Abstract: Abstract: A traumatic brain injury (“TBI”) guideline system employing a patient monitoring sensor (30) and a patient monitoring device (10). In operation, the patient monitoring sensor (30) generates data for monitoring a TBI parameter of a patient (e.g., systolic blood pressure, blood oxygen saturation or carbon dioxide expiration of the patient), and the patient monitoring device (10) generates a TBI indicator derived from a comparison of the TBI parameter data to parameter guideline data associated with a poten -tial TBI of the patient. The patient monitoring device (10) may include a patient data monitor module (17a) to monitor the TBI parameter data, and a TBI monitor module (17b) to generate the TBI indicator. The TBI indicator is informative of a TBI status of the patient (e.g., a hypotension status, a hypoxia status or a ventilation status of the patient), and/or a TBI treatment for the patient (e.g., a ventilation treatment for the patient).

Abstract: A traumatic brain injury (“TBI”) guideline system employing a patient monitoring sensor (30) and a patient monitoring device (10). In operation, the patient monitoring sensor (30) generates data for monitoring a TBI parameter of a patient (e.g., systolic blood pressure, blood oxygen saturation or carbon dioxide expiration of the patient), and the patient monitoring device (10) generates a TBI indicator derived from a comparison of the TBI parameter data to parameter guideline data associated with a potential TBI of the patient. The patient monitoring device (10) may include a patient data monitor module (17a) to monitor the TBI parameter data, and a TBI monitor module (17b) to generate the TBI indicator. The TBI indicator is informative of a TBI status of the patient (e.g., a hypotension status, a hypoxia status or a ventilation status of the patient), and/or a TBI treatment for the patient (e.g., a ventilation treatment for the patient).

Abstract: Automated analysis and interpretation of spirograms is provided to assess lung function of a subject. If the shape of a spirogram plot is deemed suitably reliable, the spirogram may be subsequently used for diagnostic purposes. Quality control of spirograms and/or interpretation of reliable spirograms may use shape templates corresponding to common test problems and/or typical lung diseases.

Abstract: In various embodiments, a plurality of inputs for a CDS algorithm that is executable by one or more processors may be identified (602). A plurality of health parameters associated with a patient-of-interest may be obtained (604) for use as at least some of the plurality of inputs for the CDS algorithm. One or more of the plurality of inputs for which a corresponding health parameter associated with the patient is out-of-date or unavailable may be identified as suboptimal (606). The CDS algorithm may then be executed (616) using the plurality of health parameters as input. Output indicative of a result of the CDS algorithm may be rendered (618). In various embodiments, the output may present at least one data point associated with the suboptimal one or more inputs more conspicuously than one or more data points associated with other inputs, e.g., using visual or audible annotations.

Abstract: Various embodiments described herein relate to methods and apparatuses for providing patient- specific clinical decision support. Operators such as medical personnel or the like rely on clinical decision support (CDS) procedures to assist in providing healthcare for patients. By activating relevant procedures and deactivating non-relevant procedures for specific patients, operators are less distracted and can more effectively provide healthcare for patients.

Abstract: A monitoring device having a capnography capability employs a ventilation monitoring controller including a capnography monitor and a respiration monitor (21) for determining between a non-hyper-ventilating ventilation being applied to a patient and a hyperventilating ventilation being applied to the patient. In operation, the capnography monitor (20) analyzes a capnography waveform of the patient.

Abstract: Immediately after airway placement and/or following any patient transfer, an automated program may be activated in a CO2 monitoring device to provide an airway device placement check. The automated program needs time to determine if the airway placement has been successful or not. During analysis of CO2 respiration data by the program, real-time feedback is displayed to the user as soon as the airway check program is activated until the time that a final decision on the success of airway placement is made. The real-time feedback displays one or more indicators of the progress of the program toward a determination of a successful or failed placement.

Abstract: A defibrillator and method that uses ECG signals from limb lead electrodes for display and monitoring, even when a separate set of therapy pads are present at the patient. The limb lead ECG signal is used for display and to determine whether electrotherapy is necessary. The determination is a prerequisite to arming and delivery of the electrotherapy.

Abstract: An improved medical capnographysystem (22) automatically determines the effect of therapy on the underlying patient. The system enable the determination of proper endotracheal tube or advanced airway placement, the effectiveness of CPR, and the occurrence of the return of spontaneous circulation (ROSC) or loss of spontaneous circulation by use of a therapy analyzer (36) implementing an analyze therapy algorithm (336). The system may be implemented in platform-independent hardware or software.

Abstract: An ECG monitoring system continuously monitors a patient's ECG waveform and periodically identifies the patient's QT interval. QT interval values are averaged over time and a corrected interval value QTc and a change in QTc relative to a baseline, dQTc, are periodically produced. An alarm is responsive to updated QT interval values and issues an alarm whenever a selected QT value exceeds an alarm limit. The periodically produced QT interval values are stored and a trend display may be produced showing changes in the QT interval information over different periods of time. The trend display may selectively display the trend information either graphically or in tabular form.

