NeuroTec sitem-insel bern: closing the last mile in neurology
Neurology is focused on a model where patients receive their care through repeated visits to
clinics and doctor's offices. Diagnostic tests often require expensive and specialized …
clinics and doctor's offices. Diagnostic tests often require expensive and specialized …
Measuring synchrony in bio-medical timeseries
Paroxysms are sudden, unpredictable, short-lived events that abound in physiological
processes and pathological disorders, from cellular functions (eg, hormone secretion and …
processes and pathological disorders, from cellular functions (eg, hormone secretion and …
Prediction of seizure recurrence. A note of caution
Great strides have been made recently in documenting that machine-learning programs can
predict seizure occurrence in people who have epilepsy. Along with this progress have …
predict seizure occurrence in people who have epilepsy. Along with this progress have …
Chronobiology of epilepsy and sudden unexpected death in epilepsy
BL Kreitlow, W Li, GF Buchanan - Frontiers in neuroscience, 2022 - frontiersin.org
Epilepsy is a neurological disease characterized by spontaneous, unprovoked seizures.
Various insults render the brain hyperexcitable and susceptible to seizure. Despite there …
Various insults render the brain hyperexcitable and susceptible to seizure. Despite there …
Guidelines for conducting ethical artificial intelligence research in neurology: a systematic approach for clinicians and researchers
Preemptive recognition of the ethical implications of study design and algorithm choices in
artificial intelligence (AI) research is an important but challenging process. AI applications …
artificial intelligence (AI) research is an important but challenging process. AI applications …
Expert perspective: who may benefit most from the new ultra long-term subcutaneous EEG monitoring?
Today's modalities for short-term monitoring of EEG are primarily meant for supporting
clinical diagnosis of epilepsy or classifying seizures and interictal epileptiform discharges …
clinical diagnosis of epilepsy or classifying seizures and interictal epileptiform discharges …
Combining the neural mass model and Hodgkin–Huxley formalism: Neuronal dynamics modelling
T Ying, AN Burkitt, T Kameneva - Biomedical Signal Processing and Control, 2023 - Elsevier
Epilepsy is a neurological disorder that affects the nervous system and is characterized by
recurrent seizures. Experimental data shows that increase in the extracellular potassium …
recurrent seizures. Experimental data shows that increase in the extracellular potassium …
Seizure-related differences in biosignal 24-h modulation patterns
A seizure likelihood biomarker could improve seizure monitoring and facilitate adjustment of
treatments based on seizure risk. Here, we tested differences in patient-specific 24-h …
treatments based on seizure risk. Here, we tested differences in patient-specific 24-h …
Multi-scale modelling of the epileptic brain: advantages of computational therapy exploration
Objective: Epilepsy is a complex disease spanning across multiple scales, from ion
channels in neurons to neuronal circuits across the entire brain. Over the past decades …
channels in neurons to neuronal circuits across the entire brain. Over the past decades …
Explainable AI for wearable seizure logging: impact of data quality, patient age, and antiseizure medication on performance
M Halimeh, M Jackson, S Vieluf… - … : European Journal of …, 2023 - Elsevier
Objective Objective seizure count estimates are crucial for ambulatory epilepsy
management. Wearables have shown promise for the detection of tonic-clonic seizures but …
management. Wearables have shown promise for the detection of tonic-clonic seizures but …