Rapid blood oxygen detection equipment with micro-fluidic chip and detection method of rapid blood oxygen detection equipment

Abstract

The invention discloses a micro-fluidic chip rapid blood oxygen detection device which is characterized in that the blood oxygen concentration is detected through a micro-fluidic chip blood oxygen detection method, then a correction factor is extracted through a detection method adopting an EEG signal algorithm, a detection result of micro-fluidic chip blood oxygen detection is corrected through the correction factor, and a correction result is output; the detection result of blood oxygen detection of the micro-fluidic chip is optimized; compared with the prior art, the blood oxygen detection precision of the micro-fluidic chip is further improved; a correction factor can be obtained through an EEG signal algorithm; the correction module is used for correcting a detection result of blood oxygen detection of the micro-fluidic chip; compared with the prior art, the blood oxygen detection precision is higher; sampling and sample adding equipment is arranged, and the sampling and sample adding equipment comprises a blood taking needle, processing equipment and a sample adding device; sampling a blood sample, processing the blood sample and adding the blood sample; compared with the prior art, the sampling operation is more convenient.

Description

Technical Field

[0001] The present invention relates to a rapid blood oxygen detection method and a detection device thereof, and in particular to a microfluidic chip rapid blood oxygen detection device and a detection method thereof. Background Art

[0002] Microfluidic chip blood oxygen detection technology mainly relies on optical principles, especially fluorescence or absorbance detection. Hemoglobin (Hb) in the blood has two states: oxygenated (HbO2) and deoxygenated (Hb), and these two states differ in optical properties. Through the optical detection elements on the microfluidic chip (such as LED light sources, photodetectors, etc.), the ratio of HbO2 and Hb in the blood sample can be monitored in real time, thereby calculating the blood oxygen saturation (SpO2).

[0003] EEG signal algorithm, also known as electroencephalography (EEG) signal, is an electrical signal generated by brain neuron activity, which can be detected and recorded by electrodes placed on the scalp. EEG signal algorithm contains a lot of information, reflecting the activity patterns and functions of the brain in different states. EEG signal algorithm can be used to predict blood oxygen saturation by detecting neural regulation.

[0004] Common microfluidic blood oxygen detection may have some deviations and needs further improvement. Summary of the invention

[0005] The present invention overcomes the deficiencies of the prior art and provides a microfluidic chip rapid blood oxygen detection method and detection equipment thereof.

[0006] To achieve the above object, the technical solution adopted by the present invention is: a microfluidic chip rapid blood oxygen detection method, comprising:

[0007] S1. Collect blood samples from the patient's fingers or earlobes through a sampling device and perform pretreatment;

[0008] S2, adding the pretreated blood sample into the microfluidic chip through the sampling port by the sampling and adding device;

[0009] S3, using a microfluidic chip to detect blood samples to obtain basic blood oxygen concentration;

[0010] S4, obtaining the correction factor through EEG signal algorithm detection;

[0011] S5. Correct the basic blood oxygen concentration using the correction factor to obtain the final detection value and output it.

[0012] In a preferred embodiment of the present invention, specifically, in step S1, the sampling and adding device includes: a blood collection needle for sampling blood, a processing device for processing blood and a sample adder for adding samples; the blood collection needle is connected to the processing device, and the processing device is connected to the sample adder.

[0013] In a preferred embodiment of the present invention, specifically, in step S3, the microfluidic chip detects the blood sample to obtain the basic blood oxygen concentration specifically as follows:

[0014] S31, reacting the blood sample in the microfluidic chip with the detection reagent and evenly distributing them in the microchannel;

[0015] S32, providing light through a light source device and irradiating the blood sample in the microchannel, and the blood oxygen sensor detects the blood sample and sends an electrical signal;

[0016] S33. Receive the electrical signal through the detection device, process the signal, calculate the blood oxygen saturation and output it.

[0017] In a preferred embodiment of the present invention, specifically, in step S33, the blood oxygen saturation is calculated as follows:

[0018]

[0019] Solving for SpO2:

[0020]

[0021] Where n is the Hill coefficient, which reflects the cooperativity of the oxygen binding sites in the hemoglobin molecule. For human hemoglobin, the value of n is usually between 2 and 3. 50 It is the oxygen partial pressure corresponding to the midpoint of the hemoglobin oxygen dissociation curve, and PO2 is the oxygen partial pressure.

