Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Majd Abazid"'
Publikováno v:
Bioengineering, Vol 9, Iss 2, p 62 (2022)
This study addresses brain network analysis over different clinical severity stages of cognitive dysfunction using electroencephalography (EEG). We exploit EEG data of subjective cognitive impairment (SCI) patients, mild cognitive impairment (MCI) pa
Externí odkaz:
https://doaj.org/article/7d6490b4486f49c390567fc527387d0f
Publikováno v:
Entropy, Vol 23, Iss 11, p 1553 (2021)
This work addresses brain network analysis considering different clinical severity stages of cognitive dysfunction, based on resting-state electroencephalography (EEG). We use a cohort acquired in real-life clinical conditions, which contains EEG dat
Externí odkaz:
https://doaj.org/article/2450386c292a42efb9d927022d59909c
Publikováno v:
Sensors, Vol 20, Iss 3, p 933 (2020)
We aim at enhancing personal identity security on mobile touch-screen sensors by augmenting handwritten signatures with specific additional information at the enrollment phase. Our former works on several available and private data sets acquired on d
Externí odkaz:
https://doaj.org/article/ecbc15ac2de444e9bf70972851ff4e4c
Publikováno v:
Entropy, Vol 21, Iss 10, p 956 (2019)
We aimed to explore the online signature modality for characterizing early-stage Alzheimer’s disease (AD). A few studies have explored this modality, whereas many on online handwriting have been published. We focused on the analysis of raw temporal
Externí odkaz:
https://doaj.org/article/28265f0e738c430aa1e891377aa3e370
N°339 – A multi-scale brain connectivity analysis of electroencephalography signals for AD detection
Autor:
Nesma Houmani, Majd Abazid, Jerome Boudy, Bernadette Dorizzi, Jean Mariani, Kiyoka Kinugawa Bourron
Publikováno v:
Clinical Neurophysiology. 150:e178
Publikováno v:
Proceedings of Entropy 2021: The Scientific Tool of the 21st Century.
The utility of electroencephalography (EEG) in Alzheimer’s disease (AD) research has been demonstrated over several decades in numerous studies. EEG markers have been employed successfully to investigate AD-related alterations, by comparing EEG rec
Publikováno v:
Entropy
Entropy, MDPI, 2019, 21 (10), pp.956-1-956-12. ⟨10.3390/e21100956⟩
Volume 21
Issue 10
Entropy, Vol 21, Iss 10, p 956 (2019)
Entropy, MDPI, 2019, 21 (10), pp.956-1-956-12. ⟨10.3390/e21100956⟩
Volume 21
Issue 10
Entropy, Vol 21, Iss 10, p 956 (2019)
We aimed to explore the online signature modality for characterizing early-stage Alzheimer&rsquo
s disease (AD). A few studies have explored this modality, whereas many on online handwriting have been published. We focused on the analysis of raw
s disease (AD). A few studies have explored this modality, whereas many on online handwriting have been published. We focused on the analysis of raw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fdb495eefc47cc91d73dcb530e69b31
https://hal.archives-ouvertes.fr/hal-02380209
https://hal.archives-ouvertes.fr/hal-02380209
Publikováno v:
IH&MMSec 2019 : ACM Workshop on Information Hiding and Multimedia Security
IH&MMSec 2019 : ACM Workshop on Information Hiding and Multimedia Security, Jul 2019, Paris, France. pp.89-94, ⟨10.1145/3335203.3335720⟩
IH&MMSec
IH&MMSec 2019 : ACM Workshop on Information Hiding and Multimedia Security, Jul 2019, Paris, France. pp.89-94, ⟨10.1145/3335203.3335720⟩
IH&MMSec
International audience; In this paper, we study the impact of uncontrolled mobile conditions on signatures, when signing on two touch-screen devices of different size. 74 persons captured their signatures on both an iPad and an iPhone with different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79504084d0db4330c06489231e2960ee
https://hal.archives-ouvertes.fr/hal-02190140
https://hal.archives-ouvertes.fr/hal-02190140