CN112730202A - Impedance method detection system of blood cell analyzer and method for identifying impedance channel blocked hole - Google Patents

Impedance method detection system of blood cell analyzer and method for identifying impedance channel blocked hole Download PDF

Info

Publication number
CN112730202A
CN112730202A CN202011592483.0A CN202011592483A CN112730202A CN 112730202 A CN112730202 A CN 112730202A CN 202011592483 A CN202011592483 A CN 202011592483A CN 112730202 A CN112730202 A CN 112730202A
Authority
CN
China
Prior art keywords
unit time
average
time
mean value
obtaining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011592483.0A
Other languages
Chinese (zh)
Other versions
CN112730202B (en
Inventor
王兴红
邹海涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Comen Medical Instruments Co Ltd
Original Assignee
Shenzhen Comen Medical Instruments Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Comen Medical Instruments Co Ltd filed Critical Shenzhen Comen Medical Instruments Co Ltd
Priority to CN202011592483.0A priority Critical patent/CN112730202B/en
Publication of CN112730202A publication Critical patent/CN112730202A/en
Application granted granted Critical
Publication of CN112730202B publication Critical patent/CN112730202B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/1031Investigating individual particles by measuring electrical or magnetic effects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/1031Investigating individual particles by measuring electrical or magnetic effects
    • G01N15/12Investigating individual particles by measuring electrical or magnetic effects by observing changes in resistance or impedance across apertures when traversed by individual particles, e.g. by using the Coulter principle
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/01Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/01Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials specially adapted for biological cells, e.g. blood cells
    • G01N2015/012Red blood cells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N2015/1026Recognising analyser failures, e.g. bubbles; Quality control for particle analysers
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
    • Y02A50/30Against vector-borne diseases, e.g. mosquito-borne, fly-borne, tick-borne or waterborne diseases whose impact is exacerbated by climate change

Landscapes

  • Chemical & Material Sciences (AREA)
  • Dispersion Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)

Abstract

The application discloses impedance method detecting system of blood cell analyzer and method for identifying impedance channel plugging hole, the method for identifying impedance channel plugging hole includes: and acquiring historical average pulse data, and calculating the mean value and standard deviation of the historical average pulse data. And acquiring the data of the voltage pulse of the sampling analysis, and counting the average pulse of the cells passing through the small hole in each unit time. And sequentially calculating the front average value and the rear average value of each unit time, and judging the unit time of the possible hole blockage according to the change conditions of the front average value and the rear average value of each unit time. And judging whether the plugging is generated in the unit time of the possible plugging for the first time, comparing the second variable quantity with the standard deviation of the historical average pulse data after judging that the plugging is not generated in the unit time of the possible plugging for the first time, and judging whether the plugging is generated in the unit time of the possible plugging for the second time. The recognition and the report of the condition of the whole-course hole blockage are realized.

