CN104523295A - System and method for detecting a muscle fatigue process through ultrasonic image entropy features - Google Patents
System and method for detecting a muscle fatigue process through ultrasonic image entropy features Download PDFInfo
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- CN104523295A CN104523295A CN201410350080.3A CN201410350080A CN104523295A CN 104523295 A CN104523295 A CN 104523295A CN 201410350080 A CN201410350080 A CN 201410350080A CN 104523295 A CN104523295 A CN 104523295A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
- A61B8/0833—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving detecting or locating foreign bodies or organic structures
- A61B8/085—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving detecting or locating foreign bodies or organic structures for locating body or organic structures, e.g. tumours, calculi, blood vessels, nodules
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
Abstract
The invention provides a system and method for detecting a muscle fatigue process through ultrasonic image entropy features. An ultrasonic transducer is aligned with a target muscle tissue area; constant force is applied to target muscle tissues through a force application unit; the stress process of detected muscle is recorded according to the time sequence; the muscle fiber image entropy textural features are estimated according to B-type ultrasonic images in the muscle fiber direction; according to the principle that muscle fibers are increased in motion along with the fatigue degree, the sectional areas of the muscle fibers are increased in a positively-correlated manner, the muscle overall ordering increase of the overall muscle fibers is formed, and therefore muscle ultrasonic image entropies reflecting the muscle fiber ultrasonic features are decreased in the positive correlation manner, an image entropy threshold value is set to judge the target muscle fatigue degree and process. By means of the system and method, the muscle tissue ultrasonic image entropy features are combined with the muscle tissue fatigue process; a damage-free and intervention-free muscle tissue fatigue process ultrasonic image entropy detection system is designed; and the muscle fatigue process is detected in a real-time, effective and damage-free manner.
Description
Technical field
The present invention relates to a kind of method detecting muscle fatigue process, particularly a kind of system and method utilizing ultrasonoscopy entropy Characteristics Detection muscle fatigue process.
Background technology
Muscle fatigue refers to that muscle is through contracts last after a while or repeatedly after contractile motion, can not continue to keep a kind of phenomenon of motion required or desired muscle tone and contraction.Muscle fatigue often occurs in our daily life, when there is a great strain on the muscles, likely causes muscular strain.If in motor process muscle fatigue to a certain extent time, still continue motion, very easily cause muscle or tendon injury.Muscle fatigue is dealt with improperly, can affect daily life, particularly sports training.The research of muscle fatigue characteristic has important effect at rehabilitation medicine, medicine in field of sports medicine.
At present, the method detecting muscle fatigue process mainly contains: implanted sensor, radioactive label and surface electromyogram signal.Implanted sensor method, the physical size of implanting device has certain invasive to experimenter on the one hand, and implant surgery risk is higher.On the other hand, these devices repeatedly can not be implanted and be detained in vivo with the long period.Be not suitable for the change that the tendon power of several hours is longer than at longitudinal study interval.Although implant the change that Radiolabelling method comparatively precisely can reflect tendon power, but still need by surgical operation implantable marker.Like this, the normal function of tendon subject to damage in the radiolabeled process of implantation in body.Electromyogram is an important tool of research muscle fatigue characteristic.But surface electromyogram signal belongs to faint bioelectrical signals, the influence factor of certainty of measurement is a lot.Such as, if remote measurement myoelectric apparatus, the radio wave of spatial transmission is the distinct issues the most affecting electromyographic signal precision.When myoelectricity is measured, a lot of radio interference may be there is in surrounding, cause electromyographic signal distortion to a certain extent.In addition, stratum corneum lipids and skin temperature also all can have influence on the certainty of measurement of myoelectricity.Sebum is thicker, and resistance is larger.The stratum corneum lipids of different experimenter is different, and outputting to skin surface to myoelectricity has very large impact.The skin temperature of experimenter is also very large on the impact of electromyographic signal, research shows that the temperature of experimenter's muscle surface raises, the amplitude of electromyographic signal reduces, etc. these factors all make faint electromyographic signal easily be submerged in the middle of various noise, thus need the process of the various elaborate in later stage to research and analyse further.
Summary of the invention
The object of the present invention is to provide a kind of system and method in real time, nondestructively utilizing ultrasonoscopy entropy Characteristics Detection muscle fatigue process.
