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      The Impossibility of Control: Real-time Negotiations with the Heart

      ,

      Electronic Visualisation and the Arts (EVA 2015) (EVA)

      Electronic Visualisation and the Arts

      7 & 9 July 2015

      Music, Contemporary dance, Polytemporality, Biosensors, Electrocardiogram, Heart rate, Interoception, Biofeedback, Entrainment, Music notation, Time domain representation

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We present a practice-based research project, which examines temporal relationships between physiological processes with human movement and mediated environments. Ongoing research will provide a foundation for the creation of performances in which real-time heart rate data from contemporary dancers is used to generate click tracks for live musicians. The complex constructions of time in this project necessitate novel visualization strategies throughout the research, development, creation, and production process, including: time domain display of data with rich and facile interaction using bokeh; visualization of biometric data as a form of biofeedback; and unique representations of time in music notation.

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          Most cited references 4

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          A brief review: history to understand fundamentals of electrocardiography

          The last decade of the 19th century witnessed the rise of a new era in which physicians used technology along with classical history taking and physical examination for the diagnosis of heart disease. The introduction of chest x-rays and the electrocardiograph (electrocardiogram) provided objective information about the structure and function of the heart. In the first half of the 20th century, a number of innovative individuals set in motion a fascinating sequence of discoveries and inventions that led to the 12-lead electrocardiogram, as we know it now. Electrocardiography, nowadays, is an essential part of the initial evaluation for patients presenting with cardiac complaints. As a first line diagnostic tool, health care providers at different levels of training and expertise frequently find it imperative to interpret electrocardiograms. It is likely that an understanding of the electrical basis of electrocardiograms would reduce the likelihood of error. An understanding of the disorders behind electrocardiographic phenomena could reduce the need for memorizing what may seem to be an endless list of patterns. In this article, we will review the important steps in the evolution of electrocardiogram. As is the case in most human endeavors, an understanding of history enables one to deal effectively with the present.
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            From Biological Signals to Music

             B. Arslan (2005)
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              Biosignal-Driven Art: Beyond Biofeedback

               M. ORTIZ,  M Ortiz (2011)
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                Author and article information

                Contributors
                Conference
                July 2015
                July 2015
                : 184-191
                Affiliations
                CNMAT

                Department of Music

                University of California, Berkeley, USA
                Naccarato Dance

                Montreal, QC

                Canada
                Article
                10.14236/ewic/eva2015.19
                © John MacCallum et al. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2015, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Electronic Visualisation and the Arts (EVA 2015)
                EVA
                London, UK
                7 & 9 July 2015
                Electronic Workshops in Computing (eWiC)
                Electronic Visualisation and the Arts
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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