A system can include a near-field instrument to be placed inside a chamber of a heart, a far-field instrument to be placed in a stable position in relation to the heart, and a control unit. The control unit is configured to identify a unique pattern in electrogram information received from the far-field instrument when the near-field instrument is in one or more positions within the heart. When the unique pattern is detected, the control unit is configured to receive electrogram information from the near-field instrument. While recording electrogram information from the near-field instrument, the control unit is also configured to record voltage and complex fractionated atrial electrogram (CFAE) characteristics of the tissue inside a heart chamber. This information combined with rotor information can be used to identify substrate versus non-substrate rotor characteristics.
Drawings
Claims18
A system, comprising:
a first instrument having a first plurality of electrodes, the first instrument configured to be placed inside a chamber of a heart;
a second instrument having a second plurality of electrodes, the second instrument configured to be placed in a stable position in relation to the heart;
a control unit configured to:
receive first far-field electrogram information from the second instrument,
identify a unique pattern associated with atrial fibrillation in the first far-field electrogram information,
once the unique pattern in the first far-field electrogram information is identified, receive first near-field electrogram information from the first instrument
store information associated with the unique pattern, first position coordinates of the first instrument associated with the first near-field electrogram information, the far-field electrogram pattern, and the first near-field electrogram information,
receive second far-field electrogram information from the second instrument after the first instrument has moved from the first position coordinates,
identify the unique pattern in the second far-field electrogram information,
once the unique pattern in the second far-field electrogram information is identified, receive second near-field electrogram information from the first instrument,
receive second position coordinates of the first instrument associated with the second near-field electrogram information,
store the second position coordinates of the first and the second near-field electrogram information, and
generate a conduction vector map for a phase of the heart associated with the unique pattern, the conduction vector map generated based on the first near-field electrogram information and the second near-field electrogram information.
10 more elements
A method, comprising:
receiving data associated with first position coordinates of a first instrument within a chamber of a heart;
receiving data associated with electrogram information of a second instrument when the first instrument is at the first position coordinates, the second instrument being located in or on a patient's body such that the second instrument does not move with respect to the heart, to generate first far-field electrogram data;
identifying a unique pattern associated with atrial fibrillation in the far-field electrogram data;
receiving, once the unique pattern in the first far-field electrogram data has been identified, data associated with electrogram info nation of the first instrument to generate first near-field electrogram data;
storing information associated with the unique pattern, the first position coordinates, and the first near-field electrogram data;
receiving data associated with electrogram information of the second instrument when the first instrument is at the second position coordinates, to generate second far-field electrogram data;
identifying the unique pattern in the second far-field electrogram information;
receiving, once the unique pattern in the second far-field electrogram information is identified, data associated with electrogram information of the first instrument to generate second near-field electrogram data;
and
storing the second position coordinates and the second near-field electrogram data;
and
generating a conduction vector map for a phase of the heart associated with the unique pattern, the conduction vector map generated based on the first near-field electrogram information and the second near-field electrogram information.
22 Aug 2034Estimated · howhide20 years from earliest known nonprovisional domestic filing plus recorded patent term adjustment. Maintenance-fee lapses, terminal disclaimers and statutory extensions have not been checked. The continuity chain may be incomplete; this is not an enforceability determination.
About 7 years 10 months of term left · ends 22 Aug 2034 (estimated)
Priority22 Aug 2013
Filed18 Nov 2016
Granted1 May 2018
Today12 Oct 2026
Term ends22 Aug 2034
Priority22 Aug 2013
Granted1 May 2018
Term ends22 Aug 2034
Priority claimedParent application 61/868,950
Application filedUS 15/355,909
PublishedUS 2017/0065195 A1
Assigned to Cardionxt, Inc.assignment of assignor's interest
Assigned to Aftx, Inc.assignment of assignor's interest
GrantedUS 9,955,893 B2
TodayWithin its term
Term endsEstimated
Description6,859 words
Summary503 words
#The invention relates generally to methods, systems, and apparatus for identifying and characterizing rotors associated with heart arrhythmias such as atrial fibrillation. Some methods described herein are suitable for classifying rotors as substrate rotors, which may significantly influence arrhythmias, and non-substrate rotors, which may not strongly influence arrhythmias.
