Application of time-frequency analysis to somatosensory evoked potential for intraoperative spinal cord monitoring

Autor: K D K Luk, Jcy Leong, Yong Hu, William W. Lu
Rok vydání: 2003
Předmět:
Adult
Male
Paper
medicine.medical_specialty
Adolescent
Medical sciences
Monitoring
-Intraoperative-methods
symbols.namesake
Evoked-Potentials
-Somatosensory-physiology
Evoked Potentials
Somatosensory
Monitoring
Intraoperative
Reaction Time
medicine
Humans
Latency (engineering)
Child
Analysis of Variance
Fourier Analysis
business.industry
Short-time Fourier transform
Reproducibility of Results
Signal Processing
Computer-Assisted
Spinal cord
Surgery
Scoliosis surgery
Time–frequency analysis
Spinal-Cord-physiology
Signal-Processing
-Computer-Assisted
Psychiatry and Mental health
Amplitude
medicine.anatomical_structure
Scoliosis
Spinal Cord
Somatosensory evoked potential
Fourier analysis
Psychiatry and neurology medical sciences
symbols
Female
Neurology (clinical)
business
Biomedical engineering
Zdroj: Journal of Neurology, Neurosurgery & Psychiatry. 74:82-87
ISSN: 0022-3050
DOI: 10.1136/jnnp.74.1.82
Popis: Objective: To investigate the improvement in the reliability of intraoperative spinal cord monitoring by applying time-frequency analysis to somatosensory evoked potentials (SEP). Methods: 34 patients undergoing scoliosis surgery were studied. SEP were recorded during different stages of scoliosis surgery. Averaged SEP signals were analysed intraoperatively by short time Fourier transform (STFT). The time-frequency characteristics of SEP were observed during surgery. The main peak in the time-frequency interpretation of SEP was measured in peak time, peak frequency, and peak power. The changes in these variables were compared with the changes in latency and amplitude during different surgical stages. Results: During different surgical stages, changes in peak times and peak powers were found to correlate with the changes in latency and amplitude, respectively. Peak time showed more variability than latency (p < 0.01), while peak power showed less variability than amplitude (p < 0.01). The peak frequency of SEP appeared to be unchanged during surgery. SEP signals were found to have specific time-frequency characteristics, with the time-frequency distribution of the signals being located in a particular time-frequency space. Conclusions: Time-frequency analysis of SEP waveforms reveals stable and easily identifiable characteristics. Peak power is recommended as a more reliable monitoring parameter than amplitude, while peak time monitoring was not superior to latency measurement. Applying time-frequency analysis to SEP can improve the reliability of intraoperative spinal cord monitoring.
published_or_final_version
Databáze: OpenAIRE
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