Description

Impedance method detection system of blood cell analyzer and method for identifying impedance channel blocked hole
Technical Field
The application relates to the technical field of particle detection, in particular to an impedance method detection system of a blood cell analyzer and a method for identifying impedance channel plugging.
Background
When the particles (cells) are detected by the impedance method, the pores are immersed in an electrolyte solution, a constant current power supply is connected to two ends of each pore, when the particles (cells) pass through the pores, the voltage at two ends of each pore is changed, and the larger the volume of the particles (cells), the larger the change of the voltage (the larger the voltage pulse). Taking the application in the field of blood detection as an example, according to this principle, blood is diluted and mixed in a diluent (a reagent having conductivity and the characteristic of physiological saline), and then the pulse (volume) of blood cells passing through the small holes can be obtained by passing through the small holes with electrodes at both ends.
When the impedance method is used for detecting particles (cells), a pore blocking phenomenon sometimes occurs, that is, the particles (cells) to be detected cannot pass through the pores due to the blockage of the pores, and the detection is influenced to continue. The blood cells are uniformly distributed in the solution after being diluted and mixed, so that the average pulse size of all the blood cells passing through the small holes in unit time (such as 100ms) should be consistent. If a pore blockage occurs at a certain time, the average pulse of the cells around that time may vary greatly. Therefore, in some methods, whether or not the hole is blocked is determined by a change in a voltage curve of the hole, and if the voltage of the hole changes significantly after a certain time, it is determined that the hole is blocked. However, when the hole is plugged all the way, the voltage of the small hole may not change significantly, and this method cannot accurately report the plugging of the hole.
Disclosure of Invention
The invention mainly solves the technical problems that: the existing method can not accurately report the hole blockage when the hole is blocked in the whole process.
In a first aspect, an embodiment provides an impedance method detection system for a blood cell analyzer, including:
a detection chamber comprising an aperture; the detection chamber is used for receiving a blood sample, a hemolytic agent and a diluent to prepare a sample to be determined;
a pressure source component for providing pressure to cause cells of the sample in the detection chamber to pass through the aperture;
the two ends of the constant current power supply are respectively and electrically connected with the two ends of the small hole;
the voltage pulse detection device is connected with the constant current power supply and is used for detecting voltage pulses generated when cells pass through the small holes and sending data of the voltage pulses;
a memory for receiving and storing historical average pulse data and data of voltage pulses transmitted by the voltage supply pulse detection device; and
the processor is used for acquiring historical average pulse data and calculating the mean value and the standard deviation of the historical average pulse data; acquiring data of the voltage pulse sampled and analyzed at this time, and counting the average pulse of the cells passing through the small hole in each unit time; defining the mean value of the average pulses of all unit time before each unit time as a front mean value, sequentially calculating the front mean value of each unit time, defining the mean value of the average pulses of all unit time after each unit time as a rear mean value, sequentially calculating the rear mean value of each unit time, and judging the unit time of the possible hole blockage according to the change conditions of the front mean value and the rear mean value of each unit time; calculating a first variation between the front average value of the possible hole plugging in unit time and the rear average value of the possible hole plugging in unit time, comparing the first variation with the standard deviation of the average pulse of all unit time before the unit time of the possible hole plugging and/or after the unit time of the possible hole plugging, judging whether the hole plugging occurs in the unit time of the possible hole plugging or not for the first time, reporting an abnormality if the hole plugging occurs in the first time, and continuing to execute the next step if the hole plugging does not occur in the first time; after the situation that the hole plugging possibly occurs in the unit time is judged for the first time, calculating the mean value of the average pulses of all the unit time of the current sampling, calculating the second variable quantity between the mean value of the average pulses of all the unit time of the current sampling and the mean value of the historical average pulse data, comparing the second variable quantity with the standard deviation of the historical average pulse data, judging whether the hole plugging possibly occurs in the unit time for the second time, if the hole plugging occurs in the second time, reporting the abnormal situation, if the hole plugging does not occur in the second time, sending the mean value of the average pulses of all the unit time of the current sampling to a memory, and storing the historical average pulse data.
In one embodiment, the processor obtains historical average pulse data, and averages and standard deviations of the historical average pulse data, including:
obtaining a linked list PreMPList of historical average pulse data, wherein the historical average pulse data is the average value of average pulses of all time units sampled every time in the past, obtaining a calculation formula of the average value of the historical average pulse data, calculating the average value MPre of the historical average pulse data, obtaining a calculation formula of the standard deviation of the historical average pulse data, and calculating the standard deviation SPre of the historical average pulse data;
the calculation formula of the mean value of the historical average pulse data comprises the following steps:
Figure BDA0002869043550000021
wherein n is the number of data in PreMPList;
the calculation formula of the standard deviation of the historical average pulse data comprises the following steps:
Figure BDA0002869043550000022
wherein n is the number of data in PreMPList.
In one embodiment, the processor obtains data of the voltage pulse for the current sampling analysis, and counts an average pulse of the cells passing through the aperture per unit time, including:
acquiring total acquisition time T, acquiring unit time delta T, acquiring a calculation formula of the total number N of unit time, and calculating the total number N of unit time, wherein the calculation formula of the total number N of unit time comprises the following steps:
N=T/Δt,
obtaining a formula for calculating the number of pulses in the ith unit time, and calculating the number of pulses in the ith unit time, wherein the formula for calculating the number of pulses in the ith unit time comprises:
mi=count(p(t,v)),
wherein t is greater than or equal to t and less than i delta t in the value range of (i-1), i is greater than 0 and less than or equal to N, and i is a positive integer;
acquiring a calculation formula for calculating the average pulse of the ith unit time, and calculating the average pulse of the ith unit time, wherein the calculation formula for calculating the average pulse of the ith unit time comprises the following steps:
Pi=(∑v)/mi
wherein v belongs to p (t, v), t has a value range of (i-1) delta t is more than or equal to t and less than i delta t, i has a value range of more than 0 and less than or equal to N, and i is a positive integer;
sequentially storing the average pulse in each unit time into a memory group P to obtain a memory group P ═ P1,P2,…,Pi,…,PN]。
In one embodiment, the processor sequentially calculates a front average value of each unit time and sequentially calculates a rear average value of each unit time, including:
obtaining a count group P, obtaining a calculation formula for calculating the pre-average value of each unit, and calculating the pre-average value of each unit time in sequence S1iThe calculation formula of the front average value of each unit comprises:
Figure BDA0002869043550000031
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer;
obtaining a calculation formula for calculating the post-average value of each unit, and calculating the post-average value of each unit time in sequence S2iThe formula for calculating the post-average value of each unit includes:
Figure BDA0002869043550000032
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer;
obtaining initialized linked List1 and linked List2, and averaging the pre-average values of each unit time S1iStoring the data into a List1 to obtain a linked List List1[ i ]]The mean value after each unit time S2iStoring the data into a List2 to obtain a linked List List2[ i ]]。
In one embodiment, the processor determines the unit time of the possible hole blockage according to the change of the front average value and the rear average value of each unit time, and includes:
obtaining a chain List1[ i ] and a chain List2[ i ], obtaining a difference calculation formula, carrying out difference calculation on data in the chain List1[ i ], obtaining an initialized chain List DList1, storing a result of the difference calculation of the chain List1[ i ] into a chain List DList1, obtaining a chain List DList1[ i ], carrying out difference calculation on the data in the chain List2[ i ], obtaining an initialized chain List DList2, storing a result of the difference calculation of the chain List2[ i ] into the chain List DList2, obtaining a chain List DList2[ i ], wherein the difference calculation formula comprises:
DList1[i]=List1[i+1]-List1[i],
DList2[i]=List2[i+1]-List2[i],
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer;
obtaining a unit time judgment formula of a possibly blocked hole, wherein the unit time judgment formula of the possibly blocked hole comprises the following steps:
Dlist2[i]*Dlist1[i+1]<0,
and traversing the chain table DList2 i, inputting the data in the chain table DList1 i and the chain table DList2 i into the unit time judgment formula of the possible hole blockage, wherein if the data accords with the judgment formula of the possible hole blockage, the (i + 1) th unit time is the unit time of the possible hole blockage.
