Innovation in areas such as power supplies, size reduction, biocompatibility, durability and lifespan is leading to a rapid increase in the range of devices and applications in the field of implantable biomedical microsystems, which are used for monitoring, diagnosing, and controlling the activities of the human body.

This book provides comprehensive coverage of the fundamental design principles for implantable systems, as well as several major application areas. Each component in an implantable system is described, and major case studies demonstrate how these systems can be designed and optimized for specific design objectives.

Beside low-power signal processing electronics for implantable systems, further topics covered include signal processing hardware, sensor selection, wireless telemetry devices, new types of bio-transducers, power management solutions, system integration techniques, computational algorithms, device packaging, and security measures.

Case studies include studies on implantable neural signal processors, brain-machine interface (BMI) systems, implantable pressure sensors, pacemakers, neural prosthesis, cochlear implant systems, bladder pressure monitoring for treating urinary incontinence, and drug delivery for cancer patients.

Implantable Biomedical Microsystems is the first comprehensive coverage of bioimplantable system design providing an invaluable information source for researchers in Biomedical, Electrical, Computer, Systems, and Mechanical Engineering as well as Engineers involved in design and development of implantable electronic systems and, more generally, Engineers working on low-power wireless applications.
First time comprehensive coverage of system-level and component-level design and engineering aspects for implantable microsystems.
Provides insight into a wide range of proven applications and application specific design trade-offs of bioimplantable systems, including several major case studies.
Enables Engineers involved in development of implantable electronic systems to optimize applications for specific design objectives."