For achieving the above object, the present invention by the following technical solutions:
A kind of method utilizing ultrasonoscopy entropy Characteristics Detection muscle fatigue process, by the target muscles applying constant force of forcing unit to detected person, in chronological order in the detected muscle loading process of record, along the Type B ultrasonoscopy in meat fiber direction, estimate the textural characteristics of meat fiber image entropy; According to muscle fiber at the volley with the increase of degree of fatigue, the positively related increase of its sectional area, the ordering that whole muscle fiber forms muscle entirety increases, the principle of the entropy positive correlation minimizing of the muscle ultrasonoscopy of reflection muscle fiber ultrasonic characteristic, the degree of setting image entropy threshold decision target muscles fatigue and process, entropy is less, muscle fatigue degree is larger, image entropy fall exceedes the threshold value of setting, then muscle jitter, and degree of fatigue reaches maximum.
Estimate that the method for meat fiber image entropy is, select the space characteristics amount of neighborhood gray average as intensity profile of image, with image pixel gray level common composition characteristic two tuple, be designated as (i, j), wherein i represents the gray value (0<=i<=Lmax) of pixel, and j represents neighborhood gray value (0<=j<=Mmax), then have:
P
ij＝f(i,j)/N
2(1)
Formula (1) can represent the comprehensive characteristics of gray value on certain location of pixels and surrounding pixel grey value profile, wherein the frequency that occurs for feature binary (i, j) of f (i, j), and N is the yardstick of image; The two-dimensional entropy of image is defined as:
Between ultrasonic transducer and subjects skin, fill couplant, described ultrasonic probe is linear array probe, and its mid frequency is 7.5MHz.
By B ultrasonic system log (SYSLOG), record the ultrasonoscopy of a width target muscle tissue at set intervals, terminate to measure until target muscle tissue starts shake.
Utilize a system for ultrasonoscopy entropy Characteristics Detection muscle fatigue process, comprise ultrasonic transducer, B ultrasonic system, computer control and graphics processing unit, forcing unit and force control unit, B ultrasonic system, force control unit control with computer respectively and graphics processing unit is connected, and force control unit connects forcing unit, ultrasonic signal is sent to target muscle tissue by ultrasonic transducer, simultaneously, constant power is applied to experimenter's target muscles by force control unit controls forcing unit, and by maximum shrinkage force normalization, namely maximum moment is recorded, then 20% is got, 30%, the different weight percentage maximum moment such as 40% is as the moment of test, delivered to computer through ultrasonic probe to be controlled and graphics processing unit process obtains the textural characteristics of meat fiber image entropy by the meat fiber figure of B ultrasonic system log (SYSLOG) target muscles, by the process of the image entropy threshold decision target muscles muscle fatigue of delimitation.
Described forcing unit is constant speed muscle strength test device, experimenter regulates size and the time of force by the control line of force control unit, force size obtain by after maximum shrinkage force normalization, the force time from measure target muscle tissue start shake terminate.
Inventive detects the method and system of muscle fatigue process, by the fibrogram of B ultrasonic system log (SYSLOG) muscle, according to muscle fiber at the volley with the increase of degree of fatigue, the positively related increase of its sectional area, the ordering of the muscle entirety that whole muscle fiber is formed increases, the principle of the entropy meeting positive correlation minimizing of the muscle ultrasonoscopy of muscle fiber ultrasonic characteristic, detect the process of muscle fatigue, muscular tissue ultrasonoscopy entropy feature is combined with tear down muscle tissue process, quantification for muscle fatigue process detects and provides feasible technical scheme, design a set of not damaged, without the tear down muscle tissue process ultrasonoscopy entropy detection system got involved, can be real-time, effectively, the process of harmless detection muscle fatigue.
Accompanying drawing explanation
Fig. 1 is system block diagram of the present invention;
Fig. 2 is ultrasonoscopy entropy (20%MVC, t are image acquisition time, and H is the entropy of image) in experimenter 1 biceps brachii m. fatigue process in example of the present invention;
Fig. 3 is the ultrasonoscopy entropy that in example of the present invention, 1 detected person applies different moment.
Detailed description of the invention
Below in conjunction with accompanying drawing the present invention done and more at large describe.
As shown in Figure 1, the present invention utilizes the system of ultrasonoscopy entropy Characteristics Detection muscle fatigue process, comprises ultrasonic transducer, B ultrasonic system, computer control and graphics processing unit, forcing unit and force control unit; B ultrasonic system, force control unit control with computer respectively and graphics processing unit is connected, and force control unit connects forcing unit.
Utilize the method for ultrasonoscopy entropy Characteristics Detection muscle fatigue process, specific as follows:
Fixing: the position of fixing experimenter's target muscle tissue (for the tired process of right biceps brachii m.) and ultrasonic transducer, ultrasonic transducer is accurately aimed at the mark musculature area, between transducer and skin, fills appropriate couplant to reduce interference.
