Xiaoling Hu – författare

Intelligent Biomechatronics in Neurorehabilitation presents global research and advancements in intelligent biomechatronics and its applications in neurorehabilitation. The book covers our current understanding of coding mechanisms in the nervous system, from the cellular level, to the system level in the design of biological and robotic interfaces. Developed biomechatronic systems are introduced as successful examples to illustrate the fundamental engineering principles in the design. The third part of the book covers the clinical performance of biomechatronic systems in trial studies. Finally, the book introduces achievements in the field and discusses commercialization and clinical challenges.

As the aging population continues to grow, healthcare providers are faced with the challenge of developing long-term rehabilitation for neurological disorders, such as stroke, Alzheimer's and Parkinson's diseases. Intelligent biomechatronics provide a seamless interface and real-time interactions with a biological system and the external environment, making them key to automation services.

Written by international experts in the rehabilitation and bioinstrumentation industries Covers the current understanding of nervous system coding mechanisms, which are the basis for biological and robotic interfaces Demonstrates and discusses robotic rehabilitation effectiveness and automatic evaluation

This edited volume, featuring contributions from authors around the world, presents practical information on cutting-edge technologies for automated diagnoses and interventions for long-term tele-neurorehabilitation.As tele-neurorehabilitation is increasingly augmenting traditional centralized and face-to-face rehabilitation services, in-depth practical knowledge is becoming increasingly necessary. This book therefore collates current leading research on various technologies and processes to provide readers with a holistic view of the topic. Readers will gain knowledge on the clinical effectiveness and efficiency of various technology-assisted interventions with supporting information from trials and pioneering translational studies. The book summarizes valuable and cross-disciplinary experiences and knowledges from experts in the field. Each chapter presents the theoretical backbone, implementing methods, and patient outcomes. The book is divided into three sections: first on quantitative neurological and behavioral evaluations, second on automations in rehabilitative intervention, and third on the industrialization of tele-neurorehabilitation. The overall structure flows from fundamental research in the upper stream to midstream clinical trials and finally to translational applications and commercialization in the downstream in the bioinstrumentation and rehabilitation service industries. This focus and structure will enable practitioners to facilitate patients’ self-help operations in unconventional environments such as at home or in outdoor spaces, with remote professional supervision in the flexible management of telerehabilitation.This book is an important reference book for postgraduate students and professionals in fields related to the bioinstrumentation and rehabilitation service industries. This includes biomedical engineering, rehabilitation engineering, bioinstrumentation, neuroscience, clinical rehabilitation, and entrepreneurship of medical and healthcare devices.

This book constitutes the proceedings of the First International Workshop on Topology- and Graph-Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024.The 13 full papers presented here were carefully reviewed and selected. These papers focus on the application of Topological Data Analysis (TDA) techniques, along with other computational techniques, for summarizing, analyzing, quantifying, and visualizing complex medical data for a more effective and efficient analysis.

This book constitutes the refereed proceedings of the 7th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2025, and the First Workshop on Reconstruction and Imaging Motion Estimation, RIME 2025, held in conjunction with MICCAI 2025, in Daejeon, South Korea, on September 27, 2025.

As the main trend and key enabling technology for next-generation wireless networks (i.e., 6G), integrated sensing and communication (ISAC) can effectively improve spectrum efficiency, hardware efficiency, and information processing efficiency.