Abstract: The present disclosure describes various systems and methods of modifying a display to automatically visually trace an abnormality associated with a physiological signal received from a patient (i.e., subject). In particular aspects, the systems and methods described herein utilize three-dimensional display outputs of physiological signals that allow for the immediate differentiation between normal portions of the physiological signal and abnormal portions of the physiological signal.

Abstract: A system and method for modeling and visualizing ST segment morphology in an ECG. Many cardiac conditions show ST-elevation in ECG data and may be misdiagnosed as a consequence. The exemplary embodiments model a segment in the ECG with a curve and extract features from the curve to discriminate between the cardiac conditions, including STEMI.

Abstract: A PPG PRV device for generating a PRV parameter of a PPG signal (20) as an estimation of a HRV parameter of an ECG signal. The PPG PRV device employs a PPG probe (700) and a PPG PRV controller (710). In operation, the PPG probe (700) generate a PPG signal (20). In response thereto, the PPG PRV controller (710) generates a normalized PPG signal (20?) including a plurality of pulses of the PPG signal (20) designated as normal pulses by the PPG PRV controller (710) and excluding at least one pulse of the PPG signal (20) designated at least one abnormal pulse by the PPG PRV controller (710), wherein the normalized PPG signal (20?) is HRV comparable to the ECG signal. The PPG PRV controller (710) derives the PRV parameter from a HRV measurement of the normalized PPG signal (20?).

Abstract: Various embodiments of a physiological waveform summarizing system of the present disclosure encompass a clinical physiological waveform (CPW) interface (20), and a physiological waveform summarizing monitor (30). In operation, the monitor (30) extracts a set of dominant physiological templates (41) from a clinical physiological waveform (CPW) communicated by the interface (20) to the monitor (30). The set of dominant physiological templates (41) represent a dominating major physiological rhythm (DMPR) of the clinical physiological waveform (CPW) temporally spanning over consecutive intervals of the clinical physiological waveform (CPW), and each dominant physiological template (41) is derived from a different interval of the consecutive intervals of the clinical physiological waveform (CPW).

Abstract: Periprosthetic bone fixation plates are disclosed including, for example, periprosthetic proximal femur plate, periprosthetic distal femur plate, periprosthetic humerus plate, periprosthetic ring plate, and periprosthetic troch plate. In use, the periprosthetic bone fixation plates are arranged and configured for use in periprosthetic fractures. That is, the periprosthetic plates include one or more features to facilitate positioning and securement of the bone fixation plate to a patients bone that previously received a surgically implanted orthopedic device or implant such as, for example, an intramedullary nail, a hip prosthesis, a knee prosthesis, etc. In use, the one or more features are designed and configured to facilitate avoidance of the previous surgically implanted orthopedic device or implant. In addition, the periprosthetic bone fixation plates are arranged and configured to facilitate plating of a longer working length as compared to existing bone fixation plates (e.g.

Abstract: A PPG PRV device for generating a PRV parameter of a PPG signal (20) as an estimation of a HRV parameter of an ECG signal. The PPG PRV device employs a PPG probe (700) and a PPG PRV controller (710). In operation, the PPG probe (700) generate a PPG signal (20). In response thereto, the PPG PRV controller (710) generates a normalized PPG signal (20?) including a plurality of pulses of the PPG signal (20) designated as normal pulses by the PPG PRV controller (710) and excluding at least one pulse of the PPG signal (20) designated at least one abnormal pulse by the PPG PRV controller (710), wherein the normalized PPG signal (20?) is HRV comparable to the ECG signal. The PPG PRV controller (710) derives the PRV parameter from a HRV measurement of the normalized PPG signal (20?).

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 defibrillator or other patient monitoring device (20) employing an ECG monitor (23) and a controller (25). The ECG monitor (23) monitors an ECG waveform of a heart of a patient. The controller (25) segments the ECG waveform, and for each ECG waveform segment of a series of ECG waveform segments, generates an ECG shock advisory between a shock decision, a no-shock decision and an optional shock indecision. The controller (25) further monitors a consistency of the ECG shock advisories between consistent shock decisions, consistent no-shock decisions, and optional inconsistent shock decisions.

Abstract: A monitoring device (e.g., a ECG monitor or a Holter monitor) employing an electrocardiograph (40), and an ECG quality controller (50). In operation, the electrocardiograph (40) derives an electrocardiogram from one or more ECG leads (30) upon a connection of the electrocardiograph (40) to the ECG lead(s) 30 (e.g., electrode based or pad/paddle based). In response to the connection of the electrocardiograph (40) to the ECG lead(s) (30), the ECG quality controller (50) controls separate evaluations of a high-frequency noise level (e.g., a degree of muscle artifact and/or a degree of electrode motion artifact within the electrocardiogram) and a low-frequency noise level (e.g., a degree of baseline wander by the electrocardiogram) of an individual ECG lead (30) on an electrocardiogram segmentation basis (e.g., a continual ECG recording divided into segments of a specified duration).

Abstract: A method, system and device to detect and use clean ECG segments, which do not need filtering to remove artifact or CPR-induced noise, is described to provide a reliability score for the decision made by shock advisory algorithms. The method can be implemented in a system and/or device that is provided with a display for indicating to a user the relative quality of the determination of an electrotherapy analysis circuit.

Abstract: A defibrillator or other patient monitoring device (20) employing an ECG monitor (23) and a controller (25). The ECG monitor (23) monitors an ECG waveform of a heart of a patient. The controller (25) segments the ECG waveform, and for each ECG waveform segment of a series of ECG waveform segments, generates an ECG shock advisory between a shock decision, a no-shock decision and an optional shock indecision. The controller (25) further monitors a consistency of the ECG shock advisories between consistent shock decisions, consistent no-shock decisions, and optional inconsistent shock decisions.

Abstract: A method, system and device to detect and use clean ECG segments, which do not need filtering to remove artifact or CPR-induced noise, is described to provide a reliability score for the decision made by shock advisory algorithms. The method can be implemented in a system and/or device that is provided with a display for indicating to a user the relative quality of the determination of an electrotherapy analysis circuit.