CN111870775A - Infusion detection and identification method and device and infusion equipment - Google Patents
Infusion detection and identification method and device and infusion equipment Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
- A61M5/16886—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body for measuring fluid flow rate, i.e. flowmeters
- A61M5/1689—Drip counters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
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- A61M2205/00—General characteristics of the apparatus
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- A61M2205/3334—Measuring or controlling the flow rate
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Abstract
The invention relates to a method and a device for detecting and identifying a drip and infusion equipment, which are applied to the infusion equipment, wherein the infusion equipment comprises: a droplet detecting means for detecting a droplet signal and generating a detection signal; the method comprises the following steps: acquiring a detection signal through a drip detection device; performing analog-to-digital conversion processing on the detection signal to obtain a discrete signal; performing operation processing on the discrete signal to obtain the amplitude of the discrete signal; and judging whether the discrete signal is a drop signal or not according to the amplitude. The invention is not influenced by the dropping speed of the drip and the installation position of the detection equipment, has low installation requirement on the detection equipment, can accurately identify the drip signal, and has simple hardware circuit, high processing speed and low cost.
Description
Technical Field
The invention relates to the technical field of infusion drip, in particular to a method and a device for detecting and identifying a drip and infusion equipment.
Background
Intravenous infusion is already a very common phenomenon in hospitals. In order to realize the monitoring and management of infusion, lighten the working strength of medical personnel and improve the informatization management level of modern hospitals, infusion equipment such as circulating pumps, nutrition pumps and the like of a plurality of medical equipment manufacturers support counting of the number of drops, then the real-time infusion speed is calculated, and the purpose of accurate infusion monitoring and management is achieved. The general processing method is as shown in fig. 1, a drip clip is clipped on a drip cup of an infusion tube, the drip clip collects signals of drip through a left infrared transmitting tube and a right infrared receiving tube, a digital signal is obtained through the processing of a hardware shaping circuit, and a processor counts through a counter to obtain the number of the drip.
However, whether the counting is correct or not depends on the processing result of the hardware shaping circuit, in practical application, the signal waveform of the drip is different from the difference of the installation position of the drip clip, the transfusion rate and the like, and the counting realized by the shaping circuit simply has the following defects:
(1) when the infusion speed is high to a certain speed, the difference of the intensity of the signal waveform of the drip is large, the misjudgment is easily generated after the hardware shaping circuit is processed, or the cost is increased by the complicated circuit processing.
(2) The method is relatively strict on the installation position of the drip clip, and if the drip clip is installed at a position too close to the liquid level surface or too close to the liquid outlet of the liquid outlet kettle in the using process, the serious deformation of the signal waveform of the drip clip or the interference signal is generated.
Disclosure of Invention
The present invention provides a method and an apparatus for detecting and identifying a drip, and a transfusion device, aiming at the above-mentioned defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a drip detection and identification method is constructed and applied to infusion equipment, and the infusion equipment comprises: a droplet detecting means for detecting a droplet signal and generating a detection signal; the method comprises the following steps:
acquiring a detection signal by the drip detection device;
performing analog-to-digital conversion processing on the detection signal to obtain a discrete signal;
performing operation processing on the discrete signal to obtain the amplitude of the discrete signal;
and judging whether the discrete signal is a drop signal or not according to the amplitude.
Preferably, the droplet detecting device includes: the device comprises a signal acquisition circuit, a low-pass filter circuit and a signal amplification circuit;
the acquiring of the detection signal by the droplet detection apparatus includes:
collecting a dripping signal of the transfusion equipment through the signal collecting circuit;
carrying out low-pass filtering processing on the dripping signal through the low-pass filtering circuit;
and amplifying the dripping signal subjected to the low-pass filtering by the signal amplifying circuit, and outputting the detection signal.
Preferably, the performing analog-to-digital conversion processing on the detection signal to obtain a discrete signal includes:
circularly sampling the detection signal and carrying out analog-to-digital conversion on the detection signal;
filtering the detection signal subjected to analog-to-digital conversion;
and storing the detection signal subjected to filtering processing into a preset queue to obtain the discrete signal.