Force: utilize constant speed muscle strength test device, experimenter regulates size and the time of force by the control line of force control unit, applies constant power by forcing unit.Force size obtain by after maximum shrinkage force normalization, the force time from measure target muscle tissue start shake terminate.
Image acquisition: the ultrasonoscopy recording a width target muscle tissue at set intervals, terminates to measure until target muscle tissue starts shake.
Image procossing: image entropy reflects average information in image is a kind of statistical form of characteristic quantity.The one dimension entropy of image can only reflect the aggregation characteristic that gradation of image distributes, but can not the space characteristics of Description Image intensity profile, so introduce the two-dimensional entropy that can reflect the space characteristics amount that gray space distributes.
The concrete grammar calculating meat fiber two-dimensional image entropy is:
Select the space characteristics amount of neighborhood gray average as intensity profile of image, with image pixel gray level common composition characteristic two tuple, be designated as (i, j), wherein i represents the gray value (0<=i<=Lmax) of pixel, j represents neighborhood gray value (0<=j<=Mmax), then have:
P
ij＝f(i,j)/N
2(1)
Formula (1) can represent the comprehensive characteristics of gray value on certain location of pixels and surrounding pixel grey value profile, wherein the frequency that occurs for feature binary (i, j) of f (i, j), and N is the yardstick of image.The two-dimensional entropy of image is defined as:
Sarcomere is the ultimate unit of muscle contraction, is made up of thick myofilament, thin myofilament and the huge albumen of flesh etc.When not having external force, sarcomere is relaxed state, and the huge albumen of flesh is in height folded state, and when muscle is stretched, the thick myofilament of sarcostyle and thin myofilament relative sliding, the huge albumen of flesh extends gradually, can analogize to a spring.Along with continuing of muscle fatigue, muscle easily lacks energy and is in unactivated state, muscle is in order to maintain constant force, unit of more doing more physical exercises will be raised participate in shrinking with positive energy exchange to maintain constant force, originally the muscle fiber of lax shape, is activated and participates in shrinking under moment loading, so along with the increase of degree of fatigue, muscular energy be lost in increase, the unit that more does more physical exercises will be raised and carry out shrinking and energy exchange.Be in the huge albumen of flesh of height folded state, be stretched gradually under moment loading, arrangement ordering.
From the angle of entropy characteristic, muscle fiber is at the volley with the increase of degree of fatigue, its sectional area is also positively related increase, and the ordering of the muscle entirety that whole muscle fiber is formed increases, then reflect that the entropy of the muscle ultrasonoscopy of muscle fiber ultrasonic characteristic will reduce in positive correlation.Utilize computer control unit to carry out routine processes, obtain the textural characteristics of meat fiber image entropy, judge muscle fatigue process by the threshold value of delimiting image entropy.
The present invention can control the power transmitted, as long as the requirement of the peak power met in ultrasound detection process and average acoustical power secure threshold, just can detect target muscle tissue in real time, effectively, with no damage, thus accurately evaluate muscle fatigue process.
Muscular tissue ultrasonoscopy entropy feature combines with tear down muscle tissue process by the present invention first, and design a set of tear down muscle tissue process ultrasonoscopy entropy detection system, propose a set of real-time, effective, harmless muscle fatigue process detection technical scheme.
Ultrasonoscopy entropy below by way of biceps brachii m. motor process detects and is further described the present invention:
For reducing the body constitution difference of Different Individual, first we determine maximum random contraction (the Maximal Voluntary Contraction that the biceps brachii m. of experimenter produces on arm, MVC) moment, and it is normalized, analyze the stressing conditions of muscle.
Allow the biceps brachii m. of experimenter do isometric contraction, complete 20%MVC successively, 30%MVC, the total Test of 40%MVC, 50%MVC is measured, and often organizes measurement and averages for three times, 10 minutes, each measurement interval, often organize measurement complete after experimenter have a rest within 1 hour, enter next group measure.Record experimenter's muscle ultrasonoscopy successively, obtain ultrasonoscopy entropy through process.The dependency of myofibrillar arrayed feature and muscle fatigue process when research biceps brachii m. ultrasonoscopy entropy describes muscle fatigue.
The part B ultrasonic sectional drawing of experiment is shown in Fig. 2, and a detected person of random choose applies the measurement result of different moment ultrasonoscopy entropy as shown in Figure 3.(in Fig. 3, I-shaped wire represents by the straight line of least square fitting and the error of actual measurement data)
As can be seen from Figure 3, ultrasonoscopy entropy entirety is all on a declining curve, and same experimenter's descending slope is almost identical.Ultrasonoscopy entropy slope represents the speed that ultrasonoscopy entropy reduces, and for same experimenter, its muscle property is certain, and the moment that ultrasonoscopy entropy descending slope and experimenter apply has nothing to do, and depends primarily on its muscle property.When muscle applies constant moment of force, its ultrasonoscopy texture tends towards stability proper alignment, and therefore its ultrasonoscopy entropy linearly reduces.
