Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Meera Alex"'
Publikováno v:
Sensors, Vol 24, Iss 11, p 3260 (2024)
The advancement of flexible electrodes triggered research on wearables and health monitoring applications. Metal-based bioelectrodes encounter low mechanical strength and skin discomfort at the electrode–skin interface. Thus, recent research has fo
Externí odkaz:
https://doaj.org/article/ed9a725e8abe4b7cb1fd854f4c02677d
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2926 (2024)
Over the past few decades, notable advancements have been made in the field of transdermal drug delivery systems (TDDSs), presenting a promising alternative to conventional oral drug administration. This comprehensive review aims to enhance understan
Externí odkaz:
https://doaj.org/article/1bcac93dfa1d48c388136435f92c9864
Publikováno v:
IEEE Access, Vol 8, Pp 191080-191089 (2020)
We present here one of the first studies that attempt to differentiate between genuine and acted emotional expressions, using EEG data. We present the first EEG dataset (available here) with recordings of subjects with genuine and fake emotional expr
Externí odkaz:
https://doaj.org/article/aec686b156724ebf8d131fc34e5f9363
Publikováno v:
IEEE Access, Vol 7, Pp 143550-143562 (2019)
In this paper, we present a method to improve emotion recognition based on the fusion of local cortical activations and dynamic functional network patterns. We estimate the cortical activations using power spectral density (PSD) with the Burg autoreg
Externí odkaz:
https://doaj.org/article/b7e9d0a7b0554fecbbaab061dc436251
Publikováno v:
IEEE Access, Vol 8, Pp 191080-191089 (2020)
We present here one of the first studies that attempt to differentiate between genuine and acted emotional expressions, using EEG data. We present the first EEG dataset (available here) with recordings of subjects with genuine and fake emotional expr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2d04b90388bcd7e9a5a72800b72d4d9
https://doi.org/10.1109/access.2020.3032380
https://doi.org/10.1109/access.2020.3032380
Publikováno v:
IEEE Access, Vol 7, Pp 143550-143562 (2019)
In this paper, we present a method to improve emotion recognition based on the fusion of local cortical activations and dynamic functional network patterns. We estimate the cortical activations using power spectral density (PSD) with the Burg autoreg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe6d593b3b37aa1039cd732864b49f8
https://ieeexplore.ieee.org/document/8849985/
https://ieeexplore.ieee.org/document/8849985/
Publikováno v:
2018 International Conference on Signal Processing and Information Security (ICSPIS).
In this paper, further investigations into a simpler automated use of Independent Component Analysis (ICA) in the process of Fetal ECG (FECG) extraction are performed. Extracting FECG signals through abdominal electrodes helps clinicians in diagnosin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b5d96e4c9fcb84e108377ec3b76871
https://doi.org/10.1109/cspis.2018.8642725
https://doi.org/10.1109/cspis.2018.8642725