Abstract: In some examples, a system for processing images can include a processor configured to obtain an infrared camera image and extract one or more movement indicators from the infrared camera image. The processor can also use wavelet decomposition to determine at least two data streams from the one or movement indicators and process the at least two data streams from the wavelet decomposition to determine any number of peaks that indicate a heart rate, respiratory rate, or a motion of a patient. The processor can also provide the processed output to a user interface.

Abstract: A system for detecting an oxygen saturation level of a patient includes a processor configured to create a first red plethysmograph waveform from a red image and create a second infrared (IR) plethysmograph waveform from an infrared (IR) image. The processor can also process the first red plethysmograph waveform using wavelet decomposition to obtain a first pulse plethysmograph waveform and process the second IR plethysmograph waveform using wavelet decomposition to obtain a second pulse plethysmograph waveform. Additionally, the processor can calculate an oxygen absorption value using the first pulse plethysmograph waveform and the second pulse plethysmograph waveform and determine the oxygen saturation value for the patient using a reference calibration curve and the oxygen absorption value.

Abstract: In one example, an infant care station can include a camera for capturing video data and a processor configured to execute instructions that can obtain the video data from the camera for a patient. The processor can also generate a point cloud based on the video data and train, using the point cloud as input, a first set of artificial intelligence instructions to detect one or more patient characteristics. Additionally, the processor can generate an output representing the one or more patient characteristics based on the first set of artificial intelligence instructions.