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Special Issue: "Artificial Intelligence for Biomedical Signal Processing".

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Τίτλος: Special Issue: "Artificial Intelligence for Biomedical Signal Processing".
Συγγραφείς: Vaquerizo-Villar, Fernando, Barroso-García, Verónica
Πηγή: Bioengineering (Basel); Jul2025, Vol. 12 Issue 7, p753, 5p
Θεματικοί όροι: Artificial intelligence, Biomedical signal processing, Patient monitoring, Medical technology, Patient care, Neurorehabilitation
Περίληψη: The article focuses on the transformative role of artificial intelligence (AI) in biomedical signal processing, highlighting its applications in modern medicine. It presents a Special Issue that includes six peer-reviewed studies showcasing innovative AI methodologies for monitoring physiological signals and improving clinical outcomes. Key contributions include the development of models for non-invasive monitoring of blood oxygen saturation and respiratory rates, as well as techniques for synthesizing biomedical signals and enhancing neurological rehabilitation. The findings emphasize the potential of AI to create scalable, non-invasive solutions that can significantly impact patient care and clinical decision-making. [Extracted from the article]
Copyright of Bioengineering (Basel) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Special Issue: "Artificial Intelligence for Biomedical Signal Processing".
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  Data: <searchLink fieldCode="AR" term="%22Vaquerizo-Villar%2C+Fernando%22">Vaquerizo-Villar, Fernando</searchLink><br /><searchLink fieldCode="AR" term="%22Barroso-García%2C+Verónica%22">Barroso-García, Verónica</searchLink>
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  Data: Bioengineering (Basel); Jul2025, Vol. 12 Issue 7, p753, 5p
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  Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+signal+processing%22">Biomedical signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+monitoring%22">Patient monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+technology%22">Medical technology</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+care%22">Patient care</searchLink><br /><searchLink fieldCode="DE" term="%22Neurorehabilitation%22">Neurorehabilitation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The article focuses on the transformative role of artificial intelligence (AI) in biomedical signal processing, highlighting its applications in modern medicine. It presents a Special Issue that includes six peer-reviewed studies showcasing innovative AI methodologies for monitoring physiological signals and improving clinical outcomes. Key contributions include the development of models for non-invasive monitoring of blood oxygen saturation and respiratory rates, as well as techniques for synthesizing biomedical signals and enhancing neurological rehabilitation. The findings emphasize the potential of AI to create scalable, non-invasive solutions that can significantly impact patient care and clinical decision-making. [Extracted from the article]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Bioengineering (Basel) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Biomedical signal processing
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      – SubjectFull: Patient monitoring
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      – SubjectFull: Patient care
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      – SubjectFull: Neurorehabilitation
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              Text: Jul2025
              Type: published
              Y: 2025
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