CN109326341A - A kind of rehabilitation motion guiding method and apparatus - Google Patents

A kind of rehabilitation motion guiding method and apparatus Download PDF

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Publication number
CN109326341A
CN109326341A CN201811100488.XA CN201811100488A CN109326341A CN 109326341 A CN109326341 A CN 109326341A CN 201811100488 A CN201811100488 A CN 201811100488A CN 109326341 A CN109326341 A CN 109326341A
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China
Prior art keywords
rehabilitation
signal
patient
electromagnetic wave
wave signal
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CN201811100488.XA
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Chinese (zh)
Inventor
汤立许
刘钊
王志华
潘明虎
郭少颖
王静静
邢阳琦
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WUHAN GYMNASTIC COLLEGE
Wuhan Sports University
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WUHAN GYMNASTIC COLLEGE
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Priority to CN201811100488.XA priority Critical patent/CN109326341A/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

The embodiment of the present invention provides a kind of rehabilitation motion guiding method and apparatus, is related to field of medical technology.Wherein, the rehabilitation motion guiding method includes the electromagnetic wave signal of patient for receiving electromagnetic wave acquisition equipment and acquiring and sending;The signal characteristic in the electromagnetic wave signal is extracted, and is chosen from default rehabilitation guidance action lists according to the signal characteristic and is acted with the matched rehabilitation guidance of the signal characteristic;Rehabilitation guidance movement is exported according to presets to guide patient to act according to the rehabilitation guidance and carry out rehabilitation training.The rehabilitation motion guiding method that the present invention provides can provide the rehabilitation movement for being more in line with patient demand for each patient, to improve rehabilitation training effect.

Description

A kind of rehabilitation motion guiding method and apparatus
Technical field
The present invention relates to field of medical technology, in particular to a kind of rehabilitation motion guiding method and apparatus.
Background technique
With epilepsy, Parkinson, diabetes and other diseases patient in, it is understood that there may be limbs tremble, are stiff, is clumsy in one's movement, The mask face for lacking facial expression and presenting, the symptoms such as ambiguous of furthermore speaking, but in the prior art, exist for such patient When carrying out rehabilitation training by taking exercise, effective motion guiding can not be carried out for each patient, cause rehabilitation efficacy poor, even Influence the Rehabilitation confidence of patient.
Summary of the invention
In view of this, the present invention provides a kind of rehabilitation motion guiding method and apparatus, to solve the above problems.
Present pre-ferred embodiments provide a kind of rehabilitation motion guiding method, are applied to logical with electromagnetic wave acquisition equipment The rehabilitation guiding terminal of letter, which comprises
Receive the electromagnetic wave signal of patient that electromagnetic wave acquisition equipment is acquired and sent;
The signal characteristic in the electromagnetic wave signal is extracted, and action column is guided from default rehabilitation according to the signal characteristic It chooses in table and is acted with the matched rehabilitation guidance of the signal characteristic;
Rehabilitation guidance movement is exported according to presets to guide patient to act according to the rehabilitation guidance and carry out Rehabilitation training.
In the selection of present pre-ferred embodiments, the electromagnetic wave signal includes eeg signal and/or myoelectricity wave letter Number.
In the selection of present pre-ferred embodiments, when the electromagnetic wave signal includes eeg signal and flesh electric wave signal When, the signal characteristic includes the first signal characteristic corresponding with the eeg signal and corresponding with the flesh electric wave signal Second signal feature, according to the signal characteristic from default rehabilitation guidance action lists in choose it is matched with the signal characteristic Rehabilitation guidance act the step of include:
It sums according to default weighted value to first signal characteristic and the second signal feature, is tied according to summation Fruit chooses matched rehabilitation guidance movement from the default rehabilitation guidance action lists.
In the selection of present pre-ferred embodiments, the presets include speech form, visual form or image shape One of formula is a variety of.
In the selection of present pre-ferred embodiments, the method also includes:
The history electromagnetic wave signal of the patient acquired in preset duration is transferred, and judges the history electromagnetic wave letter Variation tendency number in the preset duration;
Judge whether the variation tendency meets preset need, if satisfied, then determining the rehabilitation guidance movement and patient The state of an illness match and judging result is saved.
