CN106510625A - Pain feedback analyzing and calculating method and system - Google Patents
Pain feedback analyzing and calculating method and system Download PDFInfo
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- CN106510625A CN106510625A CN201610956185.2A CN201610956185A CN106510625A CN 106510625 A CN106510625 A CN 106510625A CN 201610956185 A CN201610956185 A CN 201610956185A CN 106510625 A CN106510625 A CN 106510625A
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4824—Touch or pain perception evaluation
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Abstract
The invention discloses a pain feedback analyzing and calculating method and a pain feedback analyzing and calculating system. The method comprises the following steps: establishing a corresponding electromyographic peak and pain degree correlation model in accordance with a measured object; and in accordance with the electromyographic peak and pain degree correlation model, detecting an electromyographic signal of the measured object in real time, so as to obtain a corresponding pain degree. The system comprises a modeling unit and a detecting unit. According to the method and the system provided by the invention, by establishing the electromyographic peak and pain degree correlation model and indirectly reflecting the pain degree of a patient by virtue of an electromyographic peak on the basis of the model, real-time monitoring of pain is achieved, so as to bring about benefits for doctors and afterloading technicians to clearly master the pain situation of the measured object and to offer accurate evaluation timely. The pain feedback analyzing and calculating method and the pain feedback analyzing and calculating system provided by the invention can be widely applied to medicine.
Description
Technical field
The present invention relates to medical analysis technical field, more particularly to a kind of pain feedback analysiss computational methods and system.
Background technology
At present, the method that the radiotherapy of cervical cancer mainly coordinates extracorporeal irradiation using intra cavitary irradiation, intra cavitary irradiation are adopted
Apparatus for wave-energy source is put in vagina and uterine cavity, in operation before treating every time, patient by high dose rate afterloading technique by doctor
Pain to some extent can be felt.Particularly when gross tumor volume is larger or cancerous protuberance ulcer is deeper, palace mouth often shows unclear, if
The perforation of uterus may be caused accidentally when uterine cavity is visited, now patient's lower abdomen can produce severe pain.For stricture of vagina or elasticity
Gastrointestinal disease patient, in operation, vagina container is excessive or action is all likely to result in roughly vaginal laceration, makes patient feel pain.This
Outward, in the treatment it can also happen that the complication such as infection, radiation rectitises, vaginitiss, in these cases, when patient occurs
All should not stopped treatment immediately during tolerable pain.But pain is all to state to judge by the master of patient at present, and
Patient does not know what degree is normal pain over the course for the treatment of, and what degree is abnormal pain, may be produced mixed
Confuse, cause have impact on the judgement of doctor.
The content of the invention
In order to solve above-mentioned technical problem, it is an object of the invention to provide a kind of energy real-time detection pain, and quantitative analyses
A kind of pain feedback analysiss computational methods and system.
The technical solution used in the present invention is：
A kind of pain feedback analysiss computational methods, comprise the following steps：
Corresponding myoelectricity peak value and pain degree correlation models are set up according to measurement object；
According to myoelectricity peak value and pain degree correlation models, the electromyographic signal of real-time detection measurement object, and then draw correspondence
Pain degree.
Used as a kind of further improvement of described pain feedback analysiss computational methods, described sets up according to measurement object
Corresponding myoelectricity peak value and pain degree correlation models, the step for specifically include：
Current value and the corresponding magnitude of current of multistage pain that the minimum faradic current of detection measurement object stimulates, and calculate multistage pain
Bitterly corresponding pain degree；
The multistage pain correspondence of real-time monitoring measurement object produces electromyographic signal, and then obtains its myoelectricity peak value；
According to the mutual corresponding myoelectricity peak value and pain degree that obtain, myoelectricity peak value and pain degree correlation models are set up.
As a kind of further improvement of described pain feedback analysiss computational methods, the computational methods of the pain degree
For：
PD=（（PEC-CPT）/ CPT）× 100%；
Wherein, PD represents pain degree, and PEC represents the corresponding magnitude of current of pain, and CPT represents the electric current that minimum faradic current stimulates
Value.
Another technical scheme of the present invention is：
A kind of pain feedback analysiss computing system, including the quantitative stimulation instrument of the pain sensation, surface electromyography instrument and analysis main frame, the analysis
Main frame includes：
Modeling unit, for setting up corresponding myoelectricity peak value and pain degree correlation models according to measurement object；
Detector unit, for according to myoelectricity peak value and pain degree correlation models, the electromyographic signal of real-time detection measurement object,
And then draw corresponding pain degree.