In one embodiment, the processor determines the unit time of the possible hole blockage according to the change of the front average value and the rear average value of each unit time, and includes:
obtaining a chain List1[ i ] and a chain List2[ i ], obtaining a difference calculation formula, carrying out difference calculation on data in the chain List1[ i ], obtaining an initialized chain List DList1, storing a result of the difference calculation of the chain List1[ i ] into a chain List DList1, obtaining a chain List DList1[ i ], carrying out difference calculation on the data in the chain List2[ i ], obtaining an initialized chain List DList2, storing a result of the difference calculation of the chain List2[ i ] into the chain List DList2, obtaining a chain List DList2[ i ], wherein the difference calculation formula comprises:
DList1[i]=List1[i+1]-List1[i],
DList2[i]=List2[i+1]-List2[i],
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer;
obtaining a unit time judgment formula of a possibly blocked hole, wherein the unit time judgment formula of the possibly blocked hole comprises the following steps:
Dlist1[i]*Dlist2[i+1]<0,
and traversing the chain table DList1 i, inputting the data in the chain table DList1 i and the chain table DList2 i into the unit time judgment formula of the possible hole blockage, wherein if the data accords with the judgment formula of the possible hole blockage, the (i + 1) th unit time is the unit time of the possible hole blockage.
In one embodiment, the first determining whether a hole plugging occurs in a unit time of a possible hole plugging includes:
obtaining a count group P, obtaining the (i + 1) th unit time as the unit time of possible hole blockage, obtaining a calculation formula of the mean value of the average pulse of the previous i unit times, and calculating the mean value MP1 of the average pulse of the previous i unit times, wherein the calculation formula of the mean value of the average pulse of the previous i unit times comprises the following steps:
Figure BDA0002869043550000051
wherein the value range of i is more than 0 and less than N, and i is a positive integer;
obtaining a calculation formula of a standard deviation of the average pulse of the first i unit times, and calculating a standard deviation SP1 of the average pulse of the first i unit times, wherein the calculation formula of the standard deviation of the average pulse of the first i unit times includes:
Figure BDA0002869043550000052
wherein the value range of i is more than 0 and less than N, and i is a positive integer;
obtaining a calculation formula of a mean value of the average pulses of the (i + 1) th to the (N) th unit times, and calculating a mean value MP2 of the average pulses of the (i + 1) th to the (N) th unit times, wherein the calculation formula of the mean value of the average pulses of the (i + 1) th to the (N) th unit times comprises:
Figure BDA0002869043550000053
wherein the value range of i is more than 0 and less than N, and i is a positive integer;
obtaining a calculation formula of standard deviations of the average pulses of the (i + 1) th to the (N) th unit times, and calculating a standard deviation SP2 of the average pulses of the (i + 1) th to the (N) th unit times, wherein the calculation formula of the standard deviations of the average pulses of the (i + 1) th to the (N) th unit times comprises:
Figure BDA0002869043550000054
wherein the value range of i is more than 0 and less than N, and i is a positive integer;
obtaining a judgment formula for first judgment, wherein the judgment formula for first judgment comprises:
|MP1-MP2|<SP1,
|MP1-MP2|<SP2,
inputting a mean value MP1 of the average pulse of the first i unit times, a standard deviation SP1 of the average pulse of the first i unit times, a mean value MP2 of the average pulse of the (i + 1) th to N unit times and a standard deviation SP2 of the average pulse of the (i + 1) th to N unit times into a judgment formula for the first judgment, judging that hole blockage occurs for the first time if at least one formula in the judgment formula for the first judgment is satisfied, and otherwise judging that hole blockage does not occur for the first time.
In one embodiment, the second determining whether the hole plugging occurs per unit time of the possible hole plugging includes:
obtaining a count group P, obtaining a calculation formula of the mean value of the average pulses of all unit time of the current sampling, and calculating the mean value MP of the average pulses of all unit time of the current sampling, wherein the calculation formula of the mean value of the average pulses of all unit time of the current sampling comprises:
Figure BDA0002869043550000061
obtaining the average value MPre of the historical average pulse data and the standard deviation SPre of the historical average pulse data, obtaining a judging formula of the second judgment, substituting MP, MPre and SPre into the judging formula of the second judgment,
if a formula
|MPre-MP|<3SPre
If yes, judging that no hole plugging occurs for the second time;
if a formula
|MPre-MP|≥3SPre
And if yes, judging that the whole-course hole plugging occurs for the second time.
In a second aspect, an embodiment provides a method for identifying an impedance channel blockage, for detecting whether a blockage occurs in an impedance detection system of a hematology analyzer, comprising:
acquiring historical average pulse data, and calculating the average value and standard deviation of the historical average pulse data;
acquiring data of the voltage pulse sampled and analyzed at this time, and counting the average pulse of the cells passing through the small hole in each unit time;
defining the mean value of the average pulses of all unit time before each unit time as a front mean value, sequentially calculating the front mean value of each unit time, defining the mean value of the average pulses of all unit time after each unit time as a rear mean value, sequentially calculating the rear mean value of each unit time, and judging the unit time of the possible hole blockage according to the change conditions of the front mean value and the rear mean value of each unit time;
calculating a first variation between the front average value of the possible hole plugging in unit time and the rear average value of the possible hole plugging in unit time, comparing the first variation with the standard deviation of the average pulse of all unit time before the unit time of the possible hole plugging and/or after the unit time of the possible hole plugging, judging whether the hole plugging occurs in the unit time of the possible hole plugging or not for the first time, reporting an abnormality if the hole plugging occurs in the first time, and continuing to execute the next step if the hole plugging does not occur in the first time;
after the situation that the hole plugging possibly occurs in the unit time is judged for the first time, calculating the mean value of the average pulses of all the unit time of the current sampling, calculating the second variable quantity between the mean value of the average pulses of all the unit time of the current sampling and the mean value of the historical average pulse data, comparing the second variable quantity with the standard deviation of the historical average pulse data, judging whether the hole plugging possibly occurs in the unit time for the second time, reporting the abnormal situation if the hole plugging occurs in the second time, and storing the mean value of the average pulses of all the unit time of the current sampling into the historical average pulse data if the hole plugging does not occur in the second time.
In a third aspect, an embodiment provides a computer-readable storage medium having a program stored thereon, the program being executable by a processor to implement the above-mentioned method.
According to the impedance method detection system of the blood cell analyzer and the method for identifying the hole blockage of the impedance channel in the embodiment, the second change amount is compared with the standard deviation of the historical average pulse data, whether the hole blockage occurs in unit time of the possible hole blockage is judged for the second time, and the identification and the report of the whole-course hole blockage situation are realized.
Drawings
FIG. 1 is a schematic diagram of the Coulter principle;
FIG. 2 is a schematic diagram of impedance method detection;
FIG. 3 is a block diagram of an exemplary embodiment of an impedance detection system of a hematology analyzer;
FIG. 4 is a schematic flow chart diagram illustrating a method for identifying an impedance channel plugging in one embodiment;
FIG. 5 is a graphical representation of the data in List2[ i ] when the hole is unblocked, in one embodiment;
FIG. 6 is a graph of data in List2[ i ] when holes are plugged according to one embodiment.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. Wherein like elements in different embodiments are numbered with like associated elements. In the following description, numerous details are set forth in order to provide a better understanding of the present application. However, those skilled in the art will readily recognize that some of the features may be omitted or replaced with other elements, materials, methods in different instances. In some instances, certain operations related to the present application have not been shown or described in detail in order to avoid obscuring the core of the present application from excessive description, and it is not necessary for those skilled in the art to describe these operations in detail, so that they may be fully understood from the description in the specification and the general knowledge in the art.
Furthermore, the features, operations, or characteristics described in the specification may be combined in any suitable manner to form various embodiments. Also, the various steps or actions in the method descriptions may be transposed or transposed in order, as will be apparent to one of ordinary skill in the art. Thus, the various sequences in the specification and drawings are for the purpose of describing certain embodiments only and are not intended to imply a required sequence unless otherwise indicated where such sequence must be followed.
The numbering of the components as such, e.g., "first", "second", etc., is used herein only to distinguish the objects as described, and does not have any sequential or technical meaning. The term "connected" and "coupled" when used in this application, unless otherwise indicated, includes both direct and indirect connections (couplings).
