Research and publications

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

Disclaimer: These publications represent only the outcomes of academic research, seizure risk and seizure cycles are not available as part of any of our commercial products.

PUBLICATION
VIDEO-EEG-ECG

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

Clinical Neurophysiology

PUBLICATION
VIDEO-EEG-ECG

Rates of Event Capture of Home Video EEG

Clinical Neurophysiology

PUBLICATION
VIDEO-EEG-ECG

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

Clinical Neurophysiology

PUBLICATION
SEIZURE CYCLES

Cycles in Epilepsy

Nature Reviews Neurology

PUBLICATION
FORECASTING

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

Brain

PUBLICATION
SEIZURE CYCLES

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

The Lancet Neurology

PUBLICATION
SEIZURE CYCLES

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

The Lancet EBioMedicine

PUBLICATION
SEIZURE CYCLES

Critical slowing down as a biomarker for seizure susceptibility

Frontiers in Neurology

PUBLICATION
MACHINE LEARNING

Machine learning and wearable devices of the future

Epilepsia

See all research

The Seer Research team

Prof Mark Cook AO

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Dr Ewan Nurse

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Dr Matias Maturana

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Research collaborations

All publications

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

Posted on January 9, 2023October 30, 2023 by admin

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Seizure forecasting using long-term electroencephalography and electrocardiogram data

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

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

Posted on August 23, 2021August 18, 2022 by admin

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

Posted on November 15, 2021August 18, 2022 by admin

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

Posted on November 16, 2021August 18, 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, 2021August 18, 2022 by admin

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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, 2022August 18, 2022 by admin

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

Posted on April 19, 2022August 18, 2022 by admin

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

Posted on May 12, 2022August 18, 2022 by admin

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

Posted on May 12, 2022August 18, 2022 by admin

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

Posted on May 12, 2022August 2, 2023 by admin

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Seizure forecasting: bifurcations in the long and winding road

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

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

Posted on August 5, 2022August 1, 2023 by admin

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

Posted on September 7, 2022July 31, 2023 by admin

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

Posted on October 24, 2022October 30, 2023 by admin

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Epileptic Seizure Cycles: Six Common Clinical Misconceptions

Posted on August 4, 2021August 18, 2022 by admin

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

Posted on January 11, 2023October 30, 2023 by admin

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Rates of event capture of home video EEG

Posted on February 24, 2023October 30, 2023 by admin

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Seizure occurrence is linked to multiday cycles in diverse physiological signals

Posted on April 17, 2023August 3, 2023 by admin

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

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

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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 admin

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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 admin

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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 admin

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

Posted on June 22, 2023August 1, 2023 by admin

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An update on the seizures beget seizures theory

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

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

Posted on August 30, 2023August 30, 2023 by admin

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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 admin

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Feasibility and acceptability of an ultra-long-term at-home EEG monitoring system (EEG@HOME) for people with epilepsy

Posted on January 8, 2024January 8, 2024 by admin

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Early discontinuation of ambulatory vEEG among individuals with intellectual disabilities: a retrospective chart review

Posted on February 2, 2024February 2, 2024 by admin

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Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals

Posted on February 14, 2024February 14, 2024 by admin

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Seizure forecasting and cyclic control of seizures

Posted on July 26, 2020August 18, 2022 by admin

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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, 2018August 18, 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, 2019August 18, 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, 2019October 27, 2023 by seermedical

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

Posted on January 9, 2020August 18, 2022 by admin

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Machine learning and wearable devices of the future

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

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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, 2020August 18, 2022 by admin

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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, 2020August 18, 2022 by admin

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Signal quality and patient experience with wearable devices for epilepsy management

Posted on September 9, 2020October 27, 2023 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, 2020August 18, 2022 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 admin

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

Posted on December 22, 2020August 18, 2022 by admin

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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 admin

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Cycles in epilepsy

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

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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 admin

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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 admin

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

Posted on July 16, 2021August 18, 2022 by admin

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Forecasting seizure likelihood with wearable technology

Posted on July 16, 2021August 18, 2022 by admin

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Disclaimer: Seer Medical's video-EEG-ECG monitoring equipment is not available for purchase by the general public.
The equipment is only available through prescription by a healthcare professional.