Probability of detection of clinical seizures using heart rate changes.

Purpose: Heart rate-based seizure detection is a viable complement or alternative to ECoG/EEG. This study investigates the role of various biological factors on the probability of clinical seizure detection using heart rate.

Methods: Regression models were applied to 266 clinical seizures recorded from 72 subjects to investigate if factors such as age, gender, years with epilepsy, etiology, seizure site origin, seizure class, and data collection centers, among others, shape the probability of EKG-based seizure detection.

Is seizure detection based on EKG clinically relevant?

Objective: Real-time EKG-based automated seizure detection is emerging as a complement or supplement to that based on cortical signals, but its value is unproven. This study assesses the clinically relevance of EKG-based seizure detection by comparing the information content in EKG and ECoG.

Methods: ECoGs (6935h; 241 clinical and 4311 sub-clinical seizures) with simultaneous EKG from 81 subjects undergoing surgical evaluation were used in these analyses.

Bootstrapping with models for count data.

Two methods of bootstrap resampling are discussed with log-linear models for count data. The first involves the resampling of observations and the second involves the resampling of Pearson residuals taking into account changes in the distribution of residuals associated with the expected values of counts. The use of both methods is illustrated on two data sets; one data set concerns the number of ear infections of swimmers related to whether they are frequent swimmers or not and three other variables, and the other data set concerns the number of visits to a doctor made in the last 2 weeks related to the age of subjects and 10 other variables.

Toward a quantitative multivariate analysis of the efficacy of antiseizure therapies.

Seizure frequency is the only variable used for assessing therapeutic efficacy. Advances in quantitative analyses allow measurement of intensity, duration, spread, and time between seizures (TBS). These variables are used here to investigate the efficacy of brain electrical stimulation in humans with pharmacoresistant seizures.