Claims (6)
1. one kind utilizes the method for ultrasonoscopy entropy Characteristics Detection muscle fatigue process, it is characterized in that: by the target muscles applying constant force of forcing unit to detected person, in chronological order in the detected muscle loading process of record, along the Type B ultrasonoscopy in meat fiber direction, estimate the textural characteristics of meat fiber image entropy; According to muscle fiber at the volley with the increase of degree of fatigue, the positively related increase of its sectional area, the ordering that whole muscle fiber forms muscle entirety increases, the principle of the entropy positive correlation minimizing of the muscle ultrasonoscopy of reflection muscle fiber ultrasonic characteristic, the degree of setting image entropy threshold decision target muscles fatigue and process, entropy is less, muscle fatigue degree is larger, image entropy fall exceedes the threshold value of setting, then muscle jitter, and degree of fatigue reaches maximum.
2. the method utilizing ultrasonoscopy entropy Characteristics Detection muscle fatigue process according to claim 1, it is characterized in that: estimate that the method for meat fiber image entropy is, select the space characteristics amount of neighborhood gray average as intensity profile of image, with image pixel gray level common composition characteristic two tuple, be designated as (i, j), wherein i represents the gray value (0<=i<=Lmax) of pixel, j represents neighborhood gray value (0<=j<=Mmax), then have:
P
ij＝f(i,j)/N
2(1)
Formula (1) can represent the comprehensive characteristics of gray value on certain location of pixels and surrounding pixel grey value profile, wherein the frequency that occurs for feature binary (i, j) of f (i, j), and N is the yardstick of image; The two-dimensional entropy of image is defined as:
。
3. the method utilizing ultrasonoscopy entropy Characteristics Detection muscle fatigue process according to claim 1 and 2, it is characterized in that: between ultrasonic transducer and subjects skin, fill couplant, described ultrasonic probe is linear array probe, and its mid frequency is 7.5MHz.
4. the method utilizing ultrasonoscopy entropy Characteristics Detection muscle fatigue process according to claim 1 and 2, it is characterized in that: by B ultrasonic system log (SYSLOG), record the ultrasonoscopy of a width target muscle tissue at set intervals, terminate to measure until target muscle tissue starts shake.
5. utilize a system for ultrasonoscopy entropy Characteristics Detection muscle fatigue process, it is characterized in that: comprise ultrasonic transducer, B ultrasonic system, computer control and graphics processing unit, forcing unit and force control unit, B ultrasonic system, force control unit control with computer respectively and graphics processing unit is connected, and force control unit connects forcing unit, ultrasonic signal is sent to target muscle tissue by ultrasonic transducer, simultaneously, constant power is applied to experimenter's target muscles by force control unit controls forcing unit, and by maximum shrinkage force normalization, namely maximum moment is recorded, then 20% is got, 30%, the different weight percentage maximum moment such as 40% is as the moment of test, delivered to computer through ultrasonic probe to be controlled and graphics processing unit process obtains the textural characteristics of meat fiber image entropy by the meat fiber figure of B ultrasonic system log (SYSLOG) target muscles, by the process of the image entropy threshold decision target muscles muscle fatigue of delimitation.
6. the system utilizing ultrasonoscopy entropy Characteristics Detection muscle fatigue process according to claim 5, it is characterized in that: described forcing unit is constant speed muscle strength test device, experimenter regulates size and the time of force by the control line of force control unit, force size obtain by after maximum shrinkage force normalization, the force time from measure target muscle tissue start shake terminate.
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| CN110161330A (en) * | 2019-05-10 | 2019-08-23 | 广东石油化工学院 | The vibration sound detection method and device of running state of transformer based on grey topology degree |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107361794A (en) * | 2017-08-03 | 2017-11-21 | 爱纳医疗科技股份有限公司 | A kind of device and method based on ultrasonic assembly and peripheral nerve stimulator detection kinesitherapy nerve feedback |
| CN112638274A (en) * | 2018-08-29 | 2021-04-09 | 皇家飞利浦有限公司 | Ultrasound system and method for intelligent shear wave elastography |
| CN110161330A (en) * | 2019-05-10 | 2019-08-23 | 广东石油化工学院 | The vibration sound detection method and device of running state of transformer based on grey topology degree |
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