P. Viana

发表

Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review

M. Richardson, A. Biondi, D. Pal, 2022, Epilepsia.

Multimodal wearable sensors inform cycles of seizure risk

A. Schulze-Bonhage, B. Brinkmann, M. Richardson, 2022, medRxiv.

Temporal Evolution of Multiday, Epileptic Functional Networks Prior to Seizure Occurrence

A. Schulze-Bonhage, J. Winston, M. Richardson, 2022, medRxiv.

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

A. Schulze-Bonhage, B. Brinkmann, M. Richardson, 2020, Annals of clinical and translational neurology.

Detecting temporal lobe seizures in ultra long-term subcutaneous EEG using algorithm-based data reduction

T. Kjaer, M. Richardson, S. Beniczky, 2022, Clinical Neurophysiology.

Seizure detection at home: Do devices on the market match the needs of people living with epilepsy and their caregivers?

Michael R Sperling, Mark P Richardson, Pedro F Viana, 2020, Epilepsia.

Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic

Philippa J. Karoly, A. Schulze-Bonhage, B. Brinkmann, 2021, Frontiers in Neurology.

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

Philippa J. Karoly, B. Brinkmann, I. Balzekas, 2023, medRxiv.

Diagnostic yield and limitations of in‐hospital documentation in patients with epilepsy

A. Schulze-Bonhage, A. Brandt, D. Altenmüller, 2022, Epilepsia.

Remote and Long-Term Self-Monitoring of Electroencephalographic and Noninvasive Measurable Variables at Home in Patients With Epilepsy (EEG@HOME): Protocol for an Observational Study

M. Richardson, M. Schreuder, E. Nurse, 2021, JMIR research protocols.

Forecasting Seizure Likelihood With Wearable Technology

Philippa J. Karoly, B. Brinkmann, M. Richardson, 2021, Frontiers in Neurology.

Signal quality and power spectrum analysis of remote ultra long‐term subcutaneous EEG

A. Schulze-Bonhage, T. Kjaer, B. Brinkmann, 2021, medRxiv.

Acute porphyric polyneuropathy in a pregnant patient with systemic lupus erythematosus.

A. P. Antunes, S. Parreira, P. Viana, 2022, Neurologia.

Acute porphyric polyneuropathy in a pregnant patient with systemic lupus erythematosus.

A. P. Antunes, L. Albuquerque, S. Parreira, 2021, Neurologia.

Remote and Long-Term Self-Monitoring of Electroencephalographic and Noninvasive Measurable Variables at Home in Patients With Epilepsy (EEG@HOME): Protocol for an Observational Study (Preprint)

M. Richardson, M. Schreuder, E. Nurse, 2020 .

Perceived seizure risk in epilepsy: Chronic electronic surveys with and without concurrent electroencephalography

Philippa J. Karoly, B. Brinkmann, G. Worrell, 2023, Epilepsia.

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

A. Schulze-Bonhage, B. Brinkmann, G. Worrell, 2021, Journal of neural engineering.

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

Kristof Van Laerhoven, A. Schulze-Bonhage, B. Brinkmann, 2021, Epilepsia.

Signal quality and patient experience with wearable devices for epilepsy management

Andreas Schulze-Bonhage, Matthias Dümpelmann, Mona Nasseri, 2020, Epilepsia.

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

B. Brinkmann, G. Worrell, M. Richardson, 2021, Scientific Reports.

Minimum clinical utility standards for wearable seizure detectors: A simulation study

D. Goldenholz, E. Nurse, E. Bruno, 2024, Epilepsia.

Minimally invasive surgery for placement of a subcutaneous EEG implant

Esben Ahrens, P. Viana, Bjarki D. Djurhuus, 2023, Frontiers in surgery.

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

A. Schulze-Bonhage, T. Kjaer, B. Brinkmann, 2022, Epilepsia.

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

A. Schulze-Bonhage, T. Kjaer, B. Brinkmann, 2022, Epilepsia.

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

Philippa J. Karoly, M. Richardson, D. Freestone, 2023, EBioMedicine.

Seizure forecasting with non- and minimally-invasive devices

P. Viana, Michiel Tent, 2022, Medicom Conference Report EAN 2022.

Seizure Forecasting with Non-invasive and Minimally Invasive Mobile Devices: The Epilepsy Foundation’s My Seizure Gauge Study

Tal Pal Attia, A. Schulze-Bonhage, B. Brinkmann, 2022, EMJ Neurology.

Seizure occurrence is linked to multiday cycles in diverse physiological signals

Philippa J. Karoly, Tal Pal Attia, A. Schulze-Bonhage, 2023, Epilepsia.