Implantable Temperature Monitoring for Heat-Responsive Cardiac Therapy
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Solution Overview
Problem
Patients with heart diseases and compromised cardiac response are unable to adequately increase heart rate for heat dissipation during elevated body temperatures, leading to potential degradation of quality of life and increased morbidity and mortality.
Innovation Solution
An implantable medical device (IMD) system that collects treatment and diagnostic temperature data at different rates, analyzes this data using processors, and communicates alerts or adjusts treatment based on temperature changes, optionally incorporating physiological data to identify health trends and status changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the IMD collects temperature data continuously at a high rate to provide real-time treatment adjustments, then treatment responsiveness is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts the temperature data collection rate based on operational mode. In treatment mode, the device collects temperature data at a first rate optimized for real-time treatment adjustments. In diagnostic mode, it collects at a lower second rate, and in hybrid mode, it switches between rates based on detected conditions. This dynamic adaptation resolves the contradiction by providing high-speed data collection only when treatment responsiveness is needed.
Solution Approach 2:
The system changes the data collection parameter (sampling rate) based on the operational mode and clinical context. By varying the temperature measurement frequency between different modes and conditions, the system optimizes the balance between treatment responsiveness and energy consumption, collecting data more frequently when treatment intervention is required and less frequently during stable diagnostic monitoring.
2Measurement precision
If the IMD provides comprehensive real-time monitoring of multiple physiological parameters, then diagnostic accuracy is improved, but device complexity increases
Solution Approach 1:
The system segments monitoring into distinct operational modes (treatment mode, diagnostic mode, hybrid mode) with different parameter sets. Each mode focuses on specific physiological parameters relevant to that clinical scenario, allowing comprehensive monitoring when needed while simplifying the active monitoring scope during other periods, thus managing device complexity through functional segmentation.
Solution Approach 2:
The IMD is designed with multi-functionality to perform both treatment delivery and diagnostic monitoring within a single device. By integrating multiple physiological sensors and processing capabilities into one platform, the system achieves comprehensive monitoring without proportionally increasing device complexity, as the same hardware infrastructure serves multiple clinical functions.
3Adaptability or versatility
If the system switches between treatment mode and diagnostic mode based on temperature data, then adaptability is improved, but control complexity increases
Solution Approach 1:
The system uses feedback from temperature data and other physiological parameters to automatically determine when to switch between treatment and diagnostic modes. By continuously monitoring clinical indicators and comparing them against predefined thresholds, the device adapts its operational mode without requiring complex external control, using simple feedback mechanisms to manage mode transitions.
Data Source
AI summary
A method for temperature-based diagnosis and treatment using an implantable medical device (IMD) is provided. The method includes collecting treatment temperature data from a temperature sensor of the implantable medical device (IMD) at a first rate in a first mode and collecting diagnostic temperature data from the temperature sensor in a second mode at a second rate that is less than the first rate. The method also includes utilizing one or more processors to perform: in the first mode analyzing the treatment temperature data and delivering a treatment of the IMD based on the treatment temperature data. The method also includes utilizing the one or more processors in the second mode to analyze the diagnostic temperature data and communicate an alert based on the diagnostic temperature data.