Abstract:
Embodiments provide systems and methods for displaying a fluid responsiveness predictor (FRP) based on an analysis a physiological signal detected by a physiological sensor applied to a patient. A method may include detecting the signal of the patient with the physiological sensor, determining an FRP with a FRP determination module, wherein the determining operation comprises analyzing at least one characteristic of the physiological signal over time to determine the FRP, receiving a report request to report the FRP at a requested time through a user interface, generating a reported FRP in relation to the requested time using the FRP determination module, and displaying the reported FRP on a display. The displaying operation may include displaying the FRP using at least one graphic representation.
Abstract:
A technique for managing alarms includes acquiring a physiological parameter value and one or more alarm settings associated with the physiological parameter value. The technique also includes determining if the one or more alarm settings are associated with an adaptive alarm manager selecting an adaptive alarm condition from a plurality of adaptive alarm conditions when the one or more alarm settings are associated with the adaptive alarm manager; determining if the physiological parameter value meets the selected adaptive alarm condition; and generating an alarm in response when the physiological parameter value meets the selected adaptive alarm condition.
Abstract:
A PPG system for determining a stroke volume of a patient includes a PPG sensor configured to be secured to an anatomical portion of the patient. The PPG sensor is configured to sense a physiological characteristic of the patient. The PPG system may include a monitor operatively connected to the PPG sensor. The monitor receives a PPG signal from the PPG sensor. The monitor includes a pulse trending module determining a slope transit time of an upslope of a primary peak of the PPG signal. The pulse trending module determines a stroke volume of the patient as a function of the slope transit time.
Abstract:
A system for determining a hemodynamic status of an individual may include a photoplethysmography (PPG) sub-system configured to detect a PPG signal and a response triggering module configured to analyze the PPG signal and output one or more response triggers based on a changing feature of the PPG signal within a time window. Each of the one or more response triggers may relate to an instruction to initiate detection of at least one physiological characteristic of the individual. A blood pressure (BP) variability index determination module is configured to determine a BP variability index related to a hemodynamic status of the individual based on a frequency or pattern of the one or more response triggers.
Abstract:
A test unit may generate a pulse signal based on a pulsatile profile and a frequency modulation component of a respiratory profile. A respiration modulated signal may be generated from the pulse signal, an amplitude modulation component, and a baseline modulation component. A patient modulated signal may be generated based on the respiration modulated signal and a patient profile. The artificial PPG signal may be generated based on the patient modulated signal and an artifact profile. The artificial PPG signal may be output to an electronic device.
Abstract:
Certain embodiments of the present disclosure provide a system and method for analyzing a physiological signal detected from an individual. The system may include a physiological signal detection module configured to detect the physiological signal of the individual, a wavelet formation module configured to form a wavelet based on the physiological signal, and a wavelet transform module configured to generate a scalogram by transforming the physiological signal with the wavelet based on the physiological signal.
Abstract:
A physiological monitoring system may determine a probe-off condition. A physiological sensor may receive a light signal including one or more wavelengths of light. The received light signal may be processed to obtain a light signal corresponding to an ambient light signal and a light signal corresponding to an emitted light signal and the ambient light signal. The signals may be analyzed to identify an inverse effect. The system may determine whether the physiological sensor is properly positioned based on the identification of an inverse effect.
Abstract:
A PPG system for determining a stroke volume of a patient includes a PPG sensor configured to be secured to an anatomical portion of the patient. The PPG sensor is configured to sense a physiological characteristic of the patient. The PPG system may include a monitor operatively connected to the PPG sensor. The monitor receives a PPG signal from the PPG sensor. The monitor includes a pulse trending module determining a slope transit time of an upslope of a primary peak of the PPG signal. The pulse trending module determines a stroke volume of the patient as a function of the slope transit time.
Abstract:
A sound signal from a patient may include information that may be used to determine multiple patient parameters. A patient monitor may determine respiration information such as respiration rate from the sound signal, for example based on modulations of the sound signal due to patient breathing. The patient monitor may also determine indications of patient distress based on a trained classifier, speech commands, or sound patterns.
Abstract:
A system is configured to determine a fluid responsiveness index of a patient from a physiological signal. The system may include a sensor configured to be secured to an anatomical portion of the patient, and a monitor operatively connected to the sensor. The sensor is configured to sense a physiological characteristic of the patient. The monitor is configured to receive a physiological signal from the sensor. The monitor may include an index-determining module configured to determine the fluid responsiveness index through formation of a ratio of one or both of amplitude or frequency modulation of the physiological signal to baseline modulation of the physiological signal.