Abstract: A traumatic brain injury (“TBI”) guideline system employing a patient monitoring sensor (30) and a patient monitoring device (10). In operation, the patient monitoring sensor (30) generates data for monitoring a TBI parameter of a patient (e.g., systolic blood pressure, blood oxygen saturation or carbon dioxide expiration of the patient), and the patient monitoring device (10) generates a TBI indicator derived from a comparison of the TBI parameter data to parameter guideline data associated with a potential TBI of the patient. The patient monitoring device (10) may include a patient data monitor module (17a) to monitor the TBI parameter data, and a TBI monitor module (17b) to generate the TBI indicator. The TBI indicator is informative of a TBI status of the patient (e.g., a hypotension status, a hypoxia status or a ventilation status of the patient), and/or a TBI treatment for the patient (e.g., a ventilation treatment for the patient).

Abstract: A defibrillator and method that uses ECG signals from limb lead electrodes for display and monitoring, even when a separate set of therapy pads are present at the patient. The limb lead ECG signal is used for display and to determine whether electrotherapy is necessary. The determination is a prerequisite to arming and delivery of the electrotherapy.

Abstract: A CO2 monitoring system (20) is described which is operable to monitor the CO2 content of respiratory gases during intubation, CPR, or ventilation treatment of a patient. The patient's respiratory gases are sensed for CO2 content (17) and characteristics of a CO2 waveform are detected (30), such as waveform baseline, waveform amplitude, waveform frequency, waveform slope, waveform rhythm, and waveform corners. One or more of the waveform characteristics are analyzed in consideration of the type of respiration treatment being performed to identify an abnormal respiratory condition. These abnormal conditions may include the intubation tube located in the esophagus, ineffective CPR, or an airway obstruction, for example. When an abnormal condition is identified (34) a visual or audible alarm (40) is issued to alert a caregiver to tend to the patient.

Abstract: Immediately after airway placement and/or following any patient transfer, an automated program may be activated in a CO2 monitoring device to provide an airway device placement check. The automated program needs time to determine if the airway placement has been successful or not. During analysis of CO2 respiration data by the program, real-time feedback is displayed to the user as soon as the airway check program is activated until the time that a final decision on the success of airway placement is made. The real-time feedback displays one or more indicators of the progress of the program toward a determination of a successful or failed placement.

Abstract: An improved medical capnographysystem (22) automatically determines the effect of therapy on the underlying patient. The system enable the determination of proper endotracheal tube or advanced airway placement, the effectiveness of CPR, and the occurrence of the return of spontaneous circulation (ROSC) or loss of spontaneous circulation by use of a therapy analyzer (36) implementing an analyze therapy algorithm (336). The system may be implemented in platform-independent hardware or software.

Abstract: Automated analysis and interpretation of spirograms is provided to assess lung function of a subject. If the shape of a spirogram plot is deemed suitably reliable, the spirogram may be subsequently used for diagnostic purposes. Quality control of spirograms and/or interpretation of reliable spirograms may use shape templates corresponding to common test problems and/or typical lung diseases.

Abstract: An atrial fibrillation (AF) monitor extracts two P wave features and an R-R interval feature from a sequence of ECG waveforms. The features are used by a classifier to classify a heart rhythm as AF or non-AF. The AF classification results may be further processed to reduce false alarm reporting. The AF classification results are used by an AF burden calculator to report AF burden in real time.

Abstract: A diagnostic ECG system analyzes lead traces for evidence of ST elevation in the lead signals. The pattern of ST elevation in leads having predetermined vantage points to the electrical activity of the heart and, in some instances, the presence of ST depression in certain other leads, identifies a specific coronary artery or branch as the culprit coronary artery for an acute ischemic event. The identity of the culprit coronary artery or branch is presented to the interventional cardiologist so that the correct coronary artery is accessed and the obstruction cleared. The technique can be used with standard 12-lead ECG systems as well as with ECG systems using fewer or more leads.

Abstract: A diagnostic ECG system analyzes lead traces for evidence of ST elevation in the lead signals. The pattern of ST elevation in leads having predetermined vantage points to the electrical activity of the heart and, in some instances, the presence of ST depression in certain other leads, identifies a specific coronary artery or branch as the culprit coronary artery for an acute ischemic event. The identity of the culprit coronary artery or branch is presented to the interventional cardiologist so that the correct coronary artery is accessed and the obstruction cleared. The technique can be used with standard 12-lead ECG systems as well as with ECG systems using fewer or more leads.

Abstract: An atrial fibrillation (AF) monitor extracts two P wave features and an R-R interval feature from a sequence of ECG waveforms. The features are used by a classifier to classify a heart rhythm as AF or non-AF. The AF classification results may be further processed to reduce false alarm reporting. The AF classification results are used by an AF burden calculator to report AF burden in real time.