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 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 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 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 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 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 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 physiological data. The system may condition the physiological data to assist in the determination of the physiological information. The system may calculate differences based on the physiological data and identify differences that exceed a threshold. The calculated differences may, for example, be a derivative signal. The system may modify the physiological data based on the identified differences. The modification may include reducing, or otherwise limiting, some differences between adjacent values in the physiological data.

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, and other information, such as signal-to-noise information, from a physiological signal. The system may generate at least one difference signal based on the physiological signal and sort the at least one difference signal to generate at least one sorted difference signal. The system may analyze the at least one sorted difference signal to determine at least two values indicative of noise. The system may determine a value indicative of a signal-to-noise ratio based on the two or more values indicative of noise.

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. The system may generate and sort multiple difference signals based on the physiological signal. The system may analyze a first sorted difference signal and a second sorted difference signal to determine at least one first metric, and analyze a third sorted difference signal and a fourth sorted difference signal to determine at least one second metric. The system may qualify or disqualify the calculated value based on the at least one first and second metrics. The segments used to generate the third and fourth sorted difference signals may, for example, be subsets of the segments used to generate the first and second sorted difference signals.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may filter the physiological signal based on an adjustable filter to generate a filtered physiological signal. The system may perform calculations over time based on the filtered physiological signal to determine values indicative of a physiological parameter. The adjustable filter may be adjusted based on the values indicative of the physiological parameter. Some of the calculations are qualified and some of the calculations are disqualified. The system may determine a metric based on the physiological signal that is used to determine whether to output a value based on one or more previously calculated values when a current calculation is disqualified. The system may output a value based on one or more previously calculated values when a current calculation is disqualified and when a criterion based on the metric is satisfied.

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 generate value pairs from a first collection of values of the physiological signal and another collection of corresponding value of the physiological signal spaced from the first collection based on the calculated value. The system may determine a best fit linear relationship based on the value pairs and determine at least one statistical metric based on the linear relationship and the value pairs. The system may qualify or disqualify the calculated value based on the at least one statistical metric.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may condition the physiological signal to assist in the determination of the physiological information. The system may generate a positive signal and a negative signal based on respective positive and negative values of the physiological signal. The system may filter the positive and negative signals, combine the filtered signals, and modify the physiological signal based on the combined signal. The physiological signal may be modified, for example, by subtracting the combined signal from the physiological signal.

Abstract: A system is provided including a ventilator detection module, a circulatory detection module, and an analysis module. The ventilator detection module is configured to detect ventilator information representative of a ventilation activity. The circulatory detection module is configured to detect circulatory information representative of the circulation of the patient. The analysis module is configured to obtain a ventilator waveform based at least in part on the ventilator information, obtain a circulatory waveform based at least in part on the circulatory information, combine the ventilator waveform and the circulatory waveform to provide a mixed waveform, and isolate a portion of the mixed waveform to identify a ventilator responsiveness waveform representative of an effect of the ventilator.