Probability of detection of clinical seizures using heart rate changes.

Seizure

Manly-Biostatistics Ltd., United States.

Published: August 2015

AI Article Synopsis

  • This study explores how various biological factors influence the effectiveness of heart rate-based seizure detection as an alternative to traditional ECoG/EEG methods.
  • It analyzed data from 266 seizures in 72 individuals, using regression models to identify key factors such as age, gender, and seizure characteristics that affect detection probability.
  • The findings indicate that heart rate changes can reliably detect seizures, particularly complex partial seizures, with detection probability being higher in males and increasing with a longer epilepsy duration, making it a practical method for monitoring seizures.

Article Abstract

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.

Results: Clinical seizure detection probability based on heart rate changes, is significantly (p<0.001) shaped by patients' age and gender, seizure class, and years with epilepsy. The probability of detecting clinical seizures (>0.8 in the majority of subjects) using heart rate is highest for complex partial seizures, increases with a patient's years with epilepsy, is lower for females than for males and is unrelated to the side of hemisphere origin.

Conclusion: Clinical seizure detection probability using heart rate is multi-factorially dependent and sufficiently high (>0.8) in most cases to be clinically useful. Knowledge of the role that these factors play in shaping said probability will enhance its applicability and usefulness. Heart rate is a reliable and practical signal for extra-cerebral detection of clinical seizures originating from or spreading to central autonomic network structures.

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Source
http://dx.doi.org/10.1016/j.seizure.2015.06.007DOI Listing

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