title: Long-term accelerometry-triggered video monitoring and detection of tonic-clonic and clonic seizures in a home environment: Pilot study.
abstract: OBJECTIVE
  The aim of our study was to test the efficacy of the VARIA system (video, accelerometry, and radar-induced activity recording) and validation of accelerometry-based detection algorithms for nocturnal tonic-clonic and clonic seizures developed by our team.
  
  
  METHODS
  We present the results of two patients with tonic-clonic and clonic seizures, measured for about one month in a home environment with four wireless accelerometers (ACM) attached to wrists and ankles. The algorithms were developed using wired ACM data synchronized with the gold standard video-/electroencephalography (EEG) and then run offline on the wireless ACM signals. Detection of seizures was compared with semicontinuous monitoring by professional caregivers (keeping an eye on multiple patients).
  
  
  RESULTS
  The best result for the two patients was obtained with the semipatient-specific algorithm which was developed using all patients with tonic-clonic and clonic seizures in our database with wired ACM. It gave a mean sensitivity of 66.87% and false detection rate of 1.16 per night. This included 13 extra seizures detected (31%) compared with professional caregivers' observations.
  
  
  CONCLUSIONS
  While the algorithms were previously validated in a controlled video/EEG monitoring unit with wired sensors, we now show the first results of long-term, wireless testing in a home environment.
authors.affiliation: Department of Neurology-Paediatric Neurology, University Hospital, University of Antwerpen, Wilrijkstraat 10, 1650 Edegem, Belgium.
authors.forename: Anouk
authors.initials: A
authors.lastname: Van de Vel
authors.affiliation: Department of Electrical Engineering (ESAT), STADIUS, KU Leuven, Kasteelpark Arenberg 10, Box 2446, 3001 Heverlee, Belgium; iMinds IT Department, KU Leuven, Kasteelpark Arenberg 10, Box 2446, 3001 Heverlee, Belgium.
authors.forename: Milica
authors.initials: M
authors.lastname: Milosevic
authors.affiliation: MOBILAB, Thomas More Kempen, Kleinhoefstraat 4, 2440 Geel, Belgium.
authors.forename: Bert
authors.initials: B
authors.lastname: Bonroy
authors.affiliation: MOBILAB, Thomas More Kempen, Kleinhoefstraat 4, 2440 Geel, Belgium.
authors.forename: Kris
authors.initials: K
authors.lastname: Cuppens
authors.affiliation: Rehabilitation Center for Children and Youth Pulderbos, Reebergenlaan 4, 2242, Pulderbos, Belgium; Department of Child Neurology, University Hospital, KU Leuven, Herestraat 49, 3000 Leuven, Belgium.
authors.forename: Lieven
authors.initials: L
authors.lastname: Lagae
authors.affiliation: Department of Electrical Engineering (ESAT), STADIUS, KU Leuven, Kasteelpark Arenberg 10, Box 2446, 3001 Heverlee, Belgium; iMinds IT Department, KU Leuven, Kasteelpark Arenberg 10, Box 2446, 3001 Heverlee, Belgium; Department of Electrical Engineering (ESAT), Advanced Integrated Sensing (AdvISe), KU Leuven, Kleinhoefstraat 4, 2440 Geel, Belgium.
authors.forename: Bart
authors.initials: B
authors.lastname: Vanrumste
authors.affiliation: Department of Electrical Engineering (ESAT), STADIUS, KU Leuven, Kasteelpark Arenberg 10, Box 2446, 3001 Heverlee, Belgium; iMinds IT Department, KU Leuven, Kasteelpark Arenberg 10, Box 2446, 3001 Heverlee, Belgium.
authors.forename: Sabine
authors.initials: S
authors.lastname: Van Huffel
authors.affiliation: Department of Neurology-Paediatric Neurology, University Hospital, University of Antwerpen, Wilrijkstraat 10, 1650 Edegem, Belgium; Rehabilitation Center for Children and Youth Pulderbos, Reebergenlaan 4, 2242, Pulderbos, Belgium.
authors.forename: Berten
authors.initials: B
authors.lastname: Ceulemans
keywords: Data storage; Epilepsy; Nonpatient-specific algorithm; Patient-specific algorithm; Semipatient-specific algorithm; Visual verification