Diogo Soriano

University of Oxford

United Kingdom

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Articles (20)

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2020

Collaborators (6)

Flavia Ravelli

University of Trento

ITALY

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Olaf Doessel

Professor

Karlsruhe Institute of Technology

GERMANY

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Lucia Katharina Feldmann

Charité - Universitätsmedizin Berlin

GERMANY

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Alekhya Mandali

Lecturer

University of Sheffield

UNITED KINGDOM

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Hayriye Cagnan

Senior Lecturer

Imperial College London

UNITED KINGDOM

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Fernando Moura

University of Helsinki

FINLAND

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Diogo Soriano

Research Interests

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Articles (20)

Electrophysiological changes in the acute phase after deep brain stimulation surgery

A generalizable and open-source algorithm for real-life monitoring of tremor in Parkinson’s disease

Functionally Isolated Sarcoplasmic Reticulum in Cardiomyocytes: Experimental and Mathematical Models

Field H1 of Forel vs Subthalamic Nucleus Electrical Stimulation in Parkinson’s Disease: Long-term Effects on Motor Symptoms and Quality of Life

Alpha and high beta subthalamic intermittent activity correlates with freezing of gait severity in Parkinson’s disease

Subthalamic Local Field Potential Monitoring in Parkinson's Disease during Epidural Electric Spinal Cord Stimulation

ELECTRICAL STIMULATION OF THE SUBTHALAMIC NUCLEUS VERSUS FOREL'S FIELD IN PATIENTS WITH PARKINSON'S DISEASE. EFFECTS ON MOTOR SYMPTOMS AND QUALITY OF LIFE

Tuning the brakes – Modulatory role of transcranial random noise stimulation on inhibition

Sonification of electronic dynamical systems: Spectral characteristics and sound evaluation using EEG features

N°226 – Alpha and high beta burst amplitude from subthalamic nucleus contribute to freezing of gait manifestation in Parkinsons’s disease

Lesion severity and critical eloquent brain areas for ischemic stroke outcome prediction

EASY score (Eloquent, Age and baseline SYmptoms score) for outcome prediction in patients with acute ischemic stroke

Fields of Forel Brain Stimulation Improves Levodopa-Unresponsive Gait and Balance Disorders in Parkinson's Disease

Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response

Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG

Spectral characteristics of subthalamic nucleus local field potentials in Parkinson's disease: Phenotype and movement matter

Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study

Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation

On the (in)efficacy of motor imagery training without feedback and event-related desynchronizations considerations

Channel capacity in brain-computer interfaces

Collaborators (6)

Flavia Ravelli

Olaf Doessel

Lucia Katharina Feldmann

Alekhya Mandali

Hayriye Cagnan

Fernando Moura

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