View source for 18269891. GENERATING A MAPPING FUNCTION FOR TRACKING A POSITION OF AN ELECTRODE simplified abstract (KONINKLIJKE PHILIPS N.V.)

=GENERATING A MAPPING FUNCTION FOR TRACKING A POSITION OF AN ELECTRODE=


==Organization Name==

[[:Category:KONINKLIJKE PHILIPS N.V.|KONINKLIJKE PHILIPS N.V.]]


[[Category:KONINKLIJKE PHILIPS N.V.]]

==Inventor(s)==

[[:Category:Rogier Rudolf Wildeboer of EINDHOVEN (NL)|Rogier Rudolf Wildeboer of EINDHOVEN (NL)]][[Category:Rogier Rudolf Wildeboer of EINDHOVEN (NL)]]

[[:Category:Bernardus Hendrikus Wilhelmus Hendriks of EINDHOVEN (NL)|Bernardus Hendrikus Wilhelmus Hendriks of EINDHOVEN (NL)]][[Category:Bernardus Hendrikus Wilhelmus Hendriks of EINDHOVEN (NL)]]

[[:Category:Rik Jozef Martinus Janssen of HEYTHUYSEN (NL)|Rik Jozef Martinus Janssen of HEYTHUYSEN (NL)]][[Category:Rik Jozef Martinus Janssen of HEYTHUYSEN (NL)]]

[[:Category:Dirk Schaefer of HAMBURG (DE)|Dirk Schaefer of HAMBURG (DE)]][[Category:Dirk Schaefer of HAMBURG (DE)]]

==GENERATING A MAPPING FUNCTION FOR TRACKING A POSITION OF AN ELECTRODE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18269891 titled 'GENERATING A MAPPING FUNCTION FOR TRACKING A POSITION OF AN ELECTRODE

==Simplified Explanation==

The patent application describes a mechanism for generating a mapping function that can map measurements taken at an electrode within crossing electric fields to positions within a multidimensional coordinate system. The mapping function is generated using a machine-learning algorithm that uses example measurements of the electrode as input and provides values for the coefficients of the mapping function as output.

* The mechanism generates a mapping function for mapping measurements taken at an electrode within crossing electric fields to positions within a multidimensional coordinate system.
* The mapping function is generated using a machine-learning algorithm.
* The machine-learning algorithm receives example measurements of the electrode as input.
* The machine-learning algorithm provides values for the coefficients of the mapping function as output.
* The mechanism includes a method and processing system for carrying out this mechanism.

== Potential Applications ==
* This technology can be applied in various fields where precise mapping of measurements taken at an electrode is required.
* It can be used in medical applications for mapping measurements taken from electrodes placed on the human body.
* It can be used in scientific research for mapping measurements taken in complex electric fields.
* It can be used in industrial applications for mapping measurements taken in manufacturing processes.

== Problems Solved ==
* The mechanism solves the problem of accurately mapping measurements taken at an electrode within crossing electric fields to positions within a multidimensional coordinate system.
* It eliminates the need for manual mapping or approximation methods, providing a more precise and efficient solution.
* It solves the problem of generating the mapping function using a machine-learning algorithm, which can adapt and improve over time.

== Benefits ==
* The technology provides a more accurate and reliable mapping of measurements taken at an electrode.
* It saves time and effort by automating the mapping process.
* The machine-learning algorithm allows for continuous improvement and adaptation of the mapping function.
* It can be easily integrated into existing systems and processes.


==Original Abstract Submitted==

A mechanism for generating a mapping function for mapping measurements taken at an electrode within crossing electric fields to a position or positions within a multidimensional co-ordinate system. The values for coefficients of the mapping function are generated using a first machine-learning algorithm, which receives, as input, example measurements (or responses) of the electrode and provides, as output, values for the coefficients for the mapping function. There is proposed a method and processing system for carrying out this mechanism.



[[Category:A61B34/20]]