Referring to fig. 1 and 2, fig. 1 is a schematic diagram of the coulter principle, a pore is immersed in an electrolyte solution, a constant current power supply is connected to two ends of the pore, when a fine particle passes through the pore, the voltage at two ends of the pore changes, and the larger the volume of the fine particle, the larger the voltage change (the larger the voltage pulse).
FIG. 2 is a schematic diagram of an impedance method (Coulter principle) for detecting cells, in which blood is diluted and mixed in a diluent (a reagent having conductivity and the property of physiological saline) according to the Coulter principle, and then the blood passes through a small hole with electrodes at two ends, so that pulses (volume) passing through the small hole cells can be obtained.
After the blood cells are diluted and mixed, the blood cells are uniformly distributed in the solution, so that the average pulse size of all the cells passing through the small holes in unit time (such as 100ms) is consistent. If a pore blockage occurs at a certain time, the average pulse of the cells around that time may vary greatly. The present application is based on this principle to realize the determination of the plugged hole.
For each cell passing through the aperture, the instrument will record not only the magnitude of the pulse, but also the time at which the pulse is recorded, i.e. the mark for each pulse has two dimensions, i.e. the magnitude v of the pulse value, respectively, and the time t at which the pulse is generated, p (t, v) representing a pulse. Let T be the total duration of sample collection (in s).
In one aspect, the present embodiment provides an impedance method detection system for a blood cell analyzer.
Referring to fig. 3, the impedance method detection system includes a detection chamber 1, a pressure source unit 2, a constant current source 3, a voltage pulse detection device 4, a memory 5 and a processor 6.
The detection chamber 1 comprises an aperture and the detection chamber 1 is adapted to receive a blood sample, a hemolysing agent and a diluent to prepare a sample to be assayed. The pressure source unit 2 is used to supply pressure to make the cells of the sample in the detection chamber 1 pass through the pores, and both ends of the constant current source 3 are electrically connected to both ends of the pores, respectively. The voltage pulse detection device 4 is connected with the constant current power supply 3, and is used for detecting the voltage pulse generated when the cell passes through the small hole and sending the data of the voltage pulse. The memory 5 is used for receiving and storing historical average pulse data and data of voltage pulses sent by the voltage power supply pulse detection device 4.
The processor 6 is used for acquiring historical average pulse data, and averaging and standard deviation are carried out on the historical average pulse data. And acquiring the data of the voltage pulse of the sampling analysis, and counting the average pulse of the cells passing through the small hole in each unit time. Defining the average value of the average pulses of all unit time before each unit time as a front average value, sequentially calculating the front average value of each unit time, defining the average value of the average pulses of all unit time after each unit time as a back average value, sequentially calculating the back average value of each unit time, and judging the unit time of the possible hole blockage according to the change situation of the front average value and the back average value of each unit time. Calculating a first variation between the front average value of the possible hole plugging in unit time and the rear average value of the possible hole plugging in unit time, comparing the first variation with the standard deviation of the average pulse of all unit time before and/or after the unit time of the possible hole plugging, judging whether the hole plugging occurs in the unit time of the possible hole plugging or not for the first time, reporting abnormality if the hole plugging occurs in the first time, and continuing to execute the next step if the hole plugging does not occur in the first time. After the situation that the hole plugging possibly occurs in the unit time is judged for the first time, the mean value of the average pulses of all the unit time of the sampling is calculated, the second variable quantity between the mean value of the average pulses of all the unit time of the sampling and the mean value of the historical average pulse data is calculated, the second variable quantity is compared with the standard deviation of the historical average pulse data, whether the hole plugging possibly occurs in the unit time is judged for the second time, if the hole plugging occurs is judged for the second time, the abnormal condition is reported, and if the hole plugging does not occur is judged for the second time, the mean value of the average pulses of all the unit time of the sampling is sent to a memory and the historical average pulse data are stored.
In another aspect, the present embodiment provides a method for identifying a plugged hole in an impedance channel, which is used to detect whether a plugged hole occurs in an impedance detection system of a hematology analyzer.
The method for identifying the impedance channel plugging hole of the embodiment has the following advantages:
first, some schemes determine whether a hole is blocked or not by the stability of the particle flow, and if the particle flow jumps after a certain time, the hole is considered to be blocked. However, when the hole is plugged in the whole process, the particle flow has no obvious change, and the accurate plugging of the hole cannot be accurately reported. When the sample is not sufficiently mixed, the stability of the particle flow cannot be ensured, and the hole is easily blocked by misinformation by the scheme. Compared with the scheme, the method of the embodiment compares the second variation with the standard deviation of the historical average pulse data, and judges whether the hole is blocked in unit time of the possible hole blocking for the second time, so that the recognition and the report of the whole-course hole blocking situation are realized. The problem that the holes are blocked by particle flow jumping and misinformation due to poor uniform mixing is also solved.
Secondly, some schemes judge whether to block up the hole through the change of aperture voltage curve, but aperture voltage probably does not have obvious change when whole stifled hole, can't report accurately stifled hole. Compared with the scheme, the method realizes the identification and the report of the whole-course hole blocking condition.
Thirdly, in some schemes, the voltage of the small hole during starting is taken as a reference, and the change of the voltage curve of the small hole is combined to judge whether the hole is blocked or not, if the voltage of the small hole is unchanged but is obviously higher than the starting voltage, the whole course of hole blocking is judged, and if the voltage of the small hole has obvious change after a certain moment, the hole blocking is considered to occur. However, when the temperature of the diluent is significantly different from the temperature at startup, the reference voltage at startup is invalid due to the different conductivities of the diluent at different temperatures, and the hole plugging cannot be accurately reported. Compared with the scheme, the method of the embodiment is not easily interfered by temperature change.
Referring to fig. 4, the method for identifying the plugged hole of the impedance channel includes:
referring to fig. 4, step 100 is to obtain historical average pulse data and to obtain the mean and standard deviation of the historical average pulse data.
In one embodiment, obtaining historical average pulse data, averaging and standard deviation the historical average pulse data, comprises:
obtaining a linked list PreMPList of historical average pulse data, wherein the historical average pulse data is the average value of average pulses of all time units sampled every time in the past, obtaining a calculation formula of the average value of the historical average pulse data, calculating the average value MPre of the historical average pulse data, obtaining a calculation formula of the standard deviation of the historical average pulse data, and calculating the standard deviation SPre of the historical average pulse data.
The calculation formula of the mean value of the historical average pulse data comprises the following steps:
Figure BDA0002869043550000101
wherein n is the number of data in PreMPList.
The calculation formula of the standard deviation of the historical average pulse data comprises the following steps:
Figure BDA0002869043550000102
wherein n is the number of data in PreMPList.
Referring to fig. 4, in step 200, the data of the voltage pulse of the current sampling analysis is obtained, and the average pulse of the cells passing through the small hole in each unit time is counted.
In one embodiment, obtaining data of the voltage pulse for the current sampling analysis and counting the average pulse of the cells passing through the aperture per unit time comprises:
acquiring total acquisition time T, acquiring unit time delta T, acquiring a calculation formula of the total number N of unit time, and calculating the total number N of unit time, wherein the calculation formula of the total number N of unit time comprises the following steps:
N=T/Δt,
specifically, Δ t in this embodiment is 0.1s, and in other embodiments, Δ t may also be selected to have other suitable values according to actual requirements.
Obtaining a formula for calculating the number of pulses in the ith unit time, and calculating the number of pulses in the ith unit time, wherein the formula for calculating the number of pulses in the ith unit time comprises the following steps:
mi=count(p(t,v)),
wherein t is greater than or equal to t and less than i delta t in the value range of (i-1), i is greater than 0 and less than or equal to N, and i is a positive integer.
Acquiring a calculation formula for calculating the average pulse of the ith unit time, and calculating the average pulse of the ith unit time, wherein the calculation formula for calculating the average pulse of the ith unit time comprises the following steps:
Pi=(∑v)/mi
wherein v belongs to p (t, v), t is (i-1) delta t is more than or equal to t and less than i delta t, i is more than 0 and less than or equal to N, and i is a positive integer.
The average pulse in each unit time is sequentially stored in a memory group P to obtain a memory group (vector) P ═ P1,P2,…,Pi,…,PN]。
