Abstract: In one embodiment, a system may include a gas turbine system. the gas turbine system includes a gas turbine, an after-treatment system that may receive exhaust gases from the gas turbine system, and a controller that may receive inputs and model operational behavior of an industrial plant based on the inputs. The industrial plant may include the gas turbine and the after-treatment system. The controller may also determine one or more operational parameter setpoints for the industrial plant, select the one or more operational parameter setpoints that reduce an output of a cost function, and apply the one or more operational parameter setpoints to control the industrial plant.

Abstract: A method of prioritizing arrhythmia alarms based on one patient's perfusion level includes receiving arterial blood pressure, electrocardiogram heart rate, and arterial pulse rate values of the one patient during a same time window. Analyzing the set of blood pressure values to determine if an arrhythmia event is indicated, where if an arrhythmia event is indicated, the method includes calculating a systolic blood pressure (SBP) ratio, comparing the SBP ratio to a first predetermined threshold, and if the SBP ratio is less than or equal to the first predetermined threshold, then activating a non-perfusion alarm. If the SBP ratio is greater than the first predetermined threshold, then calculating a standard deviation of a rate differential between the heart rate and the pulse rate values, and if the standard deviation is greater than a second predetermined threshold, then activating the non-perfusion alarm. A system and non-transitory computer media is also presented.

Abstract: A method for determining a respiration rate of a subject, includes receiving a first signal and a second signal, each signal being representative of a physiological parameter of the subject. The method includes removing a cardiac artifact signal from the first signal and the second signal to generate a first processed signal and a second processed signal respectively. The method includes removing a motion artifact signal from the first processed signal and the second processed signal to generate a first periodic signal and the second processed signal respectively. The method further includes removing a residual noise signal from the first periodic signal and the second periodic signal to generate a first noise free signal and the second noise free signal respectively. The method includes generating a combined value from a first value and a second value based on the first noise free signal and the second noise free signal respectively.

Abstract: A method includes receiving a first patient data and a second patient data for a time period, wherein the first patient data and the second patient data are measured from a patient. Further, the method includes identifying a plurality of segmented trends in the first patient data and the second patient data as one of an uptrend, a downtrend, and neutral. Furthermore, the method includes classifying at least one segmented trend from the plurality of segmented trends as a pattern. Additionally, the method includes triggering an alarm as an early warning of patient distress based on the pattern.

Abstract: A monitoring or diagnostic device including a display having a display screen on which incoming data from sensors attached to the item or object being monitored by the device is illustrated. The incoming data is represented on the display screen to enable an individual viewing the display screen to determine the current operating condition or parameters of the item or object, such as a patient. The device and display screen can also illustrate various alarm conditions or events, as determined by the device to draw the attention of the individual to those alarm conditions. To assist in this function, the device represents the incoming data from a sensor giving rise to the alarm condition or event, as well as additional incoming data from other sensors corresponding in some manner to the alarm condition, on the display screen in a visually different or distinct manner from the rest of the incoming data not relating to the alarm condition or event.

Abstract: A method and system for generating a patient condition index. The method and system receive and analyze physiological parameters (PP) of a patient to generate a PP related risk indicator. The method and system access and analyze data from a patient history (PH) database to generate PH related risk indicator. The method and system acquire parameter risk definitions and generate a synthetic informatics signal combining the PP related risk indicator and the PH related risk indicator according to the parameter risk definitions, and display the synthetic informatics signal on a display.

Abstract: A system for monitoring respiration, and a method for determining respiration rate, is disclosed. In one embodiment, the respiration rate is determined from a power spectral density template that is updated, or not, based on whether a power spectral density for a current window of in-band filtered impedance respiration signal is determined to be noisy or not.

Abstract: A method of prioritizing arrhythmia alarms based on one patient's perfusion level includes receiving arterial blood pressure, electrocardiogram heart rate, and arterial pulse rate values of the one patient during a same time window. Analysing the set of blood pressure values to determine if an arrhythmia event is indicated, where if an arrhythmia event is indicated, the method includes calculating a systolic blood pressure (SBP) ratio, comparing the SBP ratio to a first predetermined threshold, and if the SBP ratio is less than or equal to the first predetermined threshold, then activating a non-perfusion alarm. If the SBP ratio is greater than the first predetermined threshold, then calculating a standard deviation of a rate differential between the heart rate and the pulse rate values, and if the standard deviation is greater than a second predetermined threshold, then activating the non-perfusion alarm. A system and non-transitory computer media is also presented.

Abstract: Embodiments of the disclosure are directed to a system for analysis of respiratory distress in hospitalized patients. The system performs multi-parametric simultaneous analysis of respiration rate (RR) and pulse oximetry (SpO2) data trends in order to gauge patterns of patient instability pertaining to respiratory distress. Three patterns in SpO2 and RR are used along with LOWESS algorithm and Chauvenets criteria for outlier rejection to obtain robust short term and long term trends in RR and SpO2. Pattern analysis detects the presence of any one of three pattern types proposed. Further, a learning paradigm is introduced to find unknown instances of respiratory distress. This algorithm in conjunction with the learning model allows early detection of respiratory distress in hospital ward and ICU patients.

Abstract: A method of operating capacitor banks includes obtaining a reactive power shortage curve forecast for a time period. At least one capacitor bank power schedule curve is generated to supply reactive power to the power grid during the time period. The at least one capacitor bank power schedule curve is updated to generate an optimized capacitor bank power schedule curve to reduce the area between the reactive power shortage curve and the capacitor bank power schedule curve. The method also includes providing switching signal commands for operating capacitor banks based on the optimized capacitor bank power schedule curve.

