M. B. Malarvili – författare
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5 produkter
Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment
Av M. B. Malarvili, Teo Aik Howe m. fl.
Häftad, 2022
1435 kr
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Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment provides a comprehensive overview of groundbreaking tools and techniques for the diagnosis and monitoring of asthma. Sections cover an introduction to the human respiratory system and the pathophysiology of …
Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment
Av Om Prakash Singh, Mushikiwabeza Alexie m. fl.
E-bok, 2022
2039 kr
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Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment provides a comprehensive overview of groundbreaking tools and techniques for the diagnosis and monitoring of asthma. Sections cover an introduction to the human respiratory system and the pathophysiology of …
Emerging Technologies and Concepts for Cardiovascular Risk Detection
Av Olivier Meste, Aindi Anas m. fl.
E-bok, 2025
446 kr
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This accessible guide to advanced medical technologies and methodologies for monitoring, diagnosing, and predicting cardiovascular diseases addresses sensor technologies and non-invasive monitoring methods and looks at the growing integration of machine learning and AI. The authors guide readers …
Emerging Technologies and Concepts for Cardiovascular Risk Detection
Av Olivier Meste, Aindi Anas m. fl.
E-bok, 2025
446 kr
Lägg i varukorg
This accessible guide to advanced medical technologies and methodologies for monitoring, diagnosing, and predicting cardiovascular diseases addresses sensor technologies and non-invasive monitoring methods and looks at the growing integration of machine learning and AI. The authors guide readers …
Emerging Technologies and Concepts for Cardiovascular Risk Detection
Av Denesh Sooriamoorthy, M. B. Malarvili m. fl.
Inbunden, 2025
914 kr
Lägg i varukorg
This accessible guide to advanced medical technologies and methodologies for monitoring, diagnosing, and predicting cardiovascular diseases addresses sensor technologies and non-invasive monitoring methods and looks at the growing integration of machine learning and AI.The authors guide readers …