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Large language models (LLMs) have captured significant interest from both academia and industry due to their impressive performance across various textual tasks. However, the potential of LLMs to analyze physiological time-series data remains an emerging ...

Major depressive disorder (MDD) is a common mental illness characterized by persistent feeling of depressed mood and loss of interest. It would cause, in a severe case, suicide behaviors. In clinical settings, automatic MDD detection ...

• A semisupervised-based major depressive disorder (MDD) detection method named MDD-TSVM is proposed.

Remote health monitoring is one kind of E-health service, which transfer the users’ physiological data to the medical data center for analysis or diagnosis. Wireless body area network (WBAN) is a promising technology to achieve physiological ...

Recently, a kind of lightweight and resource‐efficient biometrics‐based security solutions were proposed for the emerging body sensor network (BSN). In such security solutions, physiological characteristics that can be captured by individual sensors of ...

Body area network, which has great potential in being the main front-end platform of telemedicine and mobile health systems, is currently being heavily developed to keep pace with the continuously rising demand for personalized healthcare. In our system,...

Using an initial key corresponding to the original image, an image encryption algorithm based on compound Logistic and Chebyshev chaotic maps is put forward. The cipher sequences are reciprocally disordered in subsection generated alternately by the ...