Lucia Rita Quitadamo

Ms, Dr.

20162018
If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Lucia Rita Quitadamo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Electroencephalography Engineering & Materials Science
Support vector machines Engineering & Materials Science
Electromyography Engineering & Materials Science
Brain computer interface Engineering & Materials Science
Human computer interaction Engineering & Materials Science
Evoked Potentials Medicine & Life Sciences
Surgery Engineering & Materials Science
surgery Social Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2016 2018

  • 5 Article
  • 1 Conference contribution

Analog-Like Control is Possible in SSVEP Based Brain-Computer Interfaces

Bianchi, L., Ferrante, R. & Quitadamo, L. R., 13 Dec 2018, 2018 IEEE Life Sciences Conference (LSC). IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain computer interface
Flickering
Light emitting diodes

EPINETLAB: a software for seizure-onset zone identification from intracranial EEG signal in epilepsy

Quitadamo, L. R., Foley, E., Mai, R., De Palma, L., Specchio, N. & Seri, S., 11 Jul 2018, In : Frontiers in Neuroinformatics. 12, 45.

Research output: Contribution to journalArticle

Open Access
File
Electroencephalography
Epilepsy
Seizures
Software
Biomarkers

Kurtosis-based detection of intracranial high-frequency oscillations for the identification of the seizure onset zone

Quitadamo, L. R., Mai, R., Gozzo, F., Pelliccia, V., Cardinale, F. & Seri, S., 26 Mar 2018, In : International Journal of Neural Systems. 28, 7, 18 p., 1850001.

Research output: Contribution to journalArticle

Open Access
File
Electroencephalography
Biomarkers
Frequency bands
Time series
Brain

Sensory-Glove-Based Open Surgery Skill Evaluation

Sbernini, L., Quitadamo, L. R., Riillo, F., Lorenzo, N. D., Gaspari, A. L. & Saggio, G., 23 Jan 2018, In : IEEE Transactions on Human-Machine Systems. p. 1-6

Research output: Contribution to journalArticle

Open Access
File
Surgery
surgery
Neural networks
neural network
Discriminant analysis

Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a review

Quitadamo, L. R., Cavrini, F., Sbernini, L., Riillo, F., Bianchi, L., Seri, S. & Saggio, G., 9 Jan 2017, In : Journal of Neural Engineering. 14, 1, 28 p., 011001.

Research output: Contribution to journalArticle

Open Access
File
Electromyography
Human computer interaction
Electroencephalography
Support vector machines
Classifiers