Preferably, the method includes, before the filtering the detection signal subjected to the analog-to-digital conversion processing:
and storing the detection signal subjected to analog-to-digital conversion into a buffer.
Preferably, the filtering the detection signal subjected to the analog-to-digital conversion processing includes:
sequencing the detection signals of the buffer by adopting a bubbling method;
removing a maximum value and a minimum value in the detection signal;
and carrying out average processing on the residual data in the detection signals with the maximum value and the minimum value removed to obtain an average value of the residual data.
Preferably, the performing operation processing on the discrete signal to obtain the amplitude of the discrete signal includes:
carrying out differential processing on the discrete signals to obtain the change rate of the discrete signals;
processing the absolute value of the change rate of the discrete signal to obtain the absolute value of the change rate of the discrete signal;
and obtaining the amplitude of the discrete signal according to the absolute value of the change rate of the discrete signal.
Preferably, the obtaining the amplitude of the discrete signal according to the absolute value of the change rate of the discrete signal comprises:
cumulatively summing the absolute values of the rates of change of the discrete signals to obtain a cumulative sum of the absolute values of change of the discrete signals;
the cumulative sum of the absolute values of the variations of the discrete signal is the amplitude of the discrete signal.
Preferably, the determining whether the discrete signal is a droplet signal according to the amplitude value includes:
comparing the amplitude value with a preset value;
judging whether the amplitude is greater than or equal to the preset value;
if yes, the discrete signal is judged to be a drop signal.
The invention also provides a drip detection and identification device, comprising: the drip detection device is used for detecting a drip signal and generating a detection signal, and the processor is connected with the drip detection device; the processor is configured to:
receiving a detection signal output by the drip detection device;
performing analog-to-digital conversion processing on the detection signal to obtain a discrete signal;
performing operation processing on the discrete signal to obtain the amplitude of the discrete signal;
and judging whether the discrete signal is a drop signal or not according to the amplitude.
Preferably, the droplet detecting device includes: the device comprises a signal acquisition circuit, a low-pass filter circuit and a signal amplification circuit;
the signal acquisition circuit is used for acquiring a dripping signal of the infusion equipment;
the low-pass filter circuit is connected with the signal acquisition circuit and is used for receiving the dripping signal output by the signal acquisition circuit and carrying out low-pass filtering processing on the dripping signal;
the signal amplification circuit is connected with the low-pass filter circuit and used for amplifying the dripping signal subjected to the low-pass filter processing and then outputting the detection signal.
Preferably, the droplet detecting apparatus further comprises:
and the clamping circuit is connected with the signal amplification circuit and is used for clamping voltage.
Preferably, the processor comprises: a DMA channel;
the DMA channel is used for storing the detection signal subjected to analog-to-digital conversion processing into a buffer.
Preferably, the processor samples the detection signal by means of cyclic sampling.
The invention also provides transfusion equipment which uses the drip detection and identification method; or
The infusion device comprises the drip detection and identification device.
The implementation of the drip detection and identification method, the device and the infusion equipment has the following beneficial effects: applied to an infusion device comprising: a droplet detecting means for detecting a droplet signal and generating a detection signal; the method comprises the following steps: acquiring a detection signal through a drip detection device; performing analog-to-digital conversion processing on the detection signal to obtain a discrete signal; performing operation processing on the discrete signal to obtain the amplitude of the discrete signal; and judging whether the discrete signal is a drop signal or not according to the amplitude. The invention is not influenced by the dropping speed of the drip and the installation position of the detection equipment, has low installation requirement on the detection equipment, can accurately identify the drip signal, and has simple hardware circuit, high processing speed and low cost.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a schematic block diagram of a droplet detection and identification apparatus provided in accordance with an embodiment of the present invention;
FIG. 2 is a circuit diagram of a droplet detection apparatus provided by an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method for droplet detection and identification according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of how fast a droplet signal changes according to the present invention;
FIG. 5 is a schematic of the cumulative sum of the absolute values of the rates of change of the droplet signals of the present invention;
FIGS. 6-9 are schematic diagrams of signals for normal installation of a drip clip;
FIGS. 10-13 are schematic diagrams of signals when a drip clip is installed too high;
FIGS. 14-17 are schematic diagrams of signals when a drip clip is installed too low;
FIG. 18 is a schematic view of a drip clip installation position;
FIG. 19 is a graph of the amplitude of a droplet signal;
FIG. 20 is a graphical representation of rate of change values of a droplet signal.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
The invention provides a method for detecting and identifying a drip, which aims to solve the problems of easy erroneous judgment, complex circuit, high cost and incapability of accurately identifying a correct drip signal in the existing detection of infusion drips. The method for detecting and identifying the drops can be realized by the drop detection and identification device provided by the embodiment of the invention.
