CN105496413A - Method for acquiring vital capacity of spirometer - Google Patents
Method for acquiring vital capacity of spirometer Download PDFInfo
- Publication number
- CN105496413A CN105496413A CN201510929480.4A CN201510929480A CN105496413A CN 105496413 A CN105496413 A CN 105496413A CN 201510929480 A CN201510929480 A CN 201510929480A CN 105496413 A CN105496413 A CN 105496413A
- Authority
- CN
- China
- Prior art keywords
- waveform
- spirometer
- impulse
- vital capacity
- air blowing
- 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
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/091—Measuring volume of inspired or expired gases, e.g. to determine lung capacity
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Pulmonology (AREA)
- Biomedical Technology (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Physiology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a method for acquiring vital capacity of a spirometer. The method comprises steps as follows: a microprocessor with an A/D conversion function is used for directly reading blowing signals of the spirometer, a continuous waveform in a blowing time period is acquired at the acquisition frequency of more than two integral multiples of the rated speed of a rotary turbine of the spirometer, the number M of impulse waves in an effective blowing time period is acquired by use of the number of the maximum inflection points according to a reference value line and the characteristic that the maximum amplitude point of a waveform approaches the starting end of the waveform in a voltage period during forward rotation of blades, and the vital capacity is acquired through waveform analysis. According to the method, the impulse waveform converted by a turbine module is directly accessed to a microprocessor single-chip microcomputer, a middle analog signal processing circuit is omitted, the circuit design cost is saved, the hardware circuit risk is reduced, and frequency limitation of components and environment caused interference are reduced. Through high-frequency and high-speed ADC conversion processing, digital filtering and follow-up algorithm processing, accuracy and easiness in maintenance are realized, and the blowing speed at any moment can be read with the method.
Description
Technical field
The invention belongs to field of medical device, particularly a kind of spirometer vital capacity acquisition methods.
Background technology
Usually, spirometer thermometrically enters and leaves the air of lung and air flue, and often acts on the preliminary test of the lung of evaluating patient and the health status of air flue and the means for following the tracks of disease treatment process and medication effect termly.The parameter of spirometer mainly contains respiratory capacity test and respiration rate test, respectively in units of liter and liter/second.
When carrying out vital capacity thermometrically, prior art adopts the method for analog circuitry processes usually, by the pulse signal of collection respectively through filtering, amplify, compare, and then according to filtering, amplify, calculating that the result that compares carries out vital capacity relevant parameter.But, adopt the method for analog circuitry processes, need each discrete component that filter circuit, amplifying circuit, comparison circuit are set, which not only adds circuit design cost, increase hardware debug risk, and analogue signal is easily subject to the impact of the frequency limit of electronic devices and components own in the process of process, is also vulnerable to the interference of external environment simultaneously, gather waveform and decay or deformation also can occur, cause erroneous judgement.
Summary of the invention
The object of the invention is to propose a kind of vital capacity and take into account spirometer calculation method, by the method, the impulse waveform received through receiving tube is directly accessed microprocessor single-chip microcomputer, save middle analog signal processing circuit, save circuit design cost, reduce the interference of components and parts and environment introducing, directly carry out high-frequency high-speed ADC conversion processing, digital filtering, later programmed algorithm process, accurate and easy care, obtain spirometric parameters accurately, particularly can obtain the blowing speeds of any time.
To achieve these goals, technical scheme of the present invention is:
A kind of spirometer vital capacity acquisition methods, comprise the air blowing signal directly reading spirometer with the microprocessor changed with A/D, described air blowing signal changes by infrared emission receiving sensor the voltage pulse waveforms signal obtained from spirometer air impeller rotating vane rotational angle, during air blowing, blade rotates forward, when blade rotates forward in voltage one-period waveform maximum amplitude point close to waveform initiating terminal, blade reversion during air-breathing, during blade reversion in voltage one-period waveform maximum amplitude point close to waveform extremities; Wherein, described vital capacity acquisition methods is:
A, with the frequency acquisition of spirometer revolving wormgear rated speed more than 2 times integral multiples, gathers the continuous impulse waveform in the gassing time cycle;
B, in acquisition continuous impulse each impulse wave cycle of waveform, wave-average filtering value is as continuous wave reference value line;
C, when benchmark value line and blade rotate forward in voltage one-period waveform maximum amplitude point close to the feature of waveform initiating terminal, statistics blade rotates forward the number of continuous impulse waveform maximum flex point, and the number of flex point is exactly the blade rotating forward impulse wave number M in an air blowing effective time section;
D, according to formula: sampling number/sample frequency in the impulse wave cycle of T=, obtains the cycle duration T of each pulse
1, T
2t
n; By formula: L=M × α obtains vital capacity, factor alpha is the capacity often turning correspondence of spirometer nominal; By formula:
obtain blowing speeds and the average speed in a cycle of blowing in the n-th impulse wave cycle.