In the selection of present pre-ferred embodiments, when the variation tendency meets preset need, the method is also wrapped It includes:
Obtain the physical sign parameters of patient that each vital sign sensors for being set on patient body are acquired and sent;
Judge difference between the physical sign parameters and preset reference index whether meet demand, if satisfied, then determining institute The illness for stating patient is alleviated and will determine that result shows patient.
In the selection of present pre-ferred embodiments, the rehabilitation guiding terminal can be communicated with image collecting device, institute State method further include:
Receive video information of the patient of described image acquisition device acquisition when carrying out rehabilitation training;
The rehabilitation guidance movement for including in the video information is extracted, and judges the rehabilitation guidance movement with the presence or absence of different Often;
It deposits when abnormal, is then generated according to exception information corresponding with the rehabilitation guidance movement when in rehabilitation guidance movement Update information and preservation, and patient is guided when patient carries out next rehabilitation training.
Present pre-ferred embodiments provide a kind of rehabilitation motion guiding device, are applied to acquire equipment with electromagnetic wave The rehabilitation guiding terminal of communication, the rehabilitation motion guiding device include:
Signal acquisition module, the electromagnetic wave signal of patient for acquiring and sending for receiving electromagnetic wave acquisition equipment;
Signal processing module, for extracting the signal characteristic in the electromagnetic wave signal, and according to the signal characteristic from It chooses in default rehabilitation guidance action lists and is acted with the matched rehabilitation guidance of the signal characteristic;
Motion guiding module, for exporting rehabilitation guidance movement according to presets to guide patient according to described Rehabilitation guidance movement carries out rehabilitation training.
In the selection of present pre-ferred embodiments, when the electromagnetic wave signal includes eeg signal and flesh electric wave signal When, the signal characteristic includes the first signal characteristic corresponding with the eeg signal and corresponding with the flesh electric wave signal Second signal feature, the signal processing module is also used to according to default weighted value to first signal characteristic and described Binary signal feature is summed, according to summed result from it is described set chosen in rehabilitation guidance action lists matched rehabilitation guide it is dynamic Make.
In the selection of present pre-ferred embodiments, the rehabilitation motion guiding device further include:
Signal transfers module, for transferring the electromagnetic wave signal of the patient acquired in preset duration, and judges institute State variation tendency of the electromagnetic wave signal in the preset duration;
Judgment module, for judging whether the variation tendency meets preset need, if satisfied, then determining that the rehabilitation is drawn Movement is led to match with the state of an illness of patient and save the disconnected result of judgement.
Compared with prior art, the embodiment of the present invention provides a kind of rehabilitation motion guiding method and apparatus, wherein the present invention It can be directed to different patients, the rehabilitation guidance movement of patient demand is met simultaneously based on the electromagnetic wave signal selection that the patient generates The rehabilitation guidance is acted and shows patient according to certain forms, allows the patient to carry out according to rehabilitation guidance movement corresponding Rehabilitation training improves rehabilitation training effect so that rehabilitation training difficulty be greatly reduced.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the frame structure schematic diagram of rehabilitation guiding terminal provided in an embodiment of the present invention.
Fig. 2 is the flow diagram of rehabilitation motion guiding method provided in an embodiment of the present invention.
Fig. 3 is another flow diagram of rehabilitation motion guiding method provided in an embodiment of the present invention.
Fig. 4 is the another flow diagram of rehabilitation motion guiding method provided in an embodiment of the present invention.
Fig. 5 is the another flow diagram of rehabilitation motion guiding method provided in an embodiment of the present invention.
Fig. 6 is the frame structure schematic diagram of rehabilitation motion guiding device provided in an embodiment of the present invention.
Icon: 10- rehabilitation guiding terminal;100- rehabilitation motion guiding device;110- signal acquisition module;At 120- signal Manage module;130- motion guiding module;140- signal transfers module;150- judgment module;200- memory;300- storage control Device;400- processor.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented The component of example can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, this field is common Technical staff's every other embodiment obtained without creative efforts belongs to the model that the present invention protects It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
As shown in Figure 1, for the rehabilitation guidance of application rehabilitation motion guiding device 100 provided in an embodiment of the present invention and method The frame structure schematic diagram of terminal 10.Wherein, the rehabilitation guiding terminal 10 includes rehabilitation motion guiding device 100, memory 200, storage control 300 and processor 400.Wherein, the rehabilitation guiding terminal 10 may be, but not limited to, computer, shifting The electronic equipment with processing function such as dynamic equipment for surfing the net (mobile Internet device, MID), can also be server Deng.
