A model for impulse frequency modulation used in neural encoding

A comparison between different models of the relation between recorded intradental nerve impulse activity and reported pain in man

In this study three different models of the relation between intradental nerve impulse activity (INA) and pain report, expressed by finger-span (FS), in man were investigated. The techniques were (i) a previously described mathematical model, (ii) the relation between the Areas of INA and FS and (iii) the relation between the Peaks of INA and FS. Their usefulness in 533 clinical experiments on 15 subjects were evaluated by means of a statistical analysis of the variability and accuracy of the models. It was shown that the mathematical model was the most accurate and stable method of the three different methods investigated. This was indicated by, among other things, a significantly smaller variability for the mathematical model within experimental sessions than between sessions. The two other methods were found to be of less scientific value since they had an undesired high variability within sessions, and also showed contradicting results during control conditions.

Evaluation of a mathematical model analysing the relation between intradental nerve impulse activity and perceived pain in man

In this investigation the usefulness and accuracy of the parameters of a mathematical model for the analysis of the effectiveness of different pain relieving procedures on pulpal pain were studied. The investigation was carried out using a previously developed mathematical/biological model on data from original subject recordings of Intradental Nerve Impulse Activity (INA) and pain estimations. Computer simulated INA and pain estimation curves were also used to enable calculation of the mathematical and biological conditions that are essential for the actual mathematical/biological model, and to facilitate the interpretation of the parameters of the model. It was shown by means of both real and simulated data that the mathematical model is well suited for the analysis of the effectiveness of some pain relieving procedures on pulpal pain. It was also shown that, by means of three new variables, the model could be made even more accurate and useful for this application.