Abstract: A speaking valve includes a hollow body configured to be secured to a connector of a tracheostomy system disposed in a patient. The speaking valve further includes a cap that houses a valve member, which enables the speaking valve to act as a one-way check valve. The valve member, hollow body, or other components of the valve may include a material that undergoes a chemical changed when exposed to moisture, i.e., a hydrosensitive material. Particularly, the hydrosensitive material may exhibit a color change when exposed to moisture. As such, the hydrosensitive material may be useful in providing a visual indication of the saturation and/or moisture level of the speaking valve.

Abstract: A method for controlling alert notifications includes receiving, at an alert notification monitor, notifications from at least one medical device. The method further includes analyzing, at the alert notification monitor, the notifications based on one or more complex triggers to identify at least one triggered notification. The method further includes transmitting the at least one triggered notification.

Abstract: A method for automating physiologic alerts and derived parameters with trending heuristics includes receiving at a mobile patient monitor interface, a first input expression indicative of a first parameter source for first patient parameters from a first medical device from a user. The method further includes receiving, at the mobile patient monitor interface, a second input expression indicative of a second parameter source for second patient parameters from a second medical device from a user. The method further includes applying, at the mobile patient monitor interface, a smoothing operator to the first input expression and the second input expression. The method further includes evaluating, at the mobile patient monitor interface, a complex expression of the first patient parameters and the second patient parameters based on the smoothing operator to initiate display of at least one parameter, derived parameter, trend, or alert on a remote device.

Abstract: A method for automating physiologic alerts with manual values includes receiving at a mobile patient monitor interface, a first input expression indicative of a first parameter source for first patient parameters from a first medical device or input from a user. The method further includes receiving, at the mobile patient monitor interface, a second input expression indicative of a second parameter source for second patient parameters from a second medical device or input from a user. The method further includes evaluating, at the mobile patient monitor interface, a manual input value in the first input expression or the second input expression. The method further includes evaluating, at the mobile patient monitor interface, a complex expression of the first patient parameters and the second patient parameters based on the manual input value to initiate display of at least one alert or derived parameter on a remote device.

Abstract: A method for automating physiologic alerts with precedence order includes receiving at a mobile patient monitor interface, a first input expression indicative of a first parameter source for first patient parameters from a first medical device from a user. The method further includes receiving, at the mobile patient monitor interface, a second input expression indicative of a second parameter source for second patient parameters from a second medical device from a user. The method further includes modifying, at the mobile patient monitor interface, a precedence order of the first parameter source and the second parameter source. The method further includes evaluating, at the mobile patient monitor interface, a complex expression of the first patient parameters and the second patient parameters based on the precedence order to initiate display of at least one parameter, derived parameter, trend, or alert on a remote device.

Abstract: A sensor system is provided for determining a pulse transit time measurement of a patient. The sensor system includes a carotid sensor device configured to be positioned on a neck of the patient over a carotid artery of the patient. The carotid sensor device is configured to detect a plethysmograph waveform from the carotid artery. The sensor system includes a temporal sensor device that is operatively connected to the carotid sensor device. The temporal sensor device is configured to be positioned on the patient over a temporal artery of the patient. The temporal sensor device is configured to detect a plethysmograph waveform from the temporal artery.

Abstract: A PPG system for determining cardiac stability of a patient includes a PPG sensor configured to be secured to an anatomical portion of the patient, wherein the PPG sensor is configured to sense a physiological characteristic of the patient. The PPG system includes a monitor operatively connected to the PPG sensor. The monitor receives a PPG signal from the PPG sensor. The monitor includes a cardiac stability analysis module configured to determine an amplitude variance of the PPG signal over a predetermined time period and configured to determine a pulse period variance of the PPG signal over the time period. The cardiac stability analysis module is configured to determine cardiac stability as a function of the amplitude variance and the pulse period variance.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may generate a first difference signal based on the physiological signal. The system may sort the first difference signal to generate a sorted difference signal. The system may generate a second difference signal based on the sorted difference signal. The system may determine an algorithm setting based on the second difference signal. The algorithm setting may, for example, affect the amount of filtering applied to the physiological signal.

Abstract: A physiological monitoring system may process a physiological signal such a photoplethysmograph signal from a subject. The system may determine physiological information, such as a physiological rate, from the physiological signal. The system may use search techniques and qualification techniques to determine one or more initialization parameters. The initialization parameters may be used to calculate and qualify a physiological rate. The system may use signal conditioning to reduce noise in the physiological signal and to improve the determination of physiological information. The system may use qualification techniques to confirm determined physiological parameters. The system may also use autocorrelation techniques, cross-correlation techniques, fast start techniques, and/or reference waveforms when processing the physiological signal.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may receive a calculated value indicative of a physiological rate. The system may determine a value indicative of noise in the physiological signal and adjust at least one criterion for qualifying or disqualifying the calculated value based on the value indicative of noise. The criterion may, for example, be a threshold and the threshold may be adjusted based on the value indicative of noise. The system may qualify or disqualify the calculated value based on the at least one adjusted criterion.