Used as a kind of further improvement of described pain feedback analysiss computing system, described modeling unit includes：
Pain degree computing unit, it is corresponding with multistage pain for detecting the current value that the minimum faradic current of measurement object stimulates
The magnitude of current, and calculate the corresponding pain degree of multistage pain；
Electromyographic signal monitoring means, the multistage pain correspondence for real-time monitoring measurement object produce electromyographic signal, and then obtain
Its myoelectricity peak value；
Model sets up unit, for according to the mutual corresponding myoelectricity peak value and pain degree for obtaining, setting up myoelectricity peak value and pain
Pain degree correlation models.
As a kind of further improvement of described pain feedback analysiss computing system, the computational methods of the pain degree
For：
PD=（（PEC-CPT）/ CPT）× 100%；
Wherein, PD represents pain degree, and PEC represents the corresponding magnitude of current of pain, and CPT represents the electric current that minimum faradic current stimulates
Value.
The invention has the beneficial effects as follows：
A kind of pain feedback analysiss computational methods of the present invention and system by setting up myoelectricity peak value and pain degree correlation models,
Using this model by the pain degree of patient with myoelectricity peak value reflecting indirectly, so as to realize the real-time monitoring of pain, be conducive to
Doctor and rear dress technician have a clear understanding of the pain condition of measurement object, to give accurately assessment in time.
Description of the drawings
Below in conjunction with the accompanying drawings the specific embodiment of the present invention is described further：
The step of Fig. 1 is a kind of pain feedback analysiss computational methods of the invention flow chart；
The step of Fig. 2 is modeling process in a kind of pain feedback analysiss computational methods of the invention flow chart；
Fig. 3 is a kind of block diagram of pain feedback analysiss computing system of the invention.
Specific embodiment
With reference to Fig. 1, a kind of pain feedback analysiss computational methods are comprised the following steps：
Corresponding myoelectricity peak value and pain degree correlation models are set up according to measurement object；
According to myoelectricity peak value and pain degree correlation models, the electromyographic signal of real-time detection measurement object, and then draw correspondence
Pain degree.
With reference to Fig. 2, it is further used as preferred embodiment, described sets up corresponding myoelectricity peak value according to measurement object
With pain degree correlation models, the step for specifically include：
Current value and the corresponding magnitude of current of multistage pain that the minimum faradic current of detection measurement object stimulates, and calculate multistage pain
Bitterly corresponding pain degree；
The multistage pain correspondence of real-time monitoring measurement object produces electromyographic signal, and then obtains its myoelectricity peak value；
According to the mutual corresponding myoelectricity peak value and pain degree that obtain, myoelectricity peak value and pain degree correlation models are set up.
It is further used as preferred embodiment, the computational methods of the pain degree are：
PD=（（PEC-CPT）/ CPT）× 100%；
Wherein, PD represents pain degree, and PEC represents the corresponding magnitude of current of pain, and CPT represents the electric current that minimum faradic current stimulates
Value.
With reference to Fig. 3, a kind of pain feedback analysiss computing system of the invention, including the quantitative stimulation instrument of the pain sensation, surface electromyography instrument
With analysis main frame, the analysis main frame includes：
Modeling unit, for setting up corresponding myoelectricity peak value and pain degree correlation models according to measurement object；
Detector unit, for according to myoelectricity peak value and pain degree correlation models, the electromyographic signal of real-time detection measurement object,
And then draw corresponding pain degree.
It is further used as preferred embodiment, described modeling unit includes：
Pain degree computing unit, it is corresponding with multistage pain for detecting the current value that the minimum faradic current of measurement object stimulates
The magnitude of current, and calculate the corresponding pain degree of multistage pain；
Electromyographic signal monitoring means, the multistage pain correspondence for real-time monitoring measurement object produce electromyographic signal, and then obtain
Its myoelectricity peak value；
Model sets up unit, for according to the mutual corresponding myoelectricity peak value and pain degree for obtaining, setting up myoelectricity peak value and pain
Pain degree correlation models.
