Advanced Research in Electronic Devices for Biomedical and mHealth
Advanced Research in Electronic Devices for Biomedical and mHealth
English | 2024 | ISBN: 1774915162 | 324 Pages | PDF (True) | 9 MB
English | 2024 | ISBN: 1774915162 | 324 Pages | PDF (True) | 9 MB
This volume addresses the major design challenges and research potential in electronic device applications in healthcare and biomedical systems, exploring the blending of innovative mobile communications, network technologies, and medical sensor and ubiquitous computing devices with medical and biological applications. The authors explore current and future trends in new communication and network technologies for healthcare delivery and new wireless telemedical and mobile health services. The chapters look at the application of machine learning, convolutional neural networks, smartphone-based devices, IoT sensors, and other smart technologies for health diagnosis and monitoring. The volume also looks at integrated circuit design for healthcare applications. The design of energy harvesting systems for a low power biomedical applications is considered, and another unique chapter illustrates the ability of mHealth technologies by using machine learning to predict which blood groups provide resistance against the COVID-19 Delta variant.