CN109682958A - A kind of acceleration transducer signals compensation method for thrombelastogram instrument - Google Patents

A kind of acceleration transducer signals compensation method for thrombelastogram instrument Download PDF

Info

Publication number
CN109682958A
CN109682958A CN201811109023.0A CN201811109023A CN109682958A CN 109682958 A CN109682958 A CN 109682958A CN 201811109023 A CN201811109023 A CN 201811109023A CN 109682958 A CN109682958 A CN 109682958A
Authority
CN
China
Prior art keywords
signal
digital signal
vibration
compensation method
acceleration transducer
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
CN201811109023.0A
Other languages
Chinese (zh)
Other versions
CN109682958B (en
Inventor
金莹
廖家亮
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 Ward Life Technology Co Ltd
Original Assignee
Shenzhen Ward Life Technology 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 Ward Life Technology Co Ltd filed Critical Shenzhen Ward Life Technology Co Ltd
Priority to CN201811109023.0A priority Critical patent/CN109682958B/en
Publication of CN109682958A publication Critical patent/CN109682958A/en
Application granted granted Critical
Publication of CN109682958B publication Critical patent/CN109682958B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483Physical analysis of biological material
    • G01N33/487Physical analysis of biological material of liquid biological material
    • G01N33/49Blood
    • G01N33/4905Determining clotting time of blood

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Chemical & Material Sciences (AREA)
  • Hematology (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Urology & Nephrology (AREA)
  • Ecology (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

The present invention proposes a kind of acceleration transducer signals compensation method for thrombelastogram instrument, and the interference of sampling noise signal is eliminated using N point mean filter;Piezoelectric transducer technology is used simultaneously, analyzes vibration signal mathematical model, is eliminated due to vibrating bring vibration noise, is retained effective dynamic signal;Since the frequency and amplitude of vibration have periodicity and randomness, it is superimposed with useful signal, it cannot be achieved the effect that under special circumstances by Digital Signal Processing completely, therefore there is the case where strong correlation in piezoelectric transducer feedback signal and vibration noise, it is inputted by the feedback signal of piezoelectric transducer, better filter effect can be reached to compensate dynamic signal.