Optionally, the memory 200, storage control 300, each element of processor 400 are direct or indirect between each other Ground is electrically connected, to realize the transmission or interaction of data.For example, passing through one or more communication bus or letter between these elements Number line, which is realized, to be electrically connected.The rehabilitation motion guiding device 100 includes that at least one can be stored in the form of software or firmware In the memory 200 or the software function module that is solidificated in the operating system of the rehabilitation guiding terminal 10.The place Reason device 400 accesses the memory 200 under the control of the storage control 300, for executing in the memory 200 The executable module of storage, such as software function module and computer program included by the rehabilitation motion guiding device 100 Deng.
It is appreciated that structure shown in FIG. 1 is only to illustrate, the rehabilitation guiding terminal 10 may also include than shown in Fig. 1 More perhaps less component or with the configuration different from shown in Fig. 1.Each component shown in Fig. 1 can using hardware, Software or combinations thereof is realized.
Further, Fig. 2 is please referred to, the embodiment of the present invention, which also provides one kind, can be applied to the rehabilitation motion guiding The rehabilitation motion guiding method of device 100.It should be noted that rehabilitation motion guiding method of the present invention is not with Fig. 2 And specific order as described below is limitation.It should be appreciated that rehabilitation motion guiding method part step of the present invention Rapid sequence can be exchanged with each other according to actual needs or part steps therein also can be omitted or delete.
Step S11 receives the electromagnetic wave signal of patient that electromagnetic wave acquisition equipment is acquired and sent;
Step S12 extracts the signal characteristic in the electromagnetic wave signal, and is drawn according to the signal characteristic from default rehabilitation It leads to choose in action lists and be acted with the matched rehabilitation guidance of the signal characteristic;
Step S13 exports rehabilitation guidance movement to guide patient to guide according to the rehabilitation according to presets Movement carries out rehabilitation training.
In the present embodiment, the rehabilitation motion guiding method provided in S10- step S13 through the above steps can be for not Same patient chooses corresponding rehabilitation guidance movement according to the electromagnetic wave signal of the collected patient to guide patient to carry out health Refreshment is practiced, and can be avoided since the problems such as limbs tremble, is stiff, clumsy in one's movement caused patient can not carry out effective rehabilitation instruction Experienced problem effectively improves rehabilitation training effect.
In detail, in step s 11, the electromagnetic wave signal includes one in eeg signal and/or flesh electric wave signal Kind is a variety of.The concrete type of the electromagnetic wave acquisition equipment can be chosen according to actual needs, for example, the electromagnetic wave is adopted Collection equipment can be to be made of multiple electric wave acquisition electrodes, in use, acquisition electrode can be mounted on to the scalp of patient Either to acquire eeg signal or flesh electric wave signal etc. on the skin at other positions;In another example the electromagnetic wave acquisition is set It is standby to be also possible to that intelligent helmet, Intelligent bracelet or intelligent glasses etc. can be realized brain wave or the wearing of myoelectricity wave acquisition is set It is standby, in this regard, the present embodiment is with no restrictions.
In step S12, since collected electromagnetic wave signal is highly susceptible to the interference of other noise signals, as eye electricity, Therefore Hz noise, electromagnetic interference etc. in the present embodiment, need to pre-process the electromagnetic wave signal received, to go Except the noise wherein mixed, collected effective eeg signal or flesh electric wave signal are extracted as signal characteristic.Wherein, institute State pretreated detailed process can include: place is filtered to electromagnetic wave signal using bandpass filter or low-pass filter first Reason, then can be used effective brain that Principal Component Analysis Algorithm or independent composition analysis algorithm extract patient from filtered signal Electric wave or flesh electric wave signal etc..It should be noted that the signal characteristic provided in the embodiment of the present invention is specifically as follows electromagnetic wave The corresponding frequency range feature of brain wave or flesh electric wave signal frequency range for including in signal, and the frequency range feature can be useful signal frequency The features such as the corresponding frequency energy of section, power spectrum, Sample Entropy and approximate entropy.
