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Title: Reliability of measurements for sub-painful and painful perception on artificial electrical stimulations
Authors: Chan, SCC 
Peng, J 
Chan, CCH 
Keywords: Electrical stimulation
Numerical rating scale
Tactile sensation
Issue Date: 2018
Publisher: Elsevier B.V.
Source: International journal of psychophysiology, 2018, v. 123, p. 35-41 How to cite?
Journal: International journal of psychophysiology 
Abstract: Artificial electrical stimulation is a common type of stimulus to induce sub-painful and painful sensation in clinical or neuroscience experiments. The Numerical Rating Scale (NRS) is often used to evaluate subjective perception due to external stimulations. Yet the relationship between the intensity levels of electrical stimulations and self-perception has seldom been examined. The aim of the study was to obtain evidence on the reliability and accuracy of sub-painful and painful perceptions of healthy participants using the NRS under different levels of electrical stimulus. A total of 72 pain-free healthy volunteers (female = 44) were recruited. In the first experiment, each participant was given different levels of a non-nociceptive or nociceptive electrical stimulus and then asked to give a perception rating based on an 11-point NRS. In the second experiment, each participant was asked to memorize 5 levels of sub-nociceptive or nociceptive stimuli and to recognize the level of stimulus given each time. For the NRS rating task, intraclass coefficients (ICCs) reached satisfactory level for sub-nociceptive (0.85 < ICC < 0.93) and nociceptive stimulation (0.90 < ICC < 0.96). The ICCs were the highest for the weakest sub-nociceptive and nociceptive stimuli. For the stimulus recognition task, accuracy was also found to be highest for the weakest sub-nociceptive stimulus (κ = 0.67) and lowest for the strongest nociceptive stimulus (κ = 0.34). The results suggest that, with adequate training, NRS can be a reliable measurement tool for both sub-painful and painful rating due to electrical stimulation.
ISSN: 0167-8760
EISSN: 1872-7697
DOI: 10.1016/j.ijpsycho.2017.11.012
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