Frequency processing of an RR series in an analogue cardiac signal

• US 7,899,523 B2
• Filed: 04/16/2003
• Issued: 03/01/2011
• Est. Priority Date: 05/31/2002
• Status: Expired due to Fees

• Current Assignee: Centre Hospitalier Régional Universitaire de Lille
• Original Assignee: Centre Hospitalier Régional Universitaire de Lille
• Inventors: Logier, Régis, Dassonneville, Alain
• Primary Examiner(s): Patel; Niketa I
• Assistant Examiner(s): Stoklosa; Joseph
• Application Number:
  US10/516,287
• Publication Number:
  US 20060155199A1
• Time in Patent Office: 2,876 Days
• Field of Search: 600508-528
• US Class Current: 600/516
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/347 Detecting the frequency distribution of signals
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• CPC Class Codes: A61B 5/4035 Evaluating the autonomic nervous system

Abstract

The RR series, comprising a number of samples respectively defining the time interval between two successive heartbeats, is filtered by means of a digital band-pass filter (F_k), having a given band-pass [fc; f′c] and preferably by means of a recursive elective filter (RII). A variability index (I_k), is calculated which is a function of the instantaneous amplitude [vs(n)] of the discrete signal (S_k) coming from said band-pass filter. The variability index (I_k) is preferably a function of and particularly equal to the effective value of the discrete signal (S_k) from the band-pass filter.

Claims

1. A method of frequency processing an RR series comprising filtering the RR series with at least one digital band-pass filter (F_k) presenting a predefined bandwidth [f_c, f′

c] lying in the frequency range 0.04-2 Hz so as to obtain a discrete signal (S_k), and computing with a digital computing module, directly in the time-domain and over a time window lying in the range 0-25 s, a variability index (I_k) that is a function of the instantaneous amplitude [vs(n)] of the discrete signal (S_k) from said band-pass filter.

2. A method according to claim 1, wherein said at least one digital band-pass filter is an infinite impulse response recursive selective filter.

3. A method according to claim 1, wherein the variability index (I_k) is equal to discrete signal (S_k) RMS value from the band-pass filter.

4. A method according to claim 1, wherein the bandwidth of the at least one digital filter lies in one of the frequency bands:

0.04-0.5 Hz

[0.04 Hz, 0.5 Hz].

5. A method according to claim 1, comprising acquiring and electronically processing an analog cardiac signal characteristic of cardiac rhythm, comprising recording and digitizing said cardiac signal, and constructing an RR series, further comprising automatic and real time processing of said RR series as said series is constructed.

6. A process according to claim 5, wherein the analog cardiac signal is a fetal cardiac signal.

7. A method of frequency processing an RR series comprising filtering the RR series with a plurality of filters (F₁, F₂, . . . ) each presenting a predefined bandwidth [fc, f′

c] lying in the frequency range 0.04-2 Hz, so as to obtain a plurality of discrete signals (S_k), and computing with a digital computing module, directly in the time-domain and over a time window lying in the range 0-25 s, in parallel, a plurality of variability indices (I₁, I₂, . . . ) that are respectively a function of the instantaneous amplitude [vs(n)] of said discrete signals (S_k) from said band-pass filters (F₁, F₂, . . . ), and a frequency variability index that is a function of said plurality of variability indices (I₁, I₂, . . . ).

8. A method according to claim 7, wherein the plurality of filters (F₁, F₂, . . . ) comprises at least one first filter (F₁) of bandwidth lying in the frequency band 0.04-0.15 and one second filter (F₂) of bandwidth lying in the frequency band 0.15-2 Hz.

9. A method according to claim 7, wherein the bandwidth of the second filter (F₂) lies in the frequency band 0.15-0.5 Hz.

10. A system for acquiring and processing in real time a cardiac signal, which system comprises acquisition means for acquiring said cardiac signal, first electronic means for automatically constructing an RR series, said series being made up of a plurality of samples (RR₁) respectively defining time intervals between successive pairs of heart beats from said cardiac signal, the system further comprising second electronic means for processing the RR series delivered by the first electronic means comprising means for filtering the RR series with at least one digital band-pass filter (F_k) presenting a predefined bandwidth [fc, f′

c] lying in the frequency range 0.04-2 Hz so as to obtain a discrete signal (S_k), and means for computing, directly in the time-domain and over a time window lying in the range 0-25 s, a variability index (I_k) that is a function of the instantaneous amplitude [vs(n)] of the discrete signal (S_k) from said band-pass filter.

11. A system for acquiring and processing in real time the cardiac signal of a fetus, which system comprises means for acquiring the cardiac signal of a fetus, first electronic means for automatically constructing an RR series, said series being made up of a plurality of samples (RR₁) respectively defining time intervals between successive pairs of heart beats, the system further comprising second electronic means for processing the RR series delivered by the first electronic means comprising means for filtering the RR series with at least one digital band-pass filter (F_k) presenting a predefined bandwidth [fc, f′

c] so as to obtain a discrete signal (S_k), and means for computing, directly in the time-domain and over a time window lying in the range 0 -25 s, a variability index (I_k) that is a function of the instantaneous amplitude [vs(n)] of the said discrete signal (S_k) from said band-pass filter, said means for filtering the RR series comprising at least two filters (F₁, F₂) of bandwidth lying respectively in the following frequency bands;

F₁;

0.04-0.15 Hz;

F₂;

0.15-2 Hz;

and for computing a frequency variability index as a function of the variability indices I₁ and I₂.

12. A cardiotocograph comprising a system according to claim 11, further comprising means for measuring fetal suffering on the basis of the frequency variability index.