Apple inc. (20240130648). SYSTEM AND METHOD FOR ROBUST PULSE OXIMETRY USING ASYMMETRIC DISTANCE-DEPENDENT CALIBRATION simplified abstract
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 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 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 20240130648 titled 'SYSTEM AND METHOD FOR ROBUST PULSE OXIMETRY USING ASYMMETRIC DISTANCE-DEPENDENT CALIBRATION
Simplified Explanation
Estimation of a characteristic of a user's physiological signals can be improved using calibration relationships that may be dependent on a characteristic of the optical sensor, such as spatial or wavelength characteristics of the light emitting components.
- Different calibration relationships can be used for each channel.
- Common calibration relationships can be used for multiple channels with shared distance and/or wavelength characteristics.
- Distance-dependent and/or wavelength-dependent calibration relationships can enhance the robustness of pulse oximetry measurements.
Potential Applications
This technology can be applied in various medical devices and wearable health monitors to improve the accuracy of physiological signal measurements, such as pulse oximeters.
Problems Solved
This innovation addresses the challenge of accurately estimating physiological characteristics by utilizing calibration relationships that consider the specific characteristics of the optical sensor, leading to more reliable measurements.
Benefits
- Enhanced accuracy in physiological signal estimation - Improved robustness of pulse oximetry measurements - Customized calibration relationships for different channels
Potential Commercial Applications
- Medical device manufacturers - Healthcare institutions - Wearable health technology companies
Possible Prior Art
Prior art may include existing pulse oximetry technologies that do not incorporate calibration relationships dependent on specific characteristics of the optical sensor.
Unanswered Questions
How does this technology compare to existing calibration methods in terms of accuracy and reliability?
This article does not provide a direct comparison with existing calibration methods, leaving a gap in understanding the performance of this innovation relative to current practices.
What are the specific spatial and wavelength characteristics that can influence the calibration relationships in this technology?
The article does not delve into the specific spatial and wavelength characteristics that are considered in the calibration relationships, leaving room for further exploration into the technical details of this innovation.
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.
