18288403. DETERMINING BLOOD PRESSURE simplified abstract (KONINKLIJKE PHILIPS N.V.)

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DETERMINING BLOOD PRESSURE

Organization Name

KONINKLIJKE PHILIPS N.V.

Inventor(s)

CHRISTOPH FLORIAN Franck of Magstadt (DE)

DETERMINING BLOOD PRESSURE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18288403 titled 'DETERMINING BLOOD PRESSURE

The computer-implemented method described in the abstract is used to determine the blood pressure of a subject by analyzing measurements of blood flow in a body part for different degrees of restriction.

  • The method involves receiving an envelope data set containing these measurements.
  • A set of probability density functions (PDFs) is then used to determine the likelihoods of obtaining the measurements for different pairs of systolic and diastolic blood pressure values.
  • The systolic and diastolic blood pressure values for the subject are determined as the pair that provides the highest likelihood for the envelope data set.

Potential Applications: - Medical diagnostics - Remote health monitoring - Personalized healthcare

Problems Solved: - Non-invasive blood pressure monitoring - Efficient and accurate blood pressure measurement

Benefits: - Improved accuracy in determining blood pressure - Non-invasive method for monitoring blood pressure - Personalized healthcare based on individual measurements

Commercial Applications: Title: "Innovative Blood Pressure Determination Method for Healthcare Industry" This technology can be used in medical devices for blood pressure monitoring, telemedicine applications, and healthcare analytics software.

Questions about the technology: 1. How does this method compare to traditional blood pressure measurement techniques?

  - This method offers a non-invasive and potentially more accurate way to determine blood pressure compared to traditional methods.

2. What are the potential limitations of using probability density functions to determine blood pressure values?

  - The accuracy of the method may be influenced by the quality and quantity of data in the envelope data set.


Original Abstract Submitted

According to an aspect, there is provided a computer-implemented method of determining blood pressure of a subject. The method comprises receiving () an envelope data set for the subject. The envelope data set comprises measurements of blood flow in a body part of the subject for respective different degrees of restriction applied to the body part. Next the method comprises using () a set of probability density functions, PDFs, to determine respective likelihoods for obtaining the measurements in the envelope data set for different pairs of values of the systolic blood pressure and diastolic blood pressure. Finally, the method comprises determining () the systolic blood pressure and the diastolic blood pressure for the subject as the pair of values of the systolic blood pressure and diastolic blood pressure that provides the highest likelihood for the envelope data set.