Evoked Response Signal and System Nonlinearity

1987 ◽  
Vol BME-34 (10) ◽  
pp. 771-778 ◽  
Author(s):  
Philip A. Parker ◽  
Ramachandran Gopalan
Keyword(s):  
Evoked Response ◽  
Response Signal ◽  
System Nonlinearity

Effects of Body Position and Exercise on Evoked Response Signal for Automatic Threshold Activation

1999 ◽  
Vol 22 (10) ◽  
pp. 1476-1480 ◽  
Author(s):  
ANDREAS SCHUCHERT ◽  
RODOLFO VENTURA ◽  
THOMAS MEINERTZ
Keyword(s):  
Body Position ◽  
Evoked Response ◽  
Response Signal

Effect of Pocket Location on LV→Can Evoked Response Signal for LV Capture Detection in CRT Devices

2010 ◽  
Vol 16 (8) ◽  
pp. S55-S56
Author(s):  
Michael C. Giudici ◽  
Gautham Kalahasty ◽  
John H. Lobban ◽  
Rahul N. Doshi ◽  
Michael R. Gold ◽  
...  
Keyword(s):  
Evoked Response ◽  
Response Signal

The Left Ventricular Evoked Response Signal in Bipolar LV Pacing Leads of Large Electrode Surface Area

2010 ◽  
Vol 16 (8) ◽  
pp. S51
Author(s):  
Rahul N. Doshi ◽  
Gautham Kalahasty ◽  
John H. Lobban ◽  
Michael C. Giudici ◽  
Michael R. Gold ◽  
...  
Keyword(s):  
Surface Area ◽  
Electrode Surface ◽  
Left Ventricular ◽  
Evoked Response ◽  
Response Signal ◽  
Pacing Leads

Visual Evoked-Response Correlates of Speechreading Performance in Normal-Hearing Adults

1983 ◽  
Vol 26 (1) ◽  
pp. 2-9 ◽  
Author(s):  
Vincent J. Samar ◽  
Donald G. Sims
Keyword(s):  
Multiple Correlation Coefficient ◽  
Evoked Response ◽  
Multiple Correlation ◽  
Potential Significance ◽  
Visual Evoked Response ◽  
Latency Measure ◽  
Two Measures ◽  
Components Analysis ◽  
The Relationship ◽  
Visual Evoked

The relationship between the latency of the negative peak occurring at approximately 130 msec in the visual evoked-response (VER) and speechreading scores was investigated. A significant product-moment correlation of -.58 was obtained between the two measures, which confirmed the fundamental effect but was significantly weaker than that previously reported in the literature (-.90). Principal components analysis of the visual evoked-response waveforms revealed a previously undiscovered early VER component, statistically independent of the latency measure, which in combination with two other components predicted speechreading with a multiple correlation coefficient of S4. The potential significance of this new component for the study of individual differences in speechreading ability is discussed.

An Adaptive and Learning System for Feedback-Controlled Evoked Response Studies

1981 ◽  
Vol 20 (03) ◽  
pp. 169-173
Author(s):  
J. Wagner ◽  
G. Pfurtscheixer
Keyword(s):  
Brain Activity ◽  
Evoked Response ◽  
Learning System ◽  
Time Interval ◽  
Electrical Brain Activity ◽  
Long Time ◽  
The Subject ◽  
Eeg Power ◽  
Stimulation System ◽  
Background Eeg

The shape, latency and amplitude of changes in electrical brain activity related to a stimulus (Evoked Potential) depend both on the stimulus parameters and on the background EEG at the time of stimulation. An adaptive, learnable stimulation system is introduced, whereby the subject is stimulated (e.g. with light), whenever the EEG power is subthreshold and minimal. Additionally, the system is conceived in such a way that a certain number of stimuli could be given within a particular time interval. Related to this time criterion, the threshold specific for each subject is calculated at the beginning of the experiment (preprocessing) and adapted to the EEG power during the processing mode because of long-time fluctuations and trends in the EEG. The process of adaptation is directed by a table which contains the necessary correction numbers for the threshold. Experiences of the stimulation system are reflected in an automatic correction of this table. Because the corrected and improved table is stored after each experiment and is used as the starting table for the next experiment, the system >learns<. The system introduced here can be used both for evoked response studies and for alpha-feedback experiments.

Fast detection of system nonlinearity using nonstationary signals

2010 ◽  
Vol 24 (7) ◽  
pp. 2065-2075 ◽  
Author(s):  
E. Zhang ◽  
J. Antoni ◽  
R. Pintelon ◽  
J. Schoukens
Keyword(s):  
Nonstationary Signals ◽  
Fast Detection ◽  
System Nonlinearity
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