Emma Colamarino
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View article: User-centered development of a personalized adaptive mirror therapy for upper-limb post-stroke rehabilitation using virtual reality and myoelectric control
User-centered development of a personalized adaptive mirror therapy for upper-limb post-stroke rehabilitation using virtual reality and myoelectric control Open
Introduction Cerebral stroke often results in significant motor deficits, including contralateral hemiparesis of the upper limb. Rehabilitation protocols with high-intensity and task-specific exercises can improve these deficits. Recent te…
View article: Effective muscle synergies extraction pipeline to characterise the Box and Block Test movement
Effective muscle synergies extraction pipeline to characterise the Box and Block Test movement Open
View article: SPectral graph theory And Random walK (SPARK) toolbox for static and dynamic characterization of (di)graphs: A tutorial
SPectral graph theory And Random walK (SPARK) toolbox for static and dynamic characterization of (di)graphs: A tutorial Open
Spectral graph theory and its applications constitute an important forward step in modern network theory. Its increasing consensus over the last decades fostered the development of innovative tools, allowing network theory to model a varie…
View article: Brain and muscle derived features to discriminate simple hand motor tasks for a rehabilitative BCI: comparative study on healthy and post-stroke individuals
Brain and muscle derived features to discriminate simple hand motor tasks for a rehabilitative BCI: comparative study on healthy and post-stroke individuals Open
Objective. Brain–Computer Interfaces targeting post-stroke recovery of the upper limb employ mainly electroencephalography to decode movement-related brain activation. Recently hybrid systems including muscular activity were introduced. We…
View article: A Scoping Review of Technology-Based Approaches for Upper Limb Motor Rehabilitation after Stroke: Are We Really Targeting Severe Impairment?
A Scoping Review of Technology-Based Approaches for Upper Limb Motor Rehabilitation after Stroke: Are We Really Targeting Severe Impairment? Open
Technology-based approaches for upper limb (UL) motor rehabilitation after stroke are mostly designed for severely affected patients to increase their recovery chances. However, the available randomized controlled trials (RCTs) focused on …
View article: EEG-Derived Markers to Improve Prognostic Evaluation of Disorders of Consciousness
EEG-Derived Markers to Improve Prognostic Evaluation of Disorders of Consciousness Open
Disorders of consciousness (DoC) are characterized by alteration in arousal and/or awareness commonly caused by severe brain injury. There exists a consensus on adopting advanced neuroimaging and electrophysiological procedures to improve …
View article: A Scoping Review on Technology-Based Approaches for Upper Limb Motor Rehabilitation after Stroke. Are We Really Targeting Severe Impairment?
A Scoping Review on Technology-Based Approaches for Upper Limb Motor Rehabilitation after Stroke. Are We Really Targeting Severe Impairment? Open
Technology-based approaches for upper limb (UL) motor rehabilitation after stroke are designed mostly for severely affected patients to increase their recovery chances. However, the available randomised controlled trials (RCTs) focused on …
View article: DiSCIoser: unlocking recovery potential of arm sensorimotor functions after spinal cord injury by promoting activity-dependent brain plasticity by means of brain-computer interface technology: a randomized controlled trial to test efficacy
DiSCIoser: unlocking recovery potential of arm sensorimotor functions after spinal cord injury by promoting activity-dependent brain plasticity by means of brain-computer interface technology: a randomized controlled trial to test efficacy Open
Background Traumatic cervical spinal cord injury (SCI) results in reduced sensorimotor abilities that strongly impact on the achievement of daily living activities involving hand/arm function. Among several technology-based rehabilitative …
View article: The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial
The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial Open
Background Electroencephalography (EEG)-based brain-computer interfaces (BCIs) allow to modulate the sensorimotor rhythms and are emerging technologies for promoting post-stroke motor function recovery. The Promotoer study aims to assess t…
View article: The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial
The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial Open
Background Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) allow to modulate the sensorimotor rhythms and are potential technologies for promoting post-stroke motor function recovery. The Promotoer study is planned to a…
View article: Parallel Factorization to Implement Group Analysis in Brain Networks Estimation
Parallel Factorization to Implement Group Analysis in Brain Networks Estimation Open
When dealing with complex functional brain networks, group analysis still represents an open issue. In this paper, we investigated the potential of an innovative approach based on PARAllel FActorization (PARAFAC) for the extraction of the …
View article: Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation
Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation Open
View article: Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients
Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients Open
Brain-Computer Interface (BCI) systems for motor rehabilitation after stroke have proven their efficacy to enhance upper limb motor recovery by reinforcing motor related brain activity. Hybrid BCIs (h-BCIs) exploit both central and periphe…
View article: Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features
Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features Open
Stroke survivors experience muscular pattern alterations of the upper limb that decrease their ability to perform daily-living activities. The Box and Block test (BBT) is widely used to assess the unilateral manual dexterity. Although BBT …
View article: Raw data for "Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface": unpublished figures and source data.
