LU501249B1 - Method and Device for Guiding Rehabilitation Exercises - Google Patents

Abstract

The invention provides a method and a device for guiding rehabilitation exercises, and relates to the technical field of medical treatment. The method for guiding rehabilitation exercises includes following steps: receiving electromagnetic wave signals of patients collected and sent by electromagnetic wave collecting equipment; extracting the signal characteristics of the electromagnetic wave signals, and selecting the rehabilitation guidance action matched with the signal characteristics from the preset rehabilitation guidance action list according to the signal characteristics; and outputting the rehabilitation guidance action according to a preset form to guide the patient to perform rehabilitation training according to the rehabilitation guidance action. To sum up, the guidance method of rehabilitation exercises provided by the invention may provide rehabilitation exercises in line with the needs of each patient, thereby improving the rehabilitation training effect.

Description

DESCRIPTION HUS01249 Method and Device for Guiding Rehabilitation Exercises

TECHNICAL FIELD The invention relates to the technical field of medical treatment, particularly to a method and a device for guiding rehabilitation exercises.

BACKGROUND Patients with epilepsy, Parkinson's disease and diabetes may have symptoms of masked face and slurred speech duo to limb trembling, stiffness, clumsiness and lack of facial expression. However, in the prior art, it is impossible to provide effective movement guidance for each patient during rehabilitation training, which leads to poor rehabilitation effect and even affects patients’ rehabilitation confidence.

SUMMARY In view of this, the present invention provides a method and device for guiding rehabilitation exercises to solve the above problems.

The prefer embodiment of the invention provides a method for guiding rehabilitation exercises, which is applied to a rehabilitation guidance terminal capable of communicating with electromagnetic wave collecting equipment, and the method comprises the following steps: Receiving electromagnetic wave signals of patients collected and sent by electromagnetic wave collecting equipment; Extracting the signal characteristics of the electromagnetic wave signals, and selecting the rehabilitation guidance action matched with the signal characteristics from the preset rehabilitation guidance action list according to the signal characteristics; And outputting the rehabilitation guidance action according to a preset form to guide the patient to perform rehabilitation training according to the rehabilitation guidance action.

In the preferred embodiment of the present invention, the electromagnetic wave signals comprise brain wave signals and/or myoelectric wave signals.

In the preferred embodiment of the present invention, when the electromagnetic HUS01249 wave signals include brain wave signals and myoelectric wave signals, the signal characteristics include a first signal characteristic corresponding to the brain wave signals and a second signal characteristic corresponding to the myoelectric wave signal; according to the signal characteristics, the step of selecting rehabilitation guidance actions matched with the signal characteristics from the preset rehabilitation guidance actions list includes as follows: Summing the first signal characteristic and the second signal characteristic according to a preset weight value, and selecting a matched rehabilitation guidance action from the preset rehabilitation guidance action list according to the summation result.

In the preferred embodiment of the present invention, the preset form includes one or more of voice form, video form or image form.

In the preferred embodiment of the present invention, the method further comprises the following steps: Retrieving the historical electromagnetic wave signals of the patient collected within a preset time period, and judging the change trend of the historical electromagnetic wave signals within the preset time period; And judging whether the change trend meets the preset requirements, if so, judging that the rehabilitation guidance action matches the patient's condition and saving the judgment result.

In the preferred embodiment of the present invention, when the change trend meets the preset demand, the method further comprises: Acquiring the patient's vital sign parameters collected and sent by vital sign sensors arranged on the patient's body; And judging whether the difference between the physical sign parameters and the preset reference index meets the demand, if so, judging that the symptoms of the patient have been alleviated and displaying the judgment result to the patient.

In the preferred embodiment of the present invention, the rehabilitation guidance HUS01249 terminal may communicate with image acquisition device, and the method further comprises: Receiving the video information collected by the image acquisition device during rehabilitation training; Extracting rehabilitation guidance actions included in the video information, and judging whether the rehabilitation guidance actions are abnormal; And when there is an abnormality in the rehabilitation guidance action, generating and saving the correction information corresponding to the rehabilitation guidance action according to the abnormal information, as well as guiding patients during the next rehabilitation training.

