Research and publications

Research is at the heart of what we do. Read the latest published works by the Seer Research team.

PUBLICATION
SEIZURE CYCLES

Multiday cycles of heart rate are associated with seizure likelihood: An observational cohort study

EBioMedicine

PUBLICATION
VIDEO-EEG-ECG

Cycles of self-reported seizure likelihood correspond to yield of diagnostic epilepsy monitoring

Epilepsia

PUBLICATION
SEIZURE CYCLES

Critical slowing down as a biomarker for seizure susceptibility

Nature Communications

PUBLICATION
FORECASTING

The circadian profile of epilepsy improves seizure forecasting

Brain — A Journal of Neurology

PUBLICATION
FORECASTING

Forecasting cycles of seizure likelihood

Epilepsia

PUBLICATION
SEIZURE CYCLES

Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study

The Lancet Neurology

PUBLICATION
MACHINE LEARNING

Water-soluble adhesive for stable long-term ambulatory EEG recordings

Clinical Neurophysiology

PUBLICATION
FORECASTING

Cycles in epilepsy

Nature Reviews Neurology

PUBLICATION
FORECASTING

Forecasting seizure likelihood with wearable technology

Frontiers in Neurology

See all research

The Seer Research team

Dean Freestone
Co-Founder

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Mark Cook
Chief Medical Officer

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Ewan Nurse
Director of Epilepsy Research

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Pip Karoly
Senior Data Scientist

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Dominique Eden
Data Scientist

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Matias Maturana
Product Manager

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Rachel Stirling
Data scientist

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Research collaborations

All publications

Space-time resolved inference-based neurophysiological process imaging: application to resting-state alpha rhythm

Posted on September 7, 2022August 2, 2023 by Peta

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Epileptic Seizure Cycles: Six Common Clinical Misconceptions

Posted on August 4, 2021August 2, 2023 by Peta

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Seizure forecasting using long-term electroencephalography and electrocardiogram data

Posted on August 4, 2021August 2, 2023 by Peta

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Seizure forecasting using a novel sub-scalp ultra-long term EEG monitoring system

Posted on August 23, 2021September 8, 2022 by Peta

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Ambulatory seizure forecasting with a wrist‑worn device using long‑short term memory deep learning

Posted on November 15, 2021September 8, 2022 by Peta

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Multiday cycles of heart rate are associated with seizure likelihood: An observational cohort study

Posted on November 16, 2021September 8, 2022 by seermedical

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Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast

Posted on November 16, 2021September 8, 2022 by Christina

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Computer-assisted EEG diagnostic review for idiopathic generalized epilepsy

Posted on November 16, 2021August 3, 2023 by seermedical

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Ambient air pollution and epileptic seizures: a panel study in Australia

Posted on April 18, 2022September 8, 2022 by Peta

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Seizure forecasting using minimally invasive, ultra-long-term subcutaneous electroencephalography: Individualized intrapatient models

Posted on April 19, 2022September 8, 2022 by Peta

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Seizure forecasting using minimally -invasive, ultra long-term subcutaneous EEG: Generalizable cross-patient models

Posted on May 12, 2022September 8, 2022 by Peta

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Classification of antiseizure drugs in cultured neuronal networks using multi-electrode arrays and unsupervised learning

Posted on May 12, 2022September 8, 2022 by Peta

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Seizure Forecasting by High-Frequency Activity (80–170 Hz) in Long-term Continuous Intracranial EEG Recordings

Posted on May 12, 2022September 8, 2022 by Peta

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Seizure forecasting: bifurcations in the long and winding road

Posted on May 24, 2022February 15, 2023 by Peta

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Water-soluble adhesive for stable long-term ambulatory EEG recordings

Posted on August 5, 2022August 2, 2023 by Peta

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Forecasting seizure likelihood with wearable technology

Posted on July 16, 2021September 8, 2022 by Peta

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Forecasting Psychogenic Non-Epileptic Seizure Likelihood from Ambulatory EEG and ECG

Posted on November 7, 2022November 7, 2022 by Peta

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Sleep and seizure risk in epilepsy: Bed and wake times are more important than sleep duration

Posted on January 9, 2023August 3, 2023 by Peta

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A cross-sectional investigation of cognition and epileptiform discharges in juvenile absence epilepsy

Posted on January 11, 2023August 3, 2023 by Peta

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Rates of event capture of home video EEG

Posted on February 24, 2023August 2, 2023 by Peta

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Seizure occurrence is linked to multiday cycles in diverse physiological signals

Posted on April 17, 2023July 28, 2023 by Peta

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Individualized seizure cluster prediction using machine learning and chronic ambulatory intracranial EEG