In addition, provided in step S12 default rehabilitation guidance action lists be previously according to unlike signal feature from it is different Rehabilitation movement carry out corresponding save and obtain, the rehabilitation movement can be but not limited to Tai Ji hand position or other according to patient Practical illness be designed rehabilitation movement etc..When actual implementation, according to the electromagnetic waveforms for including in the electromagnetic wave signal The difference of formula chooses the mode difference that matched rehabilitation guidance acts from the default rehabilitation guidance action lists.
It, can be directly according to extracting for example, when the electromagnetic wave signal is only eeg signal or flesh electric wave signal The selection of signal characteristic progress rehabilitation guidance movement.
In another example when the electromagnetic wave signal includes eeg signal and flesh electric wave signal, in order to take into account two kinds Signal, to choose the rehabilitation guidance movement for being more in line with patient demand, in the present embodiment, the signal characteristic may include and institute Corresponding first signal characteristic of eeg signal and second signal feature corresponding with the flesh electric wave signal are stated, then, It, can be according to default weighted value to first signal characteristic and the second signal feature when carrying out the selection of rehabilitation guidance movement It sums, matched rehabilitation guidance movement is chosen from described set according to summed result in rehabilitation guidance action lists.Wherein, institute The weighted value for stating the first signal characteristic and the second signal feature can be configured based on experience value, and the present embodiment is not done herein Limitation.
It is understood that in actual implementation, the present invention can be but not when carrying out the selection of rehabilitation guide movement It is limited to above two mode.
Further, in step S13, the presets include one in speech form, visual form or image format Kind is a variety of.For example, the rehabilitation guidance can be acted with voice broadcast, video playing or virtual reality when actual implementation Form is presented to patient, to guide patient to carry out rehabilitation training.It is understood that using as voice broadcast, video playing or The form of virtual reality enable to rehabilitation guidance act it is more three-dimensional, vivid be presented to patient, and then can effectively enhance The rehabilitation interest of patient ensures rehabilitation efficacy.
Further, in the present embodiment, the rehabilitation for effective monitoring patient after completing a certain amount of rehabilitation training Effect, and the rehabilitation programme etc. of patient is adjusted and optimized according to rehabilitation efficacy, as shown in figure 3, in the present embodiment, the rehabilitation Motion guiding method may also include step S14 and step S15, specific as follows.
Step S14, transfers the history electromagnetic wave signal of the patient acquired in preset duration, and judges the history Variation tendency of the electromagnetic wave signal in the preset duration;
Step S15, judges whether the variation tendency meets preset need, if satisfied, then determining that the rehabilitation guidance is dynamic Work is matched with the state of an illness of patient and is saved to judging result.
In detail, the preset duration in step S14 can be but not limited to one week, two weeks or one month etc., the present embodiment Herein with no restrictions.It should be noted that can divide when judging variation tendency of the history electromagnetic wave signal in preset duration Safety pin in the electromagnetic wave signal the eeg signal for including and flesh electric wave signal carry out, so that it is guaranteed that judging result is accurate Property.In addition, the preset need of the step S14, which can be rehabilitation doctor, is rule of thumb judged and is inputted judging result, It can be the standard value of the rehabilitation efficacy for meeting patient's current generation based on the obtained empirical value of big data and then setting, this reality Example is applied to be not particularly limited herein.
Further, according to actual needs, in order to which whether the illness for further verifying patient is improved, as shown in figure 4, In the present embodiment, the rehabilitation motion guiding method may also include step S16 and step S17, specific as follows.
Step S16 obtains the sign of patient that each vital sign sensors for being set on patient body are acquired and sent Parameter;
Step S17, judge difference between the physical sign parameters and preset reference index whether meet demand, if satisfied, Then determine that the illness of the patient is alleviated and will determine that result shows patient.
Specifically, the vital sign sensors in step S16 can include but is not limited to the biography of the blood pressure for detecting blood pressure Sensor, the temperature sensor for measuring body temperature, the blood pressure measurement sensor for measuring blood pressure, the phase for detecting each limbs To the pressure sensor etc. of dynamics, the present embodiment is herein with no restrictions.In addition, the preset reference index in step S17 can be The history physical sign parameters before rehabilitation training are carried out, vital sign parameter corresponding with the current rehabilitation stage etc. is also possible to, are had Body, it can flexibly be set according to different parameters in actual implementation.
