AIM in Wearable and Implantable Computing

Publication Type Book Section
Authors Annalisa Baronetto, Oliver Amft
Title AIM in Wearable and Implantable Computing
Abstract Wearable and implantable computing devices are becoming an integral component in healthcare thanks to their ability to measure multiple physical, physiological, and environmental variables in everyday life. The analysis of the large volume, velocity, and variety of data requires AI methods and context awareness. Body-worn computing devices can help clinicians by providing important information in decision-making, e.g., during diagnosis and therapy management, but similarly could help to implement interventions, e.g., to provide reminders and nudges. This chapter gives an overview on AI-empowered wearable and implantable computing systems and their use in medicine. First, context awareness and its implementation is introduced. AI application examples are detailed. Subsequently, AI methods for personalization and optimal system design are reviewed, including methods for fabrication planning and monitoring. The chapter is concluded by discussing procedures to validate medical wearable and implantable systems, from safety assessments to usability tests.
Book Title Artificial Intelligence in Medicine
Edition Living reference work
Place Cham
Publisher Springer International Publishing
Date 2021
Pages 1-16
Language en
ISBN 978-3-030-58080-3
URL Publisher's website
Accessed 2021-09-26T08:26:17Z
Library Catalog CrossRef
Friedrich-Alexander-Universität Erlangen-Nürnberg