Near-infrared blood oxygen waveform baseline correction method

Abstract

The invention discloses a near-infrared blood oxygen waveform baseline correction method. The method comprises the following steps: collecting blood oxygen waveform data; detecting the amplitude of the rising or falling trend of the blood oxygen waveform, and removing the rising or falling trend of the blood oxygen waveform according to the amplitude; calculating an integral value and a mean value of the blood oxygen waveform after the trend is removed; through the steps, the baseline correction of the blood oxygen waveform can be realized, the rising or falling trend of the blood oxygen waveform can be removed, the finally calculated integral value and mean value are more accurate, and the effectiveness of a report is improved.

Description

Technical Field

[0001] The present invention relates to the field of infrared blood oxygen monitoring technology, and in particular to a near-infrared blood oxygen waveform baseline correction method. Background Art

[0002] Near-infrared blood oxygen waveform is a technology used for non-invasive blood oxygen saturation monitoring. This technology is based on the principle that near-infrared light passes through skin tissue and is absorbed by blood, and estimates blood oxygen saturation by detecting the degree of light absorption. At present, the baseline correction of near-infrared blood oxygen waveform mainly adopts filters or moving average methods. The filter can remove high-frequency noise in the blood oxygen waveform, but it cannot effectively remove the rising or falling trend of the blood oxygen waveform. The moving average method can smooth the blood oxygen waveform, but it also cannot completely eliminate the trend of the blood oxygen waveform. Moreover, they will cause the blood oxygen waveform to lag, resulting in errors in some indicators, such as the T center of gravity.

[0003] It is understandable that the existing technology limits the accuracy and effectiveness of the near-infrared blood oxygen waveform. Specifically, the filter cannot completely eliminate the rising or falling trend of the blood oxygen waveform, resulting in a certain deviation in the blood oxygen waveform after baseline correction. Secondly, the moving average method smoothes the blood oxygen waveform, but it will cause delays and distortions in the blood oxygen waveform, affecting the accuracy of the blood oxygen waveform. Finally, the existing technology does not take into account the correspondence between the blood oxygen waveform and the task, and cannot accurately restore the characteristics of the blood oxygen waveform.

[0004] In summary, the prior art has some problems in the baseline correction of near-infrared blood oxygen waveforms, such as blood oxygen waveform deviation, delay and distortion, which limit the accuracy and effectiveness of the report. To address these problems, a new baseline correction method is needed that accurately removes the upward or downward trend of blood oxygen waveforms and improves the reliability and accuracy of reports Summary of the invention

[0005] The purpose of the present invention is to solve the technical problems existing in the background technology and to propose a near-infrared blood oxygen waveform baseline correction method, comprising the following steps:

[0006] Collect blood oxygen waveform data;

[0007] Detect the amplitude of the rising or falling trend of the blood oxygen waveform, and remove the rising or falling trend of the blood oxygen waveform according to the amplitude;

[0008] Calculate the integral value and mean value of the blood oxygen waveform after removing the trend;

[0009] Output corrected blood oxygen waveform data.

[0010] Furthermore, “collecting blood oxygen waveform data” includes the following steps:

[0011] Collect human blood oxygen waveform data through near-infrared blood oxygen instrument;

[0012] Preprocess the collected blood oxygen waveform data.

[0013] Further, "pre-processing" includes the following steps:

[0014] Use high-pass and low-pass filtering to remove heartbeat and breathing interference from blood oxygen waveform data;

[0015] Generate blood oxygen concentration values ​​and corresponding time series.

[0016] Furthermore, “detecting the amplitude of the rising or falling trend of the blood oxygen waveform, and removing the rising or falling trend of the blood oxygen waveform according to the amplitude” includes the following steps:

[0017] By calculating the difference between the beginning and the end of the blood oxygen waveform, the amplitude of the rising or falling trend of the blood oxygen waveform can be determined;

[0018] According to the amplitude of the trend, the linear offset of the blood oxygen waveform is removed point by point to make its baseline close to the horizontal.

