CN112870552B - Method, device, equipment and storage medium for detecting load of electric stimulation therapeutic instrument - Google Patents
Method, device, equipment and storage medium for detecting load of electric stimulation therapeutic instrument Download PDFInfo
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- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/36014—External stimulators, e.g. with patch electrodes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/36014—External stimulators, e.g. with patch electrodes
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Abstract
The invention discloses a method, a device, equipment and a storage medium for detecting loads of an electrical stimulation therapeutic instrument. Outputting detection voltage to the electrode plate attached to the treatment part to obtain detection load impedance; inputting the detected load impedance into a preset model to obtain gear adjustment parameters corresponding to the detected load impedance; determining the output voltage of the electric stimulation therapeutic instrument according to the therapeutic gear and gear adjusting parameters input by a user, and acquiring target load impedance corresponding to the output voltage; and determining the contact state of the electrode plate and the treatment part according to the difference value of the detected load impedance and the target load impedance. The problems of mismatching of human body impedance and voltage of different patients and change of contact state of the electrode plate and the treatment part in the treatment process are solved, accurate detection of human body impedance of the patients is realized, and burn of the patients in the treatment process is avoided.
Description
Technical Field
The embodiment of the invention relates to the technology of medical equipment, in particular to a method, a device, equipment and a storage medium for detecting loads of an electrical stimulation therapeutic instrument.
Background
The electrical stimulation treatment technology has been widely applied in the fields of pain treatment and muscle rehabilitation exercise, and has become more and more common in recent years. The most common problem with current electrical stimulation therapy devices during use is that the patient is burned or shocked. And the patient is burned and shocked due in part to poor contact or falling off of the electrode pads during the electrical stimulation treatment, which results in the patient being subjected to a large stimulation current at a small contact area, and the current density being too high to cause either burning or shocking.
The current common solution is to avoid the problems of burn and electric shock of a patient by detecting the contact condition of an electrode plate of the electric stimulation and a human body and turning off the electric stimulation output when the contact is poor. The contact condition of the electrode plate and the human body is detected mainly by detecting the human body impedance, and a very large human body impedance value for disconnection or an empirical value is usually set in the industry at present.
However, the human body impedance is related to many factors such as the human body part, the frequency of the electric stimulation waveform, the size of the electrode plate, the quality of the electrode plate hydrogel and the like, and human tissues are not only equivalent to resistors, but are very complex series-parallel resistance-capacitance models, so that it is difficult to quantify a human body impedance value to judge the contact condition, and an extremely large human body impedance value for disconnecting contact or an experience value is set, so that the actual human body impedance state of each patient cannot be represented when the human body impedance is used.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for detecting the load of an electrical stimulation therapeutic instrument, which are used for accurately detecting the impedance of a human body of a patient, matching proper therapeutic voltage and avoiding burn of the patient in the therapeutic process caused by the change of a contact state.
In a first aspect, an embodiment of the present invention provides a method for detecting a load of an electrical stimulation therapeutic apparatus, where the electrical stimulation therapeutic apparatus includes an electrode pad, including:
outputting detection voltage to the electrode plate attached to the treatment part to obtain detection load impedance;
inputting the detected load impedance into a preset model to obtain gear adjustment parameters corresponding to the detected load impedance;
determining the output voltage of the electric stimulation therapeutic instrument according to the therapeutic gear input by the user and the gear adjusting parameter, and acquiring the target load impedance corresponding to the output voltage;
and determining the contact state of the electrode plate and the treatment part according to the difference value of the detected load impedance and the target load impedance.
Optionally, the preset model is a neural network model.
Optionally, before the step of inputting the detected load impedance into a preset model to obtain a gear adjustment parameter corresponding to the detected load impedance, the method further includes:
respectively acquiring first test load impedance corresponding to electrode plates of the electrical stimulation therapeutic instrument in a plurality of therapeutic positions and a plurality of therapeutic gears;
changing the contact area of the electrode plate and the treatment part, and obtaining a corresponding second test load impedance;
the contact area of the electrode plate and the treatment part, the treatment gear, the corresponding first test load impedance and the second test load impedance are used as training data sets, and learning data and verification data in the training data sets are determined;
training the model by using the learning data and the verification data to obtain a preset model meeting preset conditions.
Optionally, the determining the contact state between the electrode slice and the treatment site according to the difference between the detected load impedance and the target load impedance includes:
calculating the ratio of the difference value between the detected load impedance and the target load impedance to the detected load impedance;
comparing the ratio with the magnitudes of the first threshold, the second threshold and the third threshold;
if the ratio is greater than or equal to the first threshold value, determining that the contact state of the electrode plate and the treatment part is good;
if the ratio is smaller than the first threshold value and larger than or equal to the second threshold value, determining that the contact state of the electrode plate and the treatment part is common;
if the ratio is smaller than the second threshold value and larger than or equal to the third threshold value, determining that the contact state of the electrode plate and the treatment part is poor;
and if the ratio is smaller than the third threshold value, determining that the contact state of the electrode plate and the treatment part is poor.
