Abstract:
The present invention relates to physiological signal processing, and in particular to methods and systems for processing physiological signals to predict a fluid responsiveness of a patient. A medical monitor for monitoring a patient includes an input receiving a photoplethysmograph (PPG) signal representing light absorption by a patient's tissue. The monitor also includes a perfusion status indicator indicating a perfusion status of the PPG signal, and a fluid responsiveness predictor (FRP) calculator programmed to calculate an FRP value based on a respiratory variation of the PPG signal. The FRP calculator applies a correction factor based on the perfusion status indicator.
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:
A physiological monitoring system may determine a probe-off condition. A physiological sensor may be used to emit one or more wavelengths of light. A received light signal may be processed to obtain a light signal corresponding to the emitted light and an ambient signal. The signals may be analyzed to identify similar behavior. The system may determine whether the physiological sensor is properly positioned based on the analysis.
Abstract:
Systems and methods are provided for determining respiration information. Respiration information is determined from physiological signals responsive to regional oxygen saturation information. Respiration information is determined based on any of the amplitude, frequency, or baseline components of the physiological signals.
Abstract:
A physiological monitoring system may determine a probe-off condition. A physiological sensor may be used to emit one or more wavelengths of light. A received light signal may be processed to obtain a light signal corresponding to the emitted light and an ambient signal. The signals may be analyzed to identify similar behavior. The system may determine whether the physiological sensor is properly positioned based on the analysis.
Abstract:
The present invention relates to physiological signal processing, and in particular to methods and systems for processing physiological signals to predict a fluid responsiveness of a patient. A medical monitor for monitoring a patient may include an input receiving a photoplethysmograph (PPG) signal representing light absorption by a patient's tissue, and a fluid responsiveness predictor (FRP) calculator programmed to calculate an FRP metric. The monitor also may include a memory storing a relationship between the FRP metric and a pulse pressure variation (PPV) metric. The FRP metric is calculated based on a respiratory variation of the PPG signal and based on the relationship.
Abstract:
A physiological monitoring system may determine respiration information from a PPG signal. The system may analyze the PPG signal with respect to itself by associating values of the PPG signal with values of a time-delayed version of the PPG signal to create pairs of associated values. A subset of associated values may be identified. Respiration metric values may be determined based on the subset of pairs. The respiration metric values may be amplitude values and/or time values corresponding to the subset of pairs. The respiration metric values may be analyzed using autocorrelation, cross-correlation, or other signal processing techniques to determine respiration information such as respiration rate.
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 physiological monitoring system may use photonic signals at one or more wavelengths to determine physiological parameters. The system may monitor a photoplethysmograph (PPG) signal, which may include a periodic component, and an aperiodic component. An attractor may be generated based on a first segment of the PPG signal and a second segment of the PPG signal shifted in time relative to the first segment by a time delay. The system may analyze points of the attractor that correspond to a curve, analyze the distribution of the attractor about a curve, or both, to determine a signal quality metric indicative of cycle to cycle variation in the PPG signal.