Integrated CMOS electronic system-on-chip for medical sensors and actuators.
We present an overview of an integrated low-power, lightweight, compact computing platform dedicated to addressing specific needs in sensing and actuation. The architecture includes an adaptive computing electronic design (Chip) that supersedes the capabilities of present microcomputing paradigms (micro-processors, micro-controllers, and DSPs) in the application domains of process identification, modeling, prediction, and real-time control. In particular, a domain of prominent applications is biological and medical measurements and stimulation.
Salem
Fathi M
FM
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI 48824, USA. salem@egr.msu.edu
D001185:Artificial Intelligence; D001698:Biomedical Engineering; D004582:Electronics, Medical / Q000295:instrumentation*; D004867:Equipment Design; D016571:Neural Networks, Computer; D011145:Polyvinyls; D005465:Fluorocarbon Polymers
D011145:Polyvinyls; C024865:polyvinylidene fluoride; D005465:Fluorocarbon Polymers