Implantable Temperature Sensor Infection Detection
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Solution Overview
Problem
Current methods for detecting infections associated with implanted medical devices are inadequate, as they often rely on invasive procedures and lack early detection capabilities, leading to potential device explantation and aggressive systemic drug treatment.
Innovation Solution
An implantable medical device equipped with temperature sensing technology that utilizes signal processing techniques and algorithms, such as sliding window detection models and multiple low-pass-filter integration models, to accurately determine infection status by distinguishing temperature changes caused by device pocket infections from daily fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If temperature monitoring is used to detect infections, then early detection capability is improved, but measurement precision deteriorates due to temperature fluctuations from daily variations and device heating
Solution Approach 1:
The system dynamically adapts temperature thresholds based on historical data and patient-specific patterns. The detection algorithm evolves over time by learning normal temperature variations for each patient, allowing the system to distinguish between benign fluctuations and infection-related temperature changes, thereby maintaining high measurement precision while enabling early detection
Solution Approach 2:
The system implements continuous feedback loops where temperature measurements are constantly monitored, analyzed, and used to adjust detection parameters. The algorithm processes ongoing temperature data, compares it against learned baselines, and provides real-time infection status assessments, enabling the system to maintain precision while detecting early infection signs
2Measurement precision
If multiple signal processing techniques are applied to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The signal processing system is divided into multiple independent modules, each handling a specific aspect of temperature analysis. This segmentation allows the complex detection task to be broken down into manageable components that can be processed separately and efficiently, reducing overall system complexity while maintaining high detection accuracy
Solution Approach 2:
The processing circuitry is designed to perform multiple functions using a unified architecture. The same hardware components handle data acquisition, signal filtering, pattern recognition, and decision-making, eliminating the need for separate dedicated circuits for each function and thereby reducing device complexity while maintaining comprehensive detection capabilities
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 early and accurate detection of infections, reducing the need for device explantation and aggressive treatments by providing timely intervention, thereby improving patient outcomes and reducing healthcare costs.
Implementation Method 1
an implantable medical device (IMD) that comprises at least one temperature sensing device
Data Source
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AI summary
Techniques for detecting infections in a patient in relation to temperature values obtained from implantable temperature sensors are described. An example implantable temperature sensor may be included within a housing of an implantable medical device (IMD). In some examples, the temperature sensor may determine a plurality of temperature values over time. Processing circuitry of the IMD or of an external device may smooth the temperature values and apply an infection detection model to the smoothened temperature signal to determine an infection status of the patient.