Description

A kind of acceleration transducer signals compensation method for thrombelastogram instrument
Technical field
The present invention relates to field of signal processing, especially a kind of acceleration transducer signals for thrombelastogram instrument are mended Compensation method.
Background technique
Thrombelastogram is to acquire blood in the power being solidified in fibrinolytic engineering by kinetic sensors detection technique Variable signal is learned, parametric results are calculated by data processing, the Coagulability for patient is assessed, and is applied to LVD blood and is examined The coagulation analysis in survey field, Coagulability assessment is usually used in clinical evaluation, such as postoperative hemorrhage, heart outer operation or postoperative blood In bolt, organ transplant, wound and cardiac surgical procedure or the thrombosis of postoperative generation.
United States blood company's T EG elastic force figure instrument can monitor the blood coagulation situation of patient at present, be based primarily upon following two thing Real: (1) final result of Blood Coagulation Process is to form blood clot;(2) physical property (rate, hardness, the stabilization of blood clot Property) will determine whether patient has normal coagulation function, if it can bleeding or formation thrombus.Teg Data Analysis Software is to adopting The dynamic signal of sample is filtered identification, data screening, output parameter result.
However, the above method but has the following problems: (1) Teg Data Analysis Software is carried out to by dynamic signal Single simple filtering often introduces mechanical oscillation in instrumentation engineering, what the noise signal that mechanical oscillation generate changed Frequency, filter can not eliminate noise signal at all;(2) data screening algorithm can only eliminate small vibration signal to a certain extent Interference, and at blood coagulation initial stage, the screening effect to the fast-changing signal of blood coagulation is not apparent.
Summary of the invention
To solve the above-mentioned problems, the present invention proposes that a kind of acceleration transducer signals for thrombelastogram instrument compensate Method eliminates the interference of sampling noise signal and due to vibrating bring vibration noise, and the feedback letter for passing through piezoelectric transducer Number input, to compensate dynamic signal to reach better filter effect.
What the invention is realized by the following technical scheme:
The present invention proposes a kind of acceleration transducer signals compensation method for thrombelastogram instrument, including following step It is rapid:
(1) dynamics digital signal S1 is obtained using dynamic signal sampling;
(2) dynamics digital signal S1 is subjected to mean filter, obtains digital signal S2;
(3) vibration is sampled into three directions (X-axis, Y-axis, Z axis) vibration digital signal A1-1, A1-2, A1-3;
(4) three direction vibration number word signal A1-1, A1-2, A1-3 become three direction digital signals by autocorrelation filter A2-1,A2-2,A2-3;
(5) digital signal S2 include effective dynamic signal S and vibration interference signal N, by three direction digital signal A2-1, A2-2, A2-3 calculate vibration interference signal N by formula Gaussian normal coefficient gass (n) conversion, then in digital signal S2 In filter out vibration interference signal N, extracted effective power signal S, output digit signals S3;
(6) digital signal S3 recognizes the stable maximum point and minimum point of effective impulse by algorithm of climbing;
(7) all maximum points are combined, generates elastic force figure coenvelope line, all minimum points are combined, generate elastic force Figure lower envelope line obtains elastic force figure G1;
(8) elastic force figure G1 is calculated, corresponding parametric results can be exported.
Preferably, in step (1), inducing probes immerse in blood, and the strength transfer of blood clotting and fibrinolytic is to induction Probe is transformed into analog electrical signal, after signal amplifier amplifies, is sampled into dynamics digital signal S1 by processor AD.
Preferably, in step (2), N point mean filter is carried out to dynamics digital signal S1 and eliminates sampling noise, together When remain the details of dynamic signal in dynamics digital signal S1, digital signal S2 is obtained after filtering.
Preferably, in step (4), auto-correlation function used in autocorrelation filter are as follows:
Preferably, in step (5), the current value of the current value of vibration interference signal N and A2, past value, future value are all There is strong correlation, can just indicate this relationship using Gaussian normal coefficient gass (n), and N value is three direction digital signals power And, weight q1, q2, q3 are variations again, and the weighting function of A2 and N value is q=a*x3+b*x2+c*x+d。
Beneficial effects of the present invention:
Acceleration transducer signals compensation method for thrombelastogram instrument of the invention is eliminated using N point mean filter Sample the interference of noise signal;Piezoelectric transducer technology is used simultaneously, analyzes vibration signal mathematical model, is eliminated due to vibrating band The vibration noise come, retains effective dynamic signal;Since the frequency and amplitude of vibration have periodicity and randomness, and have It imitates Signal averaging together, cannot be achieved the effect that under special circumstances by Digital Signal Processing completely, therefore Piezoelectric transducer feedback signal and vibration noise have the case where strong correlation, are inputted, are come by the feedback signal of piezoelectric transducer Compensation dynamic signal can reach better filter effect.
Detailed description of the invention
Fig. 1 is that the step process of the acceleration transducer signals compensation method for thrombelastogram instrument of the invention is illustrated Figure;
Fig. 2 is that the dynamics number of the acceleration transducer signals compensation method for thrombelastogram instrument of the invention is believed Number curve graph;
Fig. 3 is the filtered power of the acceleration transducer signals compensation method for thrombelastogram instrument of the invention Learn digital signal curve graph;
Fig. 4 is the filtered vibration of the acceleration transducer signals compensation method for thrombelastogram instrument of the invention Waveform diagram of the signal in X-direction;
Fig. 5 is the filtered vibration of the acceleration transducer signals compensation method for thrombelastogram instrument of the invention The waveform diagram of signal in the Y direction;
