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Emotion recognition or detection is broadly utilized in patient-doctor interactions for diseases such as schizophrenia and autism and the most typical techniques are speech detection and facial recognition. However, features extracted from these beha
Externí odkaz:
http://arxiv.org/abs/2301.01887
With the fast advancement of smart devices and Internet of Things (IoT) technologies, certain established situations are opening up new avenues of exploration. Particularly in the sphere of healthcare, the diverse and big population, the complicated
Externí odkaz:
http://arxiv.org/abs/2203.12787
Seizure onset detection in electroencephalography (EEG) signals is a challenging task due to the non-stereotyped seizure activities as well as their stochastic and non-stationary characteristics in nature. Joint spectral-temporal features are believe
Externí odkaz:
http://arxiv.org/abs/2202.06284
Cardiovascular disease has become one of the most significant threats endangering human life and health. Recently, Electrocardiogram (ECG) monitoring has been transformed into remote cardiac monitoring by Holter surveillance. However, the widely used
Externí odkaz:
http://arxiv.org/abs/2201.10083
Akademický článek
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Autor:
Yan, Xucun
Smart healthcare is a health service system that utilizes technologies, e.g., artificial intelligence and big data, to alleviate the pressures on healthcare systems. Much recent research has focused on the automatic disease diagnosis and recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______293::d7c9b9bbe4b5d0f1992c7be8e5f25dcb
https://hdl.handle.net/2123/31371
https://hdl.handle.net/2123/31371
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [IEEE Trans Neural Syst Rehabil Eng] 2022; Vol. 30, pp. 668-677. Date of Electronic Publication: 2022 Mar 22.