The present invention relates to implantable medical devices, and specifically, to estimating the location of magnetic elements in such devices.
Some implantable medical systems such as Middle Ear Implants (MEI's) and Cochlear Implants (CI's) employ attachment magnets in the implantable part and an external part to hold the external part magnetically in place over the implant. For example, as shown in
After implantation of such devices, sometimes problems can arise such as inadequate magnetic holding force of the external part. In such circumstances, the exact distance from the skin surface to the implant magnet is generally unknown, so it would not be clear if the problem is because the distance is too great or the implant magnet has partially lost magnetization. During implantation, the surgeon can physically measure the skin thickness over the implant, but that is not possible after the surgery. An absolute magnetic field measurement may be possible if the magnetization strength is known, but that may not generally be the case.
U.S. Pat. No. 7,561,051 describes a device that is able to determine the location of an implanted magnet by a passive measurement of the magnetic field. The device uses magnetic sensors in an array that can measure the direction of the magnetic field and the magnetic field strength. The distance calculation used is complicated and computationally demanding, making this approach less useful for battery operated devices.
Embodiments of the present invention are directed to a method for estimating skin thickness over an implanted magnet. A plane is defined that is perpendicular to the skin of a patient over an implanted magnet and characterized by x- and y-axis coordinates. The magnetic field strength of the implanted magnet is measured using an array of magnetic sensors on the skin of the patient. From the measured magnetic field strength, at least one x-axis coordinate in the plane is determined for at least one y-axis zero position on the array where a y-axis component of the measured magnetic field strength is zero. From that, a y-axis coordinate of the at least one y-axis zero is calculated as a function of the at least one x-axis coordinate, such that the y-axis coordinate represents thickness of the skin over the implanted magnet.
In further specific embodiments, the x-axis coordinates may be determined for two y-axis zero positions. The magnetic field strength may be measured using a one-dimensional or two-dimensional sensor array. Before taking the magnetic field strength measurements, the sensor array may be aligned by user interaction or without user interaction. Calculating the y-axis coordinate may further be a function of magnetic dipole moment rotation angle, and may be based on an iterative calculation process, or on a single step non-iterative calculation process. Calculating the y-axis coordinate also may be based on a trigonometric or non-trigonometric calculation process.
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In general, the absolute magnetic field strength is not known after surgery so cannot be used as the basis for measuring distance to the implant magnet (skin thickness over the magnet). But the magnetic field lines as such are independent of the magnetization strength. Therefore a distance estimate can be made based on the field direction, which would need measurements of the magnetic field strength at different positions. The lowest distance for measurements is the plane of the skin surface.
Explaining more fully and rigorously, the magnetic moment m of a magnetic field can be characterized by a vector potential:
and the field of a magnetic dipole moment can be represented in terms of a magnetic flux density B(r):
The dipole moment is oriented in y-direction and positioned at the origin of a Cartesian coordinate system:
The orientation of the magnetic dipole in this case is defined to be perpendicular to the patient skin. And an observing point is then located at:
Given the foregoing, the magnetic field can be represented as:
and in the x-y plane (with z=0) following:
The zeros of the x-component Bx(x,y)=0 are located at x=0 and y=0. The zeros of the y-component By(x,y)=0 then are 2y2−x2=0x=√{square root over (2)}y. Therefore a measured zero x-position x0 of the y-component By(x0,y0)=0 can be used to estimate the unknown y-position
Considering the more realistic case where there is some rotation of the dipole moment, again using the x-y plane (z=0), the magnetic dipole moment m is:
with a rotation angle ∝. The magnetic field B is now characterized by x- and y-components:
Then solving for a with By=0 yields:
Now the magnetic field is measured at two x-positions x1 and x2 and assuming the same y in the chosen coordinate system:
The result is related to the geometric mean of both numbers and simplifies to the already shown result for x1=x2. It should be noted that now the points of x=0 (black dashed vertical) are different from the point of Bx=0 (c1 and c4) and also different from the moment axis (black arrow).
From the foregoing,
Putting all the foregoing into a specific efficient algorithm for finding the skin thickness in terms of the y-coordinate, the distance x1m is from left point By=0 to point Bx=0, and the distance x2m is from right point By=0 to point Bx=0. Then calculate a first estimate for distance y:
Calculate an estimate for rotation angle:
Then calculate an estimate for displacement of point Bx=0 to x=0
And then update the measured distances:
x2=x1m−
x2=x2m+
from which:
Which represents a better estimate for the unknown distance y′. The algorithm can be iterated to reduce the result error.
The first three calculations can be rolled into a single step without a trigonometric function:
(with x1m>0). For example, given some rotation angle ∝=20° and y=2: x1m=2.1759 x2m=3.8841 as shown in
The algorithm can be modified for only one iteration by multiplying a factor f to the estimation of :
′=f
The described method works in a similar manner when the magnetic dipole of the implanted magnet is parallel to the skin of the patient. In that situation, a similar specific efficient algorithm may be used for finding the skin thickness in terms of the x-coordinate, the distance x1m is from upper point Bx=0 to point By=0, and the distance x2m is from lower point Bx=0 to point By=0, as shown in
{circumflex over (y)}=√{square root over (2|x1mx2m|)}
Calculate an estimate for rotation angle:
Then calculate an estimate for displacement of point By=0 to x=0
And then update the measured distances:
x1=x1m−
x2=x2m+
from which:
{circumflex over (y)}′=√{square root over (2|x1x2|)}
Here ŷ′ represents a better estimate for the unknown distance y. The algorithm can be further iterated to reduce the result error. Similarly it is possible to combine the first three calculations into a single step and to modify for only one iteration by multiplying a factor f to the estimation of . Again, this specific single iteration algorithm cannot later be used for further iterations.
