Application for pre-processing and visualization of electrodermal activity wearable data

Kari Suoja; Jari Liukkonen; Jari Jussila; Henna Salonius; Niina Venho; Virpi Sillanpää; Vilma Vuori; Nina Helander

doi:10.1007/978-981-10-5122-7_24

Application for pre-processing and visualization of electrodermal activity wearable data

Kari Suoja, Jari Liukkonen, Jari Jussila, Henna Salonius, Niina Venho, Virpi Sillanpää, Vilma Vuori, Nina Helander

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

248 Downloads (Pure)

Abstract

Using sensors to gather physiological data about users can provide valuable insights that are not available merely using traditional measures. Electrodermal activity (EDA) can act as an indicator for both physiological and psychological arousal. Measuring arousal has several application areas. For instance, prolonged and often recurring high arousal levels can indicate that a person is suffering from chronic stress. At the other extreme, for example, in elderly care constant low arousal levels can signal that the senior citizens are not getting enough activity and attention from the care personnel. In the context of events, measurement of arousal can indicate when the persons get excited and when they are more calm. This study presents a pilot study of EDA measurements conducted during a trade fair. Providing timely and meaningful information for a group of people being measured, however, requires pre-processing the data and creating visualizations that enable both individual and collective level sense-making of the results. The aim of this study was to develop a process and an open source application that can automatically pre-process large amounts of data from wearable sources, and create visualizations, to be used in events for immediate sense-making.

Original language	English
Title of host publication	EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017
Publisher	Springer Verlag
Pages	93-96
ISBN (Electronic)	978-981-10-5122-7
ISBN (Print)	978-981-10-5121-0
DOIs	https://doi.org/10.1007/978-981-10-5122-7_24
Publication status	Published - 2018
Publication type	A4 Article in conference proceedings
Event	Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) - Duration: 1 Jan 1900 → …

Publication series

Name	IFMBE Proceedings
Volume	65
ISSN (Electronic)	1680-0737

Conference

Conference	Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC)
Period	1/01/00 → …

Keywords

electrodermal
activity
EDA
wearable
Data analysis

Publication forum classification

Publication forum level 1

Access to Document

10.1007/978-981-10-5122-7_24

Application for pre-processing
The final publication is available at Springer via http://dx.doi.org/10.1007/978-981-10-5122-7_24
Accepted author manuscript, 122 KB

http://urn.fi/URN:NBN:fi:tty-201710122001

Cite this

Suoja, K., Liukkonen, J., Jussila, J., Salonius, H., Venho, N., Sillanpää, V., Vuori, V., & Helander, N. (2018). Application for pre-processing and visualization of electrodermal activity wearable data. In EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017 (pp. 93-96). (IFMBE Proceedings; Vol. 65). Springer Verlag. https://doi.org/10.1007/978-981-10-5122-7_24

Suoja, Kari ; Liukkonen, Jari ; Jussila, Jari et al. / Application for pre-processing and visualization of electrodermal activity wearable data. EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017. Springer Verlag, 2018. pp. 93-96 (IFMBE Proceedings).

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title = "Application for pre-processing and visualization of electrodermal activity wearable data",

abstract = "Using sensors to gather physiological data about users can provide valuable insights that are not available merely using traditional measures. Electrodermal activity (EDA) can act as an indicator for both physiological and psychological arousal. Measuring arousal has several application areas. For instance, prolonged and often recurring high arousal levels can indicate that a person is suffering from chronic stress. At the other extreme, for example, in elderly care constant low arousal levels can signal that the senior citizens are not getting enough activity and attention from the care personnel. In the context of events, measurement of arousal can indicate when the persons get excited and when they are more calm. This study presents a pilot study of EDA measurements conducted during a trade fair. Providing timely and meaningful information for a group of people being measured, however, requires pre-processing the data and creating visualizations that enable both individual and collective level sense-making of the results. The aim of this study was to develop a process and an open source application that can automatically pre-process large amounts of data from wearable sources, and create visualizations, to be used in events for immediate sense-making.",

