Posture State Definition Calibration Using One Patient Posture
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Solution Overview
Problem
Existing medical devices struggle with inaccurate posture state detection due to implant rotation, migration, or patient posture changes, leading to inefficiencies in therapy delivery and requiring time-consuming recalibration processes, often necessitating clinic visits.
Innovation Solution
A system that updates posture state definitions by comparing sensor data from a single posture state to stored definitions, adjusting all definitions based on the difference, allowing recalibration without extensive patient effort or clinic visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional recalibration methods are used requiring patients to assume multiple posture states, then measurement precision of posture state definitions is improved, but loss of time and patient burden increases
Solution Approach 1:
The system performs recalibration using data from only one posture state (partial action) rather than requiring all possible posture states. The calibration data derived from this single posture is then applied to adjust multiple posture state definitions, reducing the recalibration burden while maintaining acceptable accuracy across all postures
Solution Approach 2:
The system performs preliminary calibration during the initial device setup or during a previous calibration session, storing calibration factors that can be applied during subsequent recalibration events. This preliminary calibration data reduces the need for extensive real-time recalibration procedures
2Manufacturing precision
If traditional recalibration methods requiring multiple posture states are used, then manufacturing precision of posture definitions is improved, but device complexity increases
Solution Approach 1:
The system uses calibration data from a single posture state to adjust multiple posture definitions, simplifying the recalibration procedure while maintaining manufacturing precision through mathematical transformation of the calibration data across all posture states
Solution Approach 2:
The system automatically performs the recalibration process using sensor data from the patient's current posture, eliminating the need for complex manual procedures or clinic visits. The device self-adjusts its posture state definitions based on the calibration data obtained
3Measurement precision
If posture state definitions are not updated, then device complexity remains low, but measurement precision deteriorates due to implant rotation or migration
Solution Approach 1:
The system implements a feedback mechanism where calibration requests are generated based on detected conditions (such as excessive manual therapy adjustments or inconsistent posture-activity data). The system then obtains new sensor data, compares it to existing definitions, applies corrections, and stores updated definitions, creating a closed-loop system that maintains accuracy without continuous complex intervention
Solution Approach 2:
The system automatically detects when recalibration is needed and performs the recalibration process without requiring extensive external intervention or complex manual procedures, maintaining measurement precision through self-service operations
Data Source
AI summary
Devices, systems, and techniques for calibrating posture state definitions are described. In one example, a system includes a memory configured to store a plurality of posture state definitions defining a plurality of posture states. The system may also include processing circuitry configured to receive a request to update the plurality of posture state definitions, responsive to receiving the request, and obtain sensor data for one posture state of the plurality of posture states, wherein the sensor data generated while a patient is in the one posture state. The processing circuitry may also determine a difference between the sensor data and a posture state definition of the posture state definitions corresponding to the one posture state, update, based on the difference, the plurality of posture state definitions, and store the updated plurality of posture state definitions in the memory.