Sentence examples for between two interbeat intervals from inspiring English sources

The AIIA method uses the Simple K-Means algorithm for symbolization, which offers a new way to represent subtle variations between two interbeat intervals without human intervention.

The AIIA method presented here uses the Simple K-Means algorithm for symbolization, which offers a new way to represent subtle variations between two interbeat intervals without human intervention.

For example, the difference between two interbeat intervals such as +250 and +100 may both be represented as acceleration and assigned "1", but actually they are not the same in a detailed interpretation, and the degree information of acceleration is lost in this binary representation.

First, the method uses up to 26 symbols (a to z) to represent variations between interbeat intervals to show the increase or decrease phases and the degree of variation.

On ECGs with > 50% normal-to-normal (NN) interbeat intervals, two ECG measures of HRV were calculated using three consecutive 10-sec recordings: the standard deviation of NN intervals (SDNN) and the root mean square of successive differences of NN intervals (rMSSD).

The calculation of the non-randomness index is based on estimating the average n-tuple distance between raw interbeat interval time series and its randomly shuffled surrogates using the IBS method, where the number of surrogates was 100 in the present study.

We first estimated the pairwise distance between interbeat interval time series of all subjects using the IBS method.

Prior to frequency analysis, each 15-minute segment was divided into three 5-minute segments and the interbeat intervals were re-sampled at 20 Hz, which provided 6000 equidistant data points per 5 minute segment [ 13].

BioPac® -acquired files were re-sampled at rate of 1 HZ, and the interbeat intervals (IBI) between successive RR-peaks files were analyzed using Nevrokard® - HRV software (Medistar, Ljubljana, Slovenia) using standard algorithms.

The EDA signal was transformed into units of microsiemens, and for the cardiac data, interbeat intervals were obtained from deviations between the ECG R-waves and were transformed online into beats per minute (bpm)—that is, HR.

Interbeat intervals were recorded for 4 min in each of the three conditions with a time resolution of 1 ms. The first and last 17.6 s of the 4 min recordings were eliminated from the analysis and thus the remaining 204.8 s were used for analysis.