Specifically, referring to fig. 1, fig. 1 is an alternative embodiment of the droplet detection and identification apparatus provided by the present invention.
As shown in fig. 1, the droplet detection and identification apparatus may include: a drip detection device and a processor connected with the drip detection device.
In particular, in some embodiments, the droplet detection apparatus is configured to detect a droplet signal and generate a detection signal.
Further, in some embodiments, the droplet detection apparatus comprises: the device comprises a signal acquisition circuit, a low-pass filter circuit and a signal amplification circuit.
Wherein, the signal acquisition circuit is used for acquiring a dripping signal of the transfusion equipment. The low-pass filter circuit is connected with the signal acquisition circuit and is used for receiving the dripping signals output by the signal acquisition circuit and performing low-pass filtering processing on the dripping signals; the signal amplifying circuit is connected with the low-pass filter circuit and used for amplifying the dripping signals subjected to the low-pass filter processing and then outputting detection signals. In some embodiments, the signal amplification circuit is arranged to make the collected signals better readable and recognizable by the processor. By arranging the low-pass filter circuit, the collected signals can be filtered to remove interference signals.
Further, in some other embodiments, the droplet detection apparatus further comprises: and the clamping circuit is connected with the signal amplification circuit and is used for clamping voltage. The voltage clamp can be positioned within the clamping voltage of the clamping circuit by arranging the clamping circuit, so that the phenomenon that the processor is influenced and even damaged by overhigh voltage due to transmission of the overhigh voltage to the processor is avoided.
Referring to fig. 2, fig. 2 is a circuit diagram of a droplet detection apparatus according to an alternative embodiment of the present invention.
As shown in fig. 2, in this embodiment, the signal acquisition circuit includes: the infrared emission device comprises a first resistor R1, a first infrared emission tube D1, a second resistor R2, a second infrared emission tube D2, a first infrared receiving tube Q1, a third resistor R3 and an eighth resistor R8. The low-pass filter circuit includes: a fourth resistor R4 and a second capacitor C2. The signal amplification circuit includes: the circuit comprises an amplifier U1A, a fifth resistor R5, a sixth resistor R6 and a first capacitor C1. The clamp circuit includes: a voltage regulator tube D3.
As shown in fig. 2, a first terminal of the first resistor R1 is connected to a high level (5V), a second terminal of the first resistor R1 is connected to an anode of the first ir emitting tube D1, and a cathode of the first ir emitting tube D1 is grounded. A first end of the second resistor R2 is connected to a high level (5V), a second end of the second resistor R2 is connected to an anode of the second infrared emitter tube D2, and a cathode of the second infrared emitter tube D2 is grounded. The first end of the third resistor R3 is connected to a high level (5V), the second end of the third resistor R3 is connected to the first end of the first infrared receiving tube Q1, the second end of the first infrared receiving tube Q1 is grounded through the eighth resistor R8, the second end of the first infrared receiving tube Q1 is further connected to the first end of the fourth resistor R4, the second end of the fourth resistor R4 is connected to the positive input end of the operational amplifier U1A and the first end of the second capacitor C2, and the second end of the second capacitor C2 is grounded. The negative input end of the operational amplifier U1A is grounded through a fifth resistor R5, the first end of a sixth resistor R6 is connected with the negative input end of the operational amplifier U1A, the second end of the sixth resistor R6 is connected with the output end of the operational amplifier U1A, and a first capacitor C1 is connected with the sixth resistor R6 in parallel. The output end of the operational amplifier U1A is connected with the anode of the voltage regulator tube D3, and the cathode of the voltage regulator tube D3 is at high level (3.3V).