[0022] In a preferred embodiment of the present invention, the detection reagent is a fluorescent dye.

[0023] In a preferred embodiment of the present invention, the light is red light and infrared light.

[0024] In a preferred embodiment of the present invention, specifically, in step S4, the EEG correction factor is calculated as follows:

[0025] S41. Extract features related to changes in blood oxygen concentration from the EEG signal algorithm, denoted as X = [x1, x2, ..., x n ], where the features are the power in a specific frequency band, the complexity of the waveform, and the average amplitude in a specific time window;

[0026] S42, using the linear regression model to fit the relationship between the EEG features and the changes in blood oxygen concentration using the n features extracted in S41; in, is the actual blood oxygen concentration value, β0, β1, ..., β n are model parameters, estimated from the training data;

[0027] S43. Use the trained model to predict blood oxygen concentration SpO 2sred ;SpO 2pred =β0+β1x1+β2x2+...+β n x n ;

[0028] S44, comparing the blood oxygen concentration predicted by S43 with the basic blood oxygen concentration, and calculating a correction factor α;

[0029]

[0030] In a preferred embodiment of the present invention, specifically, in step S5, the basic blood oxygen concentration is corrected by the correction factor:

[0031]

[0032] SpO 2corrected is the final test value, α is the correction factor, SpO 2basic It is the basic blood oxygen concentration.

[0033] In a preferred embodiment of the present invention, a microfluidic chip rapid blood oxygen detection device is characterized by comprising: a housing, a detection device installed in the housing, a microfluidic chip installed on the detection device, a sampling and adding device connected to the microfluidic chip, and a light source device installed in the housing;

[0034] The microfluidic chip comprises a microchannel, a liquid reservoir connected to the microchannel, and a blood oxygen sensor arranged in the microchannel; the microchannel is used to carry a blood sample; a detection reagent is stored in the liquid reservoir, the detection reagent is used to react with the blood sample, and the blood oxygen sensor is used to detect the blood sample and convert the result into an electrical signal; the blood oxygen sensor is connected to the detection device, and the microfluidic chip is provided with a sample dispensing port connected to the microchannel;

[0035] The light source device is used to provide light and illuminate the blood sample in the microfluidic chip;

[0036] The detection device is used to receive the electrical signal, perform signal processing and analysis, calculate the blood oxygen saturation and output it.

[0037] In a preferred embodiment of the present invention, the blood oxygen sensor is a photoelectric sensor.

[0038] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0039] (1) The blood oxygen concentration is detected by a microfluidic chip blood oxygen detection method, and then a correction factor is extracted by a detection method using an EEG signal algorithm. The detection result of the microfluidic chip blood oxygen detection is corrected by the correction factor and the correction result is output; the detection result of the microfluidic chip blood oxygen detection is optimized; compared with the existing technology, the detection accuracy of the microfluidic chip blood oxygen detection is further improved.

[0040] (2) The correction factor can be obtained through the EEG signal algorithm, which is used to correct the detection results of blood oxygen detection by the microfluidic chip. Compared with the existing technology, the accuracy of blood oxygen detection will be higher.

[0041] (3) By setting up a sampling and adding sample device, the sampling and adding sample device includes: a blood collection needle, a processing device and a sampler; sampling, processing and adding sample to the blood sample; compared with the existing technology, the sampling operation is more convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 is a flow chart of a preferred embodiment of the present invention;

[0044] Figure 2 is a flow chart of an apparatus of a preferred embodiment of the present invention; DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0047] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the scope of protection of the present application. In addition, the terms "first", "second", etc. are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, features defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of the invention, unless otherwise specified, "multiple" means two or more.

[0048] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0049] like Figure 1 , Figure 2 As shown, a microfluidic chip rapid blood oxygen detection method comprises:

[0050] S1. Collect blood samples from the patient's fingers or earlobes through a sampling device and perform pretreatment;

[0051] S2, adding the pretreated blood sample into the microfluidic chip through the sampling port by the sampling and adding device;

[0052] S3, using a microfluidic chip to detect blood samples to obtain basic blood oxygen concentration;

[0053] S4, obtaining the correction factor through EEG signal algorithm detection;

[0054] S5. Correct the basic blood oxygen concentration using the correction factor to obtain the final detection value and output it.

[0055] Specifically, in step S1, the sampling and adding device includes: a blood collection needle for sampling blood, a processing device for processing blood, and an adder for adding samples; the blood collection needle is connected to the processing device, and the processing device is connected to the adder.

