Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Susan, Aliakbaryhosseinabadi"'
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
An associative brain-computer-interface (BCI) that correlates in time a peripherally generated afferent volley with the peak negativity (PN) of the movement related cortical potential (MRCP) induces plastic changes in the human motor cortex. However,
Externí odkaz:
https://doaj.org/article/f97bef1b231c410fbb8e97bdb6c006c3
Autor:
Dario Farina, Strahinja Dosen, Natalie Mrachacz-Kersting, Susan Aliakbaryhosseinabadi, Jakob Udby Blicher, Andrej M. Savić
Publikováno v:
Savić, A M, Aliakbaryhosseinabadi, S, Blicher, J U, Farina, D, Mrachacz-Kersting, N & Došen, S 2021, ' Online control of an assistive active glove by slow cortical signals in patients with amyotrophic lateral sclerosis ', Journal of Neural Engineering, vol. 18, no. 4, 046085 . https://doi.org/10.1088/1741-2552/ac0488
Savic, A, Aliakbaryhosseinabadi, S, Blicher, J, Farina, D, Mrachacz-Kersting, N & Dosen, S 2021, ' Online control of an assistive active glove by slow cortical signals in patients with amyotrophic lateral sclerosis ', Journal of Neural Engineering, vol. 18, no. 4, 046085 . https://doi.org/10.1088/1741-2552/ac0488
Savic, A, Aliakbaryhosseinabadi, S, Blicher, J, Farina, D, Mrachacz-Kersting, N & Dosen, S 2021, ' Online control of an assistive active glove by slow cortical signals in patients with amyotrophic lateral sclerosis ', Journal of Neural Engineering, vol. 18, no. 4, 046085 . https://doi.org/10.1088/1741-2552/ac0488
OBJECTIVE: A brain computer interface (BCI) allows users to control external devices using brain signals that can be recorded non-invasively via electroencephalography (EEG). Movement related cortical potentials (MRCPs) are an attractive option for B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cba797dbb67e87da37cb77304377ae01
https://pure.au.dk/portal/da/publications/online-control-of-an-assistive-active-glove-by-slow-cortical-signals-in-patients-with-amyotrophic-lateral-sclerosis(f84aaad1-a496-4be6-ab7d-914c3cae04fc).html
https://pure.au.dk/portal/da/publications/online-control-of-an-assistive-active-glove-by-slow-cortical-signals-in-patients-with-amyotrophic-lateral-sclerosis(f84aaad1-a496-4be6-ab7d-914c3cae04fc).html
Autor:
null Susan Aliakbaryhosseinabadi, null Strahinja Dosen, null Andrej Savic, null Jakob Blicher, null Dario Farina, null Natalie Mrachacz-Kersting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c58ab86e6b6350d0963b67bc8d71d07
https://doi.org/10.1088/1741-2552/ac15e3/v2/response1
https://doi.org/10.1088/1741-2552/ac15e3/v2/response1
Publikováno v:
Aliakbaryhosseinabadi, S, Dosen, S, Blicher, J & Mrachacz-Kersting, N 2021, Selection of temporal features for the detection of movement intention in patients with amyotrophic lateral sclerosis . in 2021 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021 ., 9441455, IEEE, International IEEE/EMBS Conference on Neural Engineering, NER, pp. 694-697, 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021, Virtual, Online, Italy, 04/05/2021 . https://doi.org/10.1109/NER49283.2021.9441455
Aliakbaryhosseinabadi, S, Dosen, S, Blicher, J & Mrachacz-Kersting, N 2021, Selection of temporal features for the detection of movement intention in patients with amyotrophic lateral sclerosis . in 2021 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021 . IEEE, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2021-May, pp. 694-697, 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021, Virtual, Online, Italy, 04/05/2021 . https://doi.org/10.1109/NER49283.2021.9441455
NER
Aliakbaryhosseinabadi, S, Dosen, S, Blicher, J & Mrachacz-Kersting, N 2021, Selection of temporal features for the detection of movement intention in patients with amyotrophic lateral sclerosis . in 2021 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021 . IEEE, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2021-May, pp. 694-697, 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021, Virtual, Online, Italy, 04/05/2021 . https://doi.org/10.1109/NER49283.2021.9441455
NER
Detection of movement intention is a critical step for the development of rehabilitation systems and the induction of plasticity using brain-computer interfacing. The movement-related cortical potential (MRCP), obtained from electroencephalography (E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::609b6c32e5331e6e3c697593e0afc5fe
https://vbn.aau.dk/da/publications/dcfd1239-4a48-4597-b2f7-919027547c8f
https://vbn.aau.dk/da/publications/dcfd1239-4a48-4597-b2f7-919027547c8f
Publikováno v:
Hosseinabadi, S A, Lontis, R, Farina, D & Mrachacz-Kersting, N 2021, ' Effect of motor learning with different complexities on EEG spectral distribution and performance improvement ', Biomedical Signal Processing and Control, vol. 66, 102447 . https://doi.org/10.1016/j.bspc.2021.102447
Motor learning can improve movement performance and behavioral measurements, such as reaction time, by inducing brain plasticity. In this study, we investigated the effect of training with different task complexity on Electroencephalographic (EEG) si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa6888387bb015720e934fd33919ef6e
