Apparatus and method for automatically identifying fetal heart rate baseline

Patent metadata

Field	Value
Publication number	US-9232901-B2
Application number	US-201114009507-A
Country	US
Kind code	B2
Filing date	Jul 7, 2011
Priority date	Jun 29, 2011
Publication date	Jan 12, 2016
Grant date	Jan 12, 2016

Abstract

An apparatus and method for automatically identifying FHR baseline includes collecting FHR data within a preset duration to obtain an FHR data sequence h′(n); preprocessing the collected FHR data sequence h′(n) to obtain a corresponding FHR data sequence during the preprocessing; selecting a primary dominant peak value according to the frequency distribution of the corresponding FHR data sequence during the preprocessing; and identifying a dynamic baseline according to the corresponding FHR data sequence and the primary dominant peak value during the preprocessing to obtain the dynamic baseline, and display and print the dynamic baseline. The apparatus and method effectively prevents the impact caused by regular change of the FHR to the baseline solution, and accurately reflects the FHR baseline and changes thereof of a fetus under different conditions.

First claim

The invention claimed is:

1. An automatically identifying Fetal Heart Rate (FHR) baseline apparatus, comprising a FHR data collecting module; a FHR data preprocessing module; a primary dominant peak value selecting module; a dynamic baseline identifying module and a main control module;
wherein the FHR data collecting module is connected with the main control module, is configured for collecting the FHR data within a preset duration, further obtains FHR data sequence h′(n), and transmits the FHR data sequence h′(n) to the main control module;
wherein the FHR data preprocessing module is connected with the main control module, is configured for preprocessing the FHR data sequence h′(n) transmitted by the main control module, obtains the preprocessed FHR data sequence B(m), and transmits the corresponding results obtained during preprocessing to the main control module; wherein the primary dominant peak value selecting module is connected with the main control module, is configured for selecting the primary dominant peak value according to the frequency distribution of the corresponding results obtained during preprocessing that the main control module is transmitted, and transmits the results to the main control module;
wherein the dynamic baseline identifying module is connected with the main control module, is configured for working out the filtering start point T according to the primary dominant peak value transmitted by the main control module, carries out low pass filtering and data recovery for the preprocessed FHR data sequence B(m) to further obtain the dynamic FHR baseline, and transmits the results to the main control module; and
wherein the main control module is connected with the FHR data collecting module, the FHR data preprocessing module, the primary dominant peak value selecting module, the dynamic baseline identifying module and a displaying/printing module, and configured for controlling the operation of the FHR data collecting module, the FHR data preprocessing module, the primary dominant peak value selecting module and the dynamic baseline identifying module.

2. The automatically identifying FHR baseline apparatus according to claim 1 , further comprising a fetal heart signal collecting, processing, and transferring module, a collecting duration judging module, a parameter preset module and the displaying/printing module, wherein the fetal heart signal collecting, processing, and transferring module is connected with the FHR data collecting module and configured for collecting the fetal heart signals received from an ultrasonic probe, transferring the signals into the FHR data and transmitting the signals to the FHR data collecting module, the collecting duration judging module is connected with the FHR data collecting module and configured for judging whether the collecting time exceeds the preset duration; and if the collecting time exceeds the preset duration, transmitting timeout signals to the FHR data collecting module,
the parameter preset module is connected with the collecting duration judging module, the FHR data preprocessing module, the primary dominant peak value selecting module and the dynamic baseline identifying module, and configured for presetting the parameters of each module, and the displaying/printing module is connected with the main control module and configured for identifying the results according to the dynamic baseline transmitted by the main control module, displaying the FHR baseline on a fetal monitoring drawing and printing the FHR baseline.

