Abstract:
Implantable direct cardiac compression (DCC)
systems such as our Heart Patch Pump can assist the failing
heart without the risk of blood contact. To provide realtime,
accurate support of pumping function, these devices need to
assess hemodynamic variables such as cardiac output. For the
Heart Patch Pump, we have based our control algorithm on
time-varying stroke volume (SV(t)) estimates using
sonomicrometer crystals placed in the heart. Multilinear
regression was performed on 28 dimensions, during six
different cardiac states. Then, six principal dimensions were
identified as those with the greatest change during contraction.
A strong correlation was maintained in all cardiac states when
only the principal dimensions were used.
