What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Artificial intelligence
- Neuroscience
Donatella Mattia mostly deals with Electroencephalography, Brain–computer interface, Neuroscience, Human–computer interaction and Artificial intelligence.
Her research on Electroencephalography focuses in particular on Brain activity and meditation.
Donatella Mattia interconnects Neuroplasticity, Motor recovery and Physical medicine and rehabilitation in the investigation of issues within Brain–computer interface.
Her Neuroscience study frequently links to related topics such as GABAA receptor.
Her work carried out in the field of Human–computer interaction brings together such families of science as Field, Software, The Internet and State.
Coherence, Multivariate statistics, Autoregressive model and Image resolution is closely connected to Pattern recognition in her research, which is encompassed under the umbrella topic of Artificial intelligence.
Her most cited work include:
- Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (614 citations)
- Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. (537 citations)
- Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function. (339 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Electroencephalography, Brain–computer interface, Artificial intelligence, Neuroscience and Neurophysiology.
The concepts of her Electroencephalography study are interwoven with issues in Cognition, Brain mapping and Audiology.
Her Brain–computer interface study combines topics from a wide range of disciplines, such as Speech recognition, Physical medicine and rehabilitation and Human–computer interaction.
Donatella Mattia has included themes like Software and Simulation in her Human–computer interaction study.
Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Autoregressive model, Machine learning, Computer vision and Pattern recognition.
Her Pattern recognition research incorporates elements of Estimator and Coherence.
She most often published in these fields:
- Electroencephalography (40.95%)
- Brain–computer interface (28.13%)
- Artificial intelligence (21.17%)
What were the highlights of her more recent work (between 2014-2020)?
- Brain–computer interface (28.13%)
- Electroencephalography (40.95%)
- Physical medicine and rehabilitation (9.19%)
In recent papers she was focusing on the following fields of study:
Donatella Mattia mainly focuses on Brain–computer interface, Electroencephalography, Physical medicine and rehabilitation, Artificial intelligence and Rehabilitation.
Her Brain–computer interface research includes elements of Speech recognition and User-centered design, Usability, Human–computer interaction.
Neuroscience covers Donatella Mattia research in Electroencephalography.
Her work deals with themes such as Stroke, Neurorehabilitation, Neurofeedback, Physical therapy and Motor imagery, which intersect with Physical medicine and rehabilitation.
The study incorporates disciplines such as Machine learning, Coherence and Pattern recognition in addition to Artificial intelligence.
Her study in Rehabilitation is interdisciplinary in nature, drawing from both Ankle, Biofeedback, Selection and Spasticity.
Between 2014 and 2020, her most popular works were:
- Brain–computer interface boosts motor imagery practice during stroke recovery (260 citations)
- BNCI Horizon 2020: Towards a Roadmap for the BCI Community (123 citations)
- Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond (100 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Artificial intelligence
- Neuroscience
Her primary scientific interests are in Brain–computer interface, Electroencephalography, Physical medicine and rehabilitation, Cognition and Interface.
Donatella Mattia has researched Brain–computer interface in several fields, including State and Human–computer interaction.
The study incorporates disciplines such as Neurophysiology, Stroke, Cerebellar stroke, Neural correlates of consciousness and Topology in addition to Electroencephalography.
Her studies in Physical medicine and rehabilitation integrate themes in fields like Rehabilitation, Physical therapy and User-centered design.
Her Physical therapy study incorporates themes from Workload, Motor imagery and Usability.
In her study, which falls under the umbrella issue of Cognition, Event-related potential, Audiology and Oddball paradigm is strongly linked to Minimally conscious state.
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