It is further used as preferred embodiment, the computational methods of the pain degree are：
PD=（（PEC-CPT）/ CPT）× 100%；
Wherein, PD represents pain degree, and PEC represents the corresponding magnitude of current of pain, and CPT represents the electric current that minimum faradic current stimulates
Value.
In the specific embodiment of the invention, the electrode slice connected with the quantitative stimulation instrument of the pain sensation is attached to measurement object by staff
Right forearm ulnar side, while measurement object left hand pins sensing button, detects the electric current that the minimum faradic current of measurement object stimulates
Value and the corresponding magnitude of current of 0-10 level pain, every time measurement are averaged for 3 times, make pain degree quantitatively turn to pain degree.
In detection, the surface recording electrode of surface electromyography instrument is placed in the abdominal part of measurement object, when measurement object is experienced
During to the pain stimulation produced by the quantitative stimulation instrument of the pain sensation, muscle can shrink, and can produce corresponding on surface electromyography instrument
Electromyographic signal, the present invention reflect musculation state in real time, with no damage using the peak value in electromyographic signal time-domain analyses, its
The change of numerical value is linearly related to muscular contraction force size, and what the contractility size of muscle and measurement object were experienced
Pain linear correlation, therefore the linear dependence model of myoelectricity peak value and pain degree can be set up, using myoelectricity peak value come between
It is reversed to reflect pain degree.
Before the treatment, doctor has some pain to measurement object in exhorting therapeutic process, but can typically tolerate, if
There is the intolerable indoor technician of operation that will pick me, suspend treatment.But during actual therapeutic, it is right to measure
As possibly correctly judging not can tolerate pain, it is not known that whether need to illustrate technician, consequently, it is possible to causing some surprisingly to send out
It is raw.Therefore, the present invention proposes that measurement object is carried out in therapeutic process in treatment interior, and abdominal part passes through surface recording electrode and body surface
Myoelectric apparatus are connected, indoor in treatment, if measurement object feels that pain abdominal muscleses can shrink, and show on electromyogram
Illustrate and.Pass through the correlation model of set up myoelectricity peak value and pain degree, myoelectricity peak value is converted into into measurement object and is felt
The pain degree being subject to, and show on the display for be positioned over operating room, operate indoor technician observe prison always
Visual organ and pain degree display screen, once finding that pain value exceedes threshold value, all should inquire measurement object by transmitter receiver immediately
State, it is necessary to need stop treatment.Measurement object safety over the course for the treatment of can be just better ensured that so.
From the foregoing it can be that a kind of pain feedback analysiss computational methods of the invention and system by set up myoelectricity peak value with
Pain degree correlation models, using this model by the pain degree of patient with myoelectricity peak value reflecting indirectly, so as to realize pain
The real-time monitoring of pain, is conducive to doctor and rear dress technician to have a clear understanding of the pain condition of measurement object, to give in time accurately
Assessment.
It is more than that the preferable enforcement to the present invention is illustrated, but the invention is not limited to the enforcement
Example, those of ordinary skill in the art on the premise of without prejudice to spirit of the invention can also be made a variety of equivalent variations or be replaced
Change, the deformation or replacement of these equivalents are all contained in the application claim limited range.
Claims (6)
1. a kind of pain feedback analysiss computational methods, it is characterised in that comprise the following steps：
Corresponding myoelectricity peak value and pain degree correlation models are set up according to measurement object；
According to myoelectricity peak value and pain degree correlation models, the electromyographic signal of real-time detection measurement object, and then draw correspondence
Pain degree.
2. a kind of pain feedback analysiss computational methods according to claim 1, it is characterised in that：Described is right according to measuring
As setting up corresponding myoelectricity peak value and pain degree correlation models, the step for specifically include：
Current value and the corresponding magnitude of current of multistage pain that the minimum faradic current of detection measurement object stimulates, and calculate multistage pain
Bitterly corresponding pain degree；
The multistage pain correspondence of real-time monitoring measurement object produces electromyographic signal, and then obtains its myoelectricity peak value；
According to the mutual corresponding myoelectricity peak value and pain degree that obtain, myoelectricity peak value and pain degree correlation models are set up.
3. a kind of pain feedback analysiss computational methods according to claim 2, it is characterised in that：The meter of the pain degree
Calculation method is：
PD=（（PEC-CPT）/ CPT）× 100%；
Wherein, PD represents pain degree, and PEC represents the corresponding magnitude of current of pain, and CPT represents the electric current that minimum faradic current stimulates
Value.
