Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Toshimitsu Musha"'
Publikováno v:
International Journal of Alzheimer's Disease, Vol 2011 (2011)
Objective. EEG has great potential as a cost-effective screening tool for Alzheimer's disease (AD). However, the specificity of EEG is not yet sufficient to be used in clinical practice. In an earlier study, we presented preliminary results suggestin
Externí odkaz:
https://doaj.org/article/1cee8f8209ba4b3b9c3bd9b78f8acf0f
Autor:
Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Toshimitsu Musha, François-Benoît Vialatte, Charles Latchoumane, Jaeseung Jeong, Andrzej Cichocki
Publikováno v:
International Journal of Alzheimer's Disease, Vol 2011 (2011)
Medical studies have shown that EEG of Alzheimer's disease (AD) patients is “slower” (i.e., contains more low-frequency power) and is less complex compared to age-matched healthy subjects. The relation between those two phenomena has not yet been
Externí odkaz:
https://doaj.org/article/3122d0640f944b2e8d558d205e4f0890
Publikováno v:
Electronics and Communications in Japan. 99:107-114
Patients with mild cognitive impairment MCI and healthy people were classified by using power variance function PVF of electroencephalography EEG recorded on only four electrodes in this study. PVF is an index of power variability of EEG proposed in
Publikováno v:
Psychogeriatrics. 13:63-70
Objectives To examine whether the diagnosis method of neuronal dysfunction (DIMENSION), a new electroencephalogram (EEG) analysis method, reflected pathological changes in the early stages of Alzheimer's disease (AD), we conducted a comparative study
Publikováno v:
Dementia with Lewy Bodies ISBN: 9784431559467
The authors have developed a technology called neuronal activity topography (NAT), using which a pair of markers is obtained by spectral analysis of the electroencephalogram (EEG) of a subject, when he or she is in an awake, resting state with eyes c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::757a429b0db8fb80d91ec5dde153a69a
https://doi.org/10.1007/978-4-431-55948-1_14
https://doi.org/10.1007/978-4-431-55948-1_14
Autor:
Takahiro Shinozaki, Yasuo Horiuchi, Shingo Kuroiwa, Sadaoki Furui, Toshimitsu Musha, Fuming Fang
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2016 (2016)
Computational Intelligence and Neuroscience, Vol 2016 (2016)
Eye motion-based human-machine interfaces are used to provide a means of communication for those who can move nothing but their eyes because of injury or disease. To detect eye motions, electrooculography (EOG) is used. For efficient communication, t
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 130:1827-1832
In this paper, we proposed a new method for diagnosing Alzheimer's disease (AD) on the basis of electroencephalograms (EEG). The method, which is termed Power Variance Function (PVF) method, indicates the variance of the power at each frequency. By u
Publikováno v:
IEEE Engineering in Medicine and Biology Magazine. 27:53-60
We used the seal robot, Paro, for therapy of patients suffering from dementia at a cortical neuron clinic. The efficacy of the robot therapy was evaluated by DIMENSION, which detects patient's cortical neuron activity from a 21-channel EEG. The resul
Publikováno v:
Physiological Measurement. 28:335-347
Alzheimer's disease (AD) is a degenerative disease which causes serious cognitive decline. Studies suggest that effective treatments for AD may be aided by the detection of the disease in its early stages, prior to extensive neuronal degeneration. In
Fluctuations analysis of EEG signals allows detection of AD (Alzheimer's Disease) in the early stage
Autor:
Toshimitsu Musha
Publikováno v:
2015 International Conference on Noise and Fluctuations (ICNF).
Spontaneous electric potentials on the scalp (EEG: Electroencephalogram) are generated by cerebral neuronal activities. The EEG signals are therefore rich with information about cerebral activities. As long as the living body is alive, the biological