized measurement and statistical software. To facilitate the entropy analysis of physiological time-series, a new software application, namely EZ Entropy, was developed and introduced in this article. Results EZ Entropy was developed in MATLAB® environment. It was programmed in an object-oriented style and was constructed with a graphical user interface. EZ Entropy is easy to operate through its compact graphical interface, thus allowing researchers without knowledge of programming like clinicians and physiologists to perform such kind of analysis. Besides, it offers various settings to meet different analysis needs including (1) processing single data recording, (2) batch processing multiple data files, (3) sliding window calculations, (4) recall, (5) displaying intermediate data and final results, (6) adjusting input parameters, and (7) exporting calculation results after the run or in real-time during the analysis. The analysis results could be exported, either manually or automatically, to comma-separated ASCII files, thus being compatible to and easily imported into the common statistical analysis software. Code-wise, EZ Entropy is object-oriented, thus being quite easy to maintain and extend. Conclusions EZ Entropy is a user-friendly software application to perform the entropy analysis of time-series, as well as to simplify and to speed up this useful analysis.http://link.springer.com/article/10.1186/s12938-019-0650-5EntropySoftwareProgramMATLAB |
| spellingShingle | Peng Li EZ Entropy: a software application for the entropy analysis of physiological time-series BioMedical Engineering OnLine Entropy Software Program MATLAB |
| title | EZ Entropy: a software application for the entropy analysis of physiological time-series |
| title_full | EZ Entropy: a software application for the entropy analysis of physiological time-series |
| title_fullStr | EZ Entropy: a software application for the entropy analysis of physiological time-series |
| title_full_unstemmed | EZ Entropy: a software application for the entropy analysis of physiological time-series |
| title_short | EZ Entropy: a software application for the entropy analysis of physiological time-series |
| title_sort | ez entropy a software application for the entropy analysis of physiological time series |
| topic | Entropy Software Program MATLAB |
| url | http://link.springer.com/article/10.1186/s12938-019-0650-5 |
| work_keys_str_mv | AT pengli ezentropyasoftwareapplicationfortheentropyanalysisofphysiologicaltimeseries |