For example, for the patient for suffering from Parkinsonian symptoms, it is understood that there may be there is the problems such as HEM NOT LEVELED when standing in bipod, that , the vital sign sensors can be the pressure sensor for being set to patient's sole, can be by two when being compared Two pressure values that the pressure sensor of sole detects are compared, if the difference of the two is less than preset value, judge the trouble The illness of person is eased, i.e. the rehabilitation training of current generation is effective.
It should be noted that when the difference between the physical sign parameters and preset reference index is unsatisfactory for demand or sign ginseng When number is poor, it can will determine that result feeds back to medical staff and carries out advanced optimizing for rehabilitation training, and do not open up to patient Show, to avoid the rehabilitation mood for influencing patient, influences rehabilitation efficacy.
Further, since for different illnesss, there may be limbs to tremble by patient, the various problems such as handicapped, Therefore, in actual rehabilitation training, it is understood that there may be patient motion is not in place, nonstandard or even deal with the behaviors such as get over, Rehabilitation efficacy is influenced, as shown in figure 5, in the present embodiment, the rehabilitation motion guiding method may also include step S18- step S20 is specific as follows to solve foregoing problems.
Step S18 receives video information of the patient of described image acquisition device acquisition when carrying out rehabilitation training;
Step S19 extracts the rehabilitation guidance movement for including in the video information, and judges that the rehabilitation guidance movement is It is no to there is exception;
Step S20 is deposited when abnormal when in rehabilitation guidance movement, is then generated according to exception information and guided with the rehabilitation It acts corresponding update information and saves, and patient is guided when patient carries out next rehabilitation training.
Firstly the need of explanation, described image acquisition device can be communicated with the rehabilitation guiding terminal 10, with The acquisition of Rehabilitation training video is carried out under the rehabilitation guiding terminal 10 control.Exception is acquired about described image and is filled Type set etc. can be selected according to actual needs, and the present embodiment is herein with no restrictions.
In detail, pass through the setting of step S18- step S20 in the present embodiment, it can be for each different patient in health Refreshment practice in practical manifestation and there are the problem of, targetedly instructed, to effectively improve rehabilitation training effect.
Wherein, it is that the action intensity that occurs is too small or too that the exception in step S19, which can be patient carrying out rehabilitation training, Greatly, frequency is too fast or too slow, action criteria, do not complete training burden etc., and the present embodiment is herein with no restrictions.According to actual needs, When whether the rehabilitation movement for the patient for including in judging the video information is abnormal, it can be artificial judgment and then tie judgement Fruit is input in the rehabilitation guiding terminal 10, is also possible to carry out at image the image information for including in video information Reason, extraction etc., then the information of extraction is compared with presupposed information, determines there is exception etc. if the two mismatches, The present embodiment is not particularly limited herein.
Further, Fig. 6 is please referred to, rehabilitation motion guiding device 100 provided in an embodiment of the present invention includes signal It obtains module 110, signal processing module 120, motion guiding module 130, signal and transfers module 140 and judgment module 150.
The signal acquisition module 110, the electromagnetism of patient for acquiring and sending for receiving electromagnetic wave acquisition equipment Wave signal;In the present embodiment, step S11 can be executed by the signal acquisition module 110, and detailed process please refers to step S11, This is repeated no more.
The signal processing module 120, for extracting the signal characteristic in the electromagnetic wave signal, and according to the signal Feature is chosen from default rehabilitation guidance action lists and is acted with the matched rehabilitation guidance of the signal characteristic;In the present embodiment, step Rapid S12 can be executed by the signal processing module 120, and detailed process please refers to step S12, and details are not described herein.
The motion guiding module 130, for exporting rehabilitation guidance movement according to presets to guide patient It is acted according to the rehabilitation guidance and carries out rehabilitation training.In the present embodiment, step S13 can be held by the motion guiding module 130 Row, detailed process please refer to step S13, and details are not described herein.