Raw data for "Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface": unpublished figures and source data. Open
Figures 1-4: Selected features (EEG-EMG and EMG-EMG couples) for movement vs rest classification (Ext R and L, Gra R and L). Figure 5: Distribution of Gra vs Ext classification among bands. Source data.
View article: Raw data for "Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface": unpublished figures and source data.
Raw data for "Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface": unpublished figures and source data. Open
Figures 1-4: Selected features (EEG-EMG and EMG-EMG couples) for movement vs rest classification (Ext R and L, Gra R and L). Figure 5: Distribution of Gra vs Ext classification among bands. Source data.
View article: Raw data for "Automatic Selection of Control Features for Electroencephalography-Based Brain-Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm": unpublished figure and source data.
Raw data for "Automatic Selection of Control Features for Electroencephalography-Based Brain-Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm": unpublished figure and source data. Open
Classification Performances for each stroke participant according to the GUIDER and the MANUAL procedure.
View article: Raw data for "Automatic Selection of Control Features for Electroencephalography-Based Brain-Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm": unpublished figure and source data.
Raw data for "Automatic Selection of Control Features for Electroencephalography-Based Brain-Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm": unpublished figure and source data. Open
Classification Performances for each stroke participant according to the GUIDER and the MANUAL procedure.
View article: Automatic Selection of Control Features for Electroencephalography-Based Brain–Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm
Automatic Selection of Control Features for Electroencephalography-Based Brain–Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm Open
View article: Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain–Computer Interface
Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain–Computer Interface Open
Hybrid Brain–Computer Interfaces (BCIs) for upper limb rehabilitation after stroke should enable the reinforcement of “more normal” brain and muscular activity. Here, we propose the combination of corticomuscular coherence (CMC) and interm…
View article: Towards a hybrid EEG-EMG feature for the classification of upper limb movements: comparison of different processing pipelines
Towards a hybrid EEG-EMG feature for the classification of upper limb movements: comparison of different processing pipelines Open
The functional connectivity between cortex and muscle during motor tasks can change after stroke. Motor rehabilitation aims at restoring it, either by re-establishing “close-to-normal” connectivity or supporting the development of alternat…
View article: Inter-muscular coherence features to classify upper limb simple tasks
Inter-muscular coherence features to classify upper limb simple tasks Open
The application of Hybrid Brain-Computer Interfaces (BCI) for post-stroke hand motor rehabilitation requires the investigation of new electromyographic (EMG) features, potentially able to identify pathological synergies to be discouraged. …
View article: A user-centred approach to unlock the potential of non-invasive BCIs: an unprecedented international translational effort
A user-centred approach to unlock the potential of non-invasive BCIs: an unprecedented international translational effort Open
Non-invasive Mental Task-based Brain-Computer Interfaces (MT-BCIs) enable their users to interact with the environment through their brain activity alone (measured using electroencephalography for example), by performing mental tasks such …
View article: The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a study protocol for a randomized controlled trial to test early and long-term efficacy and to identify determinants of response
The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a study protocol for a randomized controlled trial to test early and long-term efficacy and to identify determinants of response Open
View article: SWLDA offers a valuable trade-off between interpretability and accuracy for rehabilitative BCIs
SWLDA offers a valuable trade-off between interpretability and accuracy for rehabilitative BCIs Open
Interpretability, accuracy and a solid neurophysiological basis can be considered as the main requirements for the classification model to monitor motor imagery tasks in post-stroke motor recovery paradigms supported by the brain-computer …
View article: Spatial Filters Selection Towards A Rehabilitation Bci
Spatial Filters Selection Towards A Rehabilitation Bci Open
Introducing BCI technology in supporting motor imagery (MI) training has revealed the rehabilitative potential of MI, contributing to significantly better motor functional outcomes in stroke patients. To provide the most accurate and perso…
View article: Guider: A Gui For Semiautomatic, Physiologically Driven Eeg Feature Selection For A Rehabilitation Bci
Guider: A Gui For Semiautomatic, Physiologically Driven Eeg Feature Selection For A Rehabilitation Bci Open
GUIDER is a graphical user interface developed in MATLAB software environment to identify electroencephalography (EEG)-based brain computer interface (BCI) control features for a rehabilitation application (i.e. post-stroke motor imagery t…