#In the last few years, scientific understanding of atrial fibrillation has discovered that the electrical activity in the heart during atrial fibrillation is not complete chaos as was once accepted under the Moe model of random wavelets of electrical activity causing atrial fibrillation. Rather, there are local organized electrical drivers of atrial fibrillation. Recent research has revealed that electrical patterns in the heart, commonly referred to as rotors, play an important role in many cases of fibrillation, particularly persistent atrial fibrillation. Currently, surgical systems are available that modify cardiac tissue during treatment using RF energy, cryo, laser, direct current (DC), stem-cells, or drugs. In some situations modifying, ablating, or “burning” a rotor can significantly improve cardiac function by returning the patient to normal sinus heartbeat rhythm.
#Known surgical techniques, however, have inconsistent results; ablation of some rotors results in significant changes in heart rhythm, while ablation of other rotors does not have a significant effect. Current medical equipment and techniques cannot identify which rotors will have a significant effect if ablated. A need therefore exists for methods, systems, and apparatus for identifying and characterizing rotors. Furthermore, a targeted approach to treating rotors in atrial fibrillation patients will shorten treatment procedure times, reduce cost of procedures, reduce the need for repeat procedures, preserve heart tissue, and enable patients to live longer and fuller lives.
Brief description of the drawings21 figures
#FIG. 1 is a flow chart of a method of treating a cardiac arrhythmia, according to an embodiment.
#FIGS. 2A and 2B depict electro-anatomical models of a left atrium showing cardiac electrical conduction patterns in two unique phases, according to an embodiment.
#FIG. 2C depicts an electro-anatomical model of the left atrium of FIGS. 2A and 2B showing a map of the voltage characteristics of the underlying tissue, according to an embodiment.
Detailed description5,885 words
#In some embodiments, a system includes a near-field instrument to be placed inside a chamber of a heart, a far-field instrument to be placed in a stable position in relation to the heart (e.g., the coronary sinus), and a control unit. The control unit is configured to receive position coordinates of the near-field instrument and electrogram information from the far-field instrument. The control unit is configured to identify a unique pattern in the electrogram information from the far-field instrument. When the unique pattern is detected, the control unit is configured to receive electrogram information from the near-field instrument and store the associated near-field instrument position information with the unique pattern information and near-field instrument electrogram information. Upon moving the near-field instrument within the heart chamber, the control unit is configured to identify the unique pattern in the electrogram information from the far-field instrument again. Upon detecting the unique pattern, the control unit is configured to receive electrogram information from the near-field instrument at the new position and store the associated new near-field instrument position information with the unique pattern information and the near-field instrument electrogram information associated with the new position.
#In some embodiments, a method includes receiving position coordinates of a near-field instrument from within a patient's heart chamber and electrogram information from a far-field instrument that is located at a stable position with respect to the patient's heart. The method further includes identifying a pattern in the far-field electrogram data, capturing electrogram data from the near-field instrument when the pattern is detected in the far-field electrogram data, and associating in memory the position coordinates and electrogram data of the near-field instrument and the identified pattern. The method further includes moving the position of the near-field instrument within the patient's heart chamber and repeating the steps to gather near-field electrogram data at the new position when the pattern is identified in the electrogram data of the far-field instrument.
#In some embodiments, a method including identifying the location of one or more rotors (i.e., spiraling conduction vector patterns) in a patient's heart. Once the locations are identified, determining the stability of each of the rotors, measuring voltage characteristics and complex fractionation characteristics of the heart tissue in and around the rotor location, and using the stability information and characteristic information to identify which rotors are sources of arrhythmia.