[0019] Furthermore, “removing the linear offset of the blood oxygen waveform point by point according to the amplitude of the trend so that its baseline approaches the horizontal” includes the following steps:

[0020] Obtain the amplitudes of the first and last points of the blood oxygen waveform, which are recorded as a and b respectively;

[0021] According to the amplitude of two points, the linear trend is calculated as follows: y = a + x*(ba) / (n-1), where n is the length of the blood oxygen waveform and x = [0, n-1];

[0022] According to the calculated linear trend, the linear offset of the blood oxygen waveform is removed point by point so that its baseline approaches the horizontal line.

[0023] Furthermore, “calculating the integral value and the mean value of the blood oxygen waveform after the trend is removed” includes: calculating the integral value and the mean value of the blood oxygen waveform after the trend is removed by numerical integration and averaging methods.

[0024] Compared with the prior art, the present invention has the following beneficial technical effects:

[0025] 1. Accurately correct the blood oxygen waveform baseline: The present invention adopts a near-infrared blood oxygen waveform baseline correction method, which can effectively remove the upward or downward trend of the blood oxygen waveform, making the final calculated integral value and mean value more accurate. Compared with the prior art, the accuracy and reliability of blood oxygen monitoring reports can be improved.

[0026] 2. Improve the effectiveness of reports: Since the present invention can accurately correct the baseline of blood oxygen waveform and retain the corresponding relationship between blood oxygen waveform and task, the effectiveness of reports can be improved. Accurate baseline correction can eliminate interference factors, make blood oxygen monitoring results more credible and provide doctors with an accurate diagnostic basis.

[0027] 3. Optimize treatment plan: Accurate baseline correction of blood oxygen waveforms helps doctors accurately evaluate the patient's blood oxygen condition, thus enabling more accurate and personalized treatment plans. Compared with the prior art, the baseline correction method of the blood oxygen waveform of the present invention can provide more accurate blood oxygen monitoring data, which helps optimize the therapeutic effect.

[0028] In summary, compared with the prior art, the present invention has the advantages of accurately correcting the baseline of blood oxygen waveforms, improving the effectiveness of reports, and optimizing treatment plans, and can play an important role in the field of near-infrared blood oxygen monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is an infrared blood oxygen waveform after removing interference such as heartbeat and breathing through high-pass and low-pass filtering;

[0030] Figure 2 This is the infrared blood oxygen waveform after adding the linear trend;

[0031] Figure 3 The infrared blood oxygen waveform is obtained by removing the linear offset of the blood oxygen waveform point by point according to the linear trend. DETAILED DESCRIPTION

[0032] The following will be combined with the embodiments to clearly and completely describe the concept of the present invention and the technical effects produced, so as to fully understand the purpose, characteristics and effects of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without creative work are all within the scope of protection of the present invention.

[0033] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0034] like Figure 1-Figure 3 As shown, the present invention proposes a near-infrared blood oxygen waveform baseline correction method, comprising the following steps:

[0035] S1: Collect blood oxygen waveform data;

[0036] S2: Detect the amplitude of the rising or falling trend of the blood oxygen waveform, and remove the rising or falling trend of the blood oxygen waveform according to the amplitude;

[0037] S3: Calculate the integral value and mean value of the blood oxygen waveform after removing the trend;

[0038] S4: Output the corrected blood oxygen waveform data.

[0039] Furthermore, step “S1: collecting blood oxygen waveform data” includes the following steps:

[0040] S11: Collect human blood oxygen waveform data through near-infrared blood oxygen instrument;

[0041] S12: Preprocessing the collected blood oxygen waveform data.

[0042] Furthermore, the “pre-processing” in step S12 includes the following steps:

[0043] S121: Use high-pass and low-pass filtering to remove heartbeat and breathing interference from blood oxygen waveform data;

[0044] S122: Generate blood oxygen concentration values ​​and corresponding time series.