Scheme is further: a described air blowing effective time section is: in the time period of stopping for " 0 " moment to last effective impulse ripple time from first air blowing effective impulse ripple.
Scheme is further: the decision method of last effective impulse ripple described is: the previous impulse wave when constant or rate of change is less than a setting value of maximum to the magnitude of voltage obtained continuously within the time set is as last effective impulse ripple.
Scheme is further: be 0.5 second to 1 second in the time of a described setting, a described setting value is 1%.
Scheme is further: described continuous impulse waveform is that continuous print to meet when blade rotates forward in voltage one-period waveform maximum amplitude point close to the waveform of the feature of waveform initiating terminal, when there is the waveform not belonging to this category feature in waveform and this type of waveform frequency is greater than the permissible value of setting time, this type of waveform will be removed, or think and gather unsuccessfully, send the order of Resurvey.
Scheme is further: when the waveform of this category feature occurs continuously, think and gather unsuccessfully, send the order of Resurvey.
A kind of spirometer realizing said method, comprise the microprocessor with A/D conversion and turbine type air blowing sensor, display module, communication module, clock module, memory module, buzzer module and key-press module is connected with around microprocessor, wherein, the voltage analog signal of described turbine type air blowing sensor is connected directly to the A/D conversion input port of microprocessor.
The invention has the beneficial effects as follows:
The impulse waveform transformed through turbine module is directly accessed microprocessor single-chip microcomputer by the present invention, saves middle analog signal processing circuit, saves circuit design cost, reduces hardware circuit risk, reduces the interference of components and parts frequency limitation and environment introducing.
The present invention adopts high-frequency high-speed ADC conversion processing, digital filtering, and subsequent algorithm process, and accurate and easy care, can read the blowing speeds of any time by this method.
Below in conjunction with drawings and Examples, the present invention is described in detail.
Accompanying drawing explanation
Fig. 1 is turbine air blowing sensor operating principles schematic diagram;
Fig. 2 is turbine air blowing sensor blade reversion schematic diagram;
Fig. 3 is that turbine air blowing sensor blade rotates forward schematic diagram;
Fig. 4 is the blade reversal voltage waveform schematic diagram of corresponding diagram 2;
Fig. 5 is that the blade of corresponding diagram 3 rotates forward voltage waveform view;
Fig. 6 is actual air blowing voltage waveform view;
Fig. 7 is spirometer control circuit schematic diagram.
Detailed description of the invention
Embodiment 1:
A kind of spirometer vital capacity acquisition methods, comprise the air blowing signal directly reading spirometer with the microprocessor changed with A/D, as shown in Figure 1: the right side of figure is far infrared transceiver, comprise transmitting tube 5 and receiving tube 6, this device can transmit and receive infrared signal.When testing, the leaf 7 of turbine rotates.As shown in Figure 2, when reversely rotating, the direction of leaf position from 1 → 2, blade incision infrared facility region, blade continues to rotate, and infrared receiver starts the infrared ray receiving varying strength, is converted to voltage signal.Blade finally gets back to L position by B, C, D, E successively.Signal waveform describes sees corresponding location point in Fig. 4.Signal is herein a continuous voltage signal, its size is controlled by the peripheral circuit of far infrared transceiver, infrared receiver starts the infrared ray receiving varying strength, and be converted into continuous print voltage signal, angle according to infrared transmitting device is arranged, when signal intensity reach maximum after, along with the continuation of turbine rotates, signal intensity can reduce rapidly, therefore infrared receiver can produce analog signal waveform as shown in Figure 4, and magnitude of voltage size is within single-chip microcomputer tolerance interval.The continuous voltage signal that infrared receiver exports passes through the AD samples storage of single-chip microcomputer in single-chip microcomputer, is further processed; When rotating forward, as shown in Figure 3, when blade according to 3 → 4 direction rotate time, as Fig. 3 arrow direction indication, move to A position by L position, start to be cut into infrared spectral range, blade continue rotate, finally get back to L position by B, C, D, E successively.Signal waveform describes sees corresponding location point in Fig. 5.When signal intensity reach maximum after, along with the continuation of turbine rotates, signal intensity reduces relatively slow, and infrared receiver receives analog waveform as shown in Figure 5; Therefore, judgement for turbine rotation direction is summarized as: within a pulse period, according to the starting point of maximum of points apart from this pulse period and the distance of terminal, judge the positive and negative of turbine rotation direction, if maximum of points distance starting point closer (namely sampling number is less than the sampling number of distance terminal), then judge that turbine is as rotating forward, on the contrary, if maximum of points distance starting point distant (namely sampling number is greater than the sampling number of distance terminal), then judge that turbine is as rotating backward.As shown in Figure 6, the waveform of its reality is irregular.According to above-mentioned principle, therefore: described air blowing signal changes by infrared emission receiving sensor the voltage pulse waveforms signal obtained from spirometer air impeller rotating vane rotational angle, during air blowing, blade rotates forward, when blade rotates forward in voltage one-period waveform maximum amplitude point close to waveform initiating terminal, blade reversion during air-breathing, during blade reversion, in voltage one-period, waveform maximum amplitude point plays end close to waveform; Wherein, described vital capacity acquisition methods is:
A, with the frequency acquisition of spirometer revolving wormgear rated speed more than 2 times integral multiples, gather the continuous impulse waveform in the gassing time cycle, continuous impulse waveform is formed by multiple collection point;
B, in acquisition continuous impulse each impulse wave cycle of waveform, wave-average filtering value is as continuous wave reference value line, and described meansigma methods is the meansigma methods of maximum and minima;
C, when benchmark value line and blade rotate forward in voltage one-period waveform maximum amplitude point close to the feature of waveform initiating terminal, obtaining the impulse wave number M in an air blowing effective time section, is the quantity acquisition being rotated forward continuous impulse waveform maximum flex point by statistics blade;
D, according to formula: sampling number/sample frequency in the impulse wave cycle of T=, obtains the cycle duration T of each pulse
1, T
2t
n; By formula: L=M × α obtains vital capacity, factor alpha is the capacity (being a datum) often turning correspondence of spirometer nominal; By formula:
obtain blowing speeds and the average speed (by obtaining the speed in each cycle, being then averaged acquisition) in a cycle of blowing in the n-th impulse wave cycle.
In embodiment: a described air blowing effective time section is: in the time period of stopping for " 0 " moment to last effective impulse ripple time from first air blowing effective impulse ripple.
In embodiment: the decision method of last effective impulse ripple described is: the previous impulse wave when constant or rate of change is less than a setting value of maximum to the magnitude of voltage obtained continuously within the time set is as last effective impulse ripple.Wherein: be 0.5 second to 1 second in the time of a described setting, a described setting value is 1%.
In embodiment: described continuous impulse waveform be continuous print when meeting blade main story in voltage one-period waveform maximum amplitude point close to the waveform of the feature of waveform initiating terminal, when there is the waveform not belonging to this category feature in waveform (such as: the waveform when data frequency adopted is more taller than the restriction multiple of sample frequency) and this type of waveform frequency is greater than the permissible value of setting time, this type of waveform will be removed, or think and gather unsuccessfully, send the order of Resurvey.
In embodiment: when the waveform of this category feature described occurs continuously, think and gather unsuccessfully, send the order of Resurvey.
Embodiment 2:
The present embodiment is a kind of spirometer realizing method described in embodiment 1, as shown in Figure 7, comprise with A/D(ADC) the microprocessor single-chip microcomputer changed and turbine type air blowing sensor, be connected with display module, communication module, clock module, memory module, buzzer module and key-press module around microprocessor, the voltage analog signal of described turbine type air blowing sensor is connected directly to the A/D conversion input port of microprocessor.
Claims (7)
1. a spirometer vital capacity acquisition methods, comprise the air blowing signal directly reading spirometer with the microprocessor changed with A/D, described air blowing signal changes by infrared emission receiving sensor the voltage pulse waveforms signal obtained from spirometer air impeller rotating vane rotational angle, during air blowing, blade rotates forward, when blade rotates forward in voltage one-period waveform maximum amplitude point close to waveform initiating terminal, blade reversion during air-breathing, during blade reversion in voltage one-period waveform maximum amplitude point close to waveform extremities; It is characterized in that, described vital capacity acquisition methods is:
A, with the frequency acquisition of spirometer revolving wormgear rated speed more than 2 times integral multiples, gathers the continuous impulse waveform in the gassing time cycle;
B, obtains wave-average filtering value in continuous impulse each impulse wave cycle of waveform, as continuous wave reference value line;
C, when benchmark value line and blade rotate forward in voltage one-period waveform maximum amplitude point close to the feature of waveform initiating terminal, statistics blade rotates forward the number of continuous impulse waveform maximum flex point, and the number of flex point is exactly the blade rotating forward impulse wave number M in an air blowing effective time section;
D, according to formula: sampling number/sample frequency in the impulse wave cycle of T=, obtains the cycle duration T of each pulse
1, T
2t
n; By formula: L=M × α obtains vital capacity, factor alpha is the capacity often turning correspondence of spirometer nominal; By formula:
obtain blowing speeds and the average speed in a cycle of blowing in the n-th impulse wave cycle.
