Abstract: The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a patient's electrocardiogram signal to a power signal. It then learns characteristics of the patient's electrocardiogram signal during the learning state and computes adaptive threshold parameter values. During the peak detection state, the controller applies the learnt threshold parameter values on a current electrocardiogram signal to identify occurrence and timings of R peaks in the electrocardiogram signal. The R-to-R peak timings are then used to trigger inflation of an intra-aortic balloon pump.

Abstract: According to an aspect, there is provided an apparatus for performing the following. The apparatus maintains, in at least one memory, information on a reference incidence direction and reference configuration information defining a plurality of configurations of a plurality of tunable load impedance circuits of a tunable reflective array of a reconfigurable intelligent surface or a subpanel thereof for the reference incidence direction. The apparatus measures an incidence direction from which electromagnetic waves are received by the reconfigurable intelligent surface. The apparatus calculates, based on the reference incidence direction, the measured incidence direction and the reference configuration information, corrected configuration information defining a plurality of corrected configurations for the measured incidence direction. Finally, the apparatus configures the plurality of tunable load impedance circuits according to a corrected configuration.

Abstract: According to an aspect, there is provided an apparatus for performing the following. The apparatus maintains, in at least one memory, information on a reference incidence direction and reference configuration information defining a plurality of configurations of a plurality of tunable load impedance circuits of a tunable reflective array of a reconfigurable intelligent surface or a subpanel thereof for the reference incidence direction. The apparatus measures an incidence direction from which electromagnetic waves are received by the reconfigurable intelligent surface. The apparatus calculates, based on the reference incidence direction, the measured incidence direction and the reference configuration information, corrected configuration information defining a plurality of corrected configurations for the measured incidence direction. Finally, the apparatus configures the plurality of tunable load impedance circuits according to a corrected configuration.

Abstract: The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a patient's electrocardiogram signal to a power signal. It then learns characteristics of the patient's electrocardiogram signal during the learning state and computes adaptive threshold parameter values. During the peak detection state, the controller applies the learnt threshold parameter values on a current electrocardiogram signal to identify occurrence and timings of R peaks in the electrocardiogram signal. The R-to-R peak timings are then used to trigger inflation of an intra-aortic balloon pump.

Abstract: The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a patient's electrocardiogram signal to a power signal. It then learns characteristics of the patient's electrocardiogram signal during the learning state and computes adaptive threshold parameter values. During the peak detection state, the controller applies the learnt threshold parameter values on a current electrocardiogram signal to identify occurrence and timings of R peaks in the electrocardiogram signal. The R-to-R peak timings are then used to trigger inflation of an intra-aortic balloon pump.

Abstract: The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a patient's electrocardiogram signal to a power signal. It then learns characteristics of the patient's electrocardiogram signal during the learning state and computes adaptive threshold parameter values. During the peak detection state, the controller applies the learnt threshold parameter values on a current electrocardiogram signal to identify occurrence and timings of R peaks in the electrocardiogram signal. The R-to-R peak timings are then used to trigger inflation of an intra-aortic balloon pump.