Abstract:
:Reliably detecting focal seizures without secondary generalization during daily life activities, chronically, using convenient portable or wearable devices, would offer patients with active epilepsy a number of potential benefits, such as providing more reliable seizure count to optimize treatment and seizure forecasting, and triggering alarms to promote safeguarding interventions. However, no generic solution is currently available to reach these objectives. A number of biosignals are sensitive to specific forms of focal seizures, in particular heart rate and its variability for seizures affecting the neurovegetative system, and accelerometry for those responsible for prominent motor activity. However, most studies demonstrate high rates of false detection or poor sensitivity, with only a minority of patients benefiting from acceptable levels of accuracy. To tackle this challenging issue, several lines of technological progress are envisioned, including multimodal biosensing with cross-modal analytics, a combination of embedded and distributed self-aware machine learning, and ultra-low-power design to enable appropriate autonomy of such sophisticated portable solutions.
journal_name
Epilepsiajournal_title
Epilepsiaauthors
Ryvlin P,Cammoun L,Hubbard I,Ravey F,Beniczky S,Atienza Ddoi
10.1111/epi.16538subject
Has Abstractpub_date
2020-11-01 00:00:00pages
S47-S54eissn
0013-9580issn
1528-1167journal_volume
61 Suppl 1pub_type
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