Further, a seventh resistor R7 and a third capacitor C3 may be included. The first end of the seventh resistor R7 is connected to the output end of the operational amplifier U1A, the second end of the seventh resistor R7 is connected to the first end of the third capacitor C3 and to the input interface of the processor, and the second end of the third capacitor C3 is grounded.
The seventh resistor R7 and the third capacitor C3 are arranged at the output end of the operational amplifier U1A, so that the detection signal can be further filtered, the interference signal can be removed, and the stability of the detection signal can be further improved.
In some embodiments, the processor; the processor is configured to: receiving a detection signal output by the drip detection device; performing analog-to-digital conversion processing on the detection signal to obtain a discrete signal; performing operation processing on the discrete signal to obtain the amplitude of the discrete signal; and judging whether the discrete signal is a drop signal or not according to the amplitude. Wherein, the interface of the processor and the drip detection device is an ADC interface. In some embodiments, the processor samples the detection signal by cyclic sampling.
Further, in some embodiments, the processor comprises: a DMA channel. The DMA channel is used for storing the detection signal after analog-to-digital conversion processing into a buffer.
Referring to fig. 3, fig. 3 is a flow chart of a method according to an alternative embodiment of the embodiments of the present invention.
As shown in fig. 3, the drip detection and identification method is applied to infusion equipment, and comprises the following steps:
step S10, acquiring a detection signal by the drip detection device.
Specifically, after the detection signal is acquired by the drip detection device, the detection signal is transmitted to the processor in real time by the drip detection device, and the ADC interface of the processor receives the detection signal transmitted by the drip detection device.
Wherein, the bit detection device includes: the device comprises a signal acquisition circuit, a low-pass filter circuit and a signal amplification circuit.
Acquiring a detection signal by a droplet detection apparatus includes: collecting a dripping signal of the transfusion equipment through a signal collecting circuit; carrying out low-pass filtering processing on the dripping signal through a low-pass filtering circuit; and amplifying the dripping signal subjected to the low-pass filtering by a signal amplifying circuit, and outputting a detection signal.
And step S20, performing analog-to-digital conversion processing on the detection signal to obtain a discrete signal.
Specifically, performing analog-to-digital conversion on the detection signal to obtain a discrete signal includes:
step S201, cyclically sampling the detection signal, and performing analog-to-digital conversion on the detection signal.
Step S202, filtering the detection signal subjected to the analog-to-digital conversion.
Wherein, the filtering process of the detection signal after the analog-to-digital conversion process includes: sequencing the detection signals of the buffer by adopting a bubbling method; removing the maximum value and the minimum value in the detection signal; and averaging the remaining data in the detection signal from which the maximum value and the minimum value have been removed to obtain an average value of the remaining data. The interference signal can be removed by removing the head and tail values such as the maximum value and the minimum value, and averaging the data in the middle.
Step S203, storing the filtered detection signal in a preset queue to obtain a discrete signal.
Further, in some embodiments, before step S202, the method may further include: and storing the detection signal subjected to analog-to-digital conversion into a buffer. Specifically, the processor may store the detection signal subjected to the analog-to-digital conversion process in the data buffer through a DMA channel (direct memory access). Wherein the process does not occupy the resources of the processor, thereby completing the sampling of the detection signal. In the embodiment of the invention, the discrete signal is a digital drip signal obtained after analog-to-digital conversion processing.
And step S30, performing operation processing on the discrete signal to obtain the amplitude of the discrete signal.
Specifically, in some embodiments, performing the operation on the discrete signal to obtain the amplitude of the discrete signal includes:
step S301, performing difference processing on the discrete signal to obtain a change rate of the discrete signal.
