Optical Tracking System for Muscle Movement Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems lack effective solutions for detecting muscle movements and reactions during medical procedures, such as seizures or muscle twitches, which can occur during surgeries like tumor resection, leading to potential trauma and unintended tissue resection.
Innovation Solution
A medical navigation system equipped with an optical tracking system, video system, or 3D scanner, coupled with a processor and display, continuously monitors optical tracking markers or patient movements within predefined parameters, providing alerts to the surgeon to ensure awareness of critical patient reactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional monitoring systems are used during surgery, then the surgeon can observe the operating room, but the surgeon cannot detect subtle muscle movements or seizures in real-time
Solution Approach 1:
The patent embeds multiple levels of monitoring within the surgical system. Standard cameras capture video feeds that are then processed by AI algorithms to detect subtle muscle movements, seizures, and physiological changes. This nested approach allows conventional infrastructure to support advanced detection capabilities without requiring entirely new equipment.
Solution Approach 2:
The patent replaces manual visual monitoring by surgeons with automated computer vision and AI-based detection systems. Optical tracking markers and machine learning algorithms automatically analyze video feeds to detect muscle twitches, seizures, and other physiological events, substituting human observation with automated computational analysis.
2Reliability
If the surgeon focuses on the surgical procedure, then the surgical precision is maintained, but the surgeon may miss important patient reactions
Solution Approach 1:
The system provides continuous feedback to the surgeon through automated alerts and notifications when muscle movements, seizures, or other physiological events are detected. This feedback mechanism ensures that critical patient reactions are communicated to the surgeon without requiring the surgeon to continuously monitor all patient responses manually.
Solution Approach 2:
The monitoring system operates autonomously to detect and analyze patient physiological states. AI algorithms automatically process video feeds, identify muscle movements and seizures, and generate alerts without requiring surgeon intervention, allowing the system to serve itself in monitoring while the surgeon focuses on surgery.
3Speed
If manual monitoring of patient reactions is performed, then the surgeon can respond to events, but the response time is delayed and trauma may occur
Solution Approach 1:
The system performs preliminary analysis of video feeds continuously during surgery, preparing detection algorithms to identify muscle movements and physiological changes before they become critical events. Optical tracking markers are pre-positioned on the patient to enable immediate detection of muscle twitches and seizures as they occur.
Solution Approach 2:
The system monitors multiple physiological parameters simultaneously through video analysis, including muscle movement amplitude, frequency, and patterns. By tracking changes in these parameters over time, the system can detect subtle physiological events and alert the surgeon before they progress to more serious conditions requiring intervention.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively detects muscle twitches and tremors, enabling informed clinical decision-making and minimizing trauma during surgeries by providing timely alerts to the surgeon, thus enhancing the precision and safety of medical procedures.
Implementation Method 1
The controller is configured to receive a data signal from the optical tracking system, recognize and continuously monitor optical tracking markers on the patient within a field of view of the camera
Implementation Method 2
Conventional systems have not offered good solutions for ensuring that a surgeon sees all of the reactions of a patient during the performance of a medical procedure
Implementation Method 3
A medical navigation system for detecting movement of a subject, the system having a three dimensional (3D) scanner system including a 3D scanner
Data Source
AI summary
A medical navigation system is provided for detecting movement of a subject, the system having an optical tracking system including a camera, a display, and a controller electrically coupled with the optical tracking system and the display. The controller has a processor coupled with a memory and is configured to receive a data signal from the optical tracking system and recognize and continuously monitor optical tracking markers on the subject within a field of view of the camera, and provide an alert on the display when movement of the optical tracking markers on the subject falls within predefined parameters.