Specific embodiments may include a further step to identify the orientation of the magnet dipole in relation to the skin of the patient. For example, this identification can be determined by the orientation of the magnetic field at the left/upper or right/lower positions. The distances x1m and x2m represent the distances on the magnetic sensing array between the positions where the magnetic field components in x-direction and y-direction or y-direction and x-direction vanish. In the case where Bx=0 at the left/upper and right/lower point, the magnet dipole orientation is perpendicular to the patient skin and the efficient algorithm for this configuration is used to calculate the distance y. In the case where By=0 at the left/upper and right/lower point, the magnet dipole orientation is parallel to the patient skin and the efficient algorithm for this configuration is used to calculate the distance y.
The algorithm may be further modified by replacing the iterative step and angle calculation by a polynomial approximation and subsequent inverse mapping. In
for the x-component of the magnetic field being zero (Bx=0), and expressed by:
for By=0. Each line equation c1 to c4 consists of a function of the angle ∝ solely and denoted by a1(∝) to a4(∝) and x. Building the ratio of x1m and x2m cancels x out and is a function of the angle ∝ only. For the case of the orientation of the magnetic dipole perpendicular to the skin of the patient yields:
This function is invertible and the inverse function can be used to calculate the angle {circumflex over (∝)}=f−1(z). The inverse function, shown in
or alternatively by:
Both these functions may be approximated by a polynomial or any other interpolation technique known. For example piecewise linear interpolation or spline interpolation may be used. For the example shown in
In a similar manner the calculation for orientation of the magnetic dipole parallel to the patient skin is the distance calculated by:
or by:
Both these functions may be approximated by a polynomial or any other interpolation technique known. For example piecewise linear interpolation or spline interpolation may be used. And the ratio of x1m and x2m is again a function of the angle ∝ given by:
where this function is again invertible and he inverse function, shown in
A one dimensional array 900 of magnetic sensors as shown in
Rather than relying on user interaction to align the magnetic sensor array, some embodiments of a one dimensional sensor array can be aligned using an additional external magnet as shown in
Instead of a one dimensional sensor array, some embodiments may use a two dimensional array to make the field strength measurements without user interaction.
The foregoing approaches offer a distance estimation that corresponds to thickness of the skin over the implanted magnet which is numerically stable and can be efficiently computed. This is accomplished by purely passive measurement without the need to measure the orientation of the magnetic field. Rather it is sufficient to measure the magnetic field in one direction and find those points on the magnetic sensing array where in that direction the magnetic field component vanishes. This position on the magnetic measurement array can then be used to apply the algorithm to easily calculate the distance to the implant magnet.
Embodiments of the invention may be implemented in part in any conventional computer programming language. For example, preferred embodiments may be implemented in a procedural programming language (e.g., “C”) or an object oriented programming language (e.g., “C++”, Python). Alternative embodiments of the invention may be implemented as pre-programmed hardware elements, other related components, or as a combination of hardware and software components.
Embodiments can be implemented in part as a computer program product for use with a computer system. Such implementation may include a series of computer instructions fixed either on a tangible medium, such as a computer readable medium (e.g., a diskette, CD-ROM, ROM, or fixed disk) or transmittable to a computer system, via a modem or other interface device, such as a communications adapter connected to a network over a medium. The medium may be either a tangible medium (e.g., optical or analog communications lines) or a medium implemented with wireless techniques (e.g., microwave, infrared or other transmission techniques). The series of computer instructions embodies all or part of the functionality previously described herein with respect to the system. Those skilled in the art should appreciate that such computer instructions can be written in a number of programming languages for use with many computer architectures or operating systems. Furthermore, such instructions may be stored in any memory device, such as semiconductor, magnetic, optical or other memory devices, and may be transmitted using any communications technology, such as optical, infrared, microwave, or other transmission technologies. It is expected that such a computer program product may be distributed as a removable medium with accompanying printed or electronic documentation (e.g., shrink wrapped software), preloaded with a computer system (e.g., on system ROM or fixed disk), or distributed from a server or electronic bulletin board over the network (e.g., the Internet or World Wide Web). Of course, some embodiments of the invention may be implemented as a combination of both software (e.g., a computer program product) and hardware. Still other embodiments of the invention are implemented as entirely hardware, or entirely software (e.g., a computer program product).
Although various exemplary embodiments of the invention have been disclosed, it should be apparent to those skilled in the art that various changes and modifications can be made which will achieve some of the advantages of the invention without departing from the true scope of the invention.
This application claims priority from U.S. Provisional Patent Application 61/895,070, filed Oct. 24, 2014, which is incorporated herein by reference in its entirety.
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