The preferred embodiment of the invention provides a device for guiding rehabilitation exercises, which is applied to a rehabilitation guidance terminal capable of communicating with electromagnetic wave collecting equipment, and the device comprises as follows: A signal acquisition module, which is used for receiving the electromagnetic wave signals of patients acquired and sent by the electromagnetic wave collecting equipment; A signal processing module, which is used for extracting the signal characteristics of the electromagnetic wave signals, and selecting the rehabilitation guidance action matched with the signal characteristics from the preset rehabilitation guidance action list according to the signal characteristics; And an action guiding module, which is used for outputting the rehabilitation guiding action according to the preset form to guide the patient to perform rehabilitation training according to the rehabilitation guiding action.

In the preferred embodiment of the present invention, when the electromagnetic wave signals include brain wave signals and myoelectric wave signals, the signal characteristics include a first signal characteristic corresponding to the brain wave signals and a second signal characteristic corresponding to the myoelectric wave signals; the signal processing module is also used to sum the first signal characteristic and the second signal characteristic according to the preset weight value, and select 0001268 the matched rehabilitation guidance action from the rehabilitation guidance actions list according to the sum result.

In the preferred embodiment of the present invention, the device for guiding rehabilitation exercises further comprises: À signal retrieval module, which is used for retrieving the electromagnetic wave signals of the patients collected within a preset time period and judging the changing trend of the electromagnetic wave signals within the preset time period; And a judging module, which is used for judging whether the change trend meets the preset demand, if so, judging that the rehabilitation guidance action matches the patient's condition and saving the judgment result.

Compared with that prior art, the embodiment of the invention provides a guiding method and device of rehabilitation exercise; through the invention, based on the electromagnetic wave signals generated by the patients, rehabilitation guidance actions which meet the needs of patients may be selected and displayed to the patients in a certain form, so that the patients may carry out corresponding rehabilitation training according to the rehabilitation guidance actions, thereby greatly reducing the difficulty of rehabilitation training and improving the rehabilitation training effect.

BRIEF DESCRIPTION OF THE FIGURES In order to more clearly explain the technical scheme of the embodiment of the present invention, the following will briefly introduce the drawings needed in the embodiment. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For ordinary technicians in the field, other related drawings may be obtained according to these drawings without creative efforts.

FIG. 1 is a block diagram of the rehabilitation guidance terminal provided by the embodiment of the present invention.

FIG. 2 is a flow diagram of the rehabilitation exercises guiding method provided by the embodiment of the present invention.

FIG. 3 is another flow diagram of the rehabilitation exercises guiding method HUS01249 provided by the embodiment of the present invention.

FIG. 4 is another flow diagram of the rehabilitation exercises guidance method provided by the embodiment of the present invention.

FIG. 5 is another flow diagram of the rehabilitation exercises guidance method provided by the embodiment of the present invention.

FIG. 6 is a block diagram of the rehabilitation exercises guiding device provided by the embodiment of the present invention.

In the figure, 10-rehabilitation guidance terminal; 100-rehabilitation exercises guiding device; 110-signal acquisition module; 120-signal processing module; 130-action guidance module; 140-signal retrieval module; 150-judgment module; 200-memory; 300-memory controller; 400-processor.

DESCRIPTION OF THE INVENTION In order to make the objective, technical scheme and advantages of the embodiments of the present invention clear, the technical scheme in the embodiments of the present invention will be clearly and completely described with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Components of embodiments may be arranged and designed in various different configurations.

Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but only to represent selected embodiments of the invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of the present invention.

It should be noted that similar numbers and letters indicate similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the following drawings.

FIG. 1 shows a block diagram of the rehabilitation guidance terminal 10 which HUS01249 uses the rehabilitation exercises guidance device 100 and method provided by the embodiment; among them, the rehabilitation guidance terminal 10 includes a rehabilitation exercises guidance device 100, a memory 200, a memory controller 300 and a processor 400; and the rehabilitation guidance terminal 10 may be, but is not limited to, an electronic device with processing function such as a computer, a mobile Internet device (MID), or a server.

Optionally, the memory 200, the memory controller 300 and the processor 400 are electrically connected directly or indirectly to realize data transmission or interaction; for example, these components are electrically connected by one or more communication buses or signal lines. The rehabilitation exercises guidance device 100 includes at least one software function module which may be stored in the memory 200 in the form of software or firmware or solidified in the operating system of the rehabilitation guidance terminal 10. The processor 400 accesses the memory 200 under the control of the memory controller 300 for executing executable modules stored in the memory 200, such as software modules and computer programs included in the rehabilitation exercises guidance device 100.

