Title :
Multiple Coherence vs Multiple Component Synchrony Measure for somatosensory evoked response detection
Author :
Melges, Danilo B. ; De Sá, Antonio Mauricio F L Miranda ; Infantosi, Antonio Fernando C
Author_Institution :
Infantosi are with the Biomed. Eng. Program, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
This work aims at comparing the performance of two Multivariate Objective Response Detection (MORD) techniques in the frequency domain, the Multiple Coherence (MC) and the Multiple Component Synchrony Measure (MCSM), for tibial nerve somatosensory evoked potential (SEP) detection. Electroencephalographic (EEG) signals during somatosensory stimulation were collected from forty adult volunteers using the 10-20 International System. The stimulation was carried out throughout current pulses (200 μs width) applied to the right posterior tibial nerve (motor threshold intensity level) at the rate of 5 Hz. The response detection was based on rejecting the null hypothesis of response absence (M = 100 and M = 800 epochs and significance level α = 0.05). The MORD techniques were applied to the pairs of derivations [Cz][Fz] and [C3][C4]. The MC outperforms the MCSM, regardless the pair of derivations or the number of epochs used for the estimates calculation. Hence, the MC should be used, if two derivations are available for SEP recording.
Keywords :
bioelectric potentials; electroencephalography; medical signal detection; medical signal processing; somatosensory phenomena; 10-20 International System; SEP recording; electroencephalographic signals; frequency 5 Hz; motor threshold intensity level; multiple coherence; multiple component synchrony measure; multivariate objective response detection technique; right posterior tibial nerve; somatosensory evoked response detection; somatosensory stimulation; tibial nerve somatosensory evoked potential detection; Coherence; Electroencephalography; Frequency domain analysis; Monitoring; Pediatrics; Synchronization; Adult; Algorithms; Data Interpretation, Statistical; Electroencephalography; Evoked Potentials, Somatosensory; Humans; Male; Pattern Recognition, Automated; Principal Component Analysis; Reproducibility of Results; Sensitivity and Specificity; Somatosensory Cortex; Young Adult;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626682