Cuffles blood pressure measurement regression equation

In summary, the paper "Continuous measurement of systolic blood pressure using the PTT and other parameters," presented at the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, discusses a regression equation for measuring blood pressure using pulse transit time (PTT), weight, and arm length. However, concerns have been raised about the accuracy of this method and its comparison to other methods. The paper aims to introduce a non-intrusive approach for measuring blood pressure without the use of a cuff.
  • #1
fonda99
2
0
Has anyone tried to apply the following regression equation appeared in the paper "Continuous measurement of systolic blood pressure using the PTT and other parameters" (Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005):

SystolicBP = 85.862 -119,27 PTT +0.259 weight + 0.439 arm length

(Blood pressure in mmHg, PTT is Pulse Transit Time[ms], weight[Kg], arm length[cm])

Nice linear relationship but I get absurd values for BP.
Any help is greatly appreciated.
 
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  • #2
I had never heard of it before, and had to look up what pulse transit time is. Other reputable sources refer to it as directly proportional to blood pressure, but if that's the case, then factoring in weight doesn't make sense. I also suspect it ought to then not be arm length, but the distance between the two pulse points being used to measure PTT. For example, if you're measuring transit time between brachial and radial pulses, it might matter the length of the forearm, not the arm. It seems to me that it would be more difficult to accurately measure PTT than BP. Did the article offer any reason to choose one method over the other?
 
  • #3
Oops, sorry for lack of infos.
Pulse transit time is the time interval between the R peak of electrocardiogram (ECG) and the systolic peak of the signal recorded through the photoplethysmograph at one finger (the signal is created by the sensor which detects the reflectance variations of an illuminating infrared beam in the finger). Larger the pressure, smaller the pulse transit time (PTT), so it is inversely related to blood pressure. The article doesn't compare the method with other methods; its aim is to introduce a method to avoid blood pressure calibration and cuff usage, to measure systolic pressure of any subject in a non intrusive way.
 
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FAQ: Cuffles blood pressure measurement regression equation

1. What is the Cuffles blood pressure measurement regression equation?

The Cuffles blood pressure measurement regression equation is a mathematical formula that is used to predict blood pressure levels based on various factors such as age, weight, height, and other health indicators. It is often used in medical research and clinical settings to determine a person's risk for developing high blood pressure.

2. How accurate is the Cuffles blood pressure measurement regression equation?

The accuracy of the Cuffles blood pressure measurement regression equation depends on the quality and quantity of data used to develop the equation. Generally, it is considered to be a reliable tool for predicting blood pressure levels, but it is not 100% accurate. Factors such as individual variations and other health conditions can affect the accuracy of the equation.

3. Can the Cuffles blood pressure measurement regression equation be used for all populations?

No, the Cuffles blood pressure measurement regression equation may not be applicable to all populations. It is often developed using data from a specific population, and its accuracy may vary when applied to other populations. It is important to consider the demographics and characteristics of the population when using this equation.

4. How is the Cuffles blood pressure measurement regression equation calculated?

The Cuffles blood pressure measurement regression equation is calculated using statistical methods such as linear regression. This involves analyzing data from a sample population to determine the relationship between blood pressure and other factors. The resulting equation is then used to predict blood pressure levels in other individuals with similar characteristics.

5. Is the Cuffles blood pressure measurement regression equation a substitute for medical advice?

No, the Cuffles blood pressure measurement regression equation should not be used as a substitute for medical advice. It is a tool that can provide insights into a person's risk for developing high blood pressure, but it should not be used to diagnose or treat any medical condition. It is important to consult a healthcare professional for personalized medical advice and treatment.

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