| CPC A61M 5/1723 (2013.01) [A61B 5/4839 (2013.01); A61B 5/7221 (2013.01); A61B 5/7267 (2013.01); A61K 31/137 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G16H 20/17 (2018.01); G16H 50/30 (2018.01); A61M 2230/04 (2013.01); A61M 2230/30 (2013.01); A61M 2230/65 (2013.01)] | 24 Claims |

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1. A method for validating waveform reliability and controlling fluid infusion comprising
continuously capturing, using one or more transducers, a blood pressure measurement from a patient and generating a blood pressure waveform;
validating, using a waveform reliability evaluator, a reliability of the continuous waveform, wherein the waveform reliability evaluator comprises a machine learning algorithm, wherein validating a reliability of the continuous waveform comprises:
receiving physiological measurements as a continuous blood pressure waveform derived from the one or more transducers,
identifying features from the continuous blood pressure waveform, and
computing, using the identified features as input into the machine learning algorithm, a waveform reliability output; and
pumping fluid into the patient via a fluid pump, wherein a control module receives physiological measurement data from the continuously captured physiological measurements and the computed waveform reliability output to control infusion rate of the fluid pump based on the physiological measurement data and the waveform reliability output.
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