It can be understood that the structure shown in FIG. 1 is schematic, and the rehabilitation guidance terminal 10 may also include more or fewer components than those shown in FIG. 1, or comprise different configurations from those shown in FIG. 1; in addition, each component shown in FIG. 1 may be implemented by hardware, software or a combination thereof.

Further, referring to FIG. 2, the embodiment of the present invention also provides a rehabilitation exercises guidance method applicable to the rehabilitation exercises guidance device 100; it should be noted that the rehabilitation exercises guidance method according to the present invention is not limited to the sequence described in figure 2 and below; and it should be understood that some steps in the rehabilitation exercises guidance method may be adjusted in order according to actual needs, or may be omitted.

S11, Receiving electromagnetic wave signals of patients collected and sent by HUS01249 electromagnetic wave collecting equipment; S12, Extracting the signal characteristics of the electromagnetic wave signals, and selecting the rehabilitation guidance action matched with the signal characteristics from the preset rehabilitation guidance action list according to the signal characteristics; and S13, Outputting the rehabilitation guidance action according to a preset form to guide the patient to perform rehabilitation training according to the rehabilitation guidance action.

In this embodiment, through the rehabilitation exercises guidance method in the above steps S10-S13, the corresponding rehabilitation guidance actions may be selected according to the collected electromagnetic wave signals to guide the patients to carry out rehabilitation training, which may avoid the problem that the patients can't carry out effective rehabilitation training due to limb trembling, stiffness, clumsy movements and the like, and further improve the rehabilitation training effect.

In detail, in step S11, the electromagnetic wave signals include one or more of brain wave signals and/or myoelectric wave signals; in addition, the electromagnetic wave collecting device is selected according to actual requirements; for example, the electromagnetic wave collecting device may be composed of a plurality of electric wave collecting electrodes, which may be installed on the scalp or skin of patients to collect brain wave signals or myoelectric wave signals, and for example, the electromagnetic wave collecting device may also be a wearable device capable of collecting brain waves or myoelectric waves, such as a smart helmet, a smart bracelet or smart glasses, which is not limited by this embodiment.

In step S12, the collected electromagnetic wave signals are easily interfered by other noise signals, such as eye electricity, power frequency interference, electromagnetic interference, etc.; therefore, in this embodiment, it is necessary to preprocess the received electromagnetic wave signals to remove the mixed noise and extract the collected effective brain wave signals or myoelectric wave signals as signal features. Among them, pretreatment includes the following steps: firstly, filter the electromagnetic wave signals by a band-pass filter or a low-pass filter, and then HUS01249 extract the effective brain wave or myoelectric wave signals of the patient from the filtered signal by a principal component analysis algorithm or an independent component analysis algorithm. It should be noted that the signal characteristics in the embodiment may specifically be the frequency band characteristics corresponding to the frequency bands of brain waves or myoelectric waves in the electromagnetic wave signals, and the frequency band characteristics may be the characteristics of frequency energy, power spectrum, sample entropy and approximate entropy corresponding to the effective signal frequency bands.

In addition, the preset rehabilitation guidance actions list in step S12 is saved in advance corresponding to different rehabilitation exercises according to different signal characteristics, and the rehabilitation exercises can be, but not limited to, Tai Chi Chuan or other rehabilitation exercises designed according to the actual needs of patients. In practice, according to the electromagnetic waves in the electromagnetic wave signals, the matched rehabilitation guidance actions are selected from the preset rehabilitation guidance action list.

For example, when the electromagnetic wave signals are only brain wave signals or myoelectric wave signals, the rehabilitation guidance action may be directly selected according to the extracted signal characteristics.

And for example, when the electromagnetic wave signals include brain wave signals and myoelectric wave signals, in order to give consideration to the two signals, so as to select rehabilitation guidance actions that are suitable for patients’ needs, in this embodiment, the signal characteristics may include a first signal characteristic corresponding to the brain wave signals and a second signal characteristic corresponding to the myoelectric wave signals; then, when selecting rehabilitation guidance actions, the first signal characteristic and the second signal characteristic may be summed up according to the preset weight value, and the matching rehabilitation guidance actions may be selected from the list of set rehabilitation guidance actions according to the sum result, wherein the weight values of the first signal characteristic and the second signal characteristic may be set according to HUS01249 experience values, and this embodiment is not limited here.

