Welcome to the Library Catalog of "Dunarea de Jos" University of Galati

Biomedical Engineering [electronic resource] : AI and Technological Innovations / edited by Khin Wee Lai, Pauline Shan Qing Yeoh.

Contributor(s): Material type: TextSeries: Series in BioEngineeringPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: X, 163 p. 70 illus., 42 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819792948
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • R895-920
Online resources:
Contents:
Development of a Web-Based Maternal Health Monitoring System: Advancing Beyond Manual Record-keeping -- Development and Testing of a Home-based Phototherapy System for Neonatal Jaundice -- Non-Invasive Blood Glucose Monitoring Via Infrared Absorbance -- mpowering Predictive Maintenance of Medical Equipment through AI[1]Driven Condition Monitoring -- Multi-Label Convolutional Neural Network For Multiple Diseases Detection In Chest Radiographs -- Artificial Intelligence in Prosthetic Gait Assessment and Prosthesis Control: Present and Future -- Preliminary Analysis of Ultrasound Features for Detection of Polycystic Ovary Syndrome (PCOS) in Women -- Mechanomyography Analysis of Respiratory Muscle Function while Singing in Spinal Cord Injury.
In: Springer Nature eBookSummary: This book brings together contributions from leading experts in the field, each addressing a critical area where AI and technology are making significant impacts. The chapters encompass a wide range of topics, from the application of machine learning in cancer grading and maternal health monitoring to the development of innovative wearable devices and advanced diagnostic tools. The book not only underscores the transformative potential of AI and technology in biomedical; but also serves as a vital resource for researchers, practitioners, and students. By showcasing the latest research and innovations, this book aims to inspire continued exploration and development in this dynamic and rapidly evolving field.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Development of a Web-Based Maternal Health Monitoring System: Advancing Beyond Manual Record-keeping -- Development and Testing of a Home-based Phototherapy System for Neonatal Jaundice -- Non-Invasive Blood Glucose Monitoring Via Infrared Absorbance -- mpowering Predictive Maintenance of Medical Equipment through AI[1]Driven Condition Monitoring -- Multi-Label Convolutional Neural Network For Multiple Diseases Detection In Chest Radiographs -- Artificial Intelligence in Prosthetic Gait Assessment and Prosthesis Control: Present and Future -- Preliminary Analysis of Ultrasound Features for Detection of Polycystic Ovary Syndrome (PCOS) in Women -- Mechanomyography Analysis of Respiratory Muscle Function while Singing in Spinal Cord Injury.

This book brings together contributions from leading experts in the field, each addressing a critical area where AI and technology are making significant impacts. The chapters encompass a wide range of topics, from the application of machine learning in cancer grading and maternal health monitoring to the development of innovative wearable devices and advanced diagnostic tools. The book not only underscores the transformative potential of AI and technology in biomedical; but also serves as a vital resource for researchers, practitioners, and students. By showcasing the latest research and innovations, this book aims to inspire continued exploration and development in this dynamic and rapidly evolving field.

There are no comments on this title.

to post a comment.
Biblioteca Universității "Dunărea de Jos" din Galați