Fig. 6 is the filtered vibration of the acceleration transducer signals compensation method for thrombelastogram instrument of the invention Waveform diagram of the signal in Z-direction;
Fig. 7 is the elastic force envelope of the acceleration transducer signals compensation method for thrombelastogram instrument of the invention.
Specific embodiment
In order to it is clearer, completely illustrate technical solution of the present invention, the present invention is made with reference to the accompanying drawing further Explanation.
Referring to FIG. 1, the present invention proposes a kind of acceleration transducer signals compensation method for thrombelastogram instrument, packet Include following steps:
(1) dynamics digital signal S1 is obtained using dynamic signal sampling;
(2) dynamics digital signal S1 is subjected to mean filter, obtains digital signal S2;
(3) vibration is sampled into three directions (X-axis, Y-axis, Z axis) vibration digital signal A1-1, A1-2, A1-3;
(4) three direction vibration number word signal A1-1, A1-2, A1-3 become three direction digital signals by autocorrelation filter A2-1,A2-2,A2-3;
(5) digital signal S2 include effective dynamic signal S and vibration interference signal N, by three direction digital signal A2-1, A2-2, A2-3 calculate vibration interference signal N by formula Gaussian normal coefficient gass (n) conversion, then in digital signal S2 In filter out vibration interference signal N, extracted effective power signal S, output digit signals S3;
(6) digital signal S3 recognizes the stable maximum point and minimum point of effective impulse by algorithm of climbing;
(7) all maximum points are combined, generates elastic force figure coenvelope line, all minimum points are combined, generate elastic force Figure lower envelope line obtains elastic force figure G1;
(8) elastic force figure G1 is calculated, corresponding parametric results can be exported.
Preferably, in step (1), inducing probes immerse in blood, and the strength transfer of blood clotting and fibrinolytic is to induction Probe is transformed into analog electrical signal, after signal amplifier amplifies, is sampled into dynamics digital signal S1 by processor AD, such as schemes Shown in 2.
Preferably, in step (2), N point mean filter is carried out to dynamics digital signal S1 and eliminates sampling noise, together When remain the details of dynamic signal in dynamics digital signal S1, digital signal S2 is obtained after filtering, as shown in Figure 3.
In the present embodiment, wherein the value of N is selected according to AD sample frequency, mean filter using it is distinctive from Weighting algorithm is adapted to, with the thought of fuzzy mathematics, filter weights are optimized, not only inhibits noise but also is effectively maintained The details of dynamic signal observes digital signal S2, and compared to original digital signal S1, noise spot is eliminated.
In the present embodiment, vibration is changed journey analog electrical signal by piezoelectric transducer module, after hardware circuit amplifies, Three directions (X-axis, Y-axis, Z axis) vibration digital signal A1-1, A1-2, A1-3 are sampled by processor.
Preferably, in step (4), vibration digital signal A1 is often mingled with some random noises, and demand makes an uproar these Sound could use after filtering out, and auto-correlation algorithm can identify the vibration signal for identifying in random noise and having filtering, and the present invention uses Auto-correlation algorithm eliminates the random noise in A1, and the amplitude and frequency of signal also remain unchanged, three are obtained after auto-correlation computation Direction digital signal A2-1, A2-2, A2-3;Auto-correlation function used in autocorrelation filter are as follows:
Since most of random noise is=0 or so, when tending to infinity, random noise is equal to zero, etc. In A2, as shown in Fig. 4, Fig. 5, Fig. 6.
Preferably, in step (5), since digital signal S2 includes effective dynamic signal S and vibration interference signal N, It needs N and A2-1, A2-2, A2-3 to set up to contact and could filter out vibration interference signal N in digital signal S2, retain effective Dynamic signal S, and the current value of vibration interference signal N and the current value of A2, past value, future value have strong correlation, utilize Gaussian normal coefficient gass (n) can just indicate this relationship, and N value be three direction digital signal weights and, weight q1, Q2, q3 are variations, and the weighting function of A2 and N value is q=a*x3+b*x2+c*x+d。
N1 (t)=gass (0) * A2-1 (t-k) ...+gass (k) * A2-1 (t) ...+gass (2k) * A2-1 (t+k);
N2 (t)=gass (0) * A2-2 (t-k) ...+gass (k) * A2-2 (t) ...+gass (2k) * A2-2 (t+k);
N3 (t)=gass (0) * A2-3 (t-k) ...+gass (k) * A2-3 (t) ...+gass (2k) * A2-3 (t+k);
N (t)=q1 (t) * N1 (t)+q2 (t) * N2 (t)+q3 (t) * N3 (t).
N is calculated by formula conversion by three direction digital signal A2-1, A2-2, A2-3 above, digital signal S2 is risen Good compensation effect has been arrived, effective power signal S has been extracted, output digit signals S3 reaches the access of pulse recognition Condition.
In the present embodiment, the stable maximum point and minimum point of effective impulse is recognized by algorithm of climbing; All maximum points are combined, elastic force figure coenvelope line is generated, all minimum points are combined, generate elastic force figure lower envelope line, Elastic force figure G1 is obtained, as shown in Figure 7.
In the present embodiment, certain formula calculating is carried out to elastic force figure G1, all parametric results can be calculated, it can To find out, after the signal compensation of piezoelectric transducer, the anti-vibration interference of parameter is stronger.
Acceleration transducer signals compensation method for thrombelastogram instrument of the invention is eliminated using N point mean filter Sample the interference of noise signal;Piezoelectric transducer technology is used simultaneously, analyzes vibration signal mathematical model, is eliminated due to vibrating band The vibration noise come, retains effective dynamic signal;Since the frequency and amplitude of vibration have periodicity and randomness, and have It imitates Signal averaging together, cannot be achieved the effect that under special circumstances by Digital Signal Processing completely, therefore Piezoelectric transducer feedback signal and vibration noise have the case where strong correlation, are inputted, are come by the feedback signal of piezoelectric transducer Compensation dynamic signal can reach better filter effect.
Certainly, the present invention can also have other numerous embodiments, be based on present embodiment, those skilled in the art Obtained other embodiments under the premise of not making any creative work belong to the range that the present invention is protected.

