20240050233. MACHINE LEARNING BASED JOINT EVALUATION METHOD simplified abstract (Little Engine, LLC)

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MACHINE LEARNING BASED JOINT EVALUATION METHOD

Organization Name

Little Engine, LLC

Inventor(s)

Franz W. Kellar of Gastonia NC (US)

Michael D. Bissette of Belmont NC (US)

Franz Austen Kellar of Gastonia NC (US)

MACHINE LEARNING BASED JOINT EVALUATION METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240050233 titled 'MACHINE LEARNING BASED JOINT EVALUATION METHOD

Simplified Explanation

The patent application describes a method for evaluating a human joint that consists of multiple bones and ligaments. The ligaments are under tension to connect the bones, creating a load-bearing joint. The method involves defining the locations of ligament attachment points to the bones, interconnecting these attachment points using mathematical relationships that describe the physics of the joint, and providing spatial information to describe the movement of the ligaments relative to each other. The method also includes defining an initial and final kinematic state of the joint, computing the difference between these states using a computer-based system, and computing modifications to the mathematical relationships of the ligament attachment points to achieve the final kinematic state.

  • The method evaluates a human joint with multiple bones and ligaments.
  • Ligaments are under tension to connect the bones, creating a load-bearing joint.
  • Ligament attachment points to the bones are defined and interconnected using mathematical relationships.
  • Spatial information is provided to describe the movement of the ligaments relative to each other.
  • The initial and final kinematic states of the joint are defined.
  • A computer-based system computes the difference between the initial and final kinematic states.
  • Modifications to the mathematical relationships of the ligament attachment points are computed to achieve the final kinematic state.

Potential applications of this technology:

  • Medical field: The method can be used in orthopedics to evaluate and analyze the movement and function of human joints, aiding in the diagnosis and treatment of joint-related conditions and injuries.
  • Sports science: The method can be applied to assess the biomechanics of joints during athletic activities, helping in the development of training programs and injury prevention strategies.
  • Prosthetics and robotics: The technology can be utilized to design and optimize artificial joints and robotic systems that mimic human joint movement and function.

Problems solved by this technology:

  • Accurate evaluation: The method provides a systematic and quantitative approach to evaluate the kinematics of human joints, allowing for a more precise assessment of joint function and potential issues.
  • Personalized treatment: By analyzing the movement and function of individual joints, the method enables personalized treatment plans tailored to the specific needs of each patient.
  • Optimization of joint design: The technology can assist in the design and optimization of artificial joints and robotic systems, improving their performance and functionality.

Benefits of this technology:

  • Enhanced diagnosis and treatment: The method provides healthcare professionals with valuable information about joint function, aiding in the diagnosis and treatment of joint-related conditions and injuries.
  • Improved performance and injury prevention: By analyzing joint biomechanics, the technology can contribute to the development of training programs and strategies to enhance athletic performance and reduce the risk of injuries.
  • Advanced prosthetics and robotics: The method can facilitate the development of more advanced and realistic artificial joints and robotic systems, improving their functionality and usability.


Original Abstract Submitted

a method of evaluating a human joint which includes two or more bones and ligaments, wherein the ligaments are under anatomical tension to connect the bones together, creating a load-bearing articulating joint. the method includes: defining locations of one or more sockets, each socket representing a ligament attachment point to bone; interconnecting the one or more sockets with mathematical relationships that describe the kinematic physics of the one or more sockets relative to one another; providing spatial information to describe the movement of the sockets relative to one another; defining an initial kinematic state of the joint; defining a final kinematic state of the joint; using computer-based system to compute a difference between the initial and final kinematic states; and using a computer-based system to compute modifications to the mathematical relationships of the sockets to achieve a final kinematic state.

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