Optionally, after determining the contact state between the electrode slice and the treatment site according to the difference between the detected load impedance and the target load impedance, the method further includes:
judging whether the contact state is in a preset range or not;
if yes, displaying the contact state of the electrode plate and the treatment part;
if not, stopping the output of the electric stimulation therapeutic instrument and giving an alarm.
Optionally, when the detected load impedance is input into a preset model to obtain a gear adjustment parameter corresponding to the detected load impedance, the method further includes:
judging whether the detected load is larger than a first preset load or not;
if yes, acquiring gear adjustment parameters corresponding to the detection load impedance;
if not, stopping the output of the electric stimulation therapeutic instrument and giving an alarm.
Optionally, before the step of inputting the detected load impedance into a preset model to obtain a gear adjustment parameter corresponding to the detected load impedance, the method further includes:
receiving parameters input by a user, wherein the parameters comprise: electrode plate size, treatment site and treatment gear.
In a second aspect, an embodiment of the present invention further provides a load detection device of an electrical stimulation therapeutic apparatus, including:
the impedance detection module is used for outputting detection voltage to an electrode plate attached to a treatment part of the electric stimulation therapeutic instrument to obtain detection load impedance;
the self-adaptive module is used for inputting the detection load impedance into a preset model to obtain gear adjustment parameters corresponding to the detection load impedance;
the voltage output module is used for determining the output voltage of the electric stimulation therapeutic instrument according to the therapeutic gear input by the user and the gear adjustment parameter, and acquiring the target load impedance corresponding to the output voltage;
and the state determining module is used for determining the contact state of the electrode plate and the treatment part according to the difference value of the detected load impedance and the target load impedance.
In a third aspect, an embodiment of the present invention further provides an apparatus for detecting a load of an electrical stimulation therapeutic apparatus, the apparatus including:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the electrical stimulation therapy device load detection method of any of the first aspects.
In a fourth aspect, embodiments of the present invention further provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method for detecting loads of an electrical stimulation therapy apparatus according to any one of the first aspects.
According to the invention, the detection load impedance is obtained by outputting the detection voltage to the electrode plate attached to the treatment part, the detection load impedance is the corresponding load impedance when the contact state of the electrode plate and the treatment part is good, the detection load impedance is input into a preset model, the corresponding gear adjustment parameter is obtained, the output voltage is determined according to the gear adjustment parameter and the gear input by a user, the target load impedance is obtained in real time in the treatment process of a patient, the contact state of the electrode plate and the treatment part is determined according to the difference value of the detection load impedance and the target load impedance, the problem that the human body impedance of each patient using an electric stimulation treatment instrument is different and the problem that the contact state of the electrode plate and the treatment part is possibly changed in the treatment process are solved, the human body impedance of the patient is accurately detected, the effect of matching the proper treatment voltage is achieved, the contact state of the electrode plate and the treatment part is obtained in real time in the treatment process of the patient, and the patient is prevented from being burnt in the treatment process of the contact state change.
Drawings
Fig. 1 is a schematic flow chart of a method for detecting loads of an electrical stimulation therapeutic apparatus according to a first embodiment of the present invention;
fig. 2 is a flow chart of another method for detecting loads of an electrical stimulation therapeutic apparatus according to the first embodiment of the present invention;
fig. 3 is a schematic structural diagram of a load detection device of an electrical stimulation therapeutic apparatus according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a load detection device of an electrical stimulation therapeutic apparatus according to a third embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flow chart of a method for detecting loads of an electro-stimulation therapeutic apparatus according to an embodiment of the present invention, where the method may be executed by an electro-stimulation therapeutic apparatus load detection device, and specifically includes the following steps:
step 110, outputting the detection voltage to the electrode plate attached to the treatment part to obtain the detection load impedance.
Before using the electric stimulation therapeutic apparatus to perform treatment, the electrode plate of the electric stimulation therapeutic apparatus needs to be attached to the part of the patient needing to perform treatment, a treatment part is selected on the electric stimulation therapeutic apparatus, the selected treatment part corresponds to the part to which the electrode plate is attached, and the treatment part can be, for example, a shoulder, an upper arm, a waist, a joint, a shank, a sole and the like; the electric stimulation therapeutic instrument outputs the detection voltage to the electrode plate attached to the therapeutic part, so that the detection load impedance of the therapeutic part can be obtained, and the detection load impedance obtained at the moment is the corresponding load impedance when the contact state between the electrode plate and the therapeutic part is good.
And 120, inputting the detected load impedance into a preset model to obtain gear adjustment parameters corresponding to the detected load impedance.