Posted on May 19, 2023August 2, 2023 by Peta

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Ambulatory Video EEG extended to 10 days: A retrospective review of a large database of ictal events

Posted on May 26, 2023August 2, 2023 by Peta

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Perceived seizure risk in epilepsy – Chronic electronic surveys with and without concurrent EEG

Posted on June 13, 2023August 3, 2023 by Peta

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Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study

Posted on June 19, 2023August 3, 2023 by Peta

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Classification of epileptic and psychogenic non-epileptic seizures using electroencephalography and electrocardiography

Posted on June 22, 2023August 2, 2023 by Peta

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An update on the seizures beget seizures theory

Posted on July 28, 2023August 3, 2023 by Peta

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Chronic intracranial EEG recordings and interictal spike rate reveal multiscale temporal modulations in seizure states

Posted on August 30, 2023 by Peta

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Deep learning for automated detection of generalized paroxysmal fast activity in lennox-gastaut syndrome

Posted on September 7, 2023September 11, 2023 by Peta

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Seizure forecasting and cyclic control of seizures

Posted on July 26, 2020September 8, 2022 by Peta

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Seizure prediction: Science fiction or soon to become reality?

Posted on November 15, 2015August 2, 2023 by seermedical

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Decoding EEG and LFP signals using deep learning: heading TrueNorth

Posted on May 16, 2016August 2, 2023 by seermedical

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A forward-looking review of seizure prediction

Posted on January 21, 2017August 2, 2023 by seermedical

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The circadian profile of epilepsy improves seizure forecasting

Posted on October 19, 2017August 3, 2023 by seermedical

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Are the days of counting seizures numbered?

Posted on April 26, 2018August 2, 2023 by seermedical

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Postictal suppression and seizure durations: A patient‐specific, long‐term iEEG analysis

Posted on April 26, 2018August 3, 2023 by seermedical

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Epilepsyecosystem.org: Crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

Posted on September 1, 2018August 3, 2023 by seermedical

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Circadian and circaseptan rhythms in human epilepsy: A retrospective cohort study

Posted on September 12, 2018September 8, 2022 by seermedical

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Seizure pathways: A model-based investigation

Posted on October 11, 2018August 3, 2023 by seermedical

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Loss of neuronal network resilience precedes seizures and determines the ictogenic nature of interictal synaptic perturbations

Posted on November 27, 2018August 3, 2023 by seermedical

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Methods for the detection of seizure bursts in epilepsy

Posted on March 26, 2019September 8, 2022 by seermedical

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Validation of ‘Somnivore’, a machine learning algorithm for automated scoring and analysis of polysomnography data

Posted on March 27, 2019September 8, 2022 by seermedical

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Epileptic seizure prediction using big data and deep learning: Toward a mobile system

Posted on January 9, 2020September 8, 2022 by Peta

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Machine learning and wearable devices of the future

Posted on July 26, 2020February 23, 2023 by Peta

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Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: A first-in-man study

Posted on June 28, 2013August 18, 2023 by seermedical

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A new era in electroencephalographic monitoring? Subscalp devices for ultra–long‐term recordings

Posted on August 22, 2020September 8, 2022 by Peta

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Computer-assisted estimation of interictal discharge burden in idiopathic generalized epilepsy

Posted on September 9, 2020August 18, 2023 by admin

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Past, present and future of home video‐electroencephalographic telemetry

Posted on September 9, 2020September 8, 2022 by admin

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Signal quality and patient experience with wearable devices for epilepsy management

Posted on September 9, 2020September 8, 2022 by admin

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Critical slowing down as a biomarker for seizure susceptibility

Posted on September 9, 2020August 3, 2023 by admin

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Forecasting cycles of seizure likelihood

Posted on September 9, 2020March 7, 2023 by seermedical

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230 days of ultra long-term subcutaneous EEG: seizure cycle analysis and comparison to patient diary

Posted on December 4, 2020August 2, 2023 by Peta

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Spatiotemporal patterns of high-frequency activity (80–170 Hz) in long-term intracranial EEG

Posted on December 22, 2020September 8, 2022 by Peta

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Cycles of self‐reported seizure likelihood correspond to yield of diagnostic epilepsy monitoring

Posted on January 28, 2021August 3, 2023 by Peta

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Cycles in epilepsy

Posted on March 16, 2021August 3, 2023 by Peta

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Non-invasive wearable seizure detection using long–short-term memory networks with transfer learning

Posted on April 8, 2021August 2, 2023 by Peta

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Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation

Posted on June 17, 2021August 3, 2023 by Peta

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Seizure diaries and forecasting with wearables: Epilepsy monitoring outside the clinic

Posted on July 16, 2021September 8, 2022 by Peta

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