Referring to fig. 4, in step 300, the mean value of the average pulses of all unit times before each unit time is defined as the front mean value, the front mean value of each unit time is sequentially calculated, the mean value of the average pulses of all unit times after each unit time is defined as the back mean value, and the back mean value of each unit time is sequentially calculated.
In one embodiment, sequentially calculating the front average value of each unit time and sequentially calculating the rear average value of each unit time includes:
obtaining a count group P, obtaining a calculation formula for calculating the pre-average value of each unit, and calculating the pre-average value of each unit time in sequence S1iThe formula for calculating the pre-average value of each unit includes:
Figure BDA0002869043550000111
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer.
Obtaining a calculation formula for calculating the post-average value of each unit, and calculating the post-average value of each unit time in sequence S2iThe formula for calculating the post-average value of each unit includes:
Figure BDA0002869043550000112
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer.
Obtaining initialized linked List1 and linked List2, and averaging the pre-average values of each unit time S1iStoring the data into a List1 to obtain a linked List List1[ i ]]Referring to fig. 5 and 6, the post-average value S2 of each unit timeiStoring the data into a List2 to obtain a linked List List2[ i ]]。
Referring to fig. 4, in step 400, the unit time of the possible hole blockage is determined according to the change of the front average value and the rear average value of each unit time.
In one embodiment, the determining the unit time of the possible hole blockage according to the change of the front average value and the rear average value of each unit time includes:
obtaining a chain List1[ i ] and a chain List2[ i ], obtaining a difference calculation formula, carrying out difference calculation on data in the chain List1[ i ], obtaining an initialized chain List DList1, storing a result of the difference calculation of the chain List1[ i ] into a chain List DList1, obtaining a chain List DList1[ i ], carrying out difference calculation on the data in the chain List2[ i ], obtaining an initialized chain List DList2, storing a result of the difference calculation of the chain List2[ i ] into the chain List DList2, obtaining a chain List DList2[ i ], wherein the difference calculation formula comprises:
DList1[i]=List1[i+1]-List1[i],
DList2[i]=List2[i+1]-List2[i],
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer.
Acquiring a unit time judgment formula of the possibly blocked holes, wherein the unit time judgment formula of the possibly blocked holes comprises the following steps:
Dlist2[i]*Dlist1[i+1]<0,
traversing the chain table DList2 i, inputting the data in the chain table DList1 i and the chain table DList2 i into a unit time judgment formula of possible hole blocking, wherein if the data accords with the judgment formula of the possible hole blocking, the (i + 1) th unit time is the unit time of the possible hole blocking.
In another embodiment, the determining the unit time of the possible hole blockage according to the change of the front average value and the rear average value of each unit time includes:
obtaining a chain List1[ i ] and a chain List2[ i ], obtaining a difference calculation formula, carrying out difference calculation on data in the chain List1[ i ], obtaining an initialized chain List DList1, storing a result of the difference calculation of the chain List1[ i ] into a chain List DList1, obtaining a chain List DList1[ i ], carrying out difference calculation on the data in the chain List2[ i ], obtaining an initialized chain List DList2, storing a result of the difference calculation of the chain List2[ i ] into the chain List DList2, obtaining a chain List DList2[ i ], wherein the difference calculation formula comprises:
DList1[i]=List1[i+1]-List1[i],
DList2[i]=List2[i+1]-List2[i],
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer.
Acquiring a unit time judgment formula of the possibly blocked holes, wherein the unit time judgment formula of the possibly blocked holes comprises the following steps:
Dlist1[i]*Dlist2[i+1]<0,
traversing the chain table DList1 i, inputting the data in the chain table DList1 i and the chain table DList2 i into a unit time judgment formula of possible hole blocking, wherein if the data accords with the judgment formula of the possible hole blocking, the (i + 1) th unit time is the unit time of the possible hole blocking.
Referring to fig. 4, in step 500, a first variation between a front average value of a unit time of a possible hole blockage and a rear average value of the unit time of the possible hole blockage is calculated, the first variation is compared with a standard deviation of an average pulse of all unit times before the unit time of the possible hole blockage and/or after the unit time of the possible hole blockage, whether a hole blockage occurs in the unit time of the possible hole blockage is determined for the first time, if a hole blockage occurs in the first determination, an abnormality is reported, and if a hole blockage does not occur in the first determination, the next step is continuously performed.
In one embodiment, the first determining whether the plugging of the possible plugging occurs per unit time includes:
obtaining a count group P, obtaining the (i + 1) th unit time as the unit time of possible hole blockage, obtaining a calculation formula of the mean value of the average pulse of the previous i unit times, and calculating the mean value MP1 of the average pulse of the previous i unit times, wherein the calculation formula of the mean value of the average pulse of the previous i unit times comprises the following steps:
Figure BDA0002869043550000121
wherein the value range of i is more than 0 and less than N, and i is a positive integer.
Obtaining a calculation formula of a standard deviation of the average pulse of the first i unit times, and calculating a standard deviation SP1 of the average pulse of the first i unit times, wherein the calculation formula of the standard deviation of the average pulse of the first i unit times comprises:
Figure BDA0002869043550000122
wherein the value range of i is more than 0 and less than N, and i is a positive integer.
Obtaining a calculation formula of the mean value of the average pulses of the (i + 1) th to the (N) th unit time, and calculating a mean value MP2 of the average pulses of the (i + 1) th to the (N) th unit time, wherein the calculation formula of the mean value of the average pulses of the (i + 1) th to the (N) th unit time comprises:
Figure BDA0002869043550000131
wherein the value range of i is more than 0 and less than N, and i is a positive integer.
Obtaining a calculation formula of standard deviations of the average pulses of the (i + 1) th to the (N) th unit times, and calculating the standard deviations SP2 of the average pulses of the (i + 1) th to the (N) th unit times, wherein the calculation formula of the standard deviations of the average pulses of the (i + 1) th to the (N) th unit times comprises:
Figure BDA0002869043550000132
wherein the value range of i is more than 0 and less than N, and i is a positive integer.
Obtaining a judgment formula for the first judgment, wherein the judgment formula for the first judgment comprises:
|MP1-MP2|<SP1,
|MP1-MP2|<SP2,
inputting a mean value MP1 of the average pulse of the first i unit times, a standard deviation SP1 of the average pulse of the first i unit times, a mean value MP2 of the average pulse of the (i + 1) th to N unit times and a standard deviation SP2 of the average pulse of the (i + 1) th to N unit times into a judgment formula for the first judgment, judging that hole blockage occurs for the first time if at least one formula in the judgment formula for the first judgment is satisfied, and otherwise judging that hole blockage does not occur for the first time. And reporting the abnormal white/red blood cell channel after judging that the hole is blocked, and issuing a blockage removing instruction. The above-mentioned "first variation" is | MP1-MP2| in the formula.
Referring to fig. 4, in step 600, after it is determined that no hole blocking occurs in unit time of a possible hole blocking, a mean value of average pulses in all unit time of the current sampling is calculated, a second variation between the mean value of the average pulses in all unit time of the current sampling and a mean value of historical average pulse data is calculated, the second variation is compared with a standard deviation of the historical average pulse data, it is determined whether a hole blocking occurs in unit time of the possible hole blocking is performed for the second time, if a hole blocking occurs in the second time, an abnormality is reported, and if a hole blocking does not occur in the second time, the mean value of the average pulses in all unit time of the current sampling is stored in the historical average pulse data.
In one embodiment, the second determining whether the plugging of the possible plugging occurs per unit time includes:
obtaining a count group P, obtaining a calculation formula of the mean value of the average pulses of all unit time of the current sampling, and calculating the mean value MP of the average pulses of all unit time of the current sampling, wherein the calculation formula of the mean value of the average pulses of all unit time of the current sampling comprises the following steps:
Figure BDA0002869043550000133
obtaining the average value MPre of the historical average pulse data and the standard deviation SPre of the historical average pulse data, obtaining a judging formula of the second judgment, substituting MP, MPre and SPre into the judging formula of the second judgment,
if a formula
|MPre-MP|<3SPre
And if yes, judging that no hole blockage occurs for the second time.
If a formula
|MPre-MP|≥3SPre
And if yes, judging that the whole-course hole plugging occurs for the second time. And reporting the abnormal white/red blood cell channel after judging that the hole is blocked, and issuing a blockage removing instruction. The above-mentioned "second variation" is | MPre-MP | in the formula.
In another aspect, the present embodiment provides a computer-readable storage medium having a program stored thereon, the program being executable by a processor to implement the above-mentioned method.
The present invention has been described in terms of specific examples, which are provided to aid understanding of the invention and are not intended to be limiting. For a person skilled in the art to which the invention pertains, several simple deductions, modifications or substitutions may be made according to the idea of the invention.

