Abstract: Various embodiments of the present disclosure encompass an ECG control network of ECG test controller (10) and ECG context controller (40). The ECG test controller (10) control a recording of an ECG test. The ECG context controller (40) control a synchronization of the recording of the ECG test by the ECG test controller (10) with a recording of a video clip illustrative of a clinical context of the ECG test and/or a recording of an audio clip informative of a clinical context of the ECG test. The ECG context controller (40) further control a simultaneous presentation of a display of the recording of the ECG test with of a playing of the video clip contextually interpretative of the ECG test and/or a playing of the audio clip contextually interpretative of the ECG test.

Abstract: Methods and systems for monitoring patient physiological status. The system may include a source of vital sign measurements for a patient, a trained machine learning model that receives the vital sign measurements and provides an output related to the physiological status of the patient, and an interface configured to present the output to an operator. The method may include receiving, at a trained machine learning model, at least one physiological measurement, demographic information point, or treatment plan for a patient, providing, using the trained machine learning model, an output relating to the physiological status of the patient, and presenting, using an interface, the output to an operator.

Abstract: When detecting ischemia and/or myocardial infarction in a subject, electrocardiogram (ECG) segments are analyzed for elevated ST segments indicative of ischemia and/or infarction. To mitigate false positive alerts, an ECG segment comprising an elevated ST segment that triggers an alert is presented to a clinician for verification as being indicative of ischemia or infarction, or as being attributable to a confounding condition not indicative of ischemia or infarction. Clinician feedback is used to adjust an elevated ST segment detection algorithm to improve accuracy and mitigate false positive alerts.

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: A method of providing a graphical representation of sleep quality includes obtaining ECG data for a patient, obtaining a plurality of N-N intervals from the ECG data, calculating a plurality of spectral densities based on the plurality of N-N intervals, wherein each spectral density is associated with one of a plurality of successive time windows and is calculated based on certain ones of the N-N intervals associated with the one of the plurality of successive time windows, and generating the graphical representation of sleep quality using the plurality of spectral densities.

Abstract: A patient monitor (12) includes a display (14) and sensors (20, 22, 24) reading vital signs of a human subject. In a cardiovascular early warning scoring (cEWS) method, the human subject is classified using a plurality of cardiovascular deterioration classifiers (52, 152, 54, 56, 58) each trained respective to a different type of cardiovascular deterioration. The cardiovascular deterioration classifiers operate on a set of inputs characterizing the human subject including the at least one cardiovascular parameter (42) and the at least one respiratory parameter (44), such as tidal volume read by an airflow sensor (24). The cardiovascular early warning scores for the different types of cardiovascular deterioration are outputted on the display of the patient monitor. An empirical myocardial ischemia classifier (52) may be combined with at least one additional ischemia score generated by applying a set of rules (160) or a physiological model (162).

Abstract: When detecting ischemia and/or myocardial infarction in a subject, electrocardiogram (ECG) segments are analyzed for elevated ST segments indicative of ischemia and/or infarction. To mitigate false positive alerts, an ECG segment comprising an elevated ST segment that triggers an alert is presented to a clinician for verification as being indicative of ischemia or infarction, or as being attributable to a confounding condition not indicative of ischemia or infarction. Clinician feedback is used to adjust an elevated ST segment detection algorithm to improve accuracy and mitigate false positive alerts.

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 method of providing a graphical representation of sleep quality includes obtaining ECG data for a patient, obtaining a plurality of N-N intervals from the ECG data, calculating a plurality of spectral densities based on the plurality of N-N intervals, wherein each spectral density is associated with one of a plurality of successive time windows and is calculated based on certain ones of the N-N intervals associated with the one of the plurality of successive time windows, and generating the graphical representation of sleep quality using the plurality of spectral densities.

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. ECG measurements which are associated with the identity of specific arterial occlusion locations are calculated and used to form a classifier of the probability of occlusion at different locations. The location identified as having the highest probability is indicated to a user as the most likely occlusion location.

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: A method of providing a graphical representation of sleep quality includes obtaining ECG data for a patient, obtaining a plurality of N-intervals from the ECG data, calculating a plurality of spectral densities based on the plurality of N-N intervals, wherein each spectral density is associated with one of a plurality of successive time windows and is calculated based on certain ones of the N-N intervals associated with the one of the plurality of successive time windows, and generating the graphical representation of sleep quality using the plurality of spectral densities.

Abstract: A medical system includes a plurality of portable vital sign monitors (12), a patient assessment unit (24), a patient watch-dog unit (42), and at least one display device (44). Each monitor continuously monitors vital signs of a subject (12) from a point of initial contact with a healthcare professional and wirelessly transmits the monitored vital signs, and the vital signs include blood pressure (BP), blood oxygen (SpO2), heart rate (HR), and respiratory rate (RR). The patient assessment unit (24) receives the transmitted monitored vital signs of each subject and determines a triage score based on the received vital signs, and subject gender, subject age, and subject symptoms. The patient watch-dog unit (42) constructs a display of a patient trajectory of each subject and the trajectory includes the monitored vital signs, the determined triage score, and the subject gender, the subject age, and the subject symptoms.

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: An ECG monitoring system analyzes ECG signals of leads associated with different anatomical locations of the body for evidence of ST elevation in the lead signals. The ST elevation and depression measurements of the leads are plotted in a graphical display organized in relation to the anatomical points which are the sources of the lead signals. The locations of the plotted measurements in the anatomically-oriented display indicate the identity of a specific coronary artery or branch as a possible culprit coronary artery for an acute ischemic event, as well as the possible severity of the event from the magnitudes of the plotted signals. A clinician can identify a suspect culprit coronary artery from a quick glance at the graphical display.

Abstract: A diagnostic medical device for identifying an arrhythmia treatable by a defibrillation shock includes a defibrillating a filter for filtering ECG data sets, a classifier and a electrotherapy circuit. The classifier is configured to classify filtered and unfiltered ECG data sets as a “shock” advice or a “no-shock” advice.

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 diagnostic medical device (900) is described which incorporates an improved ECG analysis algorithm (600, 800) that identifies an arrhythmia treatable by a defibrillation shock, wherein the identification can occur even in the presence of underlying CPR artifact. The analysis algorithm allows for a shorter interval between the application of CPR compressions and the delivery of electrotherapy, and thus increases the likelihood of successful resuscitation. The medical device may also include a defibrillating electrotherapy circuit (920).

Abstract: A method of providing a graphical representation of sleep quality includes obtaining ECG data for a patient, obtaining a plurality of N-intervals from the ECG data, calculating a plurality of spectral densities based on the plurality of N-N intervals, wherein each spectral density is associated with one of a plurality of successive time windows and is calculated based on certain ones of the N-N intervals associated with the one of the plurality of successive time windows, and generating the graphical representation of sleep quality using the plurality of spectral densities.