Glossary // Glossary term Technical

Feature

In signal processing and machine learning, a quantity computed from a raw signal and used as input to analysis or classification, such as mean heart rate, an HRV index or the number of skin conductance responses per minute. Feature choice encodes assumptions about which aspects of a signal matter, and different features derived from the same recording can lead to different conclusions. A feature that separates conditions in one sample may not generalise to other people or contexts.

Where the site uses it

Studies behind it

The works the definition rests on, with the level of evidence each was appraised at.

  • Laborde, S., Mosley, E., & Thayer, J. F. (2017). Heart rate variability and cardiac vagal tone in psychophysiological research: Recommendations for experiment planning, data analysis, and data reporting. doi:10.3389/fpsyg.2017.00213

    Level D Review

    Supports the claims that HRV indexes cardiac vagal tone and that its findings are easily misconstrued without careful design, analysis and reporting. Methods guidance, not evidence about emotion categories.

  • Siegel, E. H., Sands, M. K., Van den Noortgate, W., Condon, P., Chang, Y., Dy, J., Quigley, K. S., & Barrett, L. F. (2018). Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categories. doi:10.1037/bul0000128

    Level A Meta-analysis

    Supports the claim that autonomic effect-size patterns did not clearly distinguish one emotion category from another and varied substantially within categories. Laboratory inductions; the interpretation favours one theory of emotion.