Claims (10)

1. An impedance method detection system for a blood cell analyzer, comprising:
a detection chamber comprising an aperture; the detection chamber is used for receiving a blood sample, a hemolytic agent and a diluent to prepare a sample to be determined;
a pressure source component for providing pressure to cause cells of the sample in the detection chamber to pass through the aperture;
the two ends of the constant current power supply are respectively and electrically connected with the two ends of the small hole;
the voltage pulse detection device is connected with the constant current power supply and is used for detecting voltage pulses generated when cells pass through the small holes and sending data of the voltage pulses;
a memory for receiving and storing historical average pulse data and data of voltage pulses transmitted by the voltage supply pulse detection device; and
the processor is used for acquiring historical average pulse data and calculating the mean value and the standard deviation of the historical average pulse data; acquiring data of the voltage pulse sampled and analyzed at this time, and counting the average pulse of the cells passing through the small hole in each unit time; defining the mean value of the average pulses of all unit time before each unit time as a front mean value, sequentially calculating the front mean value of each unit time, defining the mean value of the average pulses of all unit time after each unit time as a rear mean value, sequentially calculating the rear mean value of each unit time, and judging the unit time of the possible hole blockage according to the change conditions of the front mean value and the rear mean value of each unit time; calculating a first variation between the front average value of the possible hole plugging in unit time and the rear average value of the possible hole plugging in unit time, comparing the first variation with the standard deviation of the average pulse of all unit time before the unit time of the possible hole plugging and/or after the unit time of the possible hole plugging, judging whether the hole plugging occurs in the unit time of the possible hole plugging or not for the first time, reporting an abnormality if the hole plugging occurs in the first time, and continuing to execute the next step if the hole plugging does not occur in the first time; after the situation that the hole plugging possibly occurs in the unit time is judged for the first time, calculating the mean value of the average pulses of all the unit time of the current sampling, calculating the second variable quantity between the mean value of the average pulses of all the unit time of the current sampling and the mean value of the historical average pulse data, comparing the second variable quantity with the standard deviation of the historical average pulse data, judging whether the hole plugging possibly occurs in the unit time for the second time, if the hole plugging occurs in the second time, reporting the abnormal situation, if the hole plugging does not occur in the second time, sending the mean value of the average pulses of all the unit time of the current sampling to a memory, and storing the historical average pulse data.
2. The impedance method detection system of claim 1, wherein the processor obtains historical average pulse data, and averages and standard deviations of the historical average pulse data, comprising:
obtaining a linked list PreMPList of historical average pulse data, wherein the historical average pulse data is the average value of average pulses of all time units sampled every time in the past, obtaining a calculation formula of the average value of the historical average pulse data, calculating the average value MPre of the historical average pulse data, obtaining a calculation formula of the standard deviation of the historical average pulse data, and calculating the standard deviation SPre of the historical average pulse data;
the calculation formula of the mean value of the historical average pulse data comprises the following steps:
Figure FDA0002869043540000021
wherein n is the number of data in PreMPList;
the calculation formula of the standard deviation of the historical average pulse data comprises the following steps:
Figure FDA0002869043540000022
wherein n is the number of data in PreMPList.
3. The impedance method detection system of claim 1, wherein the processor obtains data of the voltage pulse for the current sampling analysis and counts an average pulse of the cells passing through the aperture per unit time, comprising:
acquiring total acquisition time T, acquiring unit time delta T, acquiring a calculation formula of the total number N of unit time, and calculating the total number N of unit time, wherein the calculation formula of the total number N of unit time comprises the following steps:
N=T/Δt,
obtaining a formula for calculating the number of pulses in the ith unit time, and calculating the number of pulses in the ith unit time, wherein the formula for calculating the number of pulses in the ith unit time comprises:
mi=count(p(t,v)),
wherein t is greater than or equal to t and less than i delta t in the value range of (i-1), i is greater than 0 and less than or equal to N, and i is a positive integer;
acquiring a calculation formula for calculating the average pulse of the ith unit time, and calculating the average pulse of the ith unit time, wherein the calculation formula for calculating the average pulse of the ith unit time comprises the following steps:
Pi=(∑v)/mi
wherein v belongs to p (t, v), t has a value range of (i-1) delta t is more than or equal to t and less than i delta t, i has a value range of more than 0 and less than or equal to N, and i is a positive integer;
sequentially storing the average pulse in each unit time into a memory group P to obtain a memory group P ═ P1,P2,…,Pi,…,PN]。
4. The impedance method detection system of claim 3, wherein the processor sequentially calculates a front mean value for each unit time and sequentially calculates a rear mean value for each unit time, comprising:
obtaining a count group P, obtaining a calculation formula for calculating the pre-average value of each unit, and calculating the pre-average value of each unit time in sequence S1iThe calculation formula of the front average value of each unit comprises:
Figure FDA0002869043540000023
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer;
obtaining a calculation formula for calculating the post-average value of each unit, and calculating the post-average value of each unit time in sequence S2iThe formula for calculating the post-average value of each unit includes:
Figure FDA0002869043540000031
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer;
obtaining initialized linked List1 and linked List2, and averaging the pre-average values of each unit time S1iStoring the data into a List1 to obtain a linked List List1[ i ]]The mean value after each unit time S2iStoring the data into a List2 to obtain a linked List List2[ i ]]。
5. The impedance method detection system of claim 4, wherein the processor determines the unit time of the possible hole blockage according to the change of the front average value and the rear average value of each unit time, and the method comprises:
obtaining a chain List1[ i ] and a chain List2[ i ], obtaining a difference calculation formula, carrying out difference calculation on data in the chain List1[ i ], obtaining an initialized chain List DList1, storing a result of the difference calculation of the chain List1[ i ] into a chain List DList1, obtaining a chain List DList1[ i ], carrying out difference calculation on the data in the chain List2[ i ], obtaining an initialized chain List DList2, storing a result of the difference calculation of the chain List2[ i ] into the chain List DList2, obtaining a chain List DList2[ i ], wherein the difference calculation formula comprises:
DList1[i]=List1[i+1]-List1[i],
DList2[i]=List2[i+1]-List2[i],
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer;
obtaining a unit time judgment formula of a possibly blocked hole, wherein the unit time judgment formula of the possibly blocked hole comprises the following steps:
Dlist2[i]*Dlist1[i+1]<0,
and traversing the chain table DList2 i, inputting the data in the chain table DList1 i and the chain table DList2 i into the unit time judgment formula of the possible hole blockage, wherein if the data accords with the judgment formula of the possible hole blockage, the (i + 1) th unit time is the unit time of the possible hole blockage.