It can be understood that, in actual implementation, when selecting rehabilitation guidance actions, the method can be, but not limited to the above two ways.

Further, in step S13, the preset form includes one or more of voice form, video form or image form. For example, in actual implementation, the rehabilitation guidance action may be displayed to patients in the form of voice broadcast, video play or virtual reality for guiding patients to perform rehabilitation training. Understandably, forms such as voice broadcast, video play or virtual reality may make the rehabilitation guidance actions stereoscopic and vivid to the patients, thus effectively enhancing the patients’ rehabilitation interest and improving the rehabilitation effect.

Further, in this embodiment, in order to effectively know the rehabilitation effect of patients after a certain amount of rehabilitation training, and adjust and optimize the rehabilitation plan of patients according to the rehabilitation effect, as shown in FIG. 3, in this embodiment, the rehabilitation exercises guidance method may further include S14 and S15, as follows: S14, Retrieving the historical electromagnetic wave signals of the patient collected within a preset time period, and judging the change trend of the historical electromagnetic wave signals within the preset time period; and S15, judging whether the change trend meets the preset requirements, if so, judging that the rehabilitation guidance action matches the patient's condition and saving the judgment result.

In detail, the preset duration in S14 can be, but not limited to one week, two weeks or one month, and this embodiment is not limited here. It should be noted that when judging the change trend of the historical electromagnetic wave signals within a preset time period, it can be performed separately for the brain wave signals and the myoelectric wave signals in the electromagnetic wave signals, so as to obtain an accurate judgment result. In addition, the preset requirement in step S14 may be obtained through judgement of the rehabilitation doctor according to the experience and input of the judgment result, or it may be obtained through a standard value which HUS01249 is set based on the experience value obtained by big data and accords with the rehabilitation effect of the patient at the current stage, and this embodiment is not specifically limited here.

Further, according to the actual needs, in order to further verify whether the patient's symptoms have been improved, as shown in FIG. 4, in this embodiment, the rehabilitation exercises guidance method may further include S16 and S17, which are as follows: S16, Acquiring the patient's vital sign parameters collected and sent by vital sign sensors arranged on the patient's body; and S17, judging whether the difference between the physical sign parameters and the preset reference index meets the demand, if so, judging that the symptoms of the patient have been alleviated and displaying the judgment result to the patient.

Specifically, the vital sign sensors in step S16 may include, but are not limited to a blood pressure sensor for detecting blood pressure, a temperature sensor for measuring body temperature, a blood pressure measurement sensor for measuring blood pressure, a pressure sensor for detecting the relative strength of limbs, etc.; this embodiment is not limited here. In addition, the preset reference index in S17 may be historical vital sign parameters before rehabilitation training, or vital sign parameters corresponding to the current rehabilitation stage, etc.; specifically, it may be flexibly set according to parameters during actual implementation.

For example, for patients suffering from Parkinson's disease, there may be problems of leg length discrepancy (LLD), so the vital sign sensor may be a plantar pressure sensor. Comparing two pressure values detected by the plantar pressure sensors, if the difference between them is less than a preset value, it is judged that the patient's illness has been alleviated, that is, the rehabilitation training at the current stage is effective.

It should be noted that when the difference between the physical sign parameters and the preset reference indexes does not meet the demand or the physical sign parameters are poor, the judgment result shall be fed back to the medical staff for further optimizing rehabilitation training, and cannot be shown to the patient, so as to HUS01249 avoid affecting the mood of patients and further affecting the rehabilitation effect.

Furthermore, due to different diseases, for patients, there may be various problems such as limb trembling and limited mobility; therefore, in the actual rehabilitation training process, the movement may be nonstandard, further affecting the rehabilitation effect. As shown in FIG. 5, in this embodiment, the rehabilitation exercises guidance method further includes S18-S20, so as to solve the aforementioned problems, as follows: S18, Receiving the video information collected by the image acquisition device during rehabilitation training; S19, Extracting rehabilitation guidance actions included in the video information, and judging whether the rehabilitation guidance actions are abnormal; And S20, when there is an abnormality in the rehabilitation guidance action, generating and saving the correction information corresponding to the rehabilitation guidance action according to the abnormal information, as well as guiding patients during the next rehabilitation training.

