Quantitative analysis of wrist electrodermal activity during sleep
We present the first quantitative characterization of electrodermal activity (EDA) patterns on the wrists of healthy adults during sleep using dry electrodes. We compare the new results on the wrist to the prior findings on palmar or finger EDA by characterizing data measured from 80 nights of sleep...
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| Format: | Article |
| Language: | en_US |
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Elsevier
2016
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| Online Access: | http://hdl.handle.net/1721.1/104061 https://orcid.org/0000-0003-4484-8946 https://orcid.org/0000-0002-5661-0022 |
| _version_ | 1826197878624747520 |
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| author | Sano, Akane Picard, Rosalind W. Stickgold, Robert |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Sano, Akane Picard, Rosalind W. Stickgold, Robert |
| author_sort | Sano, Akane |
| collection | MIT |
| description | We present the first quantitative characterization of electrodermal activity (EDA) patterns on the wrists of healthy adults during sleep using dry electrodes. We compare the new results on the wrist to the prior findings on palmar or finger EDA by characterizing data measured from 80 nights of sleep consisting of 9 nights of wrist and palm EDA from 9 healthy adults sleeping at home, 56 nights of wrist and palm EDA from one healthy adult sleeping at home, and 15 nights of wrist EDA from 15 healthy adults in a sleep laboratory, with the latter compared to concurrent polysomnography. While high frequency patterns of EDA called “storms” were identified by eye in the 1960s, we systematically compare thresholds for automatically detecting EDA peaks and establish criteria for EDA storms. We found that more than 80% of the EDA peaks occurred in non-REM sleep, specifically during slow-wave sleep (SWS) and non-REM stage 2 sleep (NREM2). Also, EDA amplitude is higher in SWS than in other sleep stages. Longer EDA storms were more likely to occur in the first two quarters of sleep and during SWS and NREM2. We also found from the home studies (65 nights) that EDA levels were higher and the skin conductance peaks were larger and more frequent when measured on the wrist than when measured on the palm. These EDA high frequency peaks and high amplitude were sometimes associated with higher skin temperature, but more work is needed looking at neurological and other EDA elicitors in order to elucidate their complete behavior. |
| first_indexed | 2024-09-23T10:54:53Z |
| format | Article |
| id | mit-1721.1/104061 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:54:53Z |
| publishDate | 2016 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1040612022-09-27T15:55:24Z Quantitative analysis of wrist electrodermal activity during sleep Sano, Akane Picard, Rosalind W. Stickgold, Robert Massachusetts Institute of Technology. Media Laboratory Sano, Akane Picard, Rosalind W. We present the first quantitative characterization of electrodermal activity (EDA) patterns on the wrists of healthy adults during sleep using dry electrodes. We compare the new results on the wrist to the prior findings on palmar or finger EDA by characterizing data measured from 80 nights of sleep consisting of 9 nights of wrist and palm EDA from 9 healthy adults sleeping at home, 56 nights of wrist and palm EDA from one healthy adult sleeping at home, and 15 nights of wrist EDA from 15 healthy adults in a sleep laboratory, with the latter compared to concurrent polysomnography. While high frequency patterns of EDA called “storms” were identified by eye in the 1960s, we systematically compare thresholds for automatically detecting EDA peaks and establish criteria for EDA storms. We found that more than 80% of the EDA peaks occurred in non-REM sleep, specifically during slow-wave sleep (SWS) and non-REM stage 2 sleep (NREM2). Also, EDA amplitude is higher in SWS than in other sleep stages. Longer EDA storms were more likely to occur in the first two quarters of sleep and during SWS and NREM2. We also found from the home studies (65 nights) that EDA levels were higher and the skin conductance peaks were larger and more frequent when measured on the wrist than when measured on the palm. These EDA high frequency peaks and high amplitude were sometimes associated with higher skin temperature, but more work is needed looking at neurological and other EDA elicitors in order to elucidate their complete behavior. MIT Media Lab Consortium Samsung (Firm) National Institutes of Health (U.S.) (NIH grant 1R01GM105018-01) 2016-08-29T17:02:42Z 2016-08-29T17:02:42Z 2014-10 2014-09 Article http://purl.org/eprint/type/JournalArticle 01678760 http://hdl.handle.net/1721.1/104061 Sano, Akane, Rosalind W. Picard, and Robert Stickgold. “Quantitative Analysis of Wrist Electrodermal Activity During Sleep.” International Journal of Psychophysiology 94, no. 3 (December 2014): 382–389. https://orcid.org/0000-0003-4484-8946 https://orcid.org/0000-0002-5661-0022 en_US http://dx.doi.org/10.1016/j.ijpsycho.2014.09.011 International Journal of Psychophysiology Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier PMC |
| spellingShingle | Sano, Akane Picard, Rosalind W. Stickgold, Robert Quantitative analysis of wrist electrodermal activity during sleep |
| title | Quantitative analysis of wrist electrodermal activity during sleep |
| title_full | Quantitative analysis of wrist electrodermal activity during sleep |
| title_fullStr | Quantitative analysis of wrist electrodermal activity during sleep |
| title_full_unstemmed | Quantitative analysis of wrist electrodermal activity during sleep |
| title_short | Quantitative analysis of wrist electrodermal activity during sleep |
| title_sort | quantitative analysis of wrist electrodermal activity during sleep |
| url | http://hdl.handle.net/1721.1/104061 https://orcid.org/0000-0003-4484-8946 https://orcid.org/0000-0002-5661-0022 |
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