[0056] Specifically, the specific steps of collecting blood samples and pre-processing are:

[0057] S11. Collect blood samples from the patient's finger or earlobe using a blood collection needle;

[0058] S12, using a centrifuge or filter to pre-treat the collected blood sample to remove impurities and dilute it;

[0059] Specifically, the pre-treated blood sample is added into the microfluidic chip through the sample adding port by the sampling and adding device. Specifically, the treated blood sample is added into the microfluidic chip through the sample adding port by the sample adding device.

[0060] It is worth mentioning that the pipette is used to accurately control the sample volume, which can reduce the impact on the accuracy of the test.

[0061] Specifically, in step S3, the microfluidic chip detects the blood sample to obtain the basic blood oxygen concentration:

[0062] S31, reacting the blood sample in the microfluidic chip with the detection reagent and evenly distributing them in the microchannel;

[0063] S32, irradiating the blood sample in the microchannel by a light source device, and the blood oxygen sensor detects the blood sample and sends an electrical signal;

[0064] S33. Receive the electrical signal through the detection device, process the signal, calculate the blood oxygen saturation and output it.

[0065] Specifically, in step S33, the blood oxygen saturation is calculated as follows:

[0066]

[0067] Solving for SpO2:

[0068]

[0069] Where n is the Hill coefficient, which reflects the cooperativity of the oxygen binding sites in the hemoglobin molecule. For human hemoglobin, the value of n is usually between 2 and 3. 50 It is the oxygen partial pressure corresponding to the midpoint of the hemoglobin oxygen dissociation curve, and PO2 is the oxygen partial pressure.

[0070] Specifically, in step S4, the EEG correction factor is calculated as follows:

[0071] The EEG correction factor is obtained by performing an EEG signal algorithm through an electroencephalogram device;

[0072] S41. Extract features related to changes in blood oxygen concentration from the EEG signal algorithm, denoted as X = [x1, x2, ..., xn ], where the features are the power in a specific frequency band, the complexity of the waveform, and the average amplitude in a specific time window;

[0073] S42, using the linear regression model to fit the relationship between the EEG features and the changes in blood oxygen concentration using the n features extracted in S41; in, is the actual blood oxygen concentration value, β0, β1, ..., β n are model parameters, estimated from the training data;

[0074] S43. Use the trained model to predict blood oxygen concentration SpO 2sred ;SpO 2pred =β0+β1x1+β2x2+...+β n x n ;

[0075] S44, comparing the blood oxygen concentration predicted by S43 with the basic blood oxygen concentration, and calculating a correction factor α;

[0076]

[0077] Specifically, in step S5, the basic blood oxygen concentration is corrected by the correction factor:

[0078]

[0079] is the final test value, α is the correction factor, SpO 2basic It is the basic blood oxygen concentration.

[0080] More specifically, the EEG signal algorithm is used to detect blood oxygen saturation.

[0081] A microfluidic chip rapid blood oxygen detection device, comprising: a housing, a detection device installed in the housing, a microfluidic chip installed on the detection device, a sampling and adding device connected to the microfluidic chip, and a light source device installed in the housing;

[0082] The microfluidic chip comprises a microchannel, a liquid reservoir connected to the microchannel, and a blood oxygen sensor arranged in the microchannel; the microchannel is used to carry a blood sample; a detection reagent is stored in the liquid reservoir, the detection reagent is used to react with the blood sample, and the blood oxygen sensor is used to detect the blood sample and convert the result into an electrical signal; the blood oxygen sensor is connected to the detection device, and the microfluidic chip is provided with a sample dispensing port connected to the microchannel;

[0083] The light source device is used to provide light and illuminate the blood sample in the microfluidic chip;

[0084] The detection device is used to receive the electrical signal, perform signal processing and analysis, calculate the blood oxygen saturation and output it.

[0085] Specifically, the blood oxygen sensor is a photoelectric sensor; the photoelectric sensor receives the absorption of light by the blood sample and converts it into an electrical signal.

[0086] The above is based on the ideal embodiment of the present invention. Through the above description, relevant personnel can make various changes and modifications without departing from the technical concept of the present invention. The technical scope of the present invention is not limited to the content in the specification, and the technical scope must be determined according to the scope of the claims.

