Nellcor Puritan Bennett Ireland

Covidien LP

Cardiodigital Limited

Nellcor Puritan Bennett Incorporated

Vsm Medtech Ltd.

Rakesh Sethi

James Nicholas Watson

Paul Stanley Addison

Luya Li

Ming Sun

Paul A Edney

Yong Liu

Alexander Yuk Sit

Daniel M Lisogurski

Yunquan Chen

Keith Manning

Christopher Grant Denny

Shannon Eleanor Campbell

Scott Phillips

Robert Stoughton

A system includes a monitor configured to be coupled to multiple sensors over time to monitor one or more physiological characteristics of one or more patients, and including an information collection system configured to store in a database unique sensor identifying information and information related to plural uses of the same sensor.

Systems and methods for storing data on medical sensors

A system includes a monitor configured to be coupled to multiple sensors over time to monitor one or more physiological characteristics of one or more patients. A first sensor of the multiple sensors includes a sensor memory, and the monitor is configured to transfer information to the first sensor for storage in the sensor memory of the first sensor. The information includes information related to one or more sensors of the multiple sensors that were coupled to the monitor prior to the first sensor.

A blood pressure measurement system is configured to perform a calibration automatically when a calibration condition is satisfied. The calibration condition is based upon one or more parameters of pulse waves of a subject. The parameters may include pulse wave area; a time difference between systolic peak and reflected wave peak or dichrotic notch in the pulse wave and a shape of at least a portion of the pulse wave.

Continuous non-invasive blood pressure measurement apparatus and methods providing automatic recalibration

The present disclosure provides a sensor with color-coded indications that various patient physiological parameters are being monitored, such as blood oxygen saturation, blood pressure, respiration rate, and respiration effort. The sensor may sense a physical characteristic used to monitor the physiological parameter, and a visible light emitter emits visible light of a first color that is color-coded to the physiological parameter, but is not used to sense the physical characteristic. The visible light emitter may emit visibly flashing light in response to the sensor sensing a threshold value of the physical characteristic. The sensor may include a second light emitter that may sense the physical characteristic, and may emit light of a second color that is color-coded to a first or second physiological parameter. In some embodiments, the first and second colors may visibly mix. The first and second visible light emitters may emit light independently, including visibly flashing light.

Using colored probes in patient monitoring

Systems and methods are disclosed herein for maintaining the calibration of non-invasive blood pressure monitoring devices. Phase components of pulse signals detected by the blood pressure monitoring device are compared to stored baseline phase component values. If the difference exceeds a threshold, the blood pressure monitoring device is recalibrated.

Systems and methods for maintaining blood pressure monitor calibration

Systems and methods are provided for storing event markers. The value of a monitored physiological metric may be monitored and compared to a reference value. A patient monitoring system may compute a difference between a monitored metric and a reference value, and compare the difference to a threshold value to determine whether a physiological event has occurred. Based on the determination, a patient monitoring system may store an event marker, trigger a response, update a metric value, or perform any other suitable function.

Systems and methods for physiological event marking

Techniques for detecting sleep events are disclosed. In some embodiments, a continuous non-invasive blood pressure ('CNIBP') monitoring system may be used to obtain blood pressure values from a subject during a sleep study. Changes in the blood pressure over time may be determined and analyzed in order to identify a sleep event. The localized blood pressure changes may be interpreted in isolation or in combination with other signals collected from the subject.

Detecting sleep events using localized blood pressure changes

Systems and methods are provided for determining when to update a blood pressure measurement. The value of a physiological metric may be monitored and compared to a reference value. A patient monitoring system may compute a difference between a monitored metric and a reference value, and compare the difference to a threshold value to determine whether to update a blood pressure measurement. The threshold value may be constant or variable, and may depend on the monitored metric.

Systems and methods for determining when to measure a physiological parameter

The present disclosure relates to monitoring a characteristic physiological parameter of a patient during a suitable time period that either precedes or follows a triggering event, such as a clinician/patient interaction, that may negatively impact the physiological parameter. In some embodiments, physiological parameter values falling between one or more pre-set thresholds may be used to derive the characteristic physiological parameter. In some embodiments, tracking the physiological parameter may provide additional information about the patient's status. In some embodiments, confidence measures may be associated with, or may be used to analyze features of the patient signal to derive information about, the characteristic physiological parameter. The patient signal used to derive a patient's physiological parameter may be of an oscillatory nature or may include oscillatory features that may be analyzed to derive a characteristic blood pressure or a characteristic respiration rate.

Determining a characteristic physiological parameter

Systems and methods are provided for monitoring a correlation between heart rate and blood pressure in a patient. When a characteristic of the correlation exceeds a threshold, a patient status indicator signal is sent to a monitoring device. In some embodiments, the patient status indicator signal indicates a particular medical condition or alerts a care provider to a change in status. In some embodiments, the heart rate signal is used to improve a blood pressure estimate generated by a different signal. In some embodiments, the heart rate, blood pressure and correlation signals are used in a predictive mathematical model to estimate patient status or outcome.

Systems and methods for monitoring heart rate and blood pressure correlation

The present disclosure relates to systems and methods for monitoring pain management using measurements of physiological parameters based on a PPG signal. A reference physiological parameter may be compared against a later measurement to identify a change in condition that may indicate a pain management problem.

Systems and methods for monitoring pain management

According to embodiments, systems and methods for non-invasive blood pressure monitoring are disclosed. An exciter may induce perturbations in a subject, and a sensor or probe may be used to obtain a detected signal from the subject. The detected signal may then be used to measure one or more physiological parameters of the patient. For example if the perturbations are based on a known signal, any differences between the known signal and the input signal may be attributable to the patient's physiological parameters. A phase drift between the perturbation signal and the detected signal may be determined from a comparison of the scalograms of the exciter location and the sensor or probe location. From the scalogram comparison, more accurate and reliable physiological parameters may be determined.

Systems and methods using induced perturbation to determine physiological parameters

The present disclosure relates to systems and methods for analyzing and normalizing signals, such as PPG signals, for use in patent monitoring. The PPG signal may be detected using a continuous non-invasive blood pressure monitoring system and the normalized signals may be used to determine whether a recalibration of the system should be performed.

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Vancouver, Canada

Rakesh Sethi