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Although HRV (Heart Rate Variability) analyses have been carried out forseveral decades, several limiting factors still make these analyses uselessfrom a clinical point of view. The present paper aims at overcoming some ofthese limits by introducing the "Life Potential" (BMP), a new mathematicalalgorithm which seems to exhibit surprising cognitive and predictivecapabilities. BMP is defined as a linear combination of five HRV Non-LinearVariables, in turn derived from the thermodynamic formalism of chaotic dynamicsystems. The paper presents experimental measurements of BMP (Average Valuesand Standard Deviations) derived from 1048 Holter tests, matched in age andgender, including a control group of 356 healthy subjects. The main resultsare: (a) BMP always decreases when the age increases, and its dependence on ageand gender is well established; (b) the shape of the age dependence within"healthy people" is different from that found in the general group: thisbehavior provides evidence of possible illness, and seems to justify theattribute of "life potential". A simplified "standard" procedure is thensupplied to compute BMP values for a given subject, whereas BMP dependence onclinical status is now under investigation to make BMP a useful clinical tool.

The "Life Potential": a new complex algorithm to assess "Heart Rate  Variability" from Holter records for cognitive and diagnostic aims.  Preliminary experimental results showing its dependence on age, gender and  health conditions