Claims (5)

1. a kind of acceleration transducer signals compensation method for thrombelastogram instrument, which comprises the following steps:
(1) dynamics digital signal S1 is obtained using dynamic signal sampling;
(2) dynamics digital signal S1 is subjected to mean filter, obtains digital signal S2;
(3) vibration is sampled into three directions (X-axis, Y-axis, Z axis) vibration digital signal A1-1, A1-2, A1-3;
(4) three direction vibration number word signal A1-1, A1-2, A1-3 by autocorrelation filter become three direction digital signal A2-1, A2-2,A2-3;
(5) digital signal S2 includes effective dynamic signal S and vibration interference signal N, by three direction digital signals A2-1, A2- 2, A2-3 calculates vibration interference signal N by formula Gaussian normal coefficient gass (n) conversion, then filters in digital signal S2 Except vibration interference signal N, effective power signal S, output digit signals S3 have been extracted;
(6) digital signal S3 recognizes the stable maximum point and minimum point of effective impulse by algorithm of climbing;
(7) all maximum points are combined, generates elastic force figure coenvelope line, all minimum points are combined, generated under elastic force figure Envelope obtains elastic force figure G1;
(8) elastic force figure G1 is calculated, corresponding parametric results can be exported.
2. the acceleration transducer signals compensation method according to claim 1 for thrombelastogram instrument, feature exist In in step (1), inducing probes immerse in blood, and the strength transfer of blood clotting and fibrinolytic is transformed into mould to inducing probes Quasi- electric signal is sampled into dynamics digital signal S1 by processor AD after signal amplifier amplifies.
3. the acceleration transducer signals compensation method of thrombelastogram according to claim 1, which is characterized in that in step Suddenly in (2), N point mean filter is carried out to dynamics digital signal S1 and eliminates sampling noise, while remaining dynamics number The details of dynamic signal in signal S1, obtains digital signal S2 after filtering.
4. the acceleration transducer signals compensation method according to claim 1 for thrombelastogram instrument, feature exist In, in step (4), auto-correlation function used in autocorrelation filter are as follows:
5. the acceleration transducer signals compensation method according to claim 1 for thrombelastogram instrument, feature exist In in step (5), the current value and the current value of A2, past value, future value of vibration interference signal N has strong correlation, utilizes Gaussian normal coefficient gass (n) can just indicate this relationship, and N value be three direction digital signal weights and, weight q1, Q2, q3 are variations, and the weighting function of A2 and N value is q=a*x3+b*x2+c*x+d。
CN201811109023.0A 2018-09-21 2018-09-21 Acceleration sensor signal compensation method for thrombelastogram instrument Active CN109682958B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811109023.0A CN109682958B (en) 2018-09-21 2018-09-21 Acceleration sensor signal compensation method for thrombelastogram instrument