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Suoja, K, Liukkonen, J, Jussila, J, Salonius, H, Venho, N, Sillanpää, V, Vuori, V & Helander, N 2018, Application for pre-processing and visualization of electrodermal activity wearable data. in EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017. IFMBE Proceedings, vol. 65, Springer Verlag, pp. 93-96, Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), 1/01/00. https://doi.org/10.1007/978-981-10-5122-7_24

Application for pre-processing and visualization of electrodermal activity wearable data. / Suoja, Kari; Liukkonen, Jari; Jussila, Jari et al.
EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017. Springer Verlag, 2018. p. 93-96 (IFMBE Proceedings; Vol. 65).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Application for pre-processing and visualization of electrodermal activity wearable data

AU - Suoja, Kari

AU - Liukkonen, Jari

AU - Jussila, Jari

AU - Salonius, Henna

AU - Venho, Niina

AU - Sillanpää, Virpi

AU - Vuori, Vilma

AU - Helander, Nina

N1 - EXT="Suoja, Kari" EXT="Liukkonen, Jari" EXT="Salonius, Henna" jufoid=58152

PY - 2018

Y1 - 2018

N2 - Using sensors to gather physiological data about users can provide valuable insights that are not available merely using traditional measures. Electrodermal activity (EDA) can act as an indicator for both physiological and psychological arousal. Measuring arousal has several application areas. For instance, prolonged and often recurring high arousal levels can indicate that a person is suffering from chronic stress. At the other extreme, for example, in elderly care constant low arousal levels can signal that the senior citizens are not getting enough activity and attention from the care personnel. In the context of events, measurement of arousal can indicate when the persons get excited and when they are more calm. This study presents a pilot study of EDA measurements conducted during a trade fair. Providing timely and meaningful information for a group of people being measured, however, requires pre-processing the data and creating visualizations that enable both individual and collective level sense-making of the results. The aim of this study was to develop a process and an open source application that can automatically pre-process large amounts of data from wearable sources, and create visualizations, to be used in events for immediate sense-making.

AB - Using sensors to gather physiological data about users can provide valuable insights that are not available merely using traditional measures. Electrodermal activity (EDA) can act as an indicator for both physiological and psychological arousal. Measuring arousal has several application areas. For instance, prolonged and often recurring high arousal levels can indicate that a person is suffering from chronic stress. At the other extreme, for example, in elderly care constant low arousal levels can signal that the senior citizens are not getting enough activity and attention from the care personnel. In the context of events, measurement of arousal can indicate when the persons get excited and when they are more calm. This study presents a pilot study of EDA measurements conducted during a trade fair. Providing timely and meaningful information for a group of people being measured, however, requires pre-processing the data and creating visualizations that enable both individual and collective level sense-making of the results. The aim of this study was to develop a process and an open source application that can automatically pre-process large amounts of data from wearable sources, and create visualizations, to be used in events for immediate sense-making.

KW - electrodermal

KW - activity

KW - EDA

KW - wearable

KW - Data analysis

U2 - 10.1007/978-981-10-5122-7_24

DO - 10.1007/978-981-10-5122-7_24

M3 - Conference contribution

SN - 978-981-10-5121-0

T3 - IFMBE Proceedings

SP - 93

EP - 96

BT - EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017

PB - Springer Verlag

T2 - Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC)

Y2 - 1 January 1900

ER -

Suoja K, Liukkonen J, Jussila J, Salonius H, Venho N, Sillanpää V et al. Application for pre-processing and visualization of electrodermal activity wearable data. In EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017. Springer Verlag. 2018. p. 93-96. (IFMBE Proceedings). Epub 2017. doi: 10.1007/978-981-10-5122-7_24

Application for pre-processing and visualization of electrodermal activity wearable data

Abstract

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Keywords

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