Evidence map›Paper›PMID 32484920›Full record

ReviewEpilepsia2020

Noninvasive detection of focal seizures in ambulatory patients.

Philippe Ryvlin, Leila Cammoun, Ilona Hubbard, France Ravey, Sandor Beniczky, David Atienza

Abstract readReview
In one paragraph

Review in Epilepsia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Seizure Detection Devices.Journal of clinical medicine · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Philippe RyvlinDepartment of Clinical Neurosciences, Vaud University Hospital, Lausanne, Switzerland.ORCID 0000-0001-7775-6576
Leila CammounDepartment of Clinical Neurosciences, Vaud University Hospital, Lausanne, Switzerland.
Ilona HubbardDepartment of Clinical Neurosciences, Vaud University Hospital, Lausanne, Switzerland.
France RaveyDepartment of Clinical Neurosciences, Vaud University Hospital, Lausanne, Switzerland.
Sandor BeniczkyDepartment of Clinical Neurophysiology, Danish Epilepsy Center, Dianalund, Denmark.ORCID 0000-0002-6035-6581
David AtienzaDepartment of Clinical Neurosciences, Vaud University Hospital, Lausanne, Switzerland.

Funding

Swiss National Science Fund #320030-179240
6 · The paper itself

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.

Indexed as

Wearable Electronic DevicesHumansMonitoring, AmbulatorySeizuresfocal seizureseizure detectionwearable devices

Identifiers

PMID32484920
PMCPMC7754288

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.