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811109023.0A CN109682958B (en) 2018-09-21 2018-09-21 Acceleration sensor signal compensation method for thrombelastogram instrument

Publications (2)

Publication Number Publication Date
CN109682958A true CN109682958A (en) 2019-04-26
CN109682958B CN109682958B (en) 2021-01-15

Family

ID=66185676

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811109023.0A Active CN109682958B (en) 2018-09-21 2018-09-21 Acceleration sensor signal compensation method for thrombelastogram instrument

Country Status (1)

Country Link
CN (1) CN109682958B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114684159A (en) * 2022-03-21 2022-07-01 潍柴动力股份有限公司 Vehicle mass estimation method and device, electronic equipment and storage medium

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0560364A1 (en) * 1992-03-12 1993-09-15 Honda Giken Kogyo Kabushiki Kaisha Vibration/noise control system for vehicles
US20070258083A1 (en) * 2006-04-11 2007-11-08 Optiscan Biomedical Corporation Noise reduction for analyte detection systems
CN200995920Y (en) * 2007-01-11 2007-12-26 中国矿业大学 Stiff cageway state inspector
CN101364052A (en) * 2008-10-08 2009-02-11 上海微电子装备有限公司 Active vibration damping system and forecast control method thereof
CN102620928A (en) * 2012-03-02 2012-08-01 燕山大学 Wind-power gear box fault diagnosis method based on wavelet medium-soft threshold and electronic-magnetic diaphragm (EMD)
CN104702244A (en) * 2013-12-05 2015-06-10 中国科学院深圳先进技术研究院 Adaptive filter for filtering power frequency interference in electromyography signal based on EEMD (Ensemble Empirical Mode Decomposition) algorithm
JP2016221092A (en) * 2015-06-02 2016-12-28 ソニー株式会社 Noise reduction processing circuit and method, and biological information processing device and method
CN106353776A (en) * 2016-09-09 2017-01-25 中国人民解放军国防科学技术大学 Frequency domain anti-interference system for measuring unbiased zero value under non-ideal communication channel and method thereof
US20170134057A1 (en) * 2015-11-06 2017-05-11 Samsung Electronics Co., Ltd. Method for processing signal and electronic device supporting the same
CN106970386A (en) * 2017-03-31 2017-07-21 西安电子科技大学 A kind of optimization method of RADOP beam sharpening
CN106997458A (en) * 2017-03-17 2017-08-01 中国人民解放军陆军航空兵研究所 A kind of equipment vibrating signal feature extracting method based on EEMD CWD
US9786263B2 (en) * 2016-01-13 2017-10-10 Alpine Electronics, Inc. Electronic apparatus and noise reduction method
CN108011854A (en) * 2017-12-14 2018-05-08 威胜信息技术股份有限公司 The sampling frequency deviation evaluation method of ofdm system
CN108332734A (en) * 2018-01-26 2018-07-27 珠海全志科技股份有限公司 The method for measuring three axis angular rates of micromechanics simple oscialltor three-axis gyroscope