https://vbn.aau.dk/da/publications/eaac5601-c1eb-4682-ba15-fd58f4327aa5
https://vbn.aau.dk/da/publications/eaac5601-c1eb-4682-ba15-fd58f4327aa5
Autor:
Helle Rovsing Møller Jørgensen, Kåre Eg Severinsen, Ning Jiang, Natalie Mrachacz-Kersting, Dario Farina, Susan Aliakbaryhosseinabadi, Andrew James Thomas Stevenson
Publikováno v:
Annals of Neurology. 85:84-95
OBJECTIVE Adjuvant protocols devised to enhance motor recovery in subacute stroke patients have failed to show benefits with respect to classic therapeutic interventions. Here, we evaluate the efficacy of a novel brain state-dependent intervention ba
Autor:
Jakob Udby Blicher, Dario Farina, Andrej M. Savić, Natalie Mrachacz-Kersting, Susan Aliakbaryhosseinabadi, Strahinja Dosen
Publikováno v:
Aliakbaryhosseinabadi, S, Dosen, S, Savic, A, Blicher, J, Farina, D & Mrachacz-Kersting, N 2021, ' Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with Amyotrophic Lateral Sclerosis ', Journal of Neural Engineering, vol. 18, no. 5, 056023 . https://doi.org/10.1088/1741-2552/ac15e3
Aliakbaryhosseinabadi, S, Dosen, S, Savic, A M, Blicher, J, Farina, D & Mrachacz-Kersting, N 2021, ' Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with amyotrophic lateral sclerosis ', Journal of Neural Engineering, vol. 18, no. 5 . https://doi.org/10.1088/1741-2552/ac15e3
Aliakbaryhosseinabadi, S, Dosen, S, Savic, A M, Blicher, J, Farina, D & Mrachacz-Kersting, N 2021, ' Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with amyotrophic lateral sclerosis ', Journal of Neural Engineering, vol. 18, no. 5 . https://doi.org/10.1088/1741-2552/ac15e3
OBJECTIVE: Brain-computer interface (BCI) systems can be employed to provide motor and communication assistance to patients suffering from neuromuscular diseases, such as Amyotrophic Lateral sclerosis (ALS). Movement related cortical potentials (MRCP
Publikováno v:
EMBC
Aliakbaryhosseinabadi, S & Mrachacz-Kersting, N 2020, Adaptive Brain-Computer Interface with Attention Alterations in Patients with Amyotrophic Lateral Sclerosis . in 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society : Enabling Innovative Technologies for Global Healthcare, EMBC 2020 ., 9175997, IEEE, I E E E Engineering in Medicine and Biology Society. Conference Proceedings, pp. 3188-3191, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada, 20/07/2020 . https://doi.org/10.1109/EMBC44109.2020.9175997
Aliakbaryhosseinabadi, S & Mrachacz-Kersting, N 2020, Adaptive Brain-Computer Interface with Attention Alterations in Patients with Amyotrophic Lateral Sclerosis . in 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society : Enabling Innovative Technologies for Global Healthcare, EMBC 2020 ., 9175997, IEEE, I E E E Engineering in Medicine and Biology Society. Conference Proceedings, pp. 3188-3191, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada, 20/07/2020 . https://doi.org/10.1109/EMBC44109.2020.9175997
The users' mental state such as attention variations can have an effect on the brain-computer interface (BCI) performance. In this project, we implemented an adaptive online BCI system with alterations in the users' attention. Twelve electroencephalo
Publikováno v:
Hosseinabadi, S A, Farina, D & Mrachacz-Kersting, N 2020, ' Real-time neurofeedback is effective in reducing diversion of attention from a motor task in healthy individuals and patients with amyotrophic lateral sclerosis ', Journal of Neural Engineering, vol. 17, no. 3, 036017 . https://doi.org/10.1088/1741-2552/ab909c
Objective. The performance of brain-computer interface (BCI) systems is influenced by the user's mental state, such as attention diversion. In this study, we propose a novel online BCI system able to adapt with variations in the users' attention duri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48128b8d549466f6465519ede2bf8ecb
https://vbn.aau.dk/da/publications/f714896e-c876-4e4f-a218-6fec15e2aefe
https://vbn.aau.dk/da/publications/f714896e-c876-4e4f-a218-6fec15e2aefe
Publikováno v:
EMBC
Shakibfar, S, Yazdchi, M & Hosseinabadi, S A 2019, Predicting Electrical Storm Using Episodes’ Parameters from ICD Recorded Data . in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ., 8857720, IEEE, I E E E Engineering in Medicine and Biology Society. Conference Proceedings, pp. 4885-4888, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Berlin, Berlin, Germany, 23/07/2019 . https://doi.org/10.1109/EMBC.2019.8857720
Shakibfar, S, Yazdchi, M & Hosseinabadi, S A 2019, Predicting Electrical Storm Using Episodes’ Parameters from ICD Recorded Data . in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ., 8857720, IEEE, I E E E Engineering in Medicine and Biology Society. Conference Proceedings, pp. 4885-4888, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Berlin, Berlin, Germany, 23/07/2019 . https://doi.org/10.1109/EMBC.2019.8857720
Electrical storm (ES) is a life-threatening heart condition for patients with implantable cardioverter defibrillators (ICDs). ICD patients experienced episodes are at higher risk for ES. However, predicting ES using previous episodes' parameters reco