The signal transfers module 140, for transferring the electromagnetic wave signal of the patient acquired in preset duration, and Judge variation tendency of the electromagnetic wave signal in the preset duration;In the present embodiment, step S14 can be transferred by the signal Module 140 executes, and detailed process please refers to step S14, and details are not described herein.
The judgment module 150, for judging whether the variation tendency meets preset need, if satisfied, then determining institute Rehabilitation guidance movement is stated to match with the state of an illness of patient and save judging result.In the present embodiment, step S15 can be by described Judgment module 150 executes, and detailed process please refers to step S15, and details are not described herein.
In conclusion the embodiment of the present invention provides a kind of rehabilitation motion guiding method and apparatus, wherein the present invention being capable of needle To different patients, the electromagnetic wave signal based on patient generation chooses the rehabilitation guidance movement for meeting patient demand and should Rehabilitation guidance movement shows patient according to certain forms, allows the patient to carrying out corresponding health according to rehabilitation guidance movement Refreshment is practiced, so that rehabilitation difficulty be greatly reduced, improves rehabilitation training effect.
In the description of the present invention, term " setting ", " connected ", " connection " shall be understood in a broad sense, for example, it may be fixed Connection, may be a detachable connection, or be integrally connected;It can be mechanical connection, be also possible to be electrically connected;It can be directly It is connected, the connection inside two elements can also be can be indirectly connected through an intermediary.For the ordinary skill of this field For personnel, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.
In several embodiments provided by the embodiment of the present invention, it should be understood that disclosed device and method, it can also To realize by other means.Device and method embodiment described above is only schematical, for example, the stream in attached drawing Journey figure and block diagram show that the device of preset quantity embodiment according to the present invention, method and computer program product may be real Existing architecture, function and operation.In this regard, each box in flowchart or block diagram can represent module, a journey A part of sequence section or code.A part of the module, section or code include one or preset quantity for realizing Defined logic function.
It should also be noted that function marked in the box can also be with difference in some implementations as replacement The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes It can also execute in the opposite order, this depends on the function involved.It is also noted that in block diagram and or flow chart The combination of box in each box and block diagram and or flow chart, can function or movement as defined in executing it is dedicated Hardware based system is realized, or can be realized using a combination of dedicated hardware and computer instructions.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of rehabilitation motion guiding method, which is characterized in that be applied to draw with the rehabilitation that electromagnetic wave acquisition equipment communicates Lead terminal, which comprises
Receive the electromagnetic wave signal of patient that electromagnetic wave acquisition equipment is acquired and sent;
The signal characteristic in the electromagnetic wave signal is extracted, and according to the signal characteristic from default rehabilitation guidance action lists It chooses and is acted with the matched rehabilitation guidance of the signal characteristic;
Rehabilitation guidance movement is exported according to presets to guide patient to act according to the rehabilitation guidance and carry out rehabilitation Training.
2. rehabilitation motion guiding method according to claim 1, which is characterized in that the electromagnetic wave signal includes brain wave Signal and/or flesh electric wave signal.
3. rehabilitation motion guiding method according to claim 2, which is characterized in that when the electromagnetic wave signal includes brain electricity When wave signal and flesh electric wave signal, the signal characteristic include the first signal characteristic corresponding with the eeg signal and with The corresponding second signal feature of the flesh electric wave signal is chosen from default rehabilitation guidance action lists according to the signal characteristic The step of acting with the matched rehabilitation guidance of the signal characteristic include:
Sum according to default weighted value to first signal characteristic and the second signal feature, according to summed result from Matched rehabilitation guidance movement is chosen in the default rehabilitation guidance action lists.
4. rehabilitation motion guiding method according to claim 1, which is characterized in that the presets include voice shape One of formula, visual form or image format are a variety of.
5. rehabilitation motion guiding method according to claim 1, which is characterized in that the method also includes:
The history electromagnetic wave signal of the patient acquired in preset duration is transferred, and judges that the history electromagnetic wave signal exists Variation tendency in the preset duration;
Judge whether the variation tendency meets preset need, if satisfied, then determining the disease of the rehabilitation guidance movement and patient Feelings are matched and are saved to judging result.
