Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Farid Shiman"'
Autor:
Paulo Rogério de Almeida Ribeiro, Fabricio Lima Brasil, Matthias Witkowski, Farid Shiman, Christian Cipriani, Nicola Vitiello, Maria Chiara Carrozza, Surjo Raphael Soekadar
Publikováno v:
Advances in Human-Computer Interaction, Vol 2013 (2013)
The extent to which humans can interact with machines significantly enhanced through inclusion of speech, gestures, and eye movements. However, these communication channels depend on a functional motor system. As many people suffer from severe damage
Externí odkaz:
https://doaj.org/article/eb06450274324ddfa1039c461b4b299f
Autor:
Andrea Sarasola-Sanz, Nerea Irastorza-Landa, Eduardo López-Larraz, Farid Shiman, Martin Spüler, Niels Birbaumer, Ander Ramos-Murguialday
Publikováno v:
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Fundación Tecnalia Research & Innovation
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
The motor impairment occurring after a stroke is characterized by pathological muscle activation patterns or synergies. However, while robot-aided myoelectric interfaces have been proposed for stroke rehabilitation, they do not address this issue, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::2d7123e90e491143496c97c6acac9177
http://hdl.handle.net/11556/660
http://hdl.handle.net/11556/660
Autor:
Farid Shiman, A. Belloso, Julius Klein, F. O. Morin, Niels Birbaumer, Nerea Irastorza-Landa, Andrea Sarasola-Sanz, Ander Ramos-Murguialday, D. Valencia, Eduardo López-Larraz
Publikováno v:
Biosystems & Biorobotics ISBN: 9783319466682
Myoelectric control constitutes a promising interface for robot-aided motor rehabilitation therapies. The development of accurate classifiers and suitable training protocols for this purpose are still challenging. In this study, eight healthy partici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068190dbdfb8ce06295ae57e780127b7
https://doi.org/10.1007/978-3-319-46669-9_29
https://doi.org/10.1007/978-3-319-46669-9_29
Autor:
Niels Birbaumer, Farid Shiman, Martin Spüler, Ander Ramos-Murguialday, Nerea Irastorza-Landa, Andrea Sarasola-Sanz
Publikováno v:
EMBC
In recent years, there has been an increasing interest in using electroencephalographic (EEG) activity to close the loop between brain oscillations and movement to induce functional motor rehabilitation. Rehabilitation robots or exoskeletons have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90b31ed6fe8a9105cbcbad8cd5da55a1
https://pubmed.ncbi.nlm.nih.gov/26736659
https://pubmed.ncbi.nlm.nih.gov/26736659
Autor:
Farid Shiman, Andrea Sarasola-Sanz, Martin Spüler, Niels Birbaumer, Nerea Irastorza-Landa, Eduardo López-Larraz, Ander Ramos-Murguialday
Publikováno v:
2015 IEEE International Conference on Rehabilitation Robotics (ICORR).
In recent years, a significant effort has been invested in the development of kinematics-decoding models from electromyographic (EMG) signals to achieve more natural control interfaces for rehabilitation therapies. However, the development of a dexte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::790f7f6c1f3338301c910d9b615b3096
https://doi.org/10.1109/icorr.2015.7281204
https://doi.org/10.1109/icorr.2015.7281204
Autor:
Andrea Sarasola-Sanz, Farid Shiman, Nerea Irastorza-Landa, Martin Spüler, Niels Birbaumer, Eduardo López-Larraz, Ander Ramos-Murguialday
Publikováno v:
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Fundación Tecnalia Research & Innovation
Objective. Brain–computer-interfaces (BCIs) have been proposed not only as assistive technologies but also as rehabilitation tools for lost functions. However, due to the stochastic nature, poor spatial resolution and signal to noise ratio from ele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7618db8a78c8614c1d7c7cdcff2a95b
https://doi.org/10.1088/1741-2552/aa70d2
https://doi.org/10.1088/1741-2552/aa70d2
Publikováno v:
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences
The present study investigates the efficiency of electro acupuncture (EA) as an adjunct therapy to methadone maintenance treatment (MMT) in heroin dependents. Time-frequency analysis, based on Morlet wavelet transform together with 2D spectral power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::057f48a402dc5aef63beb9d828e993da
https://doi.org/10.1109/iecbes.2012.6498203
https://doi.org/10.1109/iecbes.2012.6498203
Autor:
Fatimah Ibrahim, Fatemeh Molaei Vaneghi, Maysam Oladazimi, M. J. Safari, Farid Shiman, Afshan Kordi
Publikováno v:
2012 Third International Conference on Intelligent Systems Modelling and Simulation
This paper discusses six most frequent methods used to extract different features in Electrocardiograph (ECG) signals namely Autoregressive (AR), Wavelet Transform (WT), Eigenvector, Fast Fourier Transform (FFT), Linear Prediction (LP), and Independe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c599c1b6c71d464ffb708e9f6176e0b9
https://doi.org/10.1109/isms.2012.35
https://doi.org/10.1109/isms.2012.35
Autor:
S. H. Safavi, M. J. Safari, Fatimah Ibrahim, Fatemeh Molaei Vaneghi, Farid Shiman, Maysam Oladazimi
Publikováno v:
BHI
2012 IEEE-EMBS International Conference on Biomedical and Health Informatics
2012 IEEE-EMBS International Conference on Biomedical and Health Informatics
We have conducted extensive review on parametric and nonparametric methods for EEG feature extraction and application. We believe that this is the first attempt to compare all methods. Our findings indicate that parametric method does not provide goo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58c274f6e66806efbaf9b46d1ff5f6b3
https://doi.org/10.1109/bhi.2012.6211507
https://doi.org/10.1109/bhi.2012.6211507
Publikováno v:
4th International Conference on Computer and Automation Engineering (ICCAE 2012)
For investigation of the brain signal, using the appropriate method for feature extraction is essential. During these years different methods have been offered for processing the EEG signals such as frequency domain, time domain and time-frequency do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43f8b1fe469c59c47f3dc93ef49686d6
https://hdl.handle.net/21.11116/0000-0001-8F65-D
https://hdl.handle.net/21.11116/0000-0001-8F65-D