Abstract:
A system may include a photoplethysmograph (PPG) sensor configured to be secured to a patient and to generate a PPG signal for the patient. The system may also include a motion sensor configured to generate a motion signal indicative of motion of the patient. Further, the system may include a controller configured to receive the PPG signal from the PPG sensor and the motion signal from the motion sensor, to analyze the motion signal to detect motion of the patient, and to deactivate the at least one emitter of the PPG sensor based on the analysis of the motion signal when motion of the patient is detected.
Abstract:
Systems, methods, sensors, and software for providing enhanced measurement and detection of patient pain response are provided herein. In a first example, a measurement system is provided that includes a capacitive system configured to measure a capacitance signal of tissue of the patient using a capacitive sensor proximate to the tissue of the patient. The measurement system also includes a patient monitor configured to measure an electrical signal representing brain activity of the patient. The measurement system also includes a processing system configured to determine pain metrics based at least on the capacitance signal and the electrical signal, and determine a pain response of the patient based at least on the pain metrics and pain calibration information for the patient.
Abstract:
A medical monitoring system includes an oximetry sensor having a light emitter positioned to emit light into a patient and a photodetector positioned to generate a plethysmography signal. The system includes a monitor having a processor configured to receive the plethysmography signal from the oximetry sensor and to identify a non-cardiac pulse based on a first pulse shape metric, the non-cardiac pulse being generated by the administration of cardiopulmonary resuscitation (CPR) to the patient. The processor is also configured to measure an oxygen saturation of the patient from the identified non-cardiac pulse and to output the measured oxygen saturation to a visual display.
Abstract:
A method for monitoring autoregulation includes, using a processor, receiving a blood pressure signal and an oxygen saturation signal from a patient. The method also includes determining a linear correlation between the blood pressure signal and the oxygen saturation signal and determining a significance value associated with the linear correlation. The method further includes providing a signal indicative of the patient's autoregulation status to an output device based on the linear correlation and the significance value.
Abstract:
Systems and methods are provided for generating respiration alarms. Respiration information and oxygen saturation information is determined from a photoplethysmograph (PPG) signal. This information is analyzed in connection with activating a respiration lost alarm.
Abstract:
Methods and systems are provided for determining fluid responsiveness based on physiological signals. The system may detect gain changes or excessive baseline modulations. In some embodiments, based on the detected gain changes or excessive baseline modulations, the system may ignore portions of physiological signals and determine a parameter indicative of fluid responsiveness based on a plurality of amplitudes determined from other portions of the physiological signals. In some embodiments, based on the detected gain changes or excessive baseline modulations, the system may determine fluid responsiveness, or refrain from determining fluid responsiveness.
Abstract:
Systems and methods provided relate to patient sensors and/or patient monitors that recognize and/or identify a patient with physiological signals obtained from the sensor. A scalogram may be produced by applying a wavelet transform for the physiological signals obtained from the sensor. The scalogram may be a three dimensional model (having time, scale, and magnitude) from which certain physiological information may be obtained. For example, unique human physiological characteristics, also known as biometrics, may be determined from the scalograms. More specifically, monitoring the changes in the morphology of the photoplethysmographic (PPG) waveform transforms (e.g., scalogram) may determine patient-specific information that may be used to recognize and/or identify the patient, and that may be used to determine a proper or improper association between the patient and the wireless sensor and/or patient monitor.