Computer-Aided Clinical Decision Support Systems for Atrial Fibrillation [chapter]

Prasanth Ganesan, Mark Sterling, Steven Ladavich, Behnaz Ghoraani
2016 Computer-aided Technologies - Applications in Engineering and Medicine  
Clinical decision support systems (clinical DSSs) are widely used today for various clinical applications such as diagnosis, treatment, and recovery. Clinical DSS aims to enhance the end-to-end therapy management for the doctors, and also helps to provide improved experience for patients during each phase of the therapy. The goal of this chapter is to provide an insight into the clinical DSS associated with the highly prevalent heart rhythm disorder, atrial fibrillation (AF). The use of
more » ... DSS in AF management is ubiquitous, starting from detection of AF through sophisticated electrophysiology treatment procedures, all the way to monitoring the patient's health during follow-ups. Most of the software associated with AF DSS are developed based on signal processing, image processing, and artificial intelligence techniques. The chapter begins with a brief description of DSS in general and then introduces DSS that are used for various clinical applications. The chapter continues with a background on AF and some relevant mechanisms. Finally, a couple of clinical DSS used today in regard with AF are discussed, along with some proposed methods for potential implementation of clinical DSS for detection of AF, prediction of an AF treatment outcome, and localization of AF targets during a treatment procedure. Figure 11 . Overview of the guidance algorithm-The inputs are the search space and the two EGM characteristics, RPR (τ) and FAB (Φ) and the output is the estimated location of rotor. Computer-Aided Clinical Decision Support Systems for Atrial Fibrillation http://dx.
doi:10.5772/65620 fatcat:sxuifbhucfbmtkdsv5js6xdtf4