Cuffless Blood Pressure Monitor Using Isobaric Analysis

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Solution Overview

Problem

Existing blood pressure measurement devices face inaccuracies due to fluctuations in pressure applied by the user, which can lead to errors in diastolic and systolic pressure readings, especially when using cuff-less occlusion methods.

Innovation Solution

The implementation of isobaric analysis to measure the change in arterial area during a heartbeat and compensate for instantaneous pressure changes, using curve-fitting algorithms to create pseudo heartbeats with consistent pressure, allowing for accurate blood pressure measurement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If cuff-less occlusion measurement is used, then device complexity and user comfort are improved, but measurement precision deteriorates due to pressure fluctuations

Engineering Contradiction:
Improvedevice complexityVSAvoidmeasurement precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The system continuously monitors the applied pressure during measurement and uses this feedback to adjust and compensate for pressure fluctuations in real-time, maintaining measurement accuracy despite the simplified cuff-less design

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system dynamically adjusts measurement parameters based on the detected pressure fluctuations, modifying the analysis approach to account for varying pressure conditions and maintain precision without requiring constant pressure application

Inventive Principle:
Principle #35Parameter changes

2Ease of operation

If user applies pressure manually, then ease of operation is improved, but measurement precision deteriorates due to pressure variability

Engineering Contradiction:
Improveease of operationVSAvoidblood pressure reading accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The system provides real-time feedback to the user about the applied pressure level and guides them to maintain appropriate pressure, while simultaneously using this pressure information to compensate for fluctuations in the measurement calculation

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system automatically detects and compensates for pressure variations caused by user action, eliminating the need for users to manually control or monitor pressure application, thereby maintaining both ease of operation and measurement precision

Inventive Principle:
Principle #25Self-service

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

This approach significantly reduces measurement errors by accounting for pressure fluctuations, enhancing the accuracy and reliability of blood pressure readings.

Implementation Method 1

the PPG optical method (using a measurement of the absorption of light by blood in an artery)

Methodology Applied
Scientific EffectLight absorption by blood: Absorption (EM radiation)

Implementation Method 2

a photodetector that detects the intensity of light

Methodology Applied
Scientific EffectPhotodetection: Photoelectric Effect

Data Source

PatentUS20230034358A1Improved personal health data collection
Publication Date: 2023.02.02 LMD IP LLC
  • US20230034358A1 patent drawing
  • US20230034358A1 patent drawing
  • US20230034358A1 patent drawing

AI summary

The invention disclosed herein relates to improvements in the collection personal health data. It further relates to a Personal Health Monitor (PHM), which may be a Personal Hand Held Monitor (PHHM), that incorporates a Signal Acquisition Device (SAD) and a processor with its attendant screen and other peripherals. The SAD is adapted to acquire signals which can be used to derive one or more measurements of parameters related to the health of a user. The computing and other facilities of the PHM with which the SAD is integrated are adapted to control and analyse signals received from the SAD. The personal health data collected by the SAD may include data related to one or more of blood pressure, pulse rate, blood oxygen level (SpO2), body temperature, respiration rate, ECG, cardiac output, heart function timing, arterial stiffness, tissue stiffness, hydration, blood viscosity, blood pressure variability, the concentration of constituents of the blood such as glucose or alcohol and the identity of the user.