6. rehabilitation motion guiding method according to claim 5, which is characterized in that when the variation tendency meets default need When asking, the method also includes:
Obtain the physical sign parameters of patient that each vital sign sensors for being set on patient body are acquired and sent;
Judge difference between the physical sign parameters and preset reference index whether meet demand, if satisfied, then determining the trouble The illness of person is alleviated and will determine that result shows patient.
7. rehabilitation motion guiding method according to claim 1, which is characterized in that the rehabilitation guiding terminal can be with figure Picture acquisition device communicates, the method also includes:
Receive video information of the patient of described image acquisition device acquisition when carrying out rehabilitation training;
The rehabilitation guidance movement for including in the video information is extracted, and judges the rehabilitation guidance movement with the presence or absence of abnormal;
It is deposited when abnormal when in rehabilitation guidance movement, then generates that rehabilitation guidance movement is corresponding repairs with this according to exception information Positive information simultaneously saves, and guides when patient carries out next rehabilitation training to patient.
8. a kind of rehabilitation motion guiding device, which is characterized in that be applied to draw with the rehabilitation that electromagnetic wave acquisition equipment communicates Terminal is led, the rehabilitation motion guiding device includes:
Signal acquisition module, the electromagnetic wave signal of patient for acquiring and sending for receiving electromagnetic wave acquisition equipment;
Signal processing module, for extracting the signal characteristic in the electromagnetic wave signal, and according to the signal characteristic from default Rehabilitation is guided to choose in action lists and be acted with the matched rehabilitation guidance of the signal characteristic;
Motion guiding module, for exporting rehabilitation guidance movement according to presets to guide patient according to the rehabilitation Guidance movement carries out rehabilitation training.
9. rehabilitation motion guiding device according to claim 8, which is characterized in that when the electromagnetic wave signal includes brain electricity When wave signal and flesh electric wave signal, the signal characteristic include the first signal characteristic corresponding with the eeg signal and with The corresponding second signal feature of the flesh electric wave signal, the signal processing module are also used to according to default weighted value to described One signal characteristic and the second signal feature are summed, and are selected according to summed result from described set in rehabilitation guidance action lists Matched rehabilitation guidance is taken to act.
10. rehabilitation motion guiding device according to claim 8, which is characterized in that the rehabilitation motion guiding device is also Include:
Signal transfers module, for transferring the electromagnetic wave signal of the patient acquired in preset duration, and judges the electricity Variation tendency of the magnetostatic wave signal in the preset duration;
Judgment module, for judging whether the variation tendency meets preset need, if satisfied, then determining that the rehabilitation guidance is dynamic Work is matched with the state of an illness of patient and is saved to judging result.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110060757A (en) * 2019-05-06 2019-07-26 李萍 Posture disease prevention system based on healthy gymnastic training
CN110278489A (en) * 2019-07-26 2019-09-24 谢建飞 A kind of method that broadcasting content is controlled according to patient's expression and broadcasting control system
CN110908506A (en) * 2019-10-29 2020-03-24 浙江迈联医疗科技有限公司 Bionic intelligent algorithm-driven active and passive integrated rehabilitation method, device, storage medium and equipment
CN112085169A (en) * 2020-09-11 2020-12-15 西安交通大学 Autonomous learning and evolution method for limb exoskeleton assisted rehabilitation brain-myoelectricity fusion sensing
CN112826504A (en) * 2021-01-07 2021-05-25 中新国际联合研究院 Games-based Parkinson symptom grade assessment method and device

