The brain stethoscope: A device that turns brain activity into sound

Razavi, Babak; Ehsani, Pooya; Kamrava, Maryam; Pekelis, Leonid B; Nangia, Vaibhav; Chafe, Chris; Parvizi, Josef

doi:10.1016/j.yebeh.2015.02.051

Cited by 2 publications

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“…Sonification is an auditory display technique in which data is mapped to sound for the purposes of representing the original data source and/or making meaning from the data. It is often used with complex datasets which are difficult to interpret through visual means alone, for example, epileptic seizure detection in EEG data (Razavi et al 2015). Sonification is becoming an increasingly popular tool for helping to represent network activity (Worrall, 2015;Wolf and Fiebrink, 2013;Fairfax et al, 2014) and according to Rimland et al (2013), this trend is set to continue with the global proliferation of Internet of Things (IoT) technologies.…”

Section: Introductionmentioning

confidence: 99%

Using Conceptual Metaphors to Represent Temporal Context in Time Series Data Sonification

Roddy

2019

Interacting With Computers

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This article explores how conceptual metaphor theory can be applied to the problem of representing temporal context in the sonification of time series data. It opens with an introduction to some of the conceptual metaphors involved in our understanding of time and music. Two of these metaphors are extended to the domain of Auditory Display and act as a guide to the creation of a design framework for representing temporal context in the sonification of time series data. An empirical listener evaluation of this framework is then presented and the results analysed to gauge the efficacy of this approach. The results suggest that the framework supports the listener, to a limited degree, in estimating which time-point they are currently hearing, how many time-points they have already heard and how many time-points they have left to hear. Improvements to the framework are suggested, and plans for future iterations are discussed.

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Section: Introductionmentioning

confidence: 99%

Using Conceptual Metaphors to Represent Temporal Context in Time Series Data Sonification

Roddy

2019

Interacting With Computers

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Big Data and Us: Human–Data Interactions

Smith¹

2019

European Review

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The growth of continuously generated, large-scale datasets, and new analytics to handle them, has created expectations, in some quarters, that new insights can be generated that will help us address the biggest challenges that face us as a species and therefore can shape future societal outcomes. It is hoped that these new technologies will lead not just to new discoveries but also to new questions and thinking that will deliver significant scientific advances. Perhaps there will be some genuine scientific advances but since many of the challenges that face us reside in the human world and depend upon how humans behave, we need to turn to the humanities and the social sciences as well as the natural sciences and look at the role Big Data could play there in adding to, or shaping, our future. And here, what concerns us is not just the assumptions guiding the new analytic techniques for data mining, data merging, linking and analysis, born out of smarter AI algorithms, it is a more fundamental issue about the constraints and limitations of the kind of data inputs and outputs being appealed to in Big Data systems and whether they are well served to provide an understanding of the human world.

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The brain stethoscope: A device that turns brain activity into sound

Cited by 2 publications

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Using Conceptual Metaphors to Represent Temporal Context in Time Series Data Sonification

Using Conceptual Metaphors to Represent Temporal Context in Time Series Data Sonification

Big Data and Us: Human–Data Interactions

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