Photoplethysmography Sensor Fusion for Adaptive Medical Therapy
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Solution Overview
Problem
Conventional medical devices often lack the capability to effectively leverage sensor data from multiple sensors to modulate therapeutic delivery in response to varying patient conditions over time, leading to inefficient treatment and resource allocation.
Innovation Solution
A medical device system incorporating a photoplethysmography (PPG) sensor and additional sensors to detect and monitor biomarker parameters, enabling dynamic adjustment of therapy based on multiple data sources, including heart rate, respiration, and other vital signs, to improve treatment efficacy and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to monitor biomarker parameters, then measurement precision and treatment accuracy are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensors (PPG sensor, accelerometer, gyroscope, temperature sensor) into a single integrated medical device unit. This merging approach allows the device to collect multiple biomarker parameters (heart rate, respiratory rate, activity level, body temperature) simultaneously, improving measurement precision while managing device complexity through integration rather than separate devices
Solution Approach 2:
The medical device is designed with multi-functionality, serving as both a monitoring device and a therapy delivery device. The same device that collects biomarker data also delivers therapeutic treatments (electrical stimulation, drug administration), eliminating the need for separate monitoring and treatment devices, thus improving precision without proportionally increasing complexity
2Reliability
If real-time biomarker monitoring is implemented, then treatment efficacy is improved, but energy consumption increases
Solution Approach 1:
The device implements periodic sampling of biomarker parameters rather than truly continuous monitoring. The processor collects data at predetermined intervals and adjusts therapy based on these periodic measurements. This approach maintains treatment efficacy by detecting significant changes in patient condition while reducing energy consumption compared to constant real-time monitoring
Solution Approach 2:
The system uses feedback mechanisms where biomarker data is collected and used to automatically adjust therapy delivery. The processor continuously monitors parameters and modulates treatment in response to detected changes, ensuring treatment efficacy while optimizing energy use by only consuming significant energy when therapy adjustment is needed rather than maintaining constant high-power operation
3Adaptability or versatility
If therapy is dynamically adjusted based on multiple sensors, then adaptability is improved, but device complexity increases
Solution Approach 1:
The therapy delivery is made dynamic and adaptive rather than static. The device adjusts treatment parameters in real-time based on changing biomarker readings from multiple sensors. This dynamic adaptation allows the therapy to respond to patient condition changes, improving versatility while the integrated design keeps complexity manageable
Solution Approach 2:
The device incorporates self-service capabilities where the processor automatically analyzes biomarker data and adjusts therapy without requiring external intervention. The system serves itself by autonomously modulating treatment based on sensor inputs, improving adaptability while reducing the complexity burden on external control systems or healthcare providers
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
Enhances patient care and treatment outcomes by allowing real-time adjustment of therapies such as electrical stimulation and drug administration based on continuous biomarker monitoring, improving compliance and accuracy in treating conditions like sleep apnea and hypertension.
Implementation Method 1
PPG refers to acquiring a volumetric organ measurement by optical means. Frequently, pulse oximeters are employed, which detect changes in light absorption properties of the human skin.
Data Source
AI summary
The disclosure provides systems and methods for detecting, monitoring, and/or treating obstructive sleep apnea, as well as other conditions, using vital sign and/or biometric data collected and/or imputed from one or more photoplethysmography sensors in conjunction with vital sign and/or biometric data from one or more additional sensors such as activity, body position, ECG, HR, or SpO2 levels, e.g., as feedback to control therapy and/or to titrate therapy on a periodic basis.