The preset model is a neural network model, and based on an error transfer algorithm, the error of an output layer is required to be obtained through learning data and verification data, and the neural network is adjusted through error transfer of each layer, so that the output error is smaller than a preset error index.
Optionally, before step 120, training the model to obtain the preset model includes the following specific steps:
a1, respectively acquiring first test load impedance corresponding to electrode plates of an electrical stimulation therapeutic instrument in a plurality of therapeutic positions and a plurality of therapeutic gears;
a2, changing the contact area of the electrode plate and the treatment part, and obtaining a corresponding second test load impedance;
a3, taking the contact area of the electrode plate and the treatment part, the treatment gear and the corresponding first test load impedance and second test load impedance as training data sets, and determining learning data and verification data in the training data sets;
and A4, training the model by using the learning data and the verification data to obtain a preset model meeting preset conditions.
The learning data and the verification data of the neural network training are from a training data set consisting of test data of the electric stimulation therapeutic instrument on human body impedance, and specifically comprise: attaching an electrode plate to a treatment part preset by a human body, setting an electric stimulation output frequency (treatment gear) for testing, gradually increasing the output intensity (output voltage) of electric stimulation in the testing process until the feeling threshold of a patient, and obtaining a first test load impedance, wherein the measured human body impedance value corresponds to a good human body load contact state; the treatment gear is kept unchanged, the contact area of the electrode plate and the treatment part of the patient is gradually reduced, and a second test load impedance after each reduction of the contact area is obtained, so that the electric stimulation current density is increased to the tolerance threshold value of the patient, and the measured human body impedance value is extremely poor in human body load contact state. Through changing parameters such as electrode plate size, electrode plate contact area with treatment position, electric stimulation output frequency, etc., repeated experiments are carried out for multiple times, so as to obtain experimental data of electrode plate size, electrode plate contact area with treatment position, electric stimulation output frequency and human body load impedance and corresponding relation with contact state, thereby constructing training samples, wherein different contact states are divided according to the electrode plate contact area with treatment position. Training the model by using learning data, verifying the trained model by using verification data, ending training when the verification result of the verification data meets the ending condition, and storing model parameters to obtain a preset model conforming to the preset condition.
The neural network comprises an input layer, a middle layer and an output layer, wherein the input layer inputs the size of an electrode plate, a treatment part, electric stimulation output frequency and human body load impedance, the initial connection weight of the middle layer and the input layer is obtained through processing experience of electric stimulation product load detection, the nodes of the middle layer are weighted sums of the node outputs of the input layer, and an excitation function of the nodes adopts an S (Sigmoid) type function. The input of the node of the output layer is the weighted sum of the node outputs of the middle layer, the output layer and the middle layer
The initial connection weight is obtained through processing experience of the electrical stimulation product load detection. Comparing the output result of the output layer, namely the human body load contact state, with the expected output of the teacher sample, if the output result does not accord with the expected output, turning to counter-propagation, returning an error signal along the original connecting path, and modifying the weighting coefficient of each layer of neurons to enable the error signal between the output result obtained on the output layer node, namely the human body load contact state and the expected output to be minimum.
When one sample completes the adjustment of the network weighting coefficient, similar learning is performed on the other sample until the training learning of all samples is completed to obtain a preset model, and various corresponding relations among the size of the electrode plate, the contact area of the electrode plate and the treatment part, the electric stimulation output frequency, the human body load impedance and the contact state are stored in the preset model, wherein the electric stimulation output frequency corresponds to the selectable gear.
Optionally, before step 120, the method further includes receiving parameters input by a user, where the parameters include: electrode plate size, treatment site and treatment gear.
After the electric stimulation therapeutic instrument receives the parameters input by the user, the standard human body load impedance corresponding to the therapeutic part is obtained.
Inputting the obtained detection load impedance into a preset model by the electric stimulation therapeutic instrument, and obtaining corresponding gear adjustment parameters according to the detection load impedance and the standard human body load impedance; for example, if the detected load impedance is greater than the standard human body load impedance corresponding to the treatment portion in the preset model, the adjustment parameter is a forward adjustment parameter, if the detected load impedance is less than the standard human body load impedance corresponding to the treatment portion in the preset model, the adjustment parameter is a reverse adjustment parameter, and if the detected load impedance is equal to the standard human body load impedance corresponding to the treatment portion in the preset model, the adjustment parameter is 1.
Before starting the electrical stimulation treatment, a user inputs parameters according to different treatment conditions of a patient to be treated, a preset model rapidly obtains standard human body load impedance corresponding to the parameters, after inputting detection load impedance, the preset model outputs gear adjustment parameters, and the electrical stimulation treatment instrument adjusts the standard output gear according to different treatment conditions of the patient to realize personalized treatment.
