By Mohamad Sawan, Westlake University, China, email@example.com | Jie Yang, Westlake University, China | Mahdi Tarkhan, Westlake University, China | Jinbo Chen, Westlake University, China | Minqing Wang, Westlake University, China | Chuanqing Wang, Westlake University, China | Fen Xia, Westlake University, China | Yun-Hsuan Chen, Westlake University, China
Biomedical circuits and systems are heading toward a multidisciplinary race in two main directions. On the one hand, advanced smart medical devices must be built to improve human healthcare conditions. On the other hand, breakthroughs are required in mimicking the brain when designing learning algorithms and corresponding hardware implementations for numerous applications. In this monograph, we review the main emerging trends and report the trends of biomedical circuits and systems. We report most related circuits and systems activities for biosignal recording and processing, advanced imaging techniques and corresponding circuits and systems, power harvesting and wireless data communications, as well as body area networks, biosensors, and neural prostheses. The research direction in each one of these circuits and systems occupies a large place in several international conferences and prestigious journals, not only in many IEEE societies but also in several other publications.
Science and engineering disciplines are provoking fundamental and applied discoveries in numerous applications, such as to deeply understand brain functions, precisely diagnose diseases, and to then properly address these. The later advances call upon biomedical integrated circuits and systems (BioCAS) to provide needed research tools. In fact, with the increase of the personalized healthcare market and BioCAS featuring wearability, implantability and intelligence, it has become significantly more important to address these emerging trends. These circuits and systems deal with various signals and images such as electrophysiological, electrochemical, optical, and magnetic, which require various front-end circuits to acquire signals and usually cancel out the noise. With the booming artificial intelligence methods, these biosignals became mandatory for the monitoring, detection, diagnosis and even prediction of diseases for example.
This monograph focusses on the current research activities and emerging trends that relate to the above-mentioned functionalities, and it should be of interest to students, researchers and engineers active in the fields related to Circuits and Systems for Biomedical Engineering.
Section I is a summary of the main BioCAS research interests, and in Section II various biosignal acquisition circuits techniques are discussed. In Section III the authors cover circuits for biosignal processing, with emphasis on the newly emerging artificial intelligence. Sections IV and V contain a review of wireless power harvesting and communication circuits. Sections VI and VII represent circuits that help miniaturizing biomedical imaging systems, and other systems intended for the detection of chemical and molecular assays. Section VIII describes one of the main neural prostheses intended to address vision disorders, whilst the last section reviews electrode-tissue interfaces that essentially bridge the circuits and systems with the human body.