2. vital capacity acquisition methods according to claim 1, is characterized in that, a described air blowing effective time section is: in the time period of stopping for " 0 " moment to last effective impulse ripple time from first air blowing effective impulse ripple.
3. vital capacity acquisition methods according to claim 2, it is characterized in that, the decision method of last effective impulse ripple described is: the previous impulse wave when constant or rate of change is less than a setting value of maximum to the magnitude of voltage obtained continuously within the time set is as last effective impulse ripple.
4. vital capacity acquisition methods according to claim 3, is characterized in that, be 0.5 second to 1 second in the time of a described setting, a described setting value is 1%.
5. vital capacity acquisition methods according to claim 1, it is characterized in that, described continuous impulse waveform is that continuous print to meet when blade rotates forward in voltage one-period waveform maximum amplitude point close to the waveform of the feature of waveform initiating terminal, when there is the waveform not belonging to this category feature in waveform and this type of waveform frequency is greater than the permissible value of setting time, this type of waveform will be removed, or think and gather unsuccessfully, send the order of Resurvey.
6. vital capacity acquisition methods according to claim 5, is characterized in that, when the waveform of this category feature occurs continuously, thinks and gathers unsuccessfully, send the order of Resurvey.
7. one kind realizes the spirometer of method described in claim 1, comprise the microprocessor with A/D conversion and turbine type air blowing sensor, display module, communication module, clock module, memory module, buzzer module and key-press module is connected with around microprocessor, it is characterized in that, the voltage analog signal of described turbine type air blowing sensor is connected directly to the A/D conversion input port of microprocessor.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510929480.4A CN105496413B (en) | 2015-12-15 | 2015-12-15 | A kind of spirometer lung capacity acquisition methods |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510929480.4A CN105496413B (en) | 2015-12-15 | 2015-12-15 | A kind of spirometer lung capacity acquisition methods |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105496413A true CN105496413A (en) | 2016-04-20 |
CN105496413B CN105496413B (en) | 2018-10-09 |
Family
ID=55704985
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510929480.4A Active CN105496413B (en) | 2015-12-15 | 2015-12-15 | A kind of spirometer lung capacity acquisition methods |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105496413B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109549648A (en) * | 2018-11-06 | 2019-04-02 | 深圳市龙华区中心医院 | A kind of intelligent breathing internal medicine lung function Training Control system and method |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3680378A (en) * | 1970-09-11 | 1972-08-01 | Fibre Optics Ind Inc | Fluid flow rate meter |
US3922525A (en) * | 1974-05-13 | 1975-11-25 | Kozak Zdenek | Bidirectional spirometer |
US4282883A (en) * | 1978-07-03 | 1981-08-11 | Scitec Corporation Ltd. | Spirometers |
US6126613A (en) * | 1999-02-08 | 2000-10-03 | Edwards; Raymond A. | Device and method to measure inhalation and exhalation air flows |
US6155985A (en) * | 1997-08-25 | 2000-12-05 | Taema | Process for determining the image of the nasal and/or buccal respiratory flow of a user |
CN101073683A (en) * | 2007-06-25 | 2007-11-21 | 朱伟 | Intermittent air-blowing appliance for treating sleep-respiratory disorder and its control |
CN202619654U (en) * | 2012-06-11 | 2012-12-26 | 成都恒瑞制药有限公司 | Small-size pneumatometer |
CN103987315A (en) * | 2011-10-17 | 2014-08-13 | 科斯梅德有限公司 | Antibacterial filter and turbine flowmeter for tests on respiratory functionality |
CN203971098U (en) * | 2014-04-09 | 2014-12-03 | 北京超思电子技术股份有限公司 | A kind of respirator |
CN104363830A (en) * | 2012-06-08 | 2015-02-18 | 庞德卫生保健创新公司 | Device, method and software for measuring exhalation capacity |
CN104605857A (en) * | 2015-02-12 | 2015-05-13 | 上海朔茂网络科技有限公司 | Lung function measuring method |