Abstract: A physiological monitoring system may process a physiological signal such a photoplethysmograph signal from a subject. The system may determine physiological information, such as a physiological rate, from the physiological signal. The system may use search techniques and qualification techniques to determine one or more initialization parameters. The initialization parameters may be used to calculate and qualify a physiological rate. The system may use signal conditioning to reduce noise in the physiological signal and to improve the determination of physiological information. The system may use qualification techniques to confirm determined physiological parameters. The system may also use autocorrelation techniques, cross-correlation techniques, fast start techniques, and/or reference waveforms when processing the physiological signal.

Abstract: A physiological monitoring system may process a physiological signal such a photoplethysmograph signal from a subject. The system may determine physiological information, such as a physiological rate, from the physiological signal. The system may use search techniques and qualification techniques to determine one or more initialization parameters. The initialization parameters may be used to calculate and qualify a physiological rate. The system may use signal conditioning to reduce noise in the physiological signal and to improve the determination of physiological information. The system may use qualification techniques to confirm determined physiological parameters. The system may also use autocorrelation techniques, cross-correlation techniques, fast start techniques, and/or reference waveforms when processing the physiological signal.

Abstract: A system includes a controller that receives a blood pressure signal and an oxygen saturation signal. The blood pressure signal represents a non-invasive measure of blood pressure. The oxygen saturation signal represents a non-invasive measure of oxygen saturation. The controller generates an autoregulation status signal representing a status of cerebral autoregulation. The autoregulation status signal is based, at least in part, on a relationship between the measured blood pressure and the measured oxygen saturation. An exemplary method may include receiving the blood pressure signal and the oxygen saturation signal, defining a relationship between the measured blood pressure and the measured oxygen saturation, determining an autoregulation status based at least in part on the defined relationship, and generating an autoregulation status signal representing the determined autoregulation status.

Abstract: A physiological monitoring system may process a physiological signal such a photoplethysmograph signal from a subject. The system may determine physiological information, such as a physiological rate, from the physiological signal. The system may use search techniques and qualification techniques to determine one or more initialization parameters. The initialization parameters may be used to calculate and qualify a physiological rate. The system may use signal conditioning to reduce noise in the physiological signal and to improve the determination of physiological information. The system may use qualification techniques to confirm determined physiological parameters. The system may also use autocorrelation techniques, cross-correlation techniques, fast start techniques, and/or reference waveforms when processing the physiological signal.

Abstract: A physiological monitoring system may process a physiological signal such a photoplethysmograph signal from a subject. The system may determine physiological information, such as a physiological rate, from the physiological signal. The system may use search techniques and qualification techniques to determine one or more initialization parameters. The initialization parameters may be used to calculate and qualify a physiological rate. The system may use signal conditioning to reduce noise in the physiological signal and to improve the determination of physiological information. The system may use qualification techniques to confirm determined physiological parameters. The system may also use autocorrelation techniques, cross-correlation techniques, fast start techniques, and/or reference waveforms when processing the physiological signal.

Abstract: A system includes a controller that receives a physiological signal representing a non-invasive measure of a physiological parameter. The controller applies a compliance metric to the physiological signal and generates an autoregulation status signal that indicates a status of cerebral autoregulation in the patient. The autoregulation status signal is based at least in part on the compliance metric applied to the physiological signal.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may receive a calculated value indicative of a period associated with a physiological rate. The system may determine a first value indicative of a baseline of the physiological signal and a second value indicative of a deviation of the physiological signal from the baseline. The first value may, for example, be a median value, an average, or a coefficient corresponding to a best fit curve of the physiological signal. The second value may be a standard deviation value, a standard error, or a root mean square value based on the physiological signal. The system may qualify or disqualify the calculated value based on the first and second values.

Abstract: A physiological monitoring system may process a physiological signal such a photoplethysmograph signal from a subject. The system may determine physiological information, such as a physiological rate, from the physiological signal. The system may use search techniques and qualification techniques to determine one or more initialization parameters. The initialization parameters may be used to calculate and qualify a physiological rate. The system may use signal conditioning to reduce noise in the physiological signal and to improve the determination of physiological information. The system may use qualification techniques to confirm determined physiological parameters. The system may also use autocorrelation techniques, cross-correlation techniques, fast start techniques, and/or reference waveforms when processing the physiological signal.

Abstract: A physiological monitoring system may process a physiological signal such a photoplethysmograph signal from a subject. The system may determine physiological information, such as a physiological rate, from the physiological signal. The system may use search techniques and qualification techniques to determine one or more initialization parameters. The initialization parameters may be used to calculate and qualify a physiological rate. The system may use signal conditioning to reduce noise in the physiological signal and to improve the determination of physiological information. The system may use qualification techniques to confirm determined physiological parameters. The system may also use autocorrelation techniques, cross-correlation techniques, fast start techniques, and/or reference waveforms when processing the physiological signal.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may receive a calculated value indicative of a physiological rate. Based on the value, the system may select pairs of values of the physiological signal that are particularly spaced. The system may determine a state for each pair of values. The state may correspond to a set of criteria such as, for example, equalities, inequalities, logical operators, or other criteria. The system may determine a number of state transitions based on the determined states, and qualify or disqualify the calculated value based on the number of state transitions.