3. The automatically identifying FHR baseline apparatus according to claim 1 , further comprising:
a data transfer unit configured for transferring the FHR data sequence h′(n) collected by the FHR data collecting module and hence obtaining new FHR value sequence H(n) taking a pulse interval as a unit; an error data processing unit configured for carrying out the error data processing for the FHR value sequence H(n) according to a preset signal quality judging standard and hence obtaining an effective FHR data sequence V(n); a comparing unit configured for calculating an effective data rate L of a fetal heart according to the sequences V(n) and H(n) and judging whether it is larger than a preset threshold U, wherein if L is larger than the preset threshold U, the data continue to be preprocessed and otherwise the data stops being preprocessed and new FHR data are collected again;
an average filtering unit configured for carrying out the average filtering processing for the effective FHR data sequence V(n) and hence obtaining the sequence A(m) while establishes a position mapping relation f of the two sequences V(n) and A(m); and an interpolation processing unit configured for fitting an invalid data part in the sequence A(m) with a linear interpolation method and hence obtaining a sequence B(m).

4. The automatically identifying FHR baseline apparatus according to claim 3 , wherein the primary dominant peak value selecting module further comprises:
a frequency distribution unit for working out each FHR frequency of the effective FHR data sequence V(n) and hence obtaining a frequency distribution sequence p′(k);
a sequencing unit configured for sequencing the sequence p′(k) from small to large FHR values and hence obtaining a distribution sequence P(k);
a primary dominant peak value judging unit configured for judging whether there is a frequency value in the sequence P(k) larger than I previous frequency values and larger than J latter frequency values, wherein if there is the frequency value, the FHR value corresponding the frequency value is taken as a primary dominant peak value, and if there is not such a frequency value, the FHR value corresponding to the maximum frequency is selected as the primary dominant peak value, if there is the primary dominant peak value, it is traversed; the FHR value, corresponding to the primary frequency value of which the swept area is S times larger than the total frequency distribution area, is taken as the primary dominant peak value, Wherein I, J and S are preset parameters.

5. The automatically identifying FHR baseline apparatus according to claim 4 , wherein the dynamic baseline identifying module further comprises:
a filtering start-point obtaining unit configured for working out the filtering start point T according to the primary dominant peak value, and selecting the value in K previous points in the sequence B(m), wherein the distance between the value and the primary dominant peak value does not exceed threshold Q and the value is the closest to the primary dominant peak value, wherein the value is the filtering start point T, and K and Q are preset parameters; a low pass filtering unit configured for processing the sequence B(m) with low pass filtering according to the filtering start point T and hence obtaining a pre-dynamic baseline sequence B1(m); and
a baseline recovery unit configured for carrying out the data recovery for the pre-dynamic baseline sequence with a copy method according to the mapping relation f and hence obtaining a dynamic baseline sequence B3(n).

6. The automatically identifying FHR baseline apparatus according to claim 5 , wherein the dynamic baseline identifying module further comprises:
a baseline checking unit configured for checking the pre-dynamic baseline sequence B1(m) obtained through the low pass filtering unit and hence obtaining the pre-dynamic baseline sequence B2(m), wherein the pre-dynamic baseline sequence B2(m) obtains the dynamic baseline sequence through the baseline recovery unit.

7. An automatically identifying Fetal Heart Rate (FHR) baseline method, comprising:
collecting FHR data within a preset duration to obtain an FHR data sequence h′(n);
preprocessing the collected FHR data sequence h′(n) to

Assignees

• Rao Jian
• Zeng Yonghua
• Chen Dewei
• Chen Wusun
• Edan Instruments Inc

Inventors

• Rao Jian
• Zeng Yonghua
• Chen Dewei
• Chen Wusun

Classifications

• A61B5/725

  using specific filters therefor, e.g. Kalman or adaptive filters (specific diagnostics methods using using bioelectric or biomagnetic signals A61B5/316) · CPC title

• A61B8/5223

  for extracting a diagnostic or physiological parameter from medical diagnostic data (for algorithms to analyse biomedical images G06T7/0012) · CPC title

• A61B8/0866

  involving foetal diagnosis; pre-natal or peri-natal diagnosis of the baby · CPC title

• A61B5/02411 Primary

  of foetuses · CPC title

• A61B5/7253

  characterised by using transforms · CPC title