Abstract
Long-term home monitoring of epileptic seizures is not feasible with the gold standard
of video/electro-encephalography (EEG) monitoring. The authors developed a system
and algorithm for nocturnal hypermotor seizure detection in pediatric patients based
on an accelerometer (ACM) attached to extremities. Seizure detection is done using
normal movement data, meaning that the system can be installed in a new patient's
room immediately as prior knowledge on the patient's seizures is not needed for the
patient-specific model.
In this study, the authors compared video/EEG-based seizure detection with ACM data
in seven patients and found a sensitivity of 95.71% and a positive predictive value
of 57.84%.
The authors focused on hypermotor seizures given the availability of this seizure
type in the data, the typical occurrence of these seizures during sleep, i.e., when
the measurements were done, and the importance of detection of hypermotor seizures
given their often refractory nature and the possible serious consequences. To our
knowledge, it is the first detection system focusing on this type of seizure in pediatric
patients.
Highlights
- First to focus on nocturnal hypermotor seizures in pediatric patients.
- Ambulant movement detection compared to video/EEG-based detection.
- Sensitivity of 95.71% and PPV of 57.84%.
Keywords
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Article info
Publication history
Accepted:
October 15,
2012
Received in revised form:
October 12,
2012
Received:
September 12,
2012
Identification
Copyright
© 2012 Elsevier Inc. Published by Elsevier Inc. All rights reserved.
