Patient Position Monitoring Hub with Calibration Sensor

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Solution Overview

Problem

Existing patient monitoring systems face challenges in accurately determining patient position and activity, especially in wireless monitoring systems where data acquisition devices are attached and detached, due to the need for calibration of position sensors to account for individual body variations and misalignment.

Innovation Solution

Incorporating a calibration position sensor within a central hub device that aligns with position sensors attached to the patient to create a calibration map, correlating measurements from both sensors to accurately interpret patient position, using a combination of accelerometers, gyroscopes, and magnetometers for precise alignment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If position sensors are attached to the patient for monitoring, then patient position data can be collected, but accurate determination of patient position is difficult due to individual body variations and sensor misalignment

Engineering Contradiction:
Improvepatient position measurement accuracyVSAvoidcalibration system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

A calibration position sensor is attached to the hub device as an intermediary tool. This sensor serves as a reference that bridges the hub device's coordinate system and the patient's body coordinate system, enabling accurate position determination without requiring complex direct sensor-to-body alignment

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The calibration process is performed preliminarily before actual patient monitoring begins. The hub device is positioned relative to the patient's body and the calibration position sensor records reference measurements, creating a calibration map that is stored and used for all subsequent position measurements

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If multiple data acquisition devices are used to monitor physiological data, then comprehensive patient monitoring is achieved, but device alignment and position sensor calibration become more complex

Engineering Contradiction:
Improvemonitoring system versatilityVSAvoidsensor calibration complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The calibration position sensor serves multiple functions: it calibrates the hub device's position sensor, establishes the coordinate transformation matrix, and validates the accuracy of position measurements. This single sensor handles multiple calibration and verification tasks across different monitoring devices

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

Solution Approach 2:

The system incorporates feedback through the calibration process where the hub device compares position measurements from its sensor with readings from the calibration position sensor. This feedback loop enables automatic adjustment and verification of the calibration map, ensuring accurate position determination across multiple devices

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10806399B2Method and system of measuring patient position
Publication Date: 2020.10.20 GE PRECISION HEALTHCARE LLC
  • US10806399B2 patent drawing
  • US10806399B2 patent drawing
  • US10806399B2 patent drawing

AI summary

A method of measuring patient position by a patient monitoring system includes providing a first position sensor attachable to a portion of the patient, and providing a hub device that includes a calibration position sensor. A first calibration position measurement is received from the calibration position sensor while the hub device is aligned with the portion of the patient where the first position sensor is attached. A first patient position measurement is received from the first position sensor, and then a calibration map is determined for the first position sensor based on a difference between the first calibration position measurement and the first patient position measurement. Position measurement data is then received from the first position sensor, and a patient position is determined based on the position measurement data and the calibration map.