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090270768A1 (en) * 2008-04-26 2009-10-29 Lee Michael E Stroke rehabilitation program
CN101947356A (en) * 2010-10-22 2011-01-19 上海交通大学 Injured brain function rehabilitation device based on brain-computer interaction
CN102567638A (en) * 2011-12-29 2012-07-11 无锡微感科技有限公司 Interactive upper limb rehabilitation system based on micro-sensor
CN104207793A (en) * 2014-07-03 2014-12-17 中山大学 Gripping function evaluating and training system
CN105213153A (en) * 2015-09-14 2016-01-06 西安交通大学 Based on the lower limb rehabilitation robot control method of brain flesh information impedance
JP2016002207A (en) * 2014-06-16 2016-01-12 オリンパス株式会社 Defibrillation system
CN105771182A (en) * 2016-05-13 2016-07-20 中国科学院自动化研究所 Active exercise control method and device for rehabilitation robot
CN107564585A (en) * 2017-07-06 2018-01-09 四川护理职业学院 Brain palsy recovery management system and method based on cloud platform
CN107638629A (en) * 2017-09-29 2018-01-30 北京联合大学 A kind of double auxiliary hand function rehabilitation training systems of double feedbacks
CN107961135A (en) * 2016-10-19 2018-04-27 精工爱普生株式会社 Rehabilitation training system
CN108096810A (en) * 2018-01-19 2018-06-01 佛山科学技术学院 A kind of healing hand function platform
CN108172305A (en) * 2017-12-22 2018-06-15 首都医科大学宣武医院 Continue user terminal, remote server and the system of nursing for cerebral apoplexy
CN108198602A (en) * 2018-01-30 2018-06-22 宁波江丰生物信息技术有限公司 A kind of healing hand function exercise system

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090270768A1 (en) * 2008-04-26 2009-10-29 Lee Michael E Stroke rehabilitation program
CN101947356A (en) * 2010-10-22 2011-01-19 上海交通大学 Injured brain function rehabilitation device based on brain-computer interaction
CN102567638A (en) * 2011-12-29 2012-07-11 无锡微感科技有限公司 Interactive upper limb rehabilitation system based on micro-sensor
JP2016002207A (en) * 2014-06-16 2016-01-12 オリンパス株式会社 Defibrillation system
CN104207793A (en) * 2014-07-03 2014-12-17 中山大学 Gripping function evaluating and training system
CN105213153A (en) * 2015-09-14 2016-01-06 西安交通大学 Based on the lower limb rehabilitation robot control method of brain flesh information impedance
CN105771182A (en) * 2016-05-13 2016-07-20 中国科学院自动化研究所 Active exercise control method and device for rehabilitation robot
CN107961135A (en) * 2016-10-19 2018-04-27 精工爱普生株式会社 Rehabilitation training system
CN107564585A (en) * 2017-07-06 2018-01-09 四川护理职业学院 Brain palsy recovery management system and method based on cloud platform
CN107638629A (en) * 2017-09-29 2018-01-30 北京联合大学 A kind of double auxiliary hand function rehabilitation training systems of double feedbacks
CN108172305A (en) * 2017-12-22 2018-06-15 首都医科大学宣武医院 Continue user terminal, remote server and the system of nursing for cerebral apoplexy
CN108096810A (en) * 2018-01-19 2018-06-01 佛山科学技术学院 A kind of healing hand function platform
CN108198602A (en) * 2018-01-30 2018-06-22 宁波江丰生物信息技术有限公司 A kind of healing hand function exercise system

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110060757A (en) * 2019-05-06 2019-07-26 李萍 Posture disease prevention system based on healthy gymnastic training
CN110278489A (en) * 2019-07-26 2019-09-24 谢建飞 A kind of method that broadcasting content is controlled according to patient's expression and broadcasting control system
CN110278489B (en) * 2019-07-26 2021-03-30 谢建飞 Method for controlling playing content according to patient expression and playing control system
CN110908506A (en) * 2019-10-29 2020-03-24 浙江迈联医疗科技有限公司 Bionic intelligent algorithm-driven active and passive integrated rehabilitation method, device, storage medium and equipment
CN110908506B (en) * 2019-10-29 2023-04-07 浙江迈联医疗科技有限公司 Bionic intelligent algorithm-driven active and passive integrated rehabilitation method, device, storage medium and equipment
CN112085169A (en) * 2020-09-11 2020-12-15 西安交通大学 Autonomous learning and evolution method for limb exoskeleton assisted rehabilitation brain-myoelectricity fusion sensing
CN112085169B (en) * 2020-09-11 2022-05-20 西安交通大学 Autonomous learning and evolution method for limb exoskeleton auxiliary rehabilitation brain-myoelectricity fusion sensing
CN112826504A (en) * 2021-01-07 2021-05-25 中新国际联合研究院 Games-based Parkinson symptom grade assessment method and device
CN112826504B (en) * 2021-01-07 2024-03-26 中新国际联合研究院 Game parkinsonism grade assessment method and device

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Application publication date: 20190212