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Wearable devices for seizure detection: Practical experiences and recommendations from the Wearables for Epilepsy And Research (WEAR) International Study Group.

Elisa BrunoSebastian BöttcherPedro F VianaMarta Amengual-GualBoney JosephNino EpitashviliMatthias DuempelmannMartin GlasstetterAndrea BiondiKristof Van LaerhovenTobias LoddenkemperMark P RichardsonAndreas Schulze-BonhageBenjamin H Brinkman
Published in: Epilepsia (2021)
The Wearables for Epilepsy And Research (WEAR) International Study Group identified a set of methodology standards to guide research on wearable devices for seizure detection. We formed an international consortium of experts from clinical research, engineering, computer science, and data analytics at the beginning of 2020. The study protocols and practical experience acquired during the development of wearable research studies were discussed and analyzed during bi-weekly virtual meetings to highlight commonalities, strengths, and weaknesses, and to formulate recommendations. Seven major essential components of the experimental design were identified, and recommendations were formulated about: (1) description of study aims, (2) policies and agreements, (3) study population, (4) data collection and technical infrastructure, (5) devices, (6) reporting results, and (7) data sharing. Introducing a framework of methodology standards promotes optimal, accurate, and consistent data collection. It also guarantees that studies are generalizable and comparable, and that results can be replicated, validated, and shared.
Keyphrases
  • public health
  • big data
  • emergency department
  • heart rate
  • mental health
  • machine learning
  • case control
  • loop mediated isothermal amplification