McDAPS: A multi-channel physiological signals display and analysis system for clinical researchers
We introduce McDAPS, an interactive software for assessing autonomic imbalance from non-invasive multi-channel physiological recordings. McDAPS provides a graphical user interface for data visualization, beat-to-beat processing and interactive analyses. The software extracts beat-to-beat RR interval...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-07-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023001784 |
| _version_ | 1827812118322216960 |
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| author | Wanwara Thuptimdang Patjanaporn Chalacheva Thomas D. Coates Michael C.K. Khoo |
| author_facet | Wanwara Thuptimdang Patjanaporn Chalacheva Thomas D. Coates Michael C.K. Khoo |
| author_sort | Wanwara Thuptimdang |
| collection | DOAJ |
| description | We introduce McDAPS, an interactive software for assessing autonomic imbalance from non-invasive multi-channel physiological recordings. McDAPS provides a graphical user interface for data visualization, beat-to-beat processing and interactive analyses. The software extracts beat-to-beat RR interval systolic blood pressure, diastolic blood pressure, the pulse amplitude of photoplethysmogram and the pulse-to-pulse interval. The analysis modules include stationary and time-varying power spectral analyses, moving-correlation analysis and univariate analyses. Analyses can also be performed in batch mode if multiple datasets have to be processed in the same way. The program exports results in standard CSV format.McDAPS runs in MATLAB, and is supported on MS Windows and MAC OS systems. The MATLAB source code is available at https://github.com/thuptimd/McDAPS.git. |
| first_indexed | 2024-03-11T23:14:35Z |
| format | Article |
| id | doaj.art-8c3a83729b8a445089f634ef31274558 |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-03-11T23:14:35Z |
| publishDate | 2023-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-8c3a83729b8a445089f634ef312745582023-09-21T04:37:38ZengElsevierSoftwareX2352-71102023-07-0123101482McDAPS: A multi-channel physiological signals display and analysis system for clinical researchersWanwara Thuptimdang0Patjanaporn Chalacheva1Thomas D. Coates2Michael C.K. Khoo3Institute of Biomedical Engineering, Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand; Corresponding author.Biomedical Engineering Department, Carnegie Mellon University, Pittsburgh, PA, United States of AmericaHematology Section, Cancer and Blood Disease Institute, Children’s Hospital Los Angeles, University of Southern California Keck School of Medicine, Los Angeles, CA, United States of AmericaDepartment of Biomedical Engineering, University of Southern California, Los Angeles, United States of AmericaWe introduce McDAPS, an interactive software for assessing autonomic imbalance from non-invasive multi-channel physiological recordings. McDAPS provides a graphical user interface for data visualization, beat-to-beat processing and interactive analyses. The software extracts beat-to-beat RR interval systolic blood pressure, diastolic blood pressure, the pulse amplitude of photoplethysmogram and the pulse-to-pulse interval. The analysis modules include stationary and time-varying power spectral analyses, moving-correlation analysis and univariate analyses. Analyses can also be performed in batch mode if multiple datasets have to be processed in the same way. The program exports results in standard CSV format.McDAPS runs in MATLAB, and is supported on MS Windows and MAC OS systems. The MATLAB source code is available at https://github.com/thuptimd/McDAPS.git.http://www.sciencedirect.com/science/article/pii/S2352711023001784ANSBeat-to-beatPower spectral analysisCross correlation |
| spellingShingle | Wanwara Thuptimdang Patjanaporn Chalacheva Thomas D. Coates Michael C.K. Khoo McDAPS: A multi-channel physiological signals display and analysis system for clinical researchers SoftwareX ANS Beat-to-beat Power spectral analysis Cross correlation |
| title | McDAPS: A multi-channel physiological signals display and analysis system for clinical researchers |
| title_full | McDAPS: A multi-channel physiological signals display and analysis system for clinical researchers |
| title_fullStr | McDAPS: A multi-channel physiological signals display and analysis system for clinical researchers |
| title_full_unstemmed | McDAPS: A multi-channel physiological signals display and analysis system for clinical researchers |
| title_short | McDAPS: A multi-channel physiological signals display and analysis system for clinical researchers |
| title_sort | mcdaps a multi channel physiological signals display and analysis system for clinical researchers |
| topic | ANS Beat-to-beat Power spectral analysis Cross correlation |
| url | http://www.sciencedirect.com/science/article/pii/S2352711023001784 |
| work_keys_str_mv | AT wanwarathuptimdang mcdapsamultichannelphysiologicalsignalsdisplayandanalysissystemforclinicalresearchers AT patjanapornchalacheva mcdapsamultichannelphysiologicalsignalsdisplayandanalysissystemforclinicalresearchers AT thomasdcoates mcdapsamultichannelphysiologicalsignalsdisplayandanalysissystemforclinicalresearchers AT michaelckkhoo mcdapsamultichannelphysiologicalsignalsdisplayandanalysissystemforclinicalresearchers |