Specifically, by performing mathematical modeling analysis on the sampled droplet simulation signal, it can be known that, in the cycle time T (T1, T2), the droplet simulation signal equation is y ═ f (T): when there is no droplet, f '(t) is differentiated by d (y)/dt, and this f' (t) value is small. When a droplet is dropped, the droplet simulation signal f (t) is subjected to differentiation processing f '(x) ═ d (y)/dt to obtain the change rate f' (x) of the droplet signal, regardless of the distortion of the signal or interference signals. The change rate f' (x) of the droplet signal is related to the change speed dy of the signal of the droplet in unit time dt, and can be easily distinguished from other interference signals. Therefore, based on the analysis, the present invention performs differential processing on the sampled discrete signal to obtain the rate of change of the discrete signal. Wherein, in the process of shielding infrared light by drip, the change is from nothing to nothing, and then from presence to nothing, and the process of amplitude change is provided, as shown in fig. 19 specifically; the rate of change of the discrete signal has a positive or negative score, where positive or negative indicates whether the droplet is proceeding from the absence to the presence or from the presence to the absence, as shown in fig. 20.
Step S302, absolute value processing is carried out on the change rate of the discrete signal, and the absolute value of the change rate of the discrete signal is obtained.
Furthermore, in the process of shielding infrared light by drop, the change is from nothing to nothing, and then from presence to nothing, the value of the change rate of the drop signal has a positive and negative score, and the positive and negative score indicates the process of the drop from absence to presence or from presence to absence. Therefore, the embodiment of the present invention performs absolute value processing on the change rate of the discrete signal to obtain the absolute value of the change rate of the discrete signal. The absolute value of the change rate of the discrete signal reflects a process of how fast the droplet changes per unit time, as shown in fig. 4.
Step S303, obtaining the amplitude of the discrete signal according to the absolute value of the change rate of the discrete signal.
Wherein obtaining the amplitude of the discrete signal according to the absolute value of the rate of change of the discrete signal comprises: cumulatively summing the absolute values of the rates of change of the discrete signals to obtain a cumulative sum of the absolute values of change of the discrete signals; the cumulative sum of the absolute values of the variations of the discrete signals is the amplitude of the discrete signals.
Specifically, in step S302, the absolute value of the rate of change of the discrete signal is calculated in order to calculate the cumulative sum of the absolute values of the rates of change of the discrete signal during a specific time t when the droplet drops through the droplet holder infrared light recognition region in this step, and the larger the cumulative sum, the more the signal appearing during the specific time t matches the characteristic of the droplet signal. As shown in particular in fig. 5.
And step S40, judging whether the discrete signal is a drip signal according to the amplitude.
Wherein, judging whether the discrete signal is a droplet signal according to the amplitude comprises:
step S401, comparing the amplitude value with a preset value.
And step S402, judging whether the amplitude is greater than or equal to a preset value.
And S403, if yes, judging the discrete signal to be a drip signal.
Specifically, when no droplet is dropped, the cumulative sum of the absolute values of the rates of change of the discrete signals is close to 0; when a drop drops, a large peak value overedged can be formed in a specific time period T (T1, T2), so that the invention can distinguish a drop signal from an interference signal by acquiring the amplitude of a discrete signal, thereby accurately identifying the correct drop signal.
Further, in the embodiment of the present invention, the preset value is not a fixed value, and may be continuously adjusted according to the actual detection precision, so as to meet the detection precision.
The following description will be given with specific examples.
FIG. 18 shows a schematic view of the installation of a drip clip. The device comprises a base, a plurality of drip clips, a plurality of C points and a plurality of C points, wherein the A point is a schematic diagram that the drip clips are installed too high, the B point is a schematic diagram that the drip clips are installed normally, and the C point is a schematic diagram that the drip clips are installed too low.
As shown in fig. 6, in order to obtain the original detection signal collected by the drip detection device when the drip clip is normally installed and the infusion rate is slightly faster, fig. 7 is a schematic diagram of the change rate of the discrete signal obtained after the identification method according to the embodiment of the present invention, fig. 8 is a schematic diagram of the absolute value of the change rate of the discrete signal, and fig. 9 is a schematic diagram of the cumulative sum of the absolute values of the change rates of the discrete signal.
Fig. 10 shows an original detection signal collected by the drip detection device when the drip clip is installed too high and too close to the spout, fig. 11 is a schematic diagram of a change rate of a discrete signal obtained after processing by the identification method according to the embodiment of the present invention, fig. 12 is a schematic diagram of an absolute value of the change rate of the discrete signal, and fig. 13 is a schematic diagram of a cumulative sum of absolute values of the change rates of the discrete signal.
