Abstract: Systems and methods for managing clinical trial electronic heath records and machine learning systems therefor are provided. An authenticator agent allows healthcare personnel to access and manage clinical trial electronic health records for patients and a patient registry manager enrolls patients in the system. A patient chart exporter electronically communicates with a plurality of electronic health record systems and retrieves patient electronic health records from such systems. A data ingestion, transformation, and analysis engine processes the electronic health records to create a unified clinical trial electronic health record having information about the patient's progress during a clinical trial in a single, easy to access and manage electronic record. Healthcare professionals can electronically annotate the clinical trial electronic health record.

Abstract: A desired mass domain excitation profile is selected and converted to a frequency domain excitation spectrum in which the frequency of excitation is generally proportional to the inverse of the mass-to-charge ratio. In the direct method of the invention, the specified frequency domain spectrum is converted by inverse Fourier transformation to a time domain waveform and multiplied by an expanded window function. The time domain waveform is forward Fourier transformed to produce a second discrete frequency spectrum each frequency of which is assigned a phase scrambled such that maximum reduction of peak excitation voltage is achieved with no distortion of the excitation amplitude spectrum. The phase-scrambled frequency spectrum is inverse Fourier transformed to produce the final time domain waveform which is used to generate the electric field which excites the ions in an ion cyclotron resonance cell.