6. The impedance method detection system of claim 4, wherein the processor determines the unit time of the possible hole blockage according to the change of the front average value and the rear average value of each unit time, and the method comprises:
obtaining a chain List1[ i ] and a chain List2[ i ], obtaining a difference calculation formula, carrying out difference calculation on data in the chain List1[ i ], obtaining an initialized chain List DList1, storing a result of the difference calculation of the chain List1[ i ] into a chain List DList1, obtaining a chain List DList1[ i ], carrying out difference calculation on the data in the chain List2[ i ], obtaining an initialized chain List DList2, storing a result of the difference calculation of the chain List2[ i ] into the chain List DList2, obtaining a chain List DList2[ i ], wherein the difference calculation formula comprises:
DList1[i]=List1[i+1]-List1[i],
DList2[i]=List2[i+1]-List2[i],
wherein, the value range of i is more than 0 and less than or equal to N-1, and i is a positive integer;
obtaining a unit time judgment formula of a possibly blocked hole, wherein the unit time judgment formula of the possibly blocked hole comprises the following steps:
Dlist1[i]*Dlist2[i+1]<0,
and traversing the chain table DList1 i, inputting the data in the chain table DList1 i and the chain table DList2 i into the unit time judgment formula of the possible hole blockage, wherein if the data accords with the judgment formula of the possible hole blockage, the (i + 1) th unit time is the unit time of the possible hole blockage.
7. The impedance-based detection system of claim 3, wherein the processor determining for the first time whether a possible hole blockage has occurred per unit time comprises:
obtaining a count group P, obtaining the (i + 1) th unit time as the unit time of possible hole blockage, obtaining a calculation formula of the mean value of the average pulse of the previous i unit times, and calculating the mean value MP1 of the average pulse of the previous i unit times, wherein the calculation formula of the mean value of the average pulse of the previous i unit times comprises the following steps:
Figure FDA0002869043540000041
wherein the value range of i is more than 0 and less than N, and i is a positive integer;
obtaining a calculation formula of a standard deviation of the average pulse of the first i unit times, and calculating a standard deviation SP1 of the average pulse of the first i unit times, wherein the calculation formula of the standard deviation of the average pulse of the first i unit times includes:
Figure FDA0002869043540000042
wherein the value range of i is more than 0 and less than N, and i is a positive integer;
obtaining a calculation formula of a mean value of the average pulses of the (i + 1) th to the (N) th unit times, and calculating a mean value MP2 of the average pulses of the (i + 1) th to the (N) th unit times, wherein the calculation formula of the mean value of the average pulses of the (i + 1) th to the (N) th unit times comprises:
Figure FDA0002869043540000043
wherein the value range of i is more than 0 and less than N, and i is a positive integer;
obtaining a calculation formula of standard deviations of the average pulses of the (i + 1) th to the (N) th unit times, and calculating a standard deviation SP2 of the average pulses of the (i + 1) th to the (N) th unit times, wherein the calculation formula of the standard deviations of the average pulses of the (i + 1) th to the (N) th unit times comprises:
Figure FDA0002869043540000044
wherein the value range of i is more than 0 and less than N, and i is a positive integer;
obtaining a judgment formula for first judgment, wherein the judgment formula for first judgment comprises:
|MP1-MP2|<SP1,
|MP1-MP2|<SP2,
inputting a mean value MP1 of the average pulse of the first i unit times, a standard deviation SP1 of the average pulse of the first i unit times, a mean value MP2 of the average pulse of the (i + 1) th to N unit times and a standard deviation SP2 of the average pulse of the (i + 1) th to N unit times into a judgment formula for the first judgment, judging that hole blockage occurs for the first time if at least one formula in the judgment formula for the first judgment is satisfied, and otherwise judging that hole blockage does not occur for the first time.
8. The impedance method detection system of claim 3, wherein the processor determining a second time if a possible hole blockage occurs per unit time comprises:
obtaining a count group P, obtaining a calculation formula of the mean value of the average pulses of all unit time of the current sampling, and calculating the mean value MP of the average pulses of all unit time of the current sampling, wherein the calculation formula of the mean value of the average pulses of all unit time of the current sampling comprises:
Figure FDA0002869043540000051
obtaining the average value MPre of the historical average pulse data and the standard deviation SPre of the historical average pulse data, obtaining a judging formula of the second judgment, substituting MP, MPre and SPre into the judging formula of the second judgment,
if a formula
|MPre-MP|<3SPre
If yes, judging that no hole plugging occurs for the second time;
if a formula
|MPre-MP|≥3SPre
And if yes, judging that the whole-course hole plugging occurs for the second time.
9. A method for identifying an impedance channel plugged hole, for detecting whether a plugged hole has occurred in an impedance detection system of a hematology analyzer, comprising:
acquiring historical average pulse data, and calculating the average value and standard deviation of the historical average pulse data;
acquiring data of the voltage pulse sampled and analyzed at this time, and counting the average pulse of the cells passing through the small hole in each unit time;
defining the mean value of the average pulses of all unit time before each unit time as a front mean value, sequentially calculating the front mean value of each unit time, defining the mean value of the average pulses of all unit time after each unit time as a rear mean value, sequentially calculating the rear mean value of each unit time, and judging the unit time of the possible hole blockage according to the change conditions of the front mean value and the rear mean value of each unit time;
calculating a first variation between the front average value of the possible hole plugging in unit time and the rear average value of the possible hole plugging in unit time, comparing the first variation with the standard deviation of the average pulse of all unit time before the unit time of the possible hole plugging and/or after the unit time of the possible hole plugging, judging whether the hole plugging occurs in the unit time of the possible hole plugging or not for the first time, reporting an abnormality if the hole plugging occurs in the first time, and continuing to execute the next step if the hole plugging does not occur in the first time;
after the situation that the hole plugging possibly occurs in the unit time is judged for the first time, calculating the mean value of the average pulses of all the unit time of the current sampling, calculating the second variable quantity between the mean value of the average pulses of all the unit time of the current sampling and the mean value of the historical average pulse data, comparing the second variable quantity with the standard deviation of the historical average pulse data, judging whether the hole plugging possibly occurs in the unit time for the second time, reporting the abnormal situation if the hole plugging occurs in the second time, and storing the mean value of the average pulses of all the unit time of the current sampling into the historical average pulse data if the hole plugging does not occur in the second time.
10. A computer-readable storage medium, characterized in that the medium has stored thereon a program which is executable by a processor to implement the method of claim 9.
CN202011592483.0A 2020-12-29 2020-12-29 Impedance method detection system of blood cell analyzer and method for identifying impedance channel blocking hole Active CN112730202B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011592483.0A CN112730202B (en) 2020-12-29 2020-12-29 Impedance method detection system of blood cell analyzer and method for identifying impedance channel blocking hole