Fig. 14 shows the original detection signal collected by the droplet detecting device when the droplet clip is installed too low to be close to the liquid surface, fig. 15 shows the change rate of the discrete signal obtained by the identification method according to the embodiment of the present invention, fig. 16 shows the absolute value of the change rate of the discrete signal, and fig. 17 shows the cumulative sum of the absolute values of the change rates of the discrete signal.
It can be seen from the above three examples that, after a series of digital signal conversion processes are performed on some detection signals which are seriously distorted, the method can identify signals which cannot be identified by hardware, and can identify more deformation signals encountered in practical application so as to obtain correct droplet signals.
The invention also provides infusion equipment which can use the drop detection and identification method disclosed by the embodiment of the invention; alternatively, the infusion device comprises the drip detection and identification device disclosed by the embodiment of the invention.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should be covered by the claims of the present invention.
Claims (14)
1. A drip detection and identification method is applied to infusion equipment, and is characterized in that the infusion equipment comprises: a droplet detecting means for detecting a droplet signal and generating a detection signal; the method comprises the following steps:
acquiring a detection signal by the drip detection device;
performing analog-to-digital conversion processing on the detection signal to obtain a discrete signal;
performing operation processing on the discrete signal to obtain the amplitude of the discrete signal;
and judging whether the discrete signal is a drop signal or not according to the amplitude.
2. A droplet detection and identification method according to claim 1, wherein said droplet detection apparatus comprises: the device comprises a signal acquisition circuit, a low-pass filter circuit and a signal amplification circuit;
the acquiring of the detection signal by the droplet detection apparatus includes:
collecting a dripping signal of the transfusion equipment through the signal collecting circuit;
carrying out low-pass filtering processing on the dripping signal through the low-pass filtering circuit;
and amplifying the dripping signal subjected to the low-pass filtering by the signal amplifying circuit, and outputting the detection signal.
3. A droplet detection and identification method according to claim 1, wherein said performing analog-to-digital conversion on said detection signal to obtain a discrete signal comprises:
circularly sampling the detection signal and carrying out analog-to-digital conversion on the detection signal;
filtering the detection signal subjected to analog-to-digital conversion;
and storing the detection signal subjected to filtering processing into a preset queue to obtain the discrete signal.
4. A droplet detection and identification method according to claim 3, wherein said filtering of the analog-to-digital converted detection signal comprises:
and storing the detection signal subjected to analog-to-digital conversion into a buffer.
5. A droplet detection and identification method according to claim 4, wherein said filtering the analog-to-digital converted detection signal comprises:
sequencing the detection signals of the buffer by adopting a bubbling method;
removing a maximum value and a minimum value in the detection signal;
and carrying out average processing on the residual data in the detection signals with the maximum value and the minimum value removed to obtain an average value of the residual data.
6. A droplet detection and identification method according to claim 1, wherein said performing an operation on said discrete signal to obtain an amplitude of said discrete signal comprises:
carrying out differential processing on the discrete signals to obtain the change rate of the discrete signals;
processing the absolute value of the change rate of the discrete signal to obtain the absolute value of the change rate of the discrete signal;
and obtaining the amplitude of the discrete signal according to the absolute value of the change rate of the discrete signal.
7. A drop detection identification method as claimed in claim 6 wherein said deriving an amplitude of said discrete signal from an absolute value of a rate of change of said discrete signal comprises:
cumulatively summing the absolute values of the rates of change of the discrete signals to obtain a cumulative sum of the absolute values of change of the discrete signals;
the cumulative sum of the absolute values of the variations of the discrete signal is the amplitude of the discrete signal.
8. A drop detection method as claimed in claim 1, wherein said determining whether said discrete signal is a drop signal based on said amplitude comprises:
comparing the amplitude value with a preset value;
judging whether the amplitude is greater than or equal to the preset value;
if yes, the discrete signal is judged to be a drop signal.