Claims

1. A microfluidic chip rapid blood oxygen detection method, characterized in that: include: S1. Collect blood samples from the patient's fingers or earlobes through a sampling device and perform pretreatment; S2, adding the pretreated blood sample into the microfluidic chip through the sampling port by the sampling and adding device; S3, using a microfluidic chip to detect blood samples to obtain basic blood oxygen concentration; S4, obtaining the correction factor through EEG signal algorithm detection; S5. Correct the basic blood oxygen concentration using the correction factor to obtain the final detection value and output it.

2. The microfluidic chip rapid blood oxygen detection device according to claim 1, characterized in that: Specifically, in step S1, the sampling and adding device includes: a blood collection needle for sampling blood, a processing device for processing blood, and an adder for adding samples; the blood collection needle is connected to the processing device, and the processing device is connected to the adder.

3. The microfluidic chip rapid blood oxygen detection device according to claim 1, characterized in that: Specifically, in step S3, the microfluidic chip detects the blood sample to obtain the basic blood oxygen concentration: S31, reacting the blood sample in the microfluidic chip with the detection reagent and evenly distributing them in the microchannel; S32, providing light through a light source device and irradiating the blood sample in the microchannel, and the blood oxygen sensor detects the blood sample and sends an electrical signal; S33. Receive the electrical signal through the detection device, process the signal, calculate the blood oxygen saturation and output it.

4. The microfluidic chip rapid blood oxygen detection device according to claim 1, characterized in that: Specifically, in step S33, the blood oxygen saturation is calculated as follows: Solving for SpO2: Where n is the Hill coefficient, which reflects the cooperativity of the oxygen binding sites in the hemoglobin molecule. For human hemoglobin, the value of n is usually between 2 and 3. 50 It is the oxygen partial pressure corresponding to the midpoint of the hemoglobin oxygen dissociation curve, and PO2 is the oxygen partial pressure.

5. The microfluidic chip rapid blood oxygen detection device according to claim 3, characterized in that: The detection reagent is a fluorescent dye.

6. The microfluidic chip rapid blood oxygen detection device according to claim 3, characterized in that: The light rays are red light and infrared light.

7. The microfluidic chip rapid blood oxygen detection device according to claim 1, characterized in that: Specifically, in step S4, the EEG correction factor is calculated as follows: S41. Extract features related to changes in blood oxygen concentration from the EEG signal algorithm, denoted as X = [x1, x2, ..., x n ], where the features are the power in a specific frequency band, the complexity of the waveform, and the average amplitude in a specific time window; S42, using the linear regression model to fit the relationship between the EEG features and the changes in blood oxygen concentration using the n features extracted in S41; in, is the actual blood oxygen concentration value, β0, β1, ..., β n are model parameters, estimated from the training data; S43. Use the trained model to predict blood oxygen concentration SpO 2sred ;SpO 2pred =β0+β1x1+β2x2+...+β n x n ; S44, comparing the blood oxygen concentration predicted by S43 with the basic blood oxygen concentration, and calculating a correction factor α; 8. The microfluidic chip rapid blood oxygen detection device according to claim 1, characterized in that: Specifically, in step S5, the basic blood oxygen concentration is corrected by the correction factor: SpO 2corrected =α·SpO 2basic SpO 2corrected is the final detection value, α is the correction factor, SpO 2basic It is the basic blood oxygen concentration.

9. A microfluidic chip rapid blood oxygen detection device, based on a microfluidic chip rapid blood oxygen detection device according to any one of claims 1 to 8, characterized in that: It comprises: a housing, a detection device installed in the housing, a microfluidic chip installed on the detection device, a sampling and adding device connected to the microfluidic chip, and a light source device installed in the housing; The microfluidic chip comprises a microchannel, a liquid storage tank connected to the microchannel, and a blood oxygen sensor arranged in the microchannel; the microchannel is used to carry a blood sample; The liquid reservoir stores a detection reagent, the detection reagent is used to react with the blood sample, the blood oxygen sensor is used to detect the blood sample and convert the result into an electrical signal; the blood oxygen sensor is connected to the detection device, and the microfluidic chip is provided with a sample placement port connected to the microchannel; The light source device is used to provide light and illuminate the blood sample in the microfluidic chip; The detection device is used to receive the electrical signal, perform signal processing and analysis, calculate the blood oxygen saturation and output it.

10. The microfluidic chip rapid blood oxygen detection device according to claim 1, characterized in that: The blood oxygen sensor is a photoelectric sensor.

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