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 noise information, from a physiological signal. The system may generate a difference signal based on the physiological signal and sort the difference signal to generate a sorted difference signal. The system may determine slope values for multiple segments of the sorted difference signal. The system may determine two end groups of the segments and determine at least one threshold based on the end groups. One or more end data points of the sorted difference signal may be identified as being associated with noise based on the at least one threshold. The system may determine a value indicative of noise based on the identified data points.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may generate a window of physiological data, and determine the physiological information based on the window of data. The system may use status indicators to determine when the window of data is to be updated with new data. The status indicator may include, for example, a gain change indicator, indicating a change in gain in an amplifier. Based on the status indicator, the system may, for example, set a period of time during which current physiological data is not added to the window of data. The system may smooth the transition of the physiological data before and after the period of time.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, and other information, such as noise information, from a physiological signal. The system may generate a difference signal based on the physiological signal and sort the difference signal to generate a sorted difference signal. The system may identify one or more data points of the sorted difference signal as being associated with noise. For example, one or more end data points may be identified as being associated with noise based on a threshold. The system may determine a value indicative of noise based on the identified data points.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may generate a difference signal based on the physiological signal. The system may determine positive areas associated with positive regions of the difference signal and negative areas associated with negative regions of the difference signal. The system may determine area ratios based on adjacent positive and negative regions of the difference signal. The system may determine an algorithm setting based on the area ratios. The algorithm setting may, for example, affect the amount of filtering 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 determine a skew metric based on the physiological signal. The system may determine an algorithm setting based on a reference relationship between the determined skew metric and a value indicative of a physiological rate. 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 difference values between 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 sum the difference values, and qualify or disqualify the calculated value based on the sum. The difference values may have positive and negative values, or the system may calculate an absolute value of each difference value prior to summing. The sum may be compared to a threshold to determine whether to qualify or disqualify the calculated value.

Abstract: A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may apply a bandpass filter to the physiological signal to assist in the determination of the physiological information. The system may determine a value indicative of a physiological rate and a metric based on the physiological signal. The system may select one or more settings, such as the center frequency and bandwidth, of the bandpass filter based on the rate and based on the metric, and apply the bandpass filter 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 generate a correlation sequence between two segments of the physiological signal at multiple correlation lag values. The system may compare the correlation sequence to a predetermined threshold, which may vary as a function of lag. Based on the comparison, the system may determine whether the correlation sequence value exceeds the threshold, and whether the correlation sequence value corresponds to a peak. The system may identify a lag value when the correlation sequence corresponding to the lag value exceeds the threshold and corresponds to a peak. The system may determine physiological rate information based on the identified lag value.

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 condition the physiological signal to assist in the determination of the physiological information. The system may generate a difference signal based on the physiological signal and sort the difference signal. The system may identify values in the sorted difference signal that exceed a threshold, and modify the physiological signal based on the identified values. The modification may include reducing, or otherwise limiting, some differences between adjacent values in the physiological signal.

Abstract: A thermal storage device (1) for storing and maintaining a body (5), such as liquid, at a constant storage temperature different to a temperature external (1?) to such device, comprises: a container (4) for containing this body at the constant storage temperature; and a thermal source (3) for compensating heat transfer resulting from a thermal gradient between the external temperature and the constant storage temperature. The thermal source comprises a mass (31) for accumulating thermal energy and for transferring heat from or to the container to compensate said heat transfer resulting from the thermal gradient and maintain the body at the constant storage temperature.

Abstract: The present invention relates to a non-invasive method for surveilling mixing and separation of a suspension in an analytical system using solid phase particles for separation of an analyte by measuring particle distribution with a camera attached to a pipetting device.