Blood Pump Motor Control for Occlusion Detection
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Solution Overview
Problem
Current blood pump monitoring systems are complex, large, costly, and unreliable, particularly in differentiating between pump occlusion and physiological conditions, which complicates the estimation of pump flow rate and can lead to inefficiencies and inaccuracies.
Innovation Solution
A control system that analyzes driving and response signals from a blood pump motor to differentiate between pump events such as occlusion and physiological events like hypertension, using phase-and-power analysis, amplitude-and-power analysis, and frequency-domain analysis without the need for additional hardware, allowing for accurate detection and quantification of pump occlusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flow meters and pressure transducers are incorporated into blood pumps to monitor pump occlusion and differentiate conditions, then measurement precision is improved, but device complexity, size, and cost increase
Solution Approach 1:
The motor controller performs monitoring functions using its existing resources (processor, memory, sensors already present for motor control). The system uses self-diagnostic capabilities to detect pump occlusion and differentiate between pump events and physiological conditions without requiring separate dedicated monitoring hardware.
Solution Approach 2:
The motor controller is designed to serve multiple functions: it controls motor operation, monitors pump performance, detects occlusion events, and differentiates between pump and physiological conditions. This multi-functionality eliminates the need for separate specialized monitoring devices.
2Measurement precision
If flow meters and pressure transducers are added to monitor pump flow and pressure, then measurement precision is improved, but the surgical procedure complexity increases
Solution Approach 1:
The system uses existing sensors and the motor controller's computational capabilities to perform monitoring functions that would otherwise require separate surgical implantation of flow meters and pressure transducers. The motor controller analyzes data from its existing sensors to derive flow and pressure information.
3Object-affected harmful factors
If sensors are encapsulated or coated with biological materials, then biocompatibility is improved, but the sensors become unfit for long-term use
Solution Approach 1:
The motor controller performs monitoring and analysis functions using its existing internal resources without requiring external sensors that would need to be encapsulated or coated. The system uses computational analysis of existing sensor data to achieve monitoring capabilities that avoid the biocompatibility-longevity trade-off.
4Measurement precision
If additional hardware is added to differentiate between pump occlusion and physiological conditions, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The motor controller uses its existing processor and memory to perform complex signal processing and pattern recognition that differentiates between pump occlusion and physiological conditions. The system analyzes existing sensor data through computational algorithms rather than requiring additional specialized hardware.
Solution Approach 2:
The patent replaces additional mechanical sensors and hardware with computational analysis methods. The motor controller uses software algorithms to process and interpret data from existing sensors, substituting physical measurement hardware with information processing capabilities.
Data Source
AI summary
A fluid delivery system includes an electric motor, a pump driven by the electric motor, and a control system. The control system is programmed to supply a variable voltage to the electric motor, to sense a response of a current of the electric motor to the variable voltage, and to obtain frequency domain information about the response of the current of the electric motor.