CN204562163U (en) * | 2015-03-27 | 2015-08-19 | 常州信息职业技术学院 | A kind of electronics lung vital capacity meter |
-
2015
- 2015-12-15 CN CN201510929480.4A patent/CN105496413B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3680378A (en) * | 1970-09-11 | 1972-08-01 | Fibre Optics Ind Inc | Fluid flow rate meter |
US3922525A (en) * | 1974-05-13 | 1975-11-25 | Kozak Zdenek | Bidirectional spirometer |
US4282883A (en) * | 1978-07-03 | 1981-08-11 | Scitec Corporation Ltd. | Spirometers |
US6155985A (en) * | 1997-08-25 | 2000-12-05 | Taema | Process for determining the image of the nasal and/or buccal respiratory flow of a user |
US6126613A (en) * | 1999-02-08 | 2000-10-03 | Edwards; Raymond A. | Device and method to measure inhalation and exhalation air flows |
CN101073683A (en) * | 2007-06-25 | 2007-11-21 | 朱伟 | Intermittent air-blowing appliance for treating sleep-respiratory disorder and its control |
CN103987315A (en) * | 2011-10-17 | 2014-08-13 | 科斯梅德有限公司 | Antibacterial filter and turbine flowmeter for tests on respiratory functionality |
CN104363830A (en) * | 2012-06-08 | 2015-02-18 | 庞德卫生保健创新公司 | Device, method and software for measuring exhalation capacity |
CN202619654U (en) * | 2012-06-11 | 2012-12-26 | 成都恒瑞制药有限公司 | Small-size pneumatometer |
CN203971098U (en) * | 2014-04-09 | 2014-12-03 | 北京超思电子技术股份有限公司 | A kind of respirator |
CN104605857A (en) * | 2015-02-12 | 2015-05-13 | 上海朔茂网络科技有限公司 | Lung function measuring method |
CN204562163U (en) * | 2015-03-27 | 2015-08-19 | 常州信息职业技术学院 | A kind of electronics lung vital capacity meter |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109549648A (en) * | 2018-11-06 | 2019-04-02 | 深圳市龙华区中心医院 | A kind of intelligent breathing internal medicine lung function Training Control system and method |
Also Published As
Publication number | Publication date |
---|---|
CN105496413B (en) | 2018-10-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN100407993C (en) | Digital signal process method for light- frequency conversion type pulse blood oxygen instrument | |
CN101991410B (en) | Pulse rate searching and calculating method | |
CN103750820A (en) | Method and device for monitoring sleep quality | |
CN103495263B (en) | A kind of sensor acquisition processing system of Implanted cardiac pacemaker and the control method based on this system | |
CN106037743B (en) | A kind of method and apparatus extracting respiratory rate | |
CN106841086A (en) | A kind of method for improving Atmospheric Survey Fourier spectrometer signal to noise ratio | |
CN103479349A (en) | Electrocardiosignal data acquisition and processing method and system | |
CN111657948B (en) | Sleep breathing state detection method, device and equipment | |
CN108294737B (en) | Heart rate measuring method and device and intelligent wearable equipment | |
CN108042107A (en) | A kind of PPG signals puppet difference correcting method | |
CN116701886B (en) | Intelligent analysis management system for exercise lung test data | |
CN104257390B (en) | Woundless blood sugar assay method and system | |
CN105496413A (en) | Method for acquiring vital capacity of spirometer | |
CN205280114U (en) | Electric automobile electrical resolver decoding circuit output signal accuracy testing system | |
CN205144547U (en) | Motion noise eliminates system suitable for wearable heart rate measurement equipment | |
CN201481422U (en) | Light-frequency converting pulse oximeter | |
CN105547130A (en) | Method and device for detecting pitch error of ABS ring gear | |
CN107280650B (en) | Method and device for acquiring characteristic parameters of living body | |
Mikhaylyuk et al. | Low-power heart rate telemetry system | |
CN105395191A (en) | Age group detection-based personnel physiological status detection device | |
WO2004084722A1 (en) | Method and apparatus for for identifying features in an ecg signal | |
CN210612129U (en) | Turbine type spirometer | |
CN104678122A (en) | Method for identifying rotation speed high teeth based on multi-point bubbling method | |
Wei et al. | An ECG Automatic Detection System with Baseline Drift Removal Based on SG Filter | |
CN110429923B (en) | Laser receiving signal digital processing method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |