Multimodal nocturnal seizure detection: Do we need to adapt algorithms for children?

Richard H C Lazeron1, Roland D Thijs2, Johan Arends1

  • 1Kempenhaeghe ACE, Heeze, The Netherlands.

Epilepsia Open
|June 6, 2022
PubMed

Insights

This study adapted a seizure detection device for children, improving its accuracy by considering body position. The modified device achieved a high sensitivity and significantly reduced false alarms, making it more reliable for pediatric epilepsy monitoring.

Area of Science:

  • Neurology
  • Biomedical Engineering
  • Pediatric Epilepsy

Background:

  • Multimodal seizure detection devices, initially validated in adults, require assessment in pediatric populations.
  • Epilepsy in children, particularly those with intellectual disabilities, presents unique monitoring challenges.
  • Nocturnal seizure detection relies on physiological signals like heart rate and movement.

Purpose of the Study:

  • To evaluate the performance of a multimodal seizure detection device in a pediatric cohort.
  • To assess the device's sensitivity and positive predictive value (PPV) in children with epilepsy.
  • To investigate methods for reducing false alarms in pediatric seizure detection.

Main Methods:

  • A multicenter, prospective, video-controlled cohort study involving children with epilepsy and intellectual disability.
  • Participants wore a Nightwatch bracelet for nocturnal seizure detection over three months.
  • Seizure classification involved reviewing video recordings of alarms and nurse diaries.

Main Results:

  • Initial testing showed a sensitivity of 79.9% and a PPV of 26.7%, with a high false alarm rate (0.2/h), primarily due to heart rate detection in awake children.
  • An adaptation to the algorithm, incorporating body position (horizontal), significantly improved performance.
  • Post-adaptation, the device achieved a mean PPV of 55.5% and a reduced false alarm rate of 0.08/h, while maintaining a sensitivity of 79.4%.

Conclusions:

  • Seizure detection devices using heart rate and movement demonstrate comparable sensitivity in children and adults.
  • Children exhibit a higher false alarm rate, often linked to being awake and body movement.
  • Adjusting for body position effectively reduces false alarms in pediatric seizure detection, approaching adult levels.
Abstract