9. A droplet detection and identification device, comprising: the drip detection device is used for detecting a drip signal and generating a detection signal, and the processor is connected with the drip detection device; the processor is configured to:
receiving a detection signal output by the drip detection device;
performing analog-to-digital conversion processing on the detection signal to obtain a discrete signal;
performing operation processing on the discrete signal to obtain the amplitude of the discrete signal;
and judging whether the discrete signal is a drop signal or not according to the amplitude.
10. A drop detection and identification device as claimed in claim 9 wherein said drop detection device comprises: the device comprises a signal acquisition circuit, a low-pass filter circuit and a signal amplification circuit;
the signal acquisition circuit is used for acquiring a dripping signal of the infusion equipment;
the low-pass filter circuit is connected with the signal acquisition circuit and is used for receiving the dripping signal output by the signal acquisition circuit and carrying out low-pass filtering processing on the dripping signal;
the signal amplification circuit is connected with the low-pass filter circuit and used for amplifying the dripping signal subjected to the low-pass filter processing and then outputting the detection signal.
11. A drop detection and identification device as claimed in claim 10, wherein said drop detection device further comprises:
and the clamping circuit is connected with the signal amplification circuit and is used for clamping voltage.
12. A drop detection and identification device as claimed in claim 9 wherein said processor comprises: a DMA channel;
the DMA channel is used for storing the detection signal subjected to analog-to-digital conversion processing into a buffer.
13. A drop detection and identification device as claimed in claim 9, wherein said processor samples said detection signal by cyclic sampling.
14. An infusion device, characterized in that it uses the drop detection recognition method of any one of claims 1-8; or
The infusion device comprising a drop detection identification apparatus as claimed in any of claims 9-13.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120013735A1 (en) * | 2010-07-15 | 2012-01-19 | Kai Tao | IV monitoring by video and image processing |
| CN102716527A (en) * | 2012-06-28 | 2012-10-10 | 长沙健源医疗科技有限公司 | Detection method for liquid drops of transfusion pump |
| US20130336814A1 (en) * | 2011-12-21 | 2013-12-19 | Deka Products Limited Partnership | Apparatus for Infusing Fluid |
| CN104014051A (en) * | 2014-06-24 | 2014-09-03 | 国网上海市电力公司 | Status monitoring device |
| CN105148354A (en) * | 2015-07-30 | 2015-12-16 | 陈威 | Drop detection device of separated structure and high anti-interference detection method |
| CN105214170A (en) * | 2014-05-27 | 2016-01-06 | 田万宝 | A kind of transfusion drip speed testing circuit |
| CN107101984A (en) * | 2017-05-18 | 2017-08-29 | 广东顺德工业设计研究院(广东顺德创新设计研究院) | Signal waveform characteristic detection method, device, storage medium and computer equipment |
| CN107773810A (en) * | 2017-11-16 | 2018-03-09 | 湖南工业大学 | Transfusion drip speed automaton |
-
2020
- 2020-07-23 CN CN202010715718.4A patent/CN111870775B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120013735A1 (en) * | 2010-07-15 | 2012-01-19 | Kai Tao | IV monitoring by video and image processing |
| US20130336814A1 (en) * | 2011-12-21 | 2013-12-19 | Deka Products Limited Partnership | Apparatus for Infusing Fluid |
| CN102716527A (en) * | 2012-06-28 | 2012-10-10 | 长沙健源医疗科技有限公司 | Detection method for liquid drops of transfusion pump |
| CN105214170A (en) * | 2014-05-27 | 2016-01-06 | 田万宝 | A kind of transfusion drip speed testing circuit |
| CN104014051A (en) * | 2014-06-24 | 2014-09-03 | 国网上海市电力公司 | Status monitoring device |
| CN105148354A (en) * | 2015-07-30 | 2015-12-16 | 陈威 | Drop detection device of separated structure and high anti-interference detection method |
| CN107101984A (en) * | 2017-05-18 | 2017-08-29 | 广东顺德工业设计研究院(广东顺德创新设计研究院) | Signal waveform characteristic detection method, device, storage medium and computer equipment |
| CN107773810A (en) * | 2017-11-16 | 2018-03-09 | 湖南工业大学 | Transfusion drip speed automaton |
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