The Heart as a Computer

The Heart as a Computer .

Andre Willers

18 Oct 2013

This is not medical advice .

Synopsis :

The Heart organ can be described as a computer roughly equivalent to an old XT (~16kb/sec)

Discussion :

1.See Appendix A.

Information in HRV per heartbeat 1 hz = ((0.15-.07)*1)^-1 = 156 bits

In double “lub-dub” , information  = 156^2 = 16384 bits hidden in frequency interference.

The heart programs a lot of bodily responses .

2.Damage to half of the heart :

Immediate loss of half of system responsiveness .

3.How to compensate :

Programmed Percussion .

If the medical systems did their job , there would be an exact pattern of percussions to mimic a healthy heart .

Since they didn’t , try heavy rock with big speakers that cause visceral effects .

4.The body can adapt easier to a strong signal than to a weak one .

5. Beta blockers are immaterial . At least one heavy percussion rhythm is needed for the system to retrain using at least periods between beats in interference mode .

6.You will live longer if you listen to a loud orchestra .

Oompah-Oompah

Andre

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Appendix A

http://www.uni-obuda.hu/journal/Hercegfi_31.pdf

After analysing the variability of the RR intervals, a number of studies [11] [12]

[19] [22] [25] [26] [29] [30] [32] [35] have shown that an increase in mental load

causes a decrease in the so-called mid-frequency (MF, 0.07-0.15 Hz) power band

of the Heart Period Variability (HPV) power spectrum. Focusing on this

frequency band filters other peaks of the power spectrum: the typical peak in the

0.15-0.45 Hz band corresponds to the respiratory rate (called respiratory sinus

arrhythmia); the peak in the 0.04-0.07 Hz band is in connection with the

thermoregulatory fluctuations of the blood vessels [12] [19]. Heart rate

fluctuations in the MF (0.07-0.15 Hz) power band may also reflect postural

changes (via the blood pressure control of the so called baroreflex). To separate

the effect of the mental load from the effect of postural changes, a ratio of the MF

component around 0.1 Hz and the higher frequency respiratory component can be

applied [30]. However, it is emphasised that if the participants work continuously

in a sitting posture (e.g., during computer usage), and their larger muscle

movements (e.g., stretching, laughing, sneezing, talking, etc.) eventually are

filtered from the records (e.g., via video analysis), the MF (0.07-0.15 Hz) power

band itself can characterize the mental effort sensitively enough, as is shown by

the following results presented in this paper.

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