Abstract: The present invention relates to a method of automatic labeling of activity of a subject on ECG data. The method of the invention comprises acquiring at least one physiological input signal purporting to an ECG signal and processing thereof. The processing of the at least one physiological input signal comprises conditioning the ECG signal and processing thereof, wherein the processing comprises obtaining respiration data from the ECG signal, identifying the activity pertaining to the said ECG data based on at least a signal specific feature of the said ECG signal, wherein the respiration data are used for differentiating activities performed by the subject, and labeling the said ECG data with the said activity, automatically. The present invention also relates to a system for automatic labeling of activity on ECG data in accordance with the method of the invention.

Abstract: A system to generate medical monitor alarm settings (10) which includes a normative analyzer (36) and/or observational analyzer (48) configured to receive (130) data from logs (32, 34) of a plurality of medical monitors (12), and generate (134, 138) one or more suggested alarm settings (26) based on a constructed model of the received log data.

Abstract: In a medical monitoring system, one or more biometric monitors collect data of a plurality of monitored biometric parameters. An expression evaluator evaluates a user-defined expression incorporating one or more of the monitored biometric parameters to generate data for a user-defined biometric parameter. A further processing component performs processing and display of data of at least one parameter selected from the monitored biometric parameters and the user-defined biometric parameter. The further processing component operates in the same way regardless of whether the at least one parameter is selected from the monitored biometric parameters or the user-defined biometric parameter.

Abstract: The present invention relates to a method of automatic labeling of activity of a subject on ECG data. The method of the invention comprises acquiring at least one physiological input signal purporting to an ECG signal and processing thereof. The processing of the at least one physiological input signal comprises conditioning the ECG signal and processing thereof, wherein the processing comprises obtaining respiration data from the ECG signal,identifying the activity pertaining to the said ECG data based on at least a signal specific feature of the said ECG signal, wherein the respiration data are used for differentiating activities performed by the subject,and labeling the said ECG data with the said activity, automatically. The present invention also relates to a system for automatic labeling of activity on ECG data in accordance with the method of the invention.

Abstract: A system (10) and method to identify motion artifacts. Measurements of a physiological parameter of an associated patient are received from a probe (12) positioned on or proximate to the associated patient. Further, measurements of acceleration are received from an accelerometer (26) positioned on, proximate to, or integrated with the probe (12). Measurements of the physiological parameter are labeled based on the measured acceleration, such as being with or without motion.

Abstract: A workflow system includes a workflow unit (8), a location unit (10), and a display device (12). The workflow unit (8) identifies and tracks patient assessment and patient vital signs for a plurality of patients each assigned to at least one caregiver according to a schedule for each patient. The location unit (10) receives a location of each assigned caregiver and a location of each patient. The display device (12) displays grouped, caregiver centric, acuity adapted, clinical data, and crucial timing information for each patient in a consistent format as well as a name and the location of the patient, a caregiver name and the caregiver location for each assigned caregiver.

Abstract: A system (38) and a method (150) for optimization of alarm settings of a clinical alarm algorithm. Clinical monitoring data (CMD) employed by the clinical alarm algorithm is acquired over a user-defined period of time. Proposed settings are determined for one or more parameters of the clinical alarm algorithm. The clinical monitoring algorithm is applied to the acquired CMD with the proposed settings to determine regeneration results predicting alarm load for different combinations of the proposed settings.

Abstract: An apparatus (10) for predicting patient respiratory stability includes a patient data memory (24) which stores patient data for a patient (12) and an analyzer (34) in communication with the memory computes a measure of patient respiratory stability. The analyzer applies one or more rules to the patient data that are based on a plurality of parameters which in combination, have been identified as being predictive of patient respiratory instability, such as mean airway pressure (MAWP), plateau pressure (PP), arterial oxygen saturation (SaO2 or SpO2), and heart rate (HR). Based on the application of the rules, the analyzer determines the measure of patient respiratory stability.

Abstract: A medical system (10) and method monitor a patient. Patient data for the patient received. The patient data includes vital sign measurements and laboratory results. A vital signs instability index (VIX) regarding a physiological condition of the patient is calculated from the received vital sign measurements. A laboratory instability index (LIX) regarding the physiological condition is calculated from the received laboratory results. The VIX and the LIX are integrated into an indicator of patient deterioration.

Abstract: A system for generating a role-based user interface includes a patient information database which stores patient data relating to a plurality of patients being treated by one or more caregivers. A caregiver information system stores caregiver data relating to the role, status, and location of the one or more caregivers. A decision support system evaluates the patient data and caregiver data and generates a role-based user interface displaying the most clinically meaningful information to the one or more caregivers based on the evaluation of the patient data and caregiver data.

