Machine scoring of somatosensory evoked potentials

H. Pratt, N. Mittelman, A. B. Geva

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


A machine-scoring algorithm was developed for automatic identification and measurement of the positive and negative peaks of short-latency somatosensory evoked potentials (SEPs). The algorithm enables objective and consistent identification and naming of specific components with minimal operator involvement, avoiding inaccuracies and variability resulting from differences in the criteria used by different operators, or by the same operator at different times. The algorithm is based on finite impulse response filtering of wave forms from 4 conventional recording channels at a bandpass of 90-240 Hz. The bandpass was based on the major lobe in power spectra of multiple records and was verified as effective by application to numerous wave forms. Peak identification is based on identifying the peak at its optimal channel and verifying its consistency with corresponding peaks in the other channels. The machine-scoring algorithm was validated on SEPs from 120 subjects. The machine-scored peak latencies obtained with this procedure were significantly correlated with their manually measured counterparts.

Original languageEnglish
Pages (from-to)89-92
Number of pages4
JournalElectroencephalography and Clinical Neurophysiology/ Evoked Potentials
Issue number1
StatePublished - 1 Jan 1994
Externally publishedYes


  • Automatic peak measurement
  • Digital filtering
  • Machine scoring
  • Somatosensory evoked potentials

ASJC Scopus subject areas

  • General Neuroscience
  • Clinical Neurology


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