Abstract: A power forecasting module determines a load forecast of a distribution system (DS) and a power generation forecast of distributed energy resources (DERs) A demand response (DR) module estimates an available DR based on the load and the power generation forecast and modifies the load forecast by dispatching an optimal DR. An energy storage commitment module determines a charging/discharging schedule of energy storage devices in the system based on the modified load profile and generates a second load profile by incorporating the charging/discharging schedule of energy storage devices. An unit commitment (UC) module determines a DER schedule of supplying electrical power to the loads in the second load profile based on a first objective function. An economic dispatch (ED) module determines an optimum operating point for each DER and an Integrated Volt-VAR Control (IVVC) module controls distribution assets to maintain a voltage profile in the system.

Abstract: A method is presented. The method includes determining a plurality of temporal training features corresponding to one or more hemodynamic parameters of a plurality of elected-patients based upon temporal training signals representative of the one or more hemodynamic parameters, and generating an acute hypotension prediction classifier based upon the plurality of temporal training features corresponding to the one or more hemodynamic parameters of the plurality of elected-patients, wherein the plurality of temporal training features comprises covariance between two or more of the temporal training signals corresponding to the one or more hemodynamic parameters.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for controlling voltage and reactive power in a distribution network. One method includes estimating at least one present state associated with a distribution network; allocating one or more load zones in the distribution network; predicting load profiles of each zone for a predetermined time period; determining capacitor bank switching schedules for a predetermined time period based at least in part on the at least one present state and the predicted load profiles; and switching capacitor banks according to the capacitor bank switching schedules.

Abstract: An electrocardiogram (ECG) monitoring system configured to determine an index that comprises a set of indicators, where each indicator is indicative of a level of signal quality in an ECG lead. Further, the ECG monitoring system assigns a first indicator from the set of indicators to a first ECG lead signal and communicates the first indicator to a user.

Abstract: A system for determining onset of an acute hypotensive episode, the system includes a plurality of collectors configured to determine heart rate, mean arterial pressure, stroke volume, total peripheral resistance, and/or age of a patient, an estimate model configured to receive data from the collectors, a simulate model configured to receive information from the estimate model to simulate operation of an effector portion and a neural portion of an arterial baroreceptor reflex pathway, and a prediction model configured predict onset of an acute hypotensive episode based on results from the simulate model. A method and a computer software code for determining onset of an acute hypotensive episode are also disclosed.

Abstract: Methods, systems and non-transitory computer readable mediums that store instructions executable by one or more processors to perform a method for detecting a fallen person are presented. The present technique includes identifying a reference plane and a reference line in a designated space monitored using one or more range-controlled radars. These radars are coupled to one or more antennas configured to define fields of the range-controlled radars to one or more portions of the designated space, where at least one portion corresponds to the reference plane. The range-controlled radars detect presence of one or more parameters corresponding to a subject disposed in the designated space. The parameters, for example, include one or more physiological parameters and one or more motion parameters. The range-controlled radars then identify the subject as the fallen person if the one or more physiological parameters corresponding to the subject are detected proximate the reference plane.

Abstract: A power forecasting module determines a load forecast of a distribution system (DS) and a power generation forecast of distributed energy resources (DERs). A demand response (DR) module estimates an available DR based on the load and the power generation forecast and modifies the load forecast by dispatching an optimal DR. An energy storage commitment module determines a charging/discharging schedule of energy storage devices in the system based on the modified load profile and generates a second load profile by incorporating the charging/discharging schedule of energy storage devices. An unit commitment (UC) module determines a DER schedule of supplying electrical power to the loads in the second load profile based on a first objective function. An economic dispatch (ED) module determines an optimum operating point for each DER and an Integrated Volt-VAR Control (IVVC) module controls distribution assets to maintain a voltage profile in the system.

Abstract: A method of operating a tap changer of a transformer or a voltage regulator in a power grid includes obtaining a load forecast for a time period. An average voltage profile is determined for the time period based on the load forecast. The method further includes estimating tap positions of the tap changer for leveling the average voltage profile during the time period. Switching signal commands are provided to the tap changer based on the estimated tap positions.

Abstract: A method for determining a self-healing power grid status is presented. The method includes receiving respective real-time monitoring data corresponding to one or more power grid components, wherein one or more agents are coupled to the power grid components. The method includes the steps of determining a respective current infectiousness state based upon the received respective real-time monitoring data, determining respective output data based upon the respective current infectiousness state, exchanging the respective output data with one or more neighboring agents, and generating a respective new infectiousness state based upon the respective exchanged output data and a state transition diagram.

Abstract: Methods, systems and non-transitory computer readable mediums that store instructions executable by one or more processors to perform a method for detecting a fallen person are presented. The present technique includes identifying a reference plane and a reference line in a designated space monitored using one or more range-controlled radars. These radars are coupled to one or more antennas configured to define fields of the range-controlled radars to one or more portions of the designated space, where at least one portion corresponds to the reference plane. The range-controlled radars detect presence of one or more parameters corresponding to a subject disposed in the designated space. The parameters, for example, include one or more physiological parameters and one or more motion parameters. The range-controlled radars then identify the subject as the fallen person if the one or more physiological parameters corresponding to the subject are detected proximate the reference plane.