Adaptive Optical Sensor for Pulse Oximetry
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Solution Overview
Problem
Pulse oximetry sensors face interference from tissue variability and sensor placement issues due to heterogeneity in tissue structure and vasculature, leading to inconsistent blood oxygen saturation measurements.
Innovation Solution
Adaptive optical sensors with emitters and detectors that adjust light intensity and wavelength profiles based on tissue characteristics, using microelectromechanical systems and digital light processing arrays to optimize signal strength and reduce interference, allowing for real-time calibration and adaptation to individual patient conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional pulse oximetry sensors are used with fixed light sources and detectors, then the device complexity is low, but measurement precision deteriorates due to tissue variability and sensor placement issues
Solution Approach 1:
The patent applies dynamics by making the light source and detector properties adjustable rather than fixed. The light source can dynamically change wavelength and intensity profiles, while the detector can adapt its sensitivity and sampling rate. This dynamic adjustment allows the sensor to compensate for tissue variability and placement issues, improving measurement precision without requiring an entirely complex redesign of the sensor architecture.
Solution Approach 2:
The patent implements parameter changes by varying multiple parameters of the light source (wavelength, intensity, pulse width) and detector (gain, sampling rate, filtering) to optimize measurements under different tissue conditions. By changing these parameters in response to detected tissue characteristics or measurement quality, the system maintains high measurement precision while using a relatively simple base sensor design.
2Measurement precision
If adaptive optical sensors with real-time calibration are implemented, then measurement precision improves, but device complexity increases due to additional components and processing requirements
Solution Approach 1:
The patent applies feedback by continuously monitoring measurement quality metrics and using this information to adjust sensor parameters in real-time. The system detects tissue characteristics such as scattering properties and blood flow patterns, then feeds this information back to control the light source and detector parameters. This feedback mechanism enables adaptive optimization of measurement precision while keeping the overall system architecture manageable through intelligent control rather than hardware complexity.
Solution Approach 2:
The sensor system implements self-service by automatically calibrating and optimizing its own performance based on detected tissue characteristics without requiring external intervention. The system performs real-time adaptation of its parameters based on the measured signal quality and tissue properties, effectively servicing its own optimization needs. This self-service capability improves measurement precision while avoiding the need for complex external calibration equipment or manual adjustment mechanisms.
3Adaptability or versatility
If conventional fixed light sources are used, then manufacturing precision requirements are low, but adaptability to different tissue types deteriorates
Solution Approach 1:
The patent applies dynamics by implementing adjustable light source parameters (wavelength, intensity, pulse characteristics) that can be modified based on the detected tissue type and characteristics. This dynamic capability allows a single sensor design to adapt to various tissue types (skin, mucosa, ear, finger) and individual patient variations. The manufacturing remains relatively simple using standard LED or laser diode components that can be electronically controlled, avoiding the need for complex custom optical systems for each tissue type.
Solution Approach 2:
The patent implements universality by designing a single sensor platform that can measure multiple physiological parameters (blood oxygen saturation, pulse rate, tissue perfusion) and adapt to different tissue locations and types. The multi-functional capability is achieved through software-controlled parameter adjustment rather than multiple specialized hardware systems, maintaining ease of manufacture while significantly improving adaptability to different patient conditions and measurement sites.
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
Improves measurement accuracy by optimizing light distribution and detection, reducing variability and enhancing signal quality, leading to more reliable physiological parameter monitoring.
Implementation Method 1
Pulse oximeters typically utilize a non-invasive sensor that transmits light through a patient's tissue and that photoelectrically detects the absorption and/or scattering of the transmitted light in such tissue
Implementation Method 2
the light passed through the tissue is typically selected to be of one or more wavelengths that may be absorbed or scattered by the blood in an amount correlative to the amount of the blood constituent present in the blood
Implementation Method 3
photoelectrically detects the absorption and/or scattering of the transmitted light in such tissue
Implementation Method 4
a non-invasive sensor that transmits light through a patient's tissue and that photoelectrically detects the absorption and/or scattering of the transmitted light in such tissue
Data Source
AI summary
According to embodiments, sensors and systems for medical spectroscopy may include adaptive optical components, such as digital light processing components. Adaptive light emitting elements may allow such sensors to alter the intensity profile of emitted light photons to change the distribution of photons through the tissue or to scan areas of tissue to determine if certain areas may be associated with improved measurements. In addition, sensors with adaptive light detecting elements as provided may adapt to selectively detect light of certain wavelengths or from certain regions of the tissue.