{"id":876,"date":"2017-12-06T13:29:50","date_gmt":"2017-12-06T18:29:50","guid":{"rendered":"https:\/\/support.mindwaretech.com\/?post_type=ht_kb&p=876"},"modified":"2017-12-06T13:29:50","modified_gmt":"2017-12-06T18:29:50","slug":"kb0073","status":"publish","type":"ht_kb","link":"https:\/\/support.mindwaretech.com\/knowledge-base\/kb0073\/","title":{"rendered":"KB0073: Scaling EDA to Microsiemens (\u03bcS)"},"content":{"rendered":"

Electrodermal Activity (EDA) is typically viewed in microsiemens (\u03bcS). Depending on how the EDA was collected, the method of converting it from volts to \u03bcS will be different. This article details the various ways to scale data from volts to microsiemens in BioLab and the EDA Analysis application.<\/p>\n

If you are acquiring data with a MindWare Mobile<\/a>, this data is scaled to the appropriate units automatically.\u00a0However if you are using different hardware such as a\u00a0BioNex<\/a>\u00a0Impedance Cardiograph & GSC\u00a0module<\/a>\u00a0or a 3rd party system, you have to scale this data manually.<\/p>\n

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 <\/p>\n

BioNex Scaling Values<\/h2>\n

EDA data is scaled from volts to microsiemens by multiplying it by the chosen gain. On the Impedance Cardiograph & GSC<\/strong> and 3 Channel Bio & GSC\u00a0<\/strong>modules, this gain is programmable and typically set to the values listed here<\/a>. If you are using the\u00a0Impedance Cardiograph & GSC 2<\/strong> module, the gain is fixed at 10, so you will always multiply the signal by 10.<\/p>\n

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 <\/p>\n

Scaling data in BioLab<\/h2>\n

Scaling cardiac impedance data in BioLab allows you to view the data in actual units during acquisition, which can be useful in determining data quality. On the BioLab Configuration screen, press the\u00a0Preview Scaling<\/strong>\u00a0button next to the GSC channel to open the scaling window.<\/p>\n

\"\"<\/a><\/p>\n

On this screen, change the\u00a0Scaling Type<\/strong>\u00a0to \u201cSlope Intercept\u201d. Then set\u00a0m (slope)<\/strong> equal to the selected Gain. In this case,\u00a0m = 10<\/strong>. Also, change\u00a0Units\u00a0<\/strong>to “micro siemens”<\/p>\n

\"\"<\/a><\/p>\n

If you are using a MW Mobile, you will see that the channel is already in the proper units even though there is no scaling applied.<\/p>\n

\"\"<\/a><\/p>\n

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 <\/p>\n

Scaling data in EDA Analysis<\/h2>\n

Scaling data to microsiemens in the EDA analysis application is crucial to calculating statistics based on the average skin conductance level. The field used to scale the data is found on the\u00a0EDA Calibration Settings<\/strong> tab, labeled \u03bcS\/Volt<\/strong>.<\/p>\n

BioNex Module<\/span><\/h3>\n

Much like scaling the data in BioLab, \u03bc<\/strong>S\/Volt<\/strong> should be set to the channel gain at which the skin conductance data was collected. By default, the EDA application will populate this value automatically. This is evident when\u00a0Overwrite Gain Settings<\/strong> is off, and \u03bc<\/strong>S\/volt\u00a0<\/strong>is grayed out<\/p>\n

\"\"<\/a><\/p>\n

In the event that the detected gain setting is incorrect, you can overwrite this value using the\u00a0Overwrite Gain Settings<\/strong> button.<\/p>\n

If you are working with a very old MindWare (.mw) file where gain was not stored in the file, you will have to enter this value manually<\/p>\n

\"\"<\/a><\/p>\n

MindWare Mobile Impedance Cardiograph<\/span><\/h3>\n

If you are analyzing data from a MW Mobile, these fields will be disabled as the scaling is automatically applied for you.<\/p>\n

\"\"<\/a><\/p>\n

Other hardware<\/span><\/h3>\n

If you used 3rd party hardware to collect your skin conductance data, use whatever values are appropriate in this field to scale it.<\/p>\n","protected":false},"excerpt":{"rendered":"

Electrodermal Activity (EDA) is typically viewed in microsiemens (\u03bcS). Depending on how the EDA was collected, the method of converting it from volts to \u03bcS will be different. This article details the various ways to scale data from volts to microsiemens in BioLab and the EDA Analysis application. If you […]<\/p>\n","protected":false},"author":2,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"ht-kb-category":[99,7],"ht-kb-tag":[385,392,389,390,386,126,388,391,387],"class_list":["post-876","ht_kb","type-ht_kb","status-publish","format-standard","hentry","ht_kb_category-eda","ht_kb_category-software","ht_kb_tag-eda","ht_kb_tag-eda-overwrite-gain-settings","ht_kb_tag-gsc-scaling","ht_kb_tag-gsr-scaling","ht_kb_tag-microsiemens","ht_kb_tag-scaling","ht_kb_tag-scaling-data-in-biolab","ht_kb_tag-scr-scaling","ht_kb_tag-volts-to-microsiemens"],"_links":{"self":[{"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/ht-kb\/876","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/ht-kb"}],"about":[{"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/types\/ht_kb"}],"author":[{"embeddable":true,"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/comments?post=876"}],"version-history":[{"count":5,"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/ht-kb\/876\/revisions"}],"predecessor-version":[{"id":3302,"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/ht-kb\/876\/revisions\/3302"}],"wp:attachment":[{"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/media?parent=876"}],"wp:term":[{"taxonomy":"ht_kb_category","embeddable":true,"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/ht-kb-category?post=876"},{"taxonomy":"ht_kb_tag","embeddable":true,"href":"https:\/\/support.mindwaretech.com\/wp-json\/wp\/v2\/ht-kb-tag?post=876"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}