Download e-book for kindle: Advances in Physiological Computing by Stephen H. Fairclough, Kiel Gilleade

By Stephen H. Fairclough, Kiel Gilleade

ISBN-10: 1447163915

ISBN-13: 9781447163916

ISBN-10: 1447163923

ISBN-13: 9781447163923

This edited assortment will offer an outline of the sphere of physiological computing, i.e. using physiological indications as enter for machine keep watch over. it's going to disguise a breadth of present study, from brain-computer interfaces to telemedicine.

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2012). The third option is by far the most general, as guaranteeing high-quality raw data guarantees usability of an ambulatory system in a variety of applications. It can, however, be problematic for physiological computing developers, as it can be very difficult to ensure that the ambulatory and reference system are measuring the same data. For instance, as electrodes from two sensors cannot be placed in the exactly same spots at the same time, it is impossible to measure the exactly same signals even using identical sensors (Chi et al.

Springer, New York Wiener N (1964) God and golem inc. MIT Press, Cambridge Wilson GF, Russell CA (2007) Performance enhancement in an uninhabited air vehicle task using psychophysiologically determined adaptive aiding. Hum Factors 49:1005–1018 Chapter 2 Engineering Issues in Physiological Computing Domen Novak Abstract Prototypes of physiological computing systems have appeared in countless fields, but few have made the leap from research to widespread use. This is due to several practical problems that can be roughly divided into four major categories: hardware, signal processing, psychophysiological inference, and feedback loop design.

Signal processing algorithms can then remove noise from the EEG by using the EOG as a reference (Croft and Barry 2000). Similarly, motion artefacts can be detected using sensors such as accelerometers. A second popular approach uses processing methods such as principal or independent component analysis to remove artefacts without the need for an additional sensor. It has been successfully used to remove motion artefacts from ambulatory EEG (Gwin, Gramann, Makeig, and Ferris 2010) and ambulatory ECG (Wartzek et al.

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Advances in Physiological Computing by Stephen H. Fairclough, Kiel Gilleade

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