Shape Sensing Device Training System Using Pose Comparison

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Solution Overview

Problem

In medical procedures, the skill level and experience of physicians create a bias, making it difficult for less experienced physicians to demonstrate clinical efficiency and efficacy, which can be overcome by proper training using advanced simulation and decision support systems.

Innovation Solution

A shape sensing enabled device and database system that collects and compares real-time pose data with a library of expert performances to provide feedback and training, enabling improved procedural training and decision support, and promoting evidence-based practices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If real-time shape sensing and comparison feedback systems are implemented, then training effectiveness and decision support are improved, but device complexity and system cost increase

Engineering Contradiction:

Improvetraining effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system pre-processes and stores expert performance data in a database before actual training sessions. Expert demonstrations are captured, processed into standardized shape sequences, and stored for later comparison during training, eliminating the need for real-time expert analysis during training sessions

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates digital copies of expert performance data including device shapes, poses, and procedural sequences. These copies are stored in a database and used for comparison during training, allowing trainees to be evaluated against standardized expert performance models without requiring actual experts present

Inventive Principle:

Principle #26Copying

2Productivity

If comprehensive real-time feedback is provided to trainees, then skill acquisition is accelerated, but information processing requirements and computational load increase

Engineering Contradiction:

Improveskill acquisition rateVSAvoiddata processing load

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system extracts only the essential shape and pose information from expert performance data, storing key geometric parameters and device configurations rather than complete raw data streams. This extraction focuses on the most relevant features for training evaluation while reducing overall data volume

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system provides targeted feedback on specific shape parameters and poses that are most critical for procedural competence, rather than analyzing every aspect of device manipulation. This partial analysis approach concentrates computational resources on the most educationally valuable metrics

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentEP2904601B1Clinical decision support and training system using device shape sensing

Publication Date: 2021.04.28 KONINKLIJKE PHILIPS NV

Figure 1
Figure 2~4
Figure 5

AI summary

A training or rating system includes a shape sensing enabled device (104) and a database (140) of possible shapes and sequences of shapes for the shape sensing enabled device. The possible shapes and sequences of shapes include a collection of poses derived by appropriately performing a procedure with the shape sensing enabled device. A comparison module(154)is configured to compare real-time poses of the shape sensing enabled device with the collection of poses in the database to output comparison feedback for a user of the shape sensing enabled device.