And 130, determining the output voltage of the electric stimulation therapeutic instrument according to the therapeutic gear and the gear adjusting parameter input by the user, and acquiring the target load impedance corresponding to the output voltage.
The output voltage of the electric stimulation therapeutic apparatus is determined according to the gear and the gear adjusting parameter input by the user, and the output voltage is correspondingly increased if the adjusting parameter is a forward adjusting parameter and correspondingly decreased if the adjusting parameter is a reverse adjusting parameter. The output voltage is consistent with the treatment part of the patient and the human body load impedance of the patient, so that when different patients use the electric stimulation therapeutic apparatus, the electric stimulation output intensity adjusted according to the adjustment parameters is consistent with the user expectation.
When the electric stimulation therapeutic apparatus is used for treatment, the target load impedance corresponding to the output voltage is obtained in real time and is used for monitoring the state of the patient receiving treatment.
And 140, determining the contact state of the electrode plate and the treatment part according to the difference value of the detected load impedance and the target load impedance.
Comparing the detected load impedance with the target load impedance obtained in real time, and determining the change condition of the detected load impedance according to the difference value of the detected load impedance and the target load impedance, thereby determining the contact state of the electrode plate and the treatment part, and specifically comprising the following steps:
s1, calculating the ratio of the difference value to the detected load impedance.
S2, comparing the ratio with the magnitudes of the first threshold, the second threshold and the third threshold.
And S3, if the ratio is greater than or equal to a first threshold value, determining that the contact state of the electrode plate and the treatment part is good.
And S4, if the ratio is smaller than the first threshold value and larger than or equal to the second threshold value, determining that the contact state of the electrode plate and the treatment part is common.
And S5, if the ratio is smaller than the second threshold value and larger than or equal to the third threshold value, determining that the contact state of the electrode plate and the treatment part is poor.
And S6, if the ratio is smaller than a third threshold value, determining that the contact state of the electrode plate and the treatment part is poor.
Determining the change degree of the target load impedance relative to the detection load impedance according to the magnitude relation between the ratio and the first threshold, the second threshold and the third threshold, thereby determining the change of the contact state of the electrode plate and the treatment part, and reminding or displaying according to the contact state of the electrode plate and the treatment part; for example, the first threshold may be set to 80%, the second threshold may be set to 50%, and the third threshold may be set to 30%.
According to the technical scheme, the detection voltage is output to the electrode plate attached to the treatment part to obtain the detection load impedance, the detection load impedance is the corresponding load impedance when the contact state of the electrode plate and the treatment part is good, the detection load impedance is input into a preset model to obtain the corresponding gear adjustment parameter, the output voltage is determined according to the gear adjustment parameter and the gear input by a user, the target load impedance is obtained in real time in the treatment process of a patient, the contact state of the electrode plate and the treatment part is determined according to the difference value of the detection load impedance and the target load impedance, the problem that the human body impedance of each patient using an electrical stimulation treatment instrument is different and the problem that the contact state of the electrode plate and the treatment part possibly exists in the treatment process is solved, the human body impedance of the patient is accurately detected, the effect of matching the proper treatment voltage is achieved, the load impedance is detected in real time in the treatment process of the patient, and the contact state of the electrode plate and the treatment part is prevented from being burnt in the treatment process caused by the change of the contact state.
As shown in fig. 2, based on the above technical solution, the method for detecting the load of the electrical stimulation therapeutic apparatus includes the following specific steps:
step 110, outputting the detection voltage to the electrode plate attached to the treatment part to obtain the detection load impedance.
And 120, inputting the detected load impedance into a preset model to obtain gear adjustment parameters corresponding to the detected load impedance.
And 130, determining the output voltage of the electric stimulation therapeutic instrument according to the therapeutic gear and the gear adjusting parameter input by the user, and acquiring the target load impedance corresponding to the output voltage.
And 140, determining the contact state of the electrode plate and the treatment part according to the difference value of the detected load impedance and the target load impedance.
Step 150, judging whether the contact state is in a preset range; if yes, go to step 160, if no, go to step 170.
Step 160, displaying the contact state of the electrode sheet and the treatment part.
And 170, stopping the output of the electric stimulation therapeutic instrument and giving an alarm.
When the contact state of the electrode plate and the treatment part is in a preset range, the electric stimulation therapeutic instrument is safe and reliable for treating the patient, and when the contact state of the electrode plate and the treatment part is not in the preset range, the treatment part of the patient has obvious pain or is burnt. For example, when the contact state is good contact and general contact, the electric stimulation therapeutic apparatus can safely and reliably treat the patient, at this time, only the contact state is displayed on the display screen of the electric stimulation therapeutic apparatus, and the user can adjust the electric stimulation therapeutic apparatus according to the display; when the contact state is poor, the patient may feel uncomfortable, and at the moment, the contact state is displayed on a display screen of the electric stimulation therapeutic instrument and alarm reminding is carried out; