Patent classifications
A61B7/005
Quantitative assessment of prosthesis press-fit fixation
A system and method for quantitatively assessing a press fit value (and provide a mechanism to evaluate optimal quantitative values) of any implant/bone interface regardless the variables involved including bone site preparation, material properties of bone and implant, implant geometry and coefficient of friction of the implant-bone interface without requiring a visual positional assessment of a depth of insertion. The following description is presented to enable one of ordinary skill in the art to make and use the invention and is provided in the context of a patent application and its requirements.
Quantitative assessment of implant bone preparation
A system and method for quantitatively assessing, during bone preparation, an estimation of future a press fit value (and provide a mechanism to evaluate optimal quantitative values) of any implant/bone interface regardless the variables involved including bone site preparation, material properties of bone and implant, implant geometry and coefficient of friction of the implant-bone interface without requiring a visual positional assessment of a depth of insertion. The following description is presented to enable one of ordinary skill in the art to make and use the invention and is provided in the context of a patent application and its requirements.
VASCULAR ASSESSMENT USING ACOUSTIC SENSING
The present disclosure relates to the use of prior images acquired of the patient and acoustic signature from a vascular region of interest to create a patient-specific model of sound propagation from the vascular region. This model is then used to monitor the progression of disease in the vascular region of interest, using subsequently-acquired acoustic signals. In an alternate embodiment, population-based images and/or population-based acoustic signatures are used to generate predictive data when a priori patient-specific imaging information is not available and this data is used to characterize or categorize at-risk patients suspected of coronary artery disease, but without prior cardiac events.
Sensor-based phrenic nerve stimulation detection
A method and device for detecting phrenic nerve stimulation (PNS) in, or using, a cardiac medical device. A test signal sensitive to contraction of a diaphragm of a patient may be sensed and signal artifacts of the test signal within each of a first window of the test signal prior to a predetermined cardiac signal and a second window of the test signal subsequent to the predetermined cardiac signal may be determined. The PNS beat criteria may be evaluated, for example, using the test signal, which may be a heart sounds signal.
IN SITU SYSTEM AND METHOD FOR SENSING OR MONITORING
A system and method for quantitatively assessing a press fit value (and provide a mechanism to evaluate optimal quantitative values) of any implant/bone interface regardless the variables involved including bone site preparation, material properties of bone and implant, implant geometry and coefficient of friction of the implant-bone interface without requiring a visual positional assessment of a depth of insertion. The following description is presented to enable one of ordinary skill in the art to make and use the invention and is provided in the context of a patent application and its requirements.
ANATOMICAL LOCATOR TAGS AND USES
A system and method for providing a set of anatomical subdermal tags configured to form part of a local positioning system (in contrast to an operating room-wide global reference system) used in obscured visualization/localization of anatomical structures, locations, and components, as well as visualization/localization/orientation of implant(s) into referenced anatomical structures.
PROSTHETIC HEART VALVE ASSESSMENT USING HEART SOUNDS
Systems and methods for monitoring and evaluating the function of a prosthetic heart valve (PHV) implanted in a patient are discussed. An exemplary medical-device system can receive heart sounds information including vibrational or acoustic information generated by an implanted PHV, and generate an indicator of function of the PHV using a HS metric of received acceleration information. An alert of PHV dysfunction can be presented to a system user. The PHV function may be monitored during a valve replacement procedure to assist in position adjustment of the prosthetic value, or after the valve replacement procedure to assess patient progress in recovery. According to some embodiments, the system can generate a risk indicator indicating patient natural valve function and a need for heart valve repair or replacement.
METHOD AND APPARATUS FOR ESTABLISHING PARAMETERS FOR CARDIAC EVENT DETECTION
A pacemaker having a motion sensor is configured to select an atrial event sensing vector of a multi-axis motion sensor for sensing atrial systolic events from a motion signal produced by the motion sensor. In some examples, the pacemaker determines a maximum amplitude during a sensing window for each one of multiple vector signals produced by the multi-axis motion sensor. The pacemaker may select the atrial event sensing vector signal from among the vector signals based on the determined maximum amplitudes.
METHOD AND APPARATUS FOR ESTABLISHING PARAMETERS FOR CARDIAC EVENT DETECTION
A pacemaker having a motion sensor is configured to set atrial event sensing parameters used for sensing atrial systolic events from a motion signal produced by the motion sensor. The pacemaker sets at least one atrial event sensing parameter by identifying ventricular electrical events and setting a sensing window following each of the ventricular electrical events. The pacemaker may determine a feature of the motion signal produced by the motion sensor during each of the sensing windows and set the atrial event sensing parameter based on the determined features.
SYSTEM AND METHOD OF MARKING CARDIAC TIME INTERVALS FROM THE HEART VALVE SIGNALS
A system for marking cardiac time intervals from heart valve signals includes a non-invasive sensor unit for capturing electrical signals and composite vibration objects, a memory containing computer instructions, and one or more processors coupled to the memory. The one or more processors causes the one or more processors to perform operations including separating a plurality of individual heart vibration events into heart valve signals from the composite vibration objects, and marking cardiac time interval from the heart valve signals by detecting individual heartbeats using at least one or more of a PCA algorithm or deep learning.