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      User Experience of 7 Mobile Electroencephalography Devices: Comparative Study

      research-article
      , Dr rer nat 1 , , , Dr-Ing 2
      (Reviewer), (Reviewer), (Reviewer), (Reviewer), (Reviewer), (Reviewer), (Reviewer), (Reviewer)
      JMIR mHealth and uHealth
      JMIR Publications
      wearable devices, user experience, electroencephalography, mobile applications, electrodes, dry electrodes

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          Abstract

          Background

          Registration of brain activity has become increasingly popular and offers a way to identify the mental state of the user, prevent inappropriate workload, and control other devices by means of brain-computer interfaces. However, electroencephalography (EEG) is often related to user acceptance issues regarding the measuring technique. Meanwhile, emerging mobile EEG technology offers the possibility of gel-free signal acquisition and wireless signal transmission. Nonetheless, user experience research about the new devices is lacking.

          Objective

          This study aimed to evaluate user experience aspects of emerging mobile EEG devices and, in particular, to investigate wearing comfort and issues related to emotional design.

          Methods

          We considered 7 mobile EEG devices and compared them for their wearing comfort, type of electrodes, visual appearance, and subjects’ preference for daily use. A total of 24 subjects participated in our study and tested every device independently of the others. The devices were selected in a randomized order and worn on consecutive day sessions of 60-min duration. At the end of each session, subjects rated the devices by means of questionnaires.

          Results

          Results indicated a highly significant change in maximal possible wearing duration among the EEG devices (χ 2 6=40.2, n=24; P<.001). Regarding the visual perception of devices’ headset design, results indicated a significant change in the subjects’ ratings (χ 2 6=78.7, n=24; P<.001). Results of the subjects’ ratings regarding the practicability of the devices indicated highly significant differences among the EEG devices (χ 2 6=83.2, n=24; P<.001). Ranking order and posthoc tests offered more insight and indicated that pin electrodes had the lowest wearing comfort, in particular, when coupled with a rigid, heavy headset. Finally, multiple linear regression for each device separately revealed that users were not willing to accept less comfort for a more attractive headset design.

          Conclusions

          The study offers a differentiated look at emerging mobile and gel-free EEG technology and the relation between user experience aspects and device preference. Our research could be seen as a precondition for the development of usable applications with wearables and contributes to consumer health informatics and health-enabling technologies. Furthermore, our results provided guidance for the technological development direction of new EEG devices related to the aspects of emotional design.

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          Most cited references24

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          How about taking a low-cost, small, and wireless EEG for a walk?

          To build a low-cost, small, and wireless electroencephalogram (EEG) system suitable for field recordings, we merged consumer EEG hardware with an EEG electrode cap. Auditory oddball data were obtained while participants walked outdoors on university campus. Single-trial P300 classification with linear discriminant analysis revealed high classification accuracies for both indoor (77%) and outdoor (69%) recording conditions. We conclude that good quality, single-trial EEG data suitable for mobile brain-computer interfaces can be obtained with affordable hardware. Copyright © 2012 Society for Psychophysiological Research.
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            Brain computer interface: control signals review

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              Bristle-sensors--low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications.

              In this paper, we present a new, low-cost dry electrode for EEG that is made of flexible metal-coated polymer bristles. We examine various standard EEG paradigms, such as capturing occipital alpha rhythms, testing for event-related potentials in an auditory oddball paradigm and performing a sensory motor rhythm-based event-related (de-) synchronization paradigm to validate the performance of the novel electrodes in terms of signal quality. Our findings suggest that the dry electrodes that we developed result in high-quality EEG recordings and are thus suitable for a wide range of EEG studies and BCI applications. Furthermore, due to the flexibility of the novel electrodes, greater comfort is achieved in some subjects, this being essential for long-term use.
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                September 2019
                03 September 2019
                : 7
                : 9
                : e14474
                Affiliations
                [1 ] Mental Health and Cognitive Capacity Federal Institute for Occupational Safety and Health Berlin Germany
                [2 ] Department of Computer Science Humboldt-Universität zu Berlin Berlin Germany
                Author notes
                Corresponding Author: Thea Radüntz raduentz.thea@ 123456baua.bund.de
                Author information
                http://orcid.org/0000-0003-1882-2005
                http://orcid.org/0000-0002-8515-4871
                Article
                v7i9e14474
                10.2196/14474
                6751099
                31482852
                b0f6d48e-5440-41bc-a8a6-1b0e4295c05b
                ©Thea Radüntz, Beate Meffert. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 03.09.2019.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 24 April 2019
                : 19 June 2019
                : 28 June 2019
                : 6 July 2019
                Categories
                Original Paper
                Original Paper

                wearable devices,user experience,electroencephalography,mobile applications,electrodes,dry electrodes

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