Total artificial hearts (TAHs) and biventricular assist devices (BVADs
) have varying levels of acceptance and reliability, and the research
on both focuses on their control mechanisms. Efforts generally aim to
achieve a response to physiologic demand and left/right output balance
, and beneficial cardiac output (CO) and effective control mechanisms
have been achieved by eliciting a Starling-like response to preload an
d afterload. Such control mechanisms, however, generally base device o
utput on a single parameter, such as the preload on the heart. Current
TAHs and BVADs provide relatively fixed oxygen delivery to patients w
ith large physiologically induced variations in oxygen consumption. Th
is paper aims to document fluctuations in oxygen consumption that are
normal in BVAD and TAH patients, identify a number of patient-generate
d signals that reflect these fluctuations, and describe a multitiered
control algorithm based upon these signals. Such a control system may
offer better response times and more physiologic cardiac outputs. Ther
e currently exists a microprocessor-based control mechanism that can b
e adapted to control TAHs and BVADs using input from a variety of sens
ors, and it can be found in modern implantable pulse generators (IPGs)
. Today's pacemakers are capable of rate control and can run diagnosti
c programs and store data that could be valuable in the evaluation of
the patient's condition.