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0560364A1 (en) * 1992-03-12 1993-09-15 Honda Giken Kogyo Kabushiki Kaisha Vibration/noise control system for vehicles
US20070258083A1 (en) * 2006-04-11 2007-11-08 Optiscan Biomedical Corporation Noise reduction for analyte detection systems
CN200995920Y (en) * 2007-01-11 2007-12-26 中国矿业大学 Stiff cageway state inspector
CN101364052A (en) * 2008-10-08 2009-02-11 上海微电子装备有限公司 Active vibration damping system and forecast control method thereof
CN102620928A (en) * 2012-03-02 2012-08-01 燕山大学 Wind-power gear box fault diagnosis method based on wavelet medium-soft threshold and electronic-magnetic diaphragm (EMD)
CN104702244A (en) * 2013-12-05 2015-06-10 中国科学院深圳先进技术研究院 Adaptive filter for filtering power frequency interference in electromyography signal based on EEMD (Ensemble Empirical Mode Decomposition) algorithm
JP2016221092A (en) * 2015-06-02 2016-12-28 ソニー株式会社 Noise reduction processing circuit and method, and biological information processing device and method
US20170134057A1 (en) * 2015-11-06 2017-05-11 Samsung Electronics Co., Ltd. Method for processing signal and electronic device supporting the same
US9786263B2 (en) * 2016-01-13 2017-10-10 Alpine Electronics, Inc. Electronic apparatus and noise reduction method
CN106353776A (en) * 2016-09-09 2017-01-25 中国人民解放军国防科学技术大学 Frequency domain anti-interference system for measuring unbiased zero value under non-ideal communication channel and method thereof
CN106997458A (en) * 2017-03-17 2017-08-01 中国人民解放军陆军航空兵研究所 A kind of equipment vibrating signal feature extracting method based on EEMD CWD
CN106970386A (en) * 2017-03-31 2017-07-21 西安电子科技大学 A kind of optimization method of RADOP beam sharpening
CN108011854A (en) * 2017-12-14 2018-05-08 威胜信息技术股份有限公司 The sampling frequency deviation evaluation method of ofdm system
CN108332734A (en) * 2018-01-26 2018-07-27 珠海全志科技股份有限公司 The method for measuring three axis angular rates of micromechanics simple oscialltor three-axis gyroscope

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
BS阿廖申SG巴热诺夫: "《打飞机飞行控制律的原理及应用》", 31 December 2016, 上海交通大学出版社 *
GIOVANNI BOSCHETTI ET AL: "Model-based dynamic compensation of loadcellresponse in weighing machines affected by environmental vibrations", 《MECHANICAL SYSTEM SAND SIGNAL PROCESSING》 *
M. J. MATHIE: "Detection of daily physical activities using a triaxial accelerometer", 《MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING》 *
桂志国等: "《数字信号处理原理及应用》", 30 June 2016, 国防工业出版社 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114684159A (en) * 2022-03-21 2022-07-01 潍柴动力股份有限公司 Vehicle mass estimation method and device, electronic equipment and storage medium

Also Published As

Publication number Publication date
CN109682958B (en) 2021-01-15

Similar Documents

Publication Publication Date Title
TWI416153B (en) Test system, test signal auxiliary device, and test signal generation method thereof
WO2017218818A2 (en) Method for eliminating noise in signal data from a piezoelectric device and detecting stenosis
JP2007143623A (en) Biological information measuring apparatus
US11344206B2 (en) Electronic device including earphone, and method of controlling the electronic device
CN109684908B (en) Signal filtering method for thromboelastography
JP4952162B2 (en) Data processing apparatus, data processing method, and data processing program
JP6056389B2 (en) Heart rate estimation device, heart rate estimation method and program
JP2002065674A (en) Ultrasonic diagnostic device for measuring blood flow rate and its use
CN109682958A (en) A kind of acceleration transducer signals compensation method for thrombelastogram instrument
EP2120230A1 (en) Active noise controller
WO2016207672A2 (en) Method and device for determining fetal heart sounds by passive sensing and system for examining fetal heart function
CN105323677A (en) Audio signal processing circuit and electronic device using same
JP5077847B2 (en) Reverberation time estimation apparatus and reverberation time estimation method
CN113158907A (en) Weak ship radiation characteristic signal detection method based on wavelet and chaos theory
CN104274165A (en) Determination device and determination method
CN106098080B (en) The determination method and device of speech discrimination threshold under a kind of noise circumstance
JP3687135B2 (en) Sound vibration evaluation device
CN112562701B (en) Heart sound signal double-channel self-adaptive noise reduction algorithm, device, medium and equipment
CN111462757B (en) Voice signal-based data processing method, device, terminal and storage medium
WO2020090763A1 (en) Processing device, system, processing method, and program
Zhang et al. Noninvasive detection of mechanical prosthetic heart valve disorder
Lewis et al. The cancellation, reinforcement and measurement of subjective tones
Cao Acoustical measurement and fan fault diagnosis system based on LabVIEW
CN111345806B (en) Cardiac cycle detection method and device
JP7452844B2 (en) acoustic signal processing device

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