[0045] Further, step “S2: detecting the amplitude of the rising or falling trend of the blood oxygen waveform, and removing the rising or falling trend of the blood oxygen waveform according to the amplitude” includes the following steps:

[0046] S21: determining the amplitude of the rising trend or the falling trend of the blood oxygen waveform by calculating the difference between the beginning and the end of the blood oxygen waveform;

[0047] S22: According to the amplitude of the trend, the linear offset of the blood oxygen waveform is removed point by point so that its baseline approaches the horizontal level.

[0048] Further, step “S22: according to the amplitude of the trend, removing the linear offset of the blood oxygen waveform point by point so that its baseline approaches the horizontal” includes the following steps:

[0049] S221: Obtain the amplitudes of the first and last points of the blood oxygen waveform, which are recorded as a and b respectively;

[0050] S222: Calculate the linear trend according to the amplitudes of the two points. The linear trend calculation method is: y=a+x*(ba) / (n-1), where n is the length of the blood oxygen waveform and x=[0,n-1];

[0051] S223: According to the calculated linear trend, the linear offset of the blood oxygen waveform is removed point by point so that its baseline approaches the horizontal line.

[0052] Further, step “S3: calculating the integral value and mean value of the blood oxygen waveform after removing the trend” includes:

[0053] S31: Calculate the integral value and mean value of the blood oxygen waveform after removing the trend through numerical integration and averaging methods.

[0054] Furthermore, the present invention also provides an implementation method of applying an infrared blood oxygen waveform baseline correction method, which is as follows:

[0055] 1. Data collection: First, the human blood oxygen waveform data is collected through near-infrared blood oxygen instruments, and high- and low-pass filtering is used to remove interference such as heartbeat and breathing. These data may include blood oxygen concentration values and corresponding time series, as shown in Figure (1).

[0056] 2. Baseline correction method: Based on the collected blood oxygen waveform data, a baseline correction method is performed. The method may include the following steps:

[0057] a. Calculate the amplitude of the first and last points of the blood oxygen waveform, set as a and b;

[0058] b. According to the amplitude of the trend, remove the linear offset of the blood oxygen waveform point by point so that its baseline approaches the horizontal line. If the amplitudes of the first and last points of the blood oxygen waveform are a and b, the linear trend is calculated as follows:

[0059] y = a + x * (ba) / (n-1);

[0060] Where n is the length of the blood oxygen waveform, x = [0, n-1], as shown in Figure (2);

[0061] c. According to the calculated linear trend, the linear offset of the blood oxygen waveform is removed point by point so that its baseline approaches the horizontal line, as shown in Figure (3);

[0062] 3. Integration and mean calculation: After completing the baseline correction, the integration and mean calculations are performed on the corrected blood oxygen waveform data. These calculations can provide more accurate blood oxygen concentration indicators.

[0063] Through the above implementation, the baseline of the near-infrared blood oxygen waveform can be effectively corrected, thereby improving the accuracy of blood oxygen concentration calculation and the effectiveness of reporting.

[0064] It can be understood that compared with the prior art, the present invention mainly solves the following technical problems:

[0065] 1. The problem of rising or falling trends in near-infrared blood oxygen waveforms is solved. By removing these trends, the final calculated integral value and mean are more accurate.

[0066] 2. Improved the effectiveness of the report by correcting the baseline of the blood oxygen waveform, reducing errors and interference, and retaining the correspondence between the blood oxygen waveform and the task, making the report results more reliable.

[0067] 3. The performance of the near-infrared blood oxygen monitoring system has been optimized. Through the baseline correction method, the calculation speed is fast, providing faster data support for clinical diagnosis and treatment.

[0068] Compared with the existing technology, the present invention has the following beneficial effects:

[0069] 1. Accurately correct the blood oxygen waveform baseline: The present invention adopts a near-infrared blood oxygen waveform baseline correction method, which can effectively remove the upward or downward trend of the blood oxygen waveform, making the final calculated integral value and mean value more accurate. Compared with the prior art, the accuracy and reliability of blood oxygen monitoring reports can be improved.

[0070] 2. Improve the effectiveness of reports: Since the present invention can accurately correct the baseline of blood oxygen waveform and retain the corresponding relationship between blood oxygen waveform and task, the effectiveness of reports can be improved. Accurate baseline correction can eliminate interference factors, make blood oxygen monitoring results more credible and provide doctors with an accurate diagnostic basis.

[0071] 3. Optimize treatment plan: Accurate baseline correction of blood oxygen waveforms helps doctors accurately evaluate the patient's blood oxygen condition, thus enabling more accurate and personalized treatment plans. Compared with the prior art, the baseline correction method of the blood oxygen waveform of the present invention can provide more accurate blood oxygen monitoring data, which helps optimize the therapeutic effect.

[0072] In summary, compared with the prior art, the present invention has the advantages of accurately correcting the blood oxygen waveform baseline, improving the effectiveness of the report, and optimizing the treatment plan, and can play an important role in the field of near-infrared blood oxygen monitoring.

[0073] Finally, it should be noted that the above embodiments are only preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, rather than limiting the scope of protection of the present invention. For ordinary skill in the art, several improvements and retouchings can be made without departing from the principles of the present invention. These improvements and retouchings should also be regarded as the scope of protection of the present invention.

Claims

1. A near-infrared blood oxygen waveform baseline correction method, characterized in that: The steps include: Collect blood oxygen waveform data; Detect the amplitude of the rising or falling trend of the blood oxygen waveform, and remove the rising or falling trend of the blood oxygen waveform according to the amplitude; Calculate the integral value and mean value of the blood oxygen waveform after removing the trend; Output corrected blood oxygen waveform data.

2. A near-infrared blood oxygen waveform baseline correction method according to claim 1, characterized in that: The "collecting blood oxygen waveform data" comprises the following steps: Collect human blood oxygen waveform data through near-infrared blood oxygen instrument; Preprocess the collected blood oxygen waveform data.

3. A near-infrared blood oxygen waveform baseline correction method according to claim 2, characterized in that: The "pre-processing" comprises the following steps: Use high-pass and low-pass filtering to remove heartbeat and breathing interference from blood oxygen waveform data; Generate blood oxygen concentration values ​​and corresponding time series.

4. A near-infrared blood oxygen waveform baseline correction method according to claim 1, characterized in that: The “detecting the amplitude of the rising or falling trend of the blood oxygen waveform, and removing the rising or falling trend of the blood oxygen waveform according to the amplitude” comprises the following steps: By calculating the difference between the beginning and the end of the blood oxygen waveform, the amplitude of the rising or falling trend of the blood oxygen waveform can be determined; According to the amplitude of the trend, the linear offset of the blood oxygen waveform is removed point by point to make its baseline close to the horizontal.

5. A near-infrared blood oxygen waveform baseline correction method according to claim 4, characterized in that: The “removing the linear offset of the blood oxygen waveform point by point according to the amplitude of the trend so that its baseline approaches the horizontal” comprises the following steps: Obtain the amplitudes of the first and last points of the blood oxygen waveform, which are recorded as a and b respectively; According to the amplitude of two points, the linear trend is calculated as follows: y = a + x*(ba) / (n-1), where n is the length of the blood oxygen waveform and x = [0, n-1]; According to the calculated linear trend, the linear offset of the blood oxygen waveform is removed point by point so that its baseline approaches the horizontal line.

6. A near-infrared blood oxygen waveform baseline correction method according to claim 1, characterized in that: The “calculating the integral value and mean value of the blood oxygen waveform after removing the trend” includes: calculating the integral value and mean value of the blood oxygen waveform after removing the trend by numerical integration and averaging methods.

Images