| Autor: |
Anouk Van de Vel, Milica Milosevic, Bert Bonroy, Kris Cuppens, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel, Berten Ceulemans |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Epilepsy and Behavior Case Reports, Vol 5, Iss C, Pp 66-71 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2213-3232 |
| DOI: |
10.1016/j.ebcr.2016.03.005 |
| Popis: |
Purpose: 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. Conclusion: 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