It should be noted that the image acquisition device may communicate with the rehabilitation guidance terminal 10 to acquire the video of rehabilitation training under the control of the rehabilitation guidance terminal 10. In addition, the type of the image acquisition device may be selected according to actual needs, and this embodiment is not limited here.

In detail, in this embodiment, specific guidance may be provided through S18-S20 according to the actual performance and existing problems of different patients in rehabilitation training, so as to effectively improve the rehabilitation training effect.

Among them, the reason of the abnormality in S19 may be too small or too large patient's exercises intensity, too fast or too slow the frequency, nonstandard action, unfinished amount of training, etc.; this embodiment is not limited here. According to the actual demand, when judging whether the rehabilitation exercises of patients in the video information is abnormal, the process may be judged manually and then the result is input into the rehabilitation guidance terminal 10, or the process may process HUS01249 and extract the image information in the video information, and then compare the extracted information with the preset information, and if they do not match, it is judged that there is abnormality. This embodiment is not specifically limited here.

Further, referring to FIG. 6, the rehabilitation exercises guidance device 100 in the embodiment includes a signal acquisition module 110, a signal processing module 120, an action guidance module 130, a signal retrieval module 140 and a judgment module 150.

The signal acquisition module 110 is used to receive the electromagnetic wave signals of patients collected and sent by the electromagnetic wave acquisition device; in this embodiment, S11 may be executed by the signal acquisition module 110, and please refer to S11 for the specific process, which will not be repeated here.

The signal processing module 120 is used to extract the signal characteristics of the electromagnetic wave signals, and select the rehabilitation guidance actions matching the signal characteristics from the list of preset rehabilitation guidance actions according to the signal characteristics; in this embodiment, S12 may be executed by the signal processing module 120, and please refer to S12 for details, which will not be repeated here.

The action guidance module 130 is used to output the rehabilitation guidance action according to a preset form to guide the patient to perform rehabilitation training according to the rehabilitation guidance action. In this embodiment, S13 may be executed by the action guidance module 130, and please refer to S13 for details, which will not be repeated here.

The signal retrieval module 140 is used to retrieve the electromagnetic wave signals of patients collected within a preset time period and judge the change trend of the electromagnetic wave signals within the preset time period; in this embodiment, S14 may be executed by the signal retrieval module 140, and please refer to S14 for details, which will not be repeated here.

The judgment module 150 is used to judge whether the change trend meets the preset requirements, and if so, to judge that the rehabilitation guidance action matches the patient's condition and saves the judgment result. In this embodiment, S15 may be HUS01249 executed by the judgement module 150, and please refer to S15 for details, which will not be repeated here.

To sum up, the embodiment of the invention provides a guiding method and device of rehabilitation exercise; through the invention, based on the electromagnetic wave signals generated by the patients, rehabilitation guidance actions which meet the needs of patients may be selected and displayed to the patients in a certain form, so that the patients may carry out corresponding rehabilitation training according to the rehabilitation guidance actions, thereby greatly reducing the difficulty of rehabilitation training and improving the rehabilitation training effect. In the description of the present invention, the terms "setting" and "connecting" should be understood broadly, for example, they can be fixed connected, detachably connected or integrated connected, mechanically connected or electrically connected, directly connected, indirectly connected through an intermediate medium, and can be the internal communication of two elements. For ordinary technicians in the field, the specific meanings of the above terms in the present invention can be understood in specific situations.

In several embodiments of the present invention, it should be understood that the disclosed devices and methods can also be realized in other ways. The embodiments of the devices and method described above are only schematic. For example, the flow charts and block diagrams in the drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to a preset number of embodiments of the present invention. In this regard, each block in the flow chart or block diagram may represent a module, program segment or a part of the code, which contains one or a preset number of logic functions for realizing a specified function.

It should also be noted that in some alternative implementations, the functions labeled in the blocks may also occur in a different order than those labeled in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram 7501249 and/or flowchart, and the combination of blocks in the block diagram and/or flowchart, can be realized by a dedicated hardware-based system that performs specified functions or actions, or can be realized by a combination of dedicated hardware and computer instructions.

