By Stephen H. Fairclough, Kiel Gilleade
This edited assortment will supply an outline of the sector of physiological computing, i.e. using physiological indications as enter for laptop keep watch over. it's going to hide a breadth of present learn, from brain-computer interfaces to telemedicine.
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Additional info for Advances in Physiological Computing
01 microsiemens have been suggested for modern sensors (Boucsein 2011). 05 microsiemens value seems to be used today mainly because it is popular. However, given the myriad of possibilities regarding sensor placement, use of gel, sensor amplification, and filtering, all of which affect the range of the signal, it makes little sense to always use the same threshold. In fact, we may wonder whether counting the number of skin conductance responses itself may not be a relic. g. e. variance, skewness or kurtosis).
As an illustration of how problematic this can be, Picard et al. (2001) analyzed the psychophysiological responses of a single subject who expressed eight emotional states daily over 20 days. They were able to classify the eight emotions with an accuracy of 81 %. They then attempted to classify the measured emotions according to the day they were evoked and were able to classify the day with an accuracy of 83 %. It is therefore easier to determine the day on which an emotion was expressed than the type of emotion from physiology!
Motion artefacts in the electrocardiogram (ECG) can be noticed easily, but are still difficult to remove since their frequency range partially overlaps the frequency range of the ECG. Ambulatory sensors may be the solution for at least some environmental factors, as they are specifically built for robustness in rough conditions. Even researchers who are only interested in laboratory studies could thus benefit from ambulatory sensors. g. sensor output can vary with operating temperature). In such cases, physiological computing experts should keep up to date with discoveries in fields such as metrology and biomedical engineering while remaining aware of sensors’ shortcomings and potentially compensating for them using signal processing (Signal Processing).