Abstract: A vehicle seating assembly comprises a base having an upper rim and a receptacle below the rim, a seatback having upper and lower sections operable at an intermediate hinge between opened and closed positions and frame members operably coupling the base with the seatback, and operable between a use position, wherein the seatback is above the base, and a stowed position, wherein the seatback is in front of and below the rim.

Abstract: A vehicle seating assembly comprises a base having an upper rim and a receptacle below the rim, a seatback having upper and lower sections operable at an intermediate hinge between opened and closed positions and frame members operably coupling the base with the seatback, and operable between a use position, wherein the seatback is above the base, and a stowed position, wherein the seatback is in front of and below the rim.

Abstract: Impedance, e.g. sub-threshold impedance, is measured across the heart at selected cardiac cycle times as a measure of chamber expansion or contraction. One embodiment measures impedance over a long AV interval to obtain the minimum impedance, indicative of maximum ventricular expansion, in order to set the AV interval. Another embodiment measures impedance change over a cycle and varies the AV pace interval in a binary search to converge on the AV interval causing maximum impedance change indicative of maximum ventricular output. Another method varies the right ventricle to left ventricle (VV) interval to converge on an impedance maximum indicative of minimum cardiac volume at end systole. Another embodiment varies the VV interval to maximize impedance change. Other methods vary the AA interval to maximize impedance change over the entire cardiac cycle or during the atrial cycle.

Abstract: A method for finding a match between a pattern of data of relatively small size in a base of related data or relatively large size in the presence of occlusions which are gaps or noise that obscure portions, either of the pattern or of the base. The method involves masking out occluded points in both the base data and the pattern so that correlation can be computed only at those points that are not occluded.