Camera-Based Limb Movement Tracking for Orthopedic Range of Motion

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Solution Overview

Problem

Current techniques for orthopedic patient care, such as physical and occupational therapy, fail to adequately monitor or assess range of motion and pain before or after surgical intervention, leading to potential long-term issues and incorrect diagnoses.

Innovation Solution

A portable system using a camera, such as a mobile device, calibrates patient movements to accurately track compliance and progress by determining a maximum limb length, aligning the movement plane orthogonal to the camera's line of sight, and providing real-time feedback to ensure correct exercise performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If physical therapy or occupational therapy is used to help patient recovery, then patient strength and functioning improve, but there is no adequate monitoring or assessment of range of motion or pain

Engineering Contradiction:
Improvepatient recovery outcomeVSAvoidrange of motion data
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent replaces manual assessment methods with an automated optical measurement system using a camera to capture and analyze patient movements. The system uses image processing to automatically calculate range of motion metrics, eliminating the need for manual measurement while providing continuous monitoring during therapy exercises.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables patients to perform self-assessment of their range of motion through the mobile device camera. Patients can independently track their own progress by performing exercises and having the system automatically measure and record their movements, providing continuous feedback without requiring therapist intervention for each measurement.

Inventive Principle:
Principle #25Self-service

2Measurement precision

If manual assessment methods are used for range of motion testing, then patient compliance can be monitored, but measurement accuracy and precision are insufficient

Engineering Contradiction:
Improverange of motion measurementVSAvoidassessment system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system uses a standard mobile device camera that patients already possess, making the measurement tool universally available without requiring specialized equipment. The same device serves multiple functions: capturing movement images, processing measurements, providing feedback, and storing data, thereby achieving high measurement precision while avoiding the complexity of dedicated measurement devices.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If continuous monitoring of patient movements is implemented, then range of motion tracking accuracy improves, but system complexity increases

Engineering Contradiction:
Improvemovement tracking accuracyVSAvoidmonitoring system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical measurement devices with a software-based solution using a standard camera. The system captures images and uses image processing algorithms to automatically extract movement data, providing continuous monitoring with high precision while keeping the hardware simple and accessible through mobile devices.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12354279B2Movement tracking
Publication Date: 2025.07.08 ZIMMER US INC
  • US12354279B2 patent drawing
  • US12354279B2 patent drawing
  • US12354279B2 patent drawing

AI summary

Systems and methods may be used for evaluating a patient after completion of an orthopedic surgery on a portion of a body part of the patient. In an example, the method includes capturing, using a camera of the device, a series of images of the patient in motion, determining respective lengths of the body part in each of the series of images based on comparing the body part in each of the series of images to a skeletal model, and identifying a maximum length of the body part from the respective lengths. The method may include displaying an indication corresponding to the maximum length.