Dynamic Sampling Routine for Implantable Medical Devices
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Solution Overview
Problem
Implantable medical devices face reduced battery life due to high power consumption from sensors that require continuous sampling and amplification, leading to potential response lag and inefficiency in detecting physiological events.
Innovation Solution
A dynamic sampling routine that adjusts sampling frequency based on anticipated physiological events, such as respiratory cycles, to reduce energy demand and enhance event detection, using a frequency selector to increase sampling frequency before events occur and decrease it when events are not anticipated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous sampling is used to detect physiological events, then detection reliability is improved, but energy consumption increases
Solution Approach 1:
The sampling frequency is dynamically adjusted based on detected physiological events. When events are detected, the sampling frequency increases to capture detailed event characteristics. Between events, the sampling frequency decreases to conserve energy, resolving the contradiction between reliable detection and energy consumption.
Solution Approach 2:
The system uses periodic sampling at variable intervals rather than continuous sampling. The sampling occurs in cycles where the frequency adapts based on event detection status, allowing the system to maintain detection capability while reducing overall energy consumption through intermittent operation.
2Measurement precision
If high sampling frequency is used, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The sampling frequency transitions from low to high dynamically based on event detection. High sampling frequency is applied only when physiological events are detected to ensure measurement precision, while low sampling frequency is used during normal periods to minimize energy consumption.
Solution Approach 2:
The system changes the sampling frequency parameter adaptively. When events are detected, the sampling frequency parameter increases to improve measurement precision. When no events are present, the parameter decreases to reduce power consumption, optimizing the trade-off between precision and energy use.
3Use of energy by moving object
If low sampling frequency is used, then energy consumption is reduced, but response time increases
Solution Approach 1:
The sampling frequency adapts dynamically to balance energy consumption and response time. During normal operation, lower sampling frequency conserves energy. When events are detected or anticipated, the frequency increases immediately to reduce detection response time, ensuring timely capture of physiological events.
4Measurement precision
If continuous amplification is used, then signal quality is improved, but battery life decreases
Solution Approach 1:
Signal amplification is performed periodically rather than continuously. The amplification circuit operates at high gain when events are detected to maintain signal quality, and reduces operation between events to extend battery life, resolving the contradiction between signal quality and battery duration.
Data Source
AI summary
Dynamic sampling of physiological parameters based on the next anticipated occurrence of a relatively periodic physiological event. Embodiments of the invention may be used to increase the battery life or effective data storage capacity of implantable medical devices while retaining or improving measurement resolution.