A Systematic Method for Preprocessing and Analyzing Electrodermal Activity
Electrodermal activity (EDA) is a measure of sympathetic tone using sweat gland activity that has applications in research and clinical medicine. We previously identified never-before-seen statistical structure in EDA. However, there is no systematic method to preprocess and analyze EDA data to capt...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2019
|
| Online Access: | https://hdl.handle.net/1721.1/123299 |
| _version_ | 1826195099151761408 |
|---|---|
| author | Subramanian, Sandya Barbieri, Riccardo Brown, Emery Neal |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Subramanian, Sandya Barbieri, Riccardo Brown, Emery Neal |
| author_sort | Subramanian, Sandya |
| collection | MIT |
| description | Electrodermal activity (EDA) is a measure of sympathetic tone using sweat gland activity that has applications in research and clinical medicine. We previously identified never-before-seen statistical structure in EDA. However, there is no systematic method to preprocess and analyze EDA data to capture such statistical structure. Therefore, in this study, we analyzed the data of two healthy volunteers while awake and at rest. We used a systematic process that takes advantage of the tail behavior of various statistical distributions to ensure capturing the point process structure in EDA. We verified the presence of this temporal structure in a new dataset of subjects. Our results demonstrate for the first time that point process structure of EDA pulses can be identified across multiple datasets using a systematic method that is still rooted in the underlying physiology. |
| first_indexed | 2024-09-23T10:07:30Z |
| format | Article |
| id | mit-1721.1/123299 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T10:07:30Z |
| publishDate | 2019 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1232992022-09-26T15:52:09Z A Systematic Method for Preprocessing and Analyzing Electrodermal Activity Subramanian, Sandya Barbieri, Riccardo Brown, Emery Neal Harvard University--MIT Division of Health Sciences and Technology Electrodermal activity (EDA) is a measure of sympathetic tone using sweat gland activity that has applications in research and clinical medicine. We previously identified never-before-seen statistical structure in EDA. However, there is no systematic method to preprocess and analyze EDA data to capture such statistical structure. Therefore, in this study, we analyzed the data of two healthy volunteers while awake and at rest. We used a systematic process that takes advantage of the tail behavior of various statistical distributions to ensure capturing the point process structure in EDA. We verified the presence of this temporal structure in a new dataset of subjects. Our results demonstrate for the first time that point process structure of EDA pulses can be identified across multiple datasets using a systematic method that is still rooted in the underlying physiology. 2019-12-17T20:24:14Z 2019-12-17T20:24:14Z 2019-10 2019-07 Article http://purl.org/eprint/type/ConferencePaper 9781538613115 1558-4615 1557-170X https://hdl.handle.net/1721.1/123299 Subramanian, Sandya et al. "A Systematic Method for Preprocessing and Analyzing Electrodermal Activity." 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2019, Berlin, Germany, Institute of Electrical and Electronics Engineers (IEEE), October 2019. © 2019 IEEE http://dx.doi.org/10.1109/embc.2019.8857757 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Prof. Brown via Courtney Crummett |
| spellingShingle | Subramanian, Sandya Barbieri, Riccardo Brown, Emery Neal A Systematic Method for Preprocessing and Analyzing Electrodermal Activity |
| title | A Systematic Method for Preprocessing and Analyzing Electrodermal Activity |
| title_full | A Systematic Method for Preprocessing and Analyzing Electrodermal Activity |
| title_fullStr | A Systematic Method for Preprocessing and Analyzing Electrodermal Activity |
| title_full_unstemmed | A Systematic Method for Preprocessing and Analyzing Electrodermal Activity |
| title_short | A Systematic Method for Preprocessing and Analyzing Electrodermal Activity |
| title_sort | systematic method for preprocessing and analyzing electrodermal activity |
| url | https://hdl.handle.net/1721.1/123299 |
| work_keys_str_mv | AT subramaniansandya asystematicmethodforpreprocessingandanalyzingelectrodermalactivity AT barbieririccardo asystematicmethodforpreprocessingandanalyzingelectrodermalactivity AT brownemeryneal asystematicmethodforpreprocessingandanalyzingelectrodermalactivity AT subramaniansandya systematicmethodforpreprocessingandanalyzingelectrodermalactivity AT barbieririccardo systematicmethodforpreprocessingandanalyzingelectrodermalactivity AT brownemeryneal systematicmethodforpreprocessingandanalyzingelectrodermalactivity |