Abstract: Aspects of the present disclosure describe systems and methods for predicting an intra-aortic pressure of a patient receiving hemodynamic support from a transvalvular micro-axial heart pump. In some implementations, an intra-aortic pressure time series is derived from measurements of a pressure sensor of the transvalvular micro-axial heart pump and a motor speed time series is derived from a measured back electromotive force of a motor of the transvalvular micro-axial heart pump. Furthermore, in some implementations, machine learning algorithms, such as deep learning, are applied to the intra-aortic pressure and motor speed time series to accurately predict an intra-aortic pressure of the patient. In some implementations, the prediction is short-term (e.g., approximately 5 minutes in advance).

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a healthcare analytics management system. A healthcare analytics development sub-system of the healthcare analytics management system develops an analytics pipeline of a set of analytics assets for a selected healthcare based on a set of business needs for a healthcare analytics client and a healthcare analytics model based on the set of analytics assets and the set of business needs. The healthcare analytics model links to the analytics pipeline. A model deployment module of a healthcare analytics operation sub-system of the healthcare analytics management system deploys the healthcare analytics model on a set of computing devices of the selected healthcare consumer.

Abstract: In general, in one aspect, the disclosure describes a high-speed multi-phase voltage regulator (VR) capable of sensing load current. For each phase leg, the VR includes a current mirror to mirror current in switching elements, a current sense to sense high side current in the current mirror, and a I-V converter to convert the sensed high side current to a voltage. The high side sensed current for each phase leg is averaged and the duty cycle for the VR is extracted. The average high side sensed current and the duty cycle are converted to digital by an A-D converter. Digital circuitry corrects the sensed current by adjusting for the gain and offset voltage of the VR. The adjusted sensed value is divided by the duty cycle to convert to load current and the average load current is multiplied by the number of phases operating to determine overall load current.

Abstract: In general, in one aspect, the disclosure describes a high-speed multi-phase voltage regulator (VR) capable of sensing load current. For each phase leg, the VR includes a current mirror to mirror current in switching elements, a current sense to sense high side current in the current mirror, and a I-V converter to convert the sensed high side current to a voltage. The high side sensed current for each phase leg is averaged and the duty cycle for the VR is extracted. The average high side sensed current and the duty cycle are converted to digital by an A-D converter. Digital circuitry corrects the sensed current by adjusting for the gain and offset voltage of the VR. The adjusted sensed value is divided by the duty cycle to convert to load current and the average load current is multiplied by the number of phases operating to determine overall load current.