The above description is only the preferred embodiments of the present invention, and is not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and changes, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims (10)

CLAIMS LU501249

1. A method for guiding rehabilitation exercises, characterized in that the method is applied to a rehabilitation guidance terminal capable of communicating with electromagnetic wave collecting equipment and comprises the following steps: receiving electromagnetic wave signals of patients collected and sent by electromagnetic wave collecting equipment; extracting the signal characteristics of the electromagnetic wave signals, and selecting the rehabilitation guidance action matched with the signal characteristics from the preset rehabilitation guidance action list according to the signal characteristics; and outputting the rehabilitation guidance action according to a preset form to guide the patient to perform rehabilitation training according to the rehabilitation guidance action.

2. The method for guiding rehabilitation exercises according to claim 1, characterized in that the electromagnetic wave signals comprise brain wave signals and/or myoelectric wave signals.

3. The method for guiding rehabilitation exercises according to claim 2, characterized in that when the electromagnetic wave signals include brain wave signals and myoelectric wave signals, the signal characteristics include a first signal characteristic corresponding to the brain wave signals and a second signal characteristic corresponding to the myoelectric wave signal; according to the signal characteristics, the step of selecting rehabilitation guidance actions matched with the signal characteristics from the preset rehabilitation guidance actions list includes as follows: summing the first signal characteristic and the second signal characteristic according to a preset weight value, and selecting a matched rehabilitation guidance action from the preset rehabilitation guidance action list according to the summation result.

4. The method for guiding rehabilitation exercises according to claim 1, HUS01249 characterized in that the preset form includes one or more of voice form, video form or image form.

5. The method for guiding rehabilitation exercises according to claim 1, characterized by further comprising the following steps: retrieving the historical electromagnetic wave signals of the patient collected within a preset time period, and judging the change trend of the historical electromagnetic wave signals within the preset time period; and judging whether the change trend meets the preset requirements, if so, judging that the rehabilitation guidance action matches the patient's condition and saving the judgment result.

6. The method for guiding rehabilitation exercises according to claim 5, characterized in that when the change trend meets the preset demand, the method further comprises: acquiring the patient's vital sign parameters collected and sent by vital sign sensors arranged on the patient's body; and judging whether the difference between the physical sign parameters and the preset reference index meets the demand, if so, judging that the symptoms of the patient have been alleviated and displaying the judgment result to the patient.

7. The method for guiding rehabilitation exercises according to claim 1, characterized in that the rehabilitation guidance terminal may communicate with image acquisition device, and the method further comprises: receiving the video information collected by the image acquisition device during rehabilitation training; extracting rehabilitation guidance actions included in the video information, and judging whether the rehabilitation guidance actions are abnormal; and when there is an abnormality in the rehabilitation guidance action, generating and saving the correction information corresponding to the rehabilitation guidance action according to the abnormal information, as well as guiding patients during the next rehabilitation training.

8. A device for guiding rehabilitation exercises, characterized in that the device is HUS01249 applied to a rehabilitation guidance terminal capable of communicating with electromagnetic wave collecting equipment and comprises as follows: a signal acquisition module, which is used for receiving the electromagnetic wave signals of patients acquired and sent by the electromagnetic wave collecting equipment; a signal processing module, which is used for extracting the signal characteristics of the electromagnetic wave signals, and selecting the rehabilitation guidance action matched with the signal characteristics from the preset rehabilitation guidance action list according to the signal characteristics; and an action guiding module, which is used for outputting the rehabilitation guiding action according to the preset form to guide the patient to perform rehabilitation training according to the rehabilitation guiding action.

9. The device for guiding rehabilitation exercises according to claim 8, characterized in that when the electromagnetic wave signals include brain wave signals and myoelectric wave signals, the signal characteristics include a first signal characteristic corresponding to the brain wave signals and a second signal characteristic corresponding to the myoelectric wave signals; the signal processing module is also used to sum the first signal characteristic and the second signal characteristic according to the preset weight value, and select the matched rehabilitation guidance action from the rehabilitation guidance actions list according to the sum result.

10. The device for guiding rehabilitation exercises according to claim 8, characterized by further comprising: a signal retrieval module, which is used for retrieving the electromagnetic wave signals of the patients collected within a preset time period and judging the changing trend of the electromagnetic wave signals within the preset time period; and a judging module, which is used for judging whether the change trend meets the preset demand, if so, judging that the rehabilitation guidance action matches the patient's condition and saving the judgment result.