18271943. BLOOD PRESSURE ESTIMATION simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
- 1 BLOOD PRESSURE ESTIMATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 BLOOD PRESSURE ESTIMATION - 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 Blood Pressure Estimation
- 1.13 Original Abstract Submitted
BLOOD PRESSURE ESTIMATION
Organization Name
Inventor(s)
Koen Theo Johan De Groot of Sevenum (NL)
Reinder Haakma of Eindhoven (NL)
Jozef Hubertus Gelissen of Herten (NL)
BLOOD PRESSURE ESTIMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18271943 titled 'BLOOD PRESSURE ESTIMATION
Simplified Explanation
The patent application describes a computer-implemented method for estimating blood pressure by analyzing blood volume and respiration signals of a subject.
- The method involves processing blood volume and respiration signals to identify cardiac cycles and respiration cycles of the subject.
- A subset of blood volume signal segments is selected based on the corresponding respiration cycle phase.
- Blood pressure is estimated using morphology features of the selected blood volume signal segments.
Key Features and Innovation
- Utilizes blood volume and respiration signals to estimate blood pressure.
- Selects specific blood volume signal segments based on respiration cycle phases.
- Analyzes morphology features of the selected segments for accurate blood pressure estimation.
Potential Applications
This technology can be used in medical devices for non-invasive blood pressure monitoring. It may also have applications in wearable health trackers for continuous blood pressure monitoring.
Problems Solved
Provides a method for estimating blood pressure without invasive procedures. Allows for real-time monitoring of blood pressure using existing signals.
Benefits
Enables more convenient and continuous blood pressure monitoring. Reduces the need for invasive procedures for blood pressure measurement.
Commercial Applications
- Title: Non-Invasive Blood Pressure Monitoring Technology
- This technology can be integrated into medical devices for hospitals and clinics.
- It can also be incorporated into wearable health devices for consumer use, potentially expanding the market for such products.
Prior Art
Further research can be conducted on similar methods of estimating blood pressure using physiological signals.
Frequently Updated Research
Stay updated on advancements in non-invasive blood pressure monitoring technology for potential improvements in accuracy and efficiency.
Questions about Blood Pressure Estimation
How accurate is the blood pressure estimation compared to traditional methods?
The accuracy of the estimation can vary based on the quality of the signals and the algorithm used for analysis. Further studies may provide more insights into the accuracy of this method.
What are the limitations of using blood volume and respiration signals for estimating blood pressure?
Limitations may include signal noise, variability in individual physiological responses, and the need for calibration to ensure accurate estimations. Ongoing research aims to address these limitations for improved performance.
Original Abstract Submitted
According to an aspect, there is provided a computer-implemented method of estimating blood pressure of a subject. The method comprises (i) processing () a first blood volume signal to identify a plurality of blood volume signal segments each corresponding to a respective cardiac cycle of the subject, wherein the first blood volume signal comprises measurements of blood volume or changes in blood volume in a body part of the subject in a first time period; (ii) processing () a first respiration signal to identify a plurality of respiration cycles of the subject in the first time period, wherein the first respiration signal represents respiratory activity of the subject during the first time period, and wherein each respiration cycle comprises a plurality of respiration cycle phases; (iii) selecting () a subset of the plurality of blood volume signal segments, wherein the blood volume signal segments selected for the subset are blood volume signal segments corresponding in time to a same respiration cycle phase in the plurality of respiration cycles; and (iv) estimating () blood pressure of the subject based on morphology features of the blood volume signal segments in the subset.
