18456462. SYSTEM AND METHOD FOR ROBUST PULSE OXIMETRY USING ASYMMETRIC DISTANCE-DEPENDENT CALIBRATION simplified abstract (Apple Inc.)
Contents
- 1 SYSTEM AND METHOD FOR ROBUST PULSE OXIMETRY USING ASYMMETRIC DISTANCE-DEPENDENT CALIBRATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR ROBUST PULSE OXIMETRY USING ASYMMETRIC DISTANCE-DEPENDENT CALIBRATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about the Technology
- 1.13 Original Abstract Submitted
SYSTEM AND METHOD FOR ROBUST PULSE OXIMETRY USING ASYMMETRIC DISTANCE-DEPENDENT CALIBRATION
Organization Name
Inventor(s)
Paul D. Mannheimer of Los Altos CA (US)
Albert E. Cerussi of San Jose CA (US)
SYSTEM AND METHOD FOR ROBUST PULSE OXIMETRY USING ASYMMETRIC DISTANCE-DEPENDENT CALIBRATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18456462 titled 'SYSTEM AND METHOD FOR ROBUST PULSE OXIMETRY USING ASYMMETRIC DISTANCE-DEPENDENT CALIBRATION
Simplified Explanation
The patent application discusses how the estimation of a user's physiological signals can be improved by using calibration relationships that depend on characteristics of the optical sensor, such as spatial and wavelength characteristics.
- Different calibration relationships can be used based on the spatial and/or wavelength characteristics of the light emitting components of the emitter.
- Unique calibration relationships can be used for each channel in some examples.
- Common calibration relationships can be used for multiple channels with shared distance and/or wavelength characteristics.
- Utilizing distance-dependent and/or wavelength-dependent calibration relationships can enhance the robustness of pulse oximetry measurements.
Key Features and Innovation
- Improved estimation of physiological signals by using calibration relationships dependent on optical sensor characteristics.
- Different calibration relationships based on spatial and wavelength characteristics of light emitting components.
- Unique or common calibration relationships for channels to enhance accuracy.
- Enhanced robustness of pulse oximetry measurements through distance and wavelength-dependent calibration relationships.
Potential Applications
The technology can be applied in various medical devices and systems that require accurate estimation of physiological signals, such as pulse oximeters, wearable health monitors, and medical monitoring equipment.
Problems Solved
The technology addresses the challenge of accurately estimating physiological signals by utilizing calibration relationships that consider the spatial and wavelength characteristics of optical sensors, improving the reliability and accuracy of measurements.
Benefits
- Improved accuracy and reliability of physiological signal estimation.
- Enhanced robustness of pulse oximetry measurements.
- Better performance of medical devices and systems that rely on accurate physiological signal estimation.
Commercial Applications
- Medical device manufacturing companies can integrate this technology into their products to enhance accuracy and reliability.
- Hospitals and healthcare facilities can benefit from more precise physiological signal measurements for patient monitoring and diagnosis.
Prior Art
There may be existing patents or technologies related to using calibration relationships based on optical sensor characteristics for physiological signal estimation, but further research is needed to determine the specific prior art in this field.
Frequently Updated Research
There may be ongoing research in the field of optical sensor technology and physiological signal estimation that could impact the development and implementation of this technology.
Questions about the Technology
Question 1
How does the technology improve the accuracy of pulse oximetry measurements?
The technology improves accuracy by using calibration relationships that consider spatial and wavelength characteristics of optical sensors, leading to more reliable estimations of physiological signals.
Question 2
What are the potential applications of this technology beyond pulse oximetry?
This technology can be applied in various medical devices and systems that require accurate estimation of physiological signals, such as wearable health monitors and medical monitoring equipment.
Original Abstract Submitted
Estimation of a characteristic of a user's physiological signals can be improved using one or more calibration relationships that may be dependent on a characteristic of the optical sensor. For example, different calibration relationships can be used that are dependent on a spatial characteristic and/or that are dependent on a wavelength characteristic of the light emitting component(s) of the respective emitter of a channel. In some examples, a unique calibration relationship can be used for each channel. In some examples, a common calibration relationship can be used for multiple channels with shared distance and/or wavelength characteristics. Utilizing distance-dependent and/or wavelength-dependent calibration relationships can improve robustness of pulse oximetry measurements.