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011592483.0A CN112730202B (en) 2020-12-29 2020-12-29 Impedance method detection system of blood cell analyzer and method for identifying impedance channel blocking hole

Publications (2)

Publication Number Publication Date
CN112730202A true CN112730202A (en) 2021-04-30
CN112730202B CN112730202B (en) 2023-06-16

Family

ID=75607584

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011592483.0A Active CN112730202B (en) 2020-12-29 2020-12-29 Impedance method detection system of blood cell analyzer and method for identifying impedance channel blocking hole

Country Status (1)

Country Link
CN (1) CN112730202B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113252537A (en) * 2021-07-08 2021-08-13 深圳市帝迈生物技术有限公司 Sample analyzer and counting abnormity detection method thereof
CN114235667A (en) * 2021-07-08 2022-03-25 深圳市帝迈生物技术有限公司 Sample analyzer and counting method thereof
CN114441414A (en) * 2022-04-06 2022-05-06 深圳市帝迈生物技术有限公司 Hole blockage judging method and sample analyzer
CN114441415A (en) * 2022-04-06 2022-05-06 深圳市帝迈生物技术有限公司 Micro-plugging hole identification method and sample analyzer

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3530381A (en) * 1968-01-15 1970-09-22 Coulter Electronics Voting circuit control apparatus for multiple aperture particle analyzing device
US20070212262A1 (en) * 2006-03-08 2007-09-13 Rich Collin A Fluidic system for a flow cytometer
CN103499700A (en) * 2013-09-30 2014-01-08 深圳理邦实验生物电子有限公司 Signal effectiveness analysis method and device applied to cell analyzer
CN104296953A (en) * 2013-07-16 2015-01-21 成都深迈瑞医疗电子技术研究院有限公司 Micro hole blocking detection method, system, and blood cell analyzer
CN104535478A (en) * 2015-01-07 2015-04-22 深圳市帝迈生物技术有限公司 Hole blocking judging and result correcting method based on particle flow stability
US20160011094A1 (en) * 2014-07-11 2016-01-14 Intellicyt Methods and Apparatus for Real-Time Detection and Clearing of a Clog
US20170227447A1 (en) * 2014-08-06 2017-08-10 Beckman Coulter, Inc. Evaluation of multi-peak events using a flow cytometer
CN108663306A (en) * 2018-07-27 2018-10-16 北京指真生物科技有限公司 A kind of flow cytometry device and compensation method
CN109508649A (en) * 2018-10-22 2019-03-22 迪瑞医疗科技股份有限公司 A kind of pulse signal analysis recognition method of cellanalyzer
CN209043773U (en) * 2018-08-24 2019-06-28 深圳市帝迈生物技术有限公司 Micropore plug-hole detection device, blood cell analyzer
CN111122841A (en) * 2018-10-31 2020-05-08 深圳市帝迈生物技术有限公司 Method for improving sample result accuracy and sample analyzer
CN111257204A (en) * 2018-11-30 2020-06-09 深圳市帝迈生物技术有限公司 Detection method for micropore blockage of sample analyzer and sample analyzer

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3530381A (en) * 1968-01-15 1970-09-22 Coulter Electronics Voting circuit control apparatus for multiple aperture particle analyzing device
US20070212262A1 (en) * 2006-03-08 2007-09-13 Rich Collin A Fluidic system for a flow cytometer
CN104296953A (en) * 2013-07-16 2015-01-21 成都深迈瑞医疗电子技术研究院有限公司 Micro hole blocking detection method, system, and blood cell analyzer
CN103499700A (en) * 2013-09-30 2014-01-08 深圳理邦实验生物电子有限公司 Signal effectiveness analysis method and device applied to cell analyzer
US20160011094A1 (en) * 2014-07-11 2016-01-14 Intellicyt Methods and Apparatus for Real-Time Detection and Clearing of a Clog
US20170227447A1 (en) * 2014-08-06 2017-08-10 Beckman Coulter, Inc. Evaluation of multi-peak events using a flow cytometer
CN104535478A (en) * 2015-01-07 2015-04-22 深圳市帝迈生物技术有限公司 Hole blocking judging and result correcting method based on particle flow stability
CN108663306A (en) * 2018-07-27 2018-10-16 北京指真生物科技有限公司 A kind of flow cytometry device and compensation method
CN209043773U (en) * 2018-08-24 2019-06-28 深圳市帝迈生物技术有限公司 Micropore plug-hole detection device, blood cell analyzer
CN109508649A (en) * 2018-10-22 2019-03-22 迪瑞医疗科技股份有限公司 A kind of pulse signal analysis recognition method of cellanalyzer
CN111122841A (en) * 2018-10-31 2020-05-08 深圳市帝迈生物技术有限公司 Method for improving sample result accuracy and sample analyzer
CN111257204A (en) * 2018-11-30 2020-06-09 深圳市帝迈生物技术有限公司 Detection method for micropore blockage of sample analyzer and sample analyzer

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
丁远超;龙伟;詹从来;: "血细胞脉冲信号立体化识别原理及实现方法", 制造业自动化 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113252537A (en) * 2021-07-08 2021-08-13 深圳市帝迈生物技术有限公司 Sample analyzer and counting abnormity detection method thereof
CN113252537B (en) * 2021-07-08 2021-11-23 深圳市帝迈生物技术有限公司 Sample analyzer and counting abnormity detection method thereof
CN114235667A (en) * 2021-07-08 2022-03-25 深圳市帝迈生物技术有限公司 Sample analyzer and counting method thereof
CN114235667B (en) * 2021-07-08 2024-04-09 深圳市帝迈生物技术有限公司 Sample analyzer and counting method thereof
CN114441414A (en) * 2022-04-06 2022-05-06 深圳市帝迈生物技术有限公司 Hole blockage judging method and sample analyzer
CN114441415A (en) * 2022-04-06 2022-05-06 深圳市帝迈生物技术有限公司 Micro-plugging hole identification method and sample analyzer
CN114441414B (en) * 2022-04-06 2022-09-20 深圳市帝迈生物技术有限公司 Hole blockage judging method and sample analyzer
CN114441415B (en) * 2022-04-06 2022-09-20 深圳市帝迈生物技术有限公司 Micro-plugging hole identification method and sample analyzer

Also Published As

Publication number Publication date
CN112730202B (en) 2023-06-16

Similar Documents

Publication Publication Date Title
CN112730202A (en) Impedance method detection system of blood cell analyzer and method for identifying impedance channel blocked hole
JP5438073B2 (en) Disposable cartridge for characterizing particles suspended in liquid
Jackson et al. Robust principal component analysis and outlier detection with ecological data
EP3623793A1 (en) Identification method, classification analysis method, identification device, classification analysis device, and storage medium
CN111144435B (en) Electric energy abnormal data monitoring method based on LOF and verification filtering framework
JP2015517714A (en) Method for measuring the critical operating state of a fuel cell stack
JP2014525124A (en) Method and apparatus for measuring power of a power generator operating in variable frequency mode and / or pulse generation mode
CN115327417A (en) Early warning method and system for abnormity of power battery monomer and electronic equipment
CN113252537B (en) Sample analyzer and counting abnormity detection method thereof
CN112557282B (en) Small hole blocking recognition method and device for blood cell analyzer
JPS60213850A (en) Particle analyzer
US20200129100A1 (en) Blood testing method and apparatus
CN117074114A (en) Gas sampling device and on-line monitoring and identifying equipment for battery thermal runaway gas
CN114754821B (en) Medical science blood storage device operation control system based on data analysis
CN113820260B (en) User state detection method, device, equipment and medium
CN113376534B (en) Phase plane diagnosis method for early fault of power battery and advanced early warning system
CN101902995B (en) Air filter for ophthalmic surgical system
WO2014188061A1 (en) Methods relating to monitoring fuel cells
CN112730203A (en) Optical system of blood cell analyzer, optical gain calibration method and storage medium
CN112654857B (en) Method for processing detection value of measurement object, blood cell analyzer and storage medium
KR20150133446A (en) SOC measuring method of redox flow battery
CN114235667B (en) Sample analyzer and counting method thereof
CN117054171B (en) Intelligent sampling method and device for transfusion
PL116106B1 (en) Method and system for determination of red blood cell count,mean volume of blood cell,value of hematocrit and other blood parameters in blood sample
CN116106204A (en) Dual-impedance channel whole-process hole blocking identification method, device, storage medium and equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant