Document Detail

Pre-ictal heart rate variability assessment of epileptic seizures by means of linear and non-linear analyses.
MedLine Citation:
PMID:  24108758     Owner:  NLM     Status:  Publisher    
OBJECTIVE: The purpose of the present study was to analyze the effects of epilepsy on the autonomic control of the heart in pre-ictal phase in order to find an algorithm of early detection of seizure onset.
METHODS: Overall 133 epileptic seizures were analyzed from 12 patients with epilepsy (seven males and five females; mean age 43.91 years, SD: 10.16) participated in this study. Single lead electrocardiogram recordings of epileptic patients were compiled. 240, 90-30, 30-10 and 5 minutes heart rate variability (HRV) signals of preseizure were chosen for analysis of heart rate. As HRV signals are non-stationary, a set of time and frequency domain features (Mean HR, Triangular Index, LF, HF, LF/HF) and nonlinear parameters (SD1, SD2 and SD2/SD1 indices derived from Poincaré plots) extracted from HRV is analyzed. Statistical analysis was performed using paired sample t-test for comparisons of the segments.
RESULTS: There was slight tachycardia in segments near the seizure (30 minutes before: 85.3517 bpm, 5 minutes before: 119.3630.82 bpm, p=0.0207) which significantly differ from baseline in segments far from seizure (240 minutes before: 66.5211.7 bpm). Also there was significant increase in LF/HF ratio (30 minutes before: 1.10.22, 5 minutes before: 2.120.5, p=0.0332) and SD2/SD1 ratio (30 minutes before: 1.20.15, 5 minutes before: 2.030.55, p=0.0431) when compared to segments far from the seizure (240 minutes before: 0.780.24 and 0.780.14) respectively. Although there was about decrease of triangular index in segments near the seizure the percentage of decrease was not comparable to segments far from the seizure.
CONCLUSION: Significant changes of HRV parameters in pre-ictal (5 minutes before the seizure) are obviously higher in comparison to interictal baseline. Pre-ictal significant changes of HRV suggesting that this time can be considered as prediction time for designing an algorithm of early detection of seizure onset based on HRV.
Abstract available from the publisher.
Soroor Behbahani; Nader Jafarnia Dabanloo; Ali Motie Nasrabadi; Cesar A Teixseria; Antonio Dourado
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-10-07
Journal Detail:
Title:  Anadolu kardiyoloji dergisi : AKD = the Anatolian journal of cardiology     Volume:  -     ISSN:  1308-0032     ISO Abbreviation:  Anadolu Kardiyol Derg     Publication Date:  2013 Oct 
Date Detail:
Created Date:  2013-10-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101095069     Medline TA:  Anadolu Kardiyol Derg     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran-Iran.
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