Accelerometer Sit-To-Stand Analysis for Patient Functional Status
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Solution Overview
Problem
Existing medical devices lack an objective measure to determine patient functional status based on accelerometer-generated data, which is crucial for guiding therapies and assessing changes in well-being.
Innovation Solution
A medical device system that includes accelerometer circuitry to generate sagittal, vertical, and transverse axis signals, and processing circuitry to calculate a patient-specific functional status parameter from these signals, particularly during a Sit-To-Stand test, enabling communication with external devices for data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accelerometer-generated data is collected and processed to determine patient functional status, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The implantable medical device is configured to perform multiple functions: traditional cardiac monitoring and therapy delivery, plus the new function of collecting accelerometer data and processing it to determine functional status. This multi-functionality allows the device to provide comprehensive patient monitoring without requiring separate dedicated devices, thereby improving measurement precision while managing device complexity through integration.
Solution Approach 2:
The processing circuitry acts as an intermediary between the accelerometer sensors and the functional status determination. It receives raw accelerometer signals, processes them through algorithms to extract meaningful motion patterns, and generates functional status indicators. This intermediary processing layer transforms complex raw data into interpretable clinical information, improving measurement precision while keeping the system manageable.
2Measurement precision
If multiple axis signals are processed to calculate functional status parameters, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The accelerometer data processing is segmented into distinct computational stages: individual axis signal processing, combination of multiple axes, and final functional status parameter calculation. Each stage processes specific aspects of the motion data independently, allowing for targeted analysis of different motion components while preserving relevant information and minimizing unnecessary data loss.
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
Provides an objective measure of patient functional status, helping to determine whether health is improving, declining, or stable, by leveraging accelerometer-generated data to guide therapeutic interventions.
Implementation Method 1
accelerometer circuitry configured to generate a plurality of signals including a sagittal axis signal, a vertical axis signal and a transverse axis signal
Data Source
AI summary
A medical device system that includes accelerometer circuitry configured to generate signals including a sagittal axis signal, a vertical axis signal and a transverse axis signal, and processing circuitry configured to calculate a patient-specific functional status parameter associated with a Sit-To-Stand test from at least one of the sagittal axis signal, the vertical axis signal and the transverse axis signal.