Single Accelerometer Separates Right and Left Ventricular Signals
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Solution Overview
Problem
Current cardiac monitoring and control devices lack effective methods for detecting pathological changes in ventricular contraction behavior and monitoring hemodynamics, often requiring multiple sensors that increase energy demand, susceptibility to errors, and stress for both patients and physicians.
Innovation Solution
An implantable medical device equipped with a multi-axial accelerometer and an evaluation unit that separates and analyzes acceleration signals from the right and left ventricles, allowing for the detection of ventricle-specific pathological changes using a single 3D accelerometer placed in the pulmonary artery or aorta, and calculates characteristic values such as the ratio of amplitude values and time delays between ventricular contractions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to monitor both ventricles separately, then measurement precision is improved, but device complexity and energy consumption increase
Solution Approach 1:
The patent combines multiple sensing functions into a single accelerometer located in the aorta. This single sensor captures acceleration signals from both the left and right ventricles simultaneously, eliminating the need for separate sensors in each ventricle while maintaining comprehensive monitoring capability
Solution Approach 2:
The aortic accelerometer serves multiple functions: it monitors left ventricular contraction directly and right ventricular contraction indirectly through transmitted acceleration signals. This multi-functional approach allows one sensor to replace what would traditionally require multiple specialized sensors
2Reliability
If multiple sensors are deployed in different ventricles, then detection capability is improved, but susceptibility to errors increases
Solution Approach 1:
By consolidating sensing into a single aortic location, the system eliminates errors that could arise from spatially separated sensors measuring different physiological conditions. The unified sensing point ensures consistent reference frame and reduces variability in signal acquisition
3Measurement precision
If separate sensors are used for each ventricle, then measurement precision is improved, but energy demand increases
Solution Approach 1:
The patent reduces total energy consumption by replacing multiple active sensors with a single accelerometer. This consolidation halves the number of power-consuming sensing elements while maintaining the ability to detect both ventricular contractions through signal processing
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
Enables efficient monitoring and control of cardiac function by reducing the need for multiple sensors, improving detection of ventricular contractions, and providing specific information for each half of the heart, while also allowing for the detection of arrhythmias and cardiac diseases like cardiac insufficiency, and enabling adjustment of therapy settings based on derived data.
Implementation Method 1
A 3D accelerometer which is implanted for use close to the heart in a suitable position in the pulmonary artery or the aorta, and is used to measure multi-axial acceleration and generate an accelerometer output signal A that reflects the multi-axial acceleration
Data Source
AI summary
An implantable medical device includes a multi-axial acceleration sensor and an evaluation unit connected thereto. The evaluation unit is configured to (1) split the accelerometer output signal into at least two signal components, one of which is associated with a right-ventricular contraction and another of which is associated with a left-ventricular contraction; (2) detect events in the signal components, and/or determine signal features therein; and (3) determine at least one characteristic value K by evaluating the signal components, and/or the events and/or signal features therein.