Evaluation of an automated analysis for pain-related evoked potentials

Abstract: This paper presents initial steps towards an auto-mated analysis for pain-related evoked potentials (PREP) to achieve a higher objectivity and non-biased examination as well as a reduction in the time expended during clinical daily routines. While manually examining, each epoch of an en-semble of stimulus-locked EEG signals, elicited by electrical stimulation of predominantly intra-epidermal small nerve fibers and recorded over the central electrode (Cz), is in-spected for artifacts before calculating the PREP by averag-ing the artifact-free epochs. Afterwards, specific peak-latencies (like the P0-, N1 and P1-latency) are identified as certain extrema in the PREP’s waveform. The proposed automated analysis uses Pearson’s correlation and low-pass differentiation to perform these tasks. To evaluate the auto-mated analysis’ accuracy its results of 232 datasets were compared to the results of the manually performed examina-tion. Results of the automated artifact rejection were compa-rable to the manual examination. Detection of peak-latencies was more heterogeneous, indicating some sensitivity of the detected events upon the criteria used during data examina-tion.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Evaluation of an automated analysis for pain-related evoked potentials ; volume:3 ; number:2 ; year:2017 ; pages:413-416 ; extent:4 ; Current directions in biomedical engineering ; 3, Heft 2 (2017), 413-416 (gesamt 4)

Contributors, Places and Time

• Creator: Wulf, Michael ; Eitner, Lynn ; Felderhoff, Thomas ; Özgül, Özüm ; Staude, Gerhard ; Maier, Christoph ; Knopp, Andreas ; Höffken, Oliver

Further information

• DOI: 10.1515/cdbme-2017-0087
• URN: urn:nbn:de:101:1-2023030713130961241925
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 11:00 AM CEST