Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating controllable videos using generative neural networks.

Abstract: A static charge filter (522) removes static charge in a cardiac electrical signal. The static charge filter includes a first amplifier (608) configured to amplify an input signal, which includes the cardiac electrical signal and static charge from an electrode, which is in a path of an X-ray beam. The static charge filter further includes a limiter (614) configured to limit a maximum voltage of the signal based on a predetermined clamping threshold, producing a voltage clamped signal. The static charge filter further includes a filter (616) configured to filter high frequency components of the voltage clamped signal, producing a filtered signal. The static charge filter further includes a second amplifier (620) configured to scale an amplitude of the filtered signal so that cardiac electrical signal in an output signal has a same voltage level as a voltage level of the cardiac electrical signal in the input signal.

Abstract: In one exemplary embodiment, a method for detecting variants in electropherogram data is provided. The method includes receiving electropherogram data from an instrument and analyzing the electropherogram data to identify mixed bases in the electropherogram data. The method further includes validating the identified mixed bases. Then the method includes determining variants in the electropherogram data based on the validated mixed bases.