Λεπτομέρειες βιβλιογραφικής εγγραφής
| 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] |
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| Βάση Δεδομένων: |
Complementary Index |