Abstract: A system to generate medical monitor alarm settings (10) which includes a normative analyzer (36) and/or observational analyzer (48) configured to receive (130) data from logs (32, 34) of a plurality of medical monitors (12), and generate (134, 138) one or more suggested alarm settings (26) based on a constructed model of the received log data.

Abstract: A system (202) generates patient alarms using a stepped alarm scheme. The system (202) includes one or more processors (220) programmed to receive physiological scores and/or physiological parameter values; compare the physiological scores and/or the physiological parameter values to a plurality of alarm levels; in response to a physiological score and/or physiological parameter value falling within an uninhibited zone of the alarm levels, issue an alarm; and set a first inhibition period for the uninhibited alarm level after issuing the alarm.

Abstract: In a patient monitoring system (10), shorter interval physiological parameters and longer interval clinical data are collected from a monitored patient (12). A composite acuity score generator (70) generates or updates a composite acuity score indicative of wellbeing of the patient (12) based at least on the sensed physiological parameters and the longer interval data. A monitor (22, 56) displays current values of at least one of selected sensed physiological parameters, longer interval data, and the composite acuity score.

Abstract: A workflow system includes a workflow unit (8), a location unit (10), and a display device (12). The workflow unit identifies (8) identifies and tracks patient assessment and patient vital signs for a plurality of patients each assigned to at least one caregiver according to a schedule for each patient. The location unit (10) receives a location of each assigned caregiver and a location of each patient. The display device (12) displays grouped, caregiver centric, acuity adapted, clinical data, and crucial timing information for each patient in a consistent format as well as a name and the location of the patient, a caregiver name and the caregiver location for each assigned caregiver.

Abstract: A system (10) and method to identify motion artifacts. Measurements of a physiological parameter of an associated patient are received from a probe (12) positioned on or proximate to the associated patient. Further, measurements of acceleration are received from an accelerometer (26) positioned on, proximate to, or integrated with the probe (12). Measurements of the physiological parameter are labeled based on the measured acceleration, such as being with or without motion.

Abstract: In a medical monitoring system, one or more biometric monitors collect data of a plurality of monitored biometric parameters. An expression evaluator evaluates a user-defined expression incorporating one or more of the monitored biometric parameters to generate data for a user-defined biometric parameter. A further processing component performs processing and display of data of at least one parameter selected from the monitored biometric parameters and the user-defined biometric parameter. The further processing component operates in the same way regardless of whether the at least one parameter is selected from the monitored biometric parameters or the user-defined biometric parameter.

Abstract: A medical system (10) and method monitor a patient. Patient data for the patient received. The patient data includes vital sign measurements and laboratory results. A vital signs instability index (VEX) regarding a physiological condition of the patient is calculated from the received vital sign measurements. A laboratory instability index (LIX) regarding the physiological condition is calculated from the received laboratory results. The VEX and the LIX are integrated into an indicator of patient deterioration.

Abstract: A clinical decision support system (16) monitors one or more patients. The system (16) includes one or more processors (84) programmed to receive patient data for the patients. For each patient, one or more monitoring rules are selected from a plurality of monitoring rules based on patient data availability and/or patient context. A determination is made as to whether a patient is deteriorating using the selected monitoring rules for the patient. In response to determining the patient is deteriorating, an alert is generated.

Abstract: Medical vital signs (110) are captured, recorded, processed, and a signal quality assessment (160) is computed based on signal waveform components such as slope, amplitude, time to rise, time at peak, and degree to which signal peaks (420) and valleys (430). The signal assessment (160) may be used as a basis for rating the quality (130) of the underlying vital signal, to increase the quality of the signal by removing noisy segments and physiologically impossible peaks (42) and valleys (434), to detect a parameter value (120), to label a waveform (140), or to prompt an alarm (550) to indicate the signal has reached a critical level and issue a warning to the user of the vital data. The signal and the assessment are stored in an indexed, searchable data storage memory (590) from which the signals may be retrieved and displayed (300).

Abstract: A system (202) generates patient alarms using a stepped alarm scheme. The system (202) includes one or more processors (220) programmed to receive physiological scores and/or physiological parameter values; compare the physiological scores and/or the physiological parameter values to a plurality of alarm levels; in response to a physiological score and/or physiological parameter value falling within an uninhibited zone of the alarm levels, issue an alarm; and set a first inhibition period for the uninhibited alarm level after issuing the alarm.