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

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GENERATING A MAPPING FUNCTION FOR TRACKING A POSITION OF AN ELECTRODE

Organization Name

KONINKLIJKE PHILIPS N.V.

Inventor(s)

Rogier Rudolf Wildeboer of EINDHOVEN (NL)

Bernardus Hendrikus Wilhelmus Hendriks of EINDHOVEN (NL)

Rik Jozef Martinus Janssen of HEYTHUYSEN (NL)

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.

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