Typical mistakes of the “VedaPulse” beginners

2015-02-09

In the process of new users’ training, we have found that all of them make the same mistakes. Let’s consider them with the specific case study. This material should be read by all who have just purchased a hardware-software “VedaPulse” kit and makes the first steps in the device’s mastering. Let’s look backward over earlier mistakes.

1. Poor contact.
The conductivity of the skin is very individual. If you register such a chaotic signal, it means that it is not enough just to place electrodes on the patient’s wrists.


You must take the additional steps to reduce the resistance. The professional solution is to lubricate the contact surfaces of electrodes with the special conductive gel. But in practice, you can simply moisten wrists using water. Even cardio-emergency doctors do this way, so we can do the same. But do not use distilled water. It does not conduct electricity.
And this is how the signal looks like, if you provide a good contact. As they say, feel the difference.

2. The threshold was set incorrectly.

Most likely, the user has specified a value of 100 mkV, but in this case it was required to choose 90. And, if the first graph R-wave has been detected and there was an icon-heart on ECG at the moment of its registration, then the next two in a row were ignored because the impulses were a bit less than 100 mkV. If it slipped once or twice, you can, even during the reception of the signal, change the value of the amplitude, and edit manually the artifacts that had already appeared. You can read more about the editing procedure in the device’s instructions.
Sometimes we can see both errors simultaneously – poor contact and the incorrectly set threshold value. Pay attention to this fact, please.
Once I faced the case, when the VedaPulse user has not corrected his mistake and supposed the received incorrect data to be an arrhythmia. By the way, arrhythmia and artifacts, as a result of the user’s mistake, look very similar on cardiointervalogramm and scatterogram. The only way to distinguish them for sure is to explore the original ECG signal.

3. Signal recording in people with arrhythmia.


The program algorithm is based on the interpretation of the pulse. And, if instead of the rhythm, there would be complete chaos, this analysis method is not applicable.
Below you can find the graphs for comparison. In this case, here is no arrhythmia. That is, the analysis is possible.

4. Observations in children.
Then, talking about recommendations on herbal, aromatherapy, diet, and supplements, there is no any difficulties. The program will compile recommendations. But the interpretation of the results in the HRV tab requires some amendment. The children have much more frequent pulse, and also there are other differences. Currently, the software algorithm of automatic conclusion writing does not take into account the “age amendment”, that’s why it requires to have additional specialized knowledge to decrypt the results of children observation.