Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Aida Khorshidtalab"'
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 3, Pp 1-8 (2015)
In this paper, we present a new motor imagery classification method in the context of electroencephalography (EEG)-based brain-computer interface (BCI). This method uses a signal-dependent orthogonal transform, referred to as linear prediction singul
Externí odkaz:
https://doaj.org/article/cabdde3eabc044758d23fff313a9c5fe
Publikováno v:
International Journal of Robotics and Mechatronics. 2:21-28
Feeding difficulties and malnutrition are common phenomena in amyotrophic lateral sclerosis patients, locked in patients and people with upper limb disability. Feeding is often time consuming, unpleasant, and may result in choking or asphyxiation. No
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8379980b0e79f428d929dc460bba09d5
https://doi.org/10.21535/ijrm.v2i1.869
https://doi.org/10.21535/ijrm.v2i1.869
Publikováno v:
IEEE Signal Processing Letters. 21:1293-1297
In this letter, we propose a parametric modeling technique for the electrocardiogram (ECG) signal based on signal dependent orthogonal transform. The technique involves the mapping of the ECG heartbeats into the singular values (SV) domain using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99eca92e2c2717c13df9f928dff6dcf
https://doi.org/10.1109/lsp.2014.2332425
https://doi.org/10.1109/lsp.2014.2332425
Publikováno v:
Physiological Measurement. 34:1563-1579
The tradeoff between computational complexity and speed, in addition to growing demands for real-time BMI (brain-machine interface) systems, expose the necessity of applying methods with least possible complexity. Willison amplitude (WAMP) and slope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8fac18bcf7c92b2d819a3414612aeee
https://doi.org/10.1088/0967-3334/34/11/1563
https://doi.org/10.1088/0967-3334/34/11/1563
Publikováno v:
ICCIP
This paper proposes a data-driven method for constructing materials to be used in a probabilistic knowledge base for human activity recognition. The utilized dataset, challenge subset of Opportunity, is a publicly available dataset. It consists of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4b713d805087e3a35df3c8a6860a79a
https://doi.org/10.1145/3018009.3018011
https://doi.org/10.1145/3018009.3018011
Publikováno v:
IECON
Human hand functions range from precise-minute handling to heavy and robust movements. Developing an artificial thumb which can mimic the actions of a real thumb precisely is a major achievement. Despite many efforts dedicated to this area of researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c07b5ec37ec4f7b83297f79c490d838c
https://doi.org/10.1109/iecon.2015.7392128
https://doi.org/10.1109/iecon.2015.7392128
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine
IEEE Journal of Translational Engineering in Health and Medicine, Vol 3, Pp 1-8 (2015)
IEEE Journal of Translational Engineering in Health and Medicine, Vol 3, Pp 1-8 (2015)
In this paper, we present a new motor imagery classification method in the context of electroencephalography (EEG)-based brain–computer interface (BCI). This method uses a signal-dependent orthogonal transform, referred to as linear prediction sing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01cc4f75323ef3ef9736cfe3ca8de7bb
https://pubmed.ncbi.nlm.nih.gov/27170898
https://pubmed.ncbi.nlm.nih.gov/27170898
Publikováno v:
Neural Information Processing ISBN: 9783319265346
ICONIP (2)
ICONIP (2)
© Springer International Publishing Switzerland 2015. In this paper, we present the results of classifying electroencephalographic (EEG) signals into four motor imagery tasks using a new method for feature extraction. This method is based on a signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb7d40c0b46060679be3d5fb9a76b9ad
https://doi.org/10.1007/978-3-319-26535-3_1
https://doi.org/10.1007/978-3-319-26535-3_1
Publikováno v:
2014 International Conference on Computer and Communication Engineering.
Early diagnosis of Diabetic Retinopathy (DR) has been suggested as a good measure of preventing blindness associated with Diabetes. Some of the reported methodologies of Retinal Images (RI) classification for early diagnosis of DR have been shown to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0123744c0d281581c4761577042b85ac
https://doi.org/10.1109/iccce.2014.37
https://doi.org/10.1109/iccce.2014.37
Publikováno v:
2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation.
Mimicking human arm motion has become a challenging topic for the researchers among the field of Human rehabilitation, motor control and perception, biomechanics, and several other related research topics. Considering human-robot cooperation, this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1c256c3a41faa04c5ad99ce5287dd29
https://doi.org/10.1109/cimsim.2013.19
https://doi.org/10.1109/cimsim.2013.19