4. a kind of pain feedback analysiss computing system, it is characterised in that：Including the quantitative stimulation instrument of the pain sensation, surface electromyography instrument and analysis
Main frame, the analysis main frame include：
Modeling unit, for setting up corresponding myoelectricity peak value and pain degree correlation models according to measurement object；
Detector unit, for according to myoelectricity peak value and pain degree correlation models, the electromyographic signal of real-time detection measurement object,
And then draw corresponding pain degree.
5. a kind of pain feedback analysiss computing system according to claim 4, it is characterised in that：Described modeling unit bag
Include：
Pain degree computing unit, it is corresponding with multistage pain for detecting the current value that the minimum faradic current of measurement object stimulates
The magnitude of current, and calculate the corresponding pain degree of multistage pain；
Electromyographic signal monitoring means, the multistage pain correspondence for real-time monitoring measurement object produce electromyographic signal, and then obtain
Its myoelectricity peak value；
Model sets up unit, for according to the mutual corresponding myoelectricity peak value and pain degree for obtaining, setting up myoelectricity peak value and pain
Pain degree correlation models.
6. a kind of pain feedback analysiss computing system according to claim 5, it is characterised in that：The meter of the pain degree
Calculation method is：
PD=（（PEC-CPT）/ CPT）× 100%；
Wherein, PD represents pain degree, and PEC represents the corresponding magnitude of current of pain, and CPT represents the electric current that minimum faradic current stimulates
Value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610956185.2A CN106510625A (en) | 2016-10-27 | 2016-10-27 | Pain feedback analyzing and calculating method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610956185.2A CN106510625A (en) | 2016-10-27 | 2016-10-27 | Pain feedback analyzing and calculating method and system |
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| CN106510625A true CN106510625A (en) | 2017-03-22 |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6018675A (en) * | 1998-05-22 | 2000-01-25 | The Research Foundation Of State University Of New York | Assembly and method for objectively measuring pain in a subject |
| CN101431944A (en) * | 2007-03-06 | 2009-05-13 | 株式会社长地 | Pain measuring device and pain measuring device control method |
| WO2009063463A2 (en) * | 2007-11-14 | 2009-05-22 | Medasense Biometrics Ltd | Pain monitoring using multidimensional analysis of physiological signals |
| US8032210B2 (en) * | 2005-10-06 | 2011-10-04 | Spinematrix, Inc. | EMG diagnostic system and method |
| CN103405225A (en) * | 2013-08-28 | 2013-11-27 | 深圳先进技术研究院 | Method, apparatus and device for obtaining pain feeling evaluation indexes |
| US20140276188A1 (en) * | 2013-03-14 | 2014-09-18 | Accendowave Inc. | Systems, methods and devices for assessing and treating pain, discomfort and anxiety |
| CN104523271A (en) * | 2014-12-30 | 2015-04-22 | 华中科技大学 | Myoelectricity pain measurement method and device for clinical use |
-
2016
- 2016-10-27 CN CN201610956185.2A patent/CN106510625A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6018675A (en) * | 1998-05-22 | 2000-01-25 | The Research Foundation Of State University Of New York | Assembly and method for objectively measuring pain in a subject |
| US8032210B2 (en) * | 2005-10-06 | 2011-10-04 | Spinematrix, Inc. | EMG diagnostic system and method |
| CN101431944A (en) * | 2007-03-06 | 2009-05-13 | 株式会社长地 | Pain measuring device and pain measuring device control method |
| WO2009063463A2 (en) * | 2007-11-14 | 2009-05-22 | Medasense Biometrics Ltd | Pain monitoring using multidimensional analysis of physiological signals |
| US20140276188A1 (en) * | 2013-03-14 | 2014-09-18 | Accendowave Inc. | Systems, methods and devices for assessing and treating pain, discomfort and anxiety |
| CN103405225A (en) * | 2013-08-28 | 2013-11-27 | 深圳先进技术研究院 | Method, apparatus and device for obtaining pain feeling evaluation indexes |
| CN104523271A (en) * | 2014-12-30 | 2015-04-22 | 华中科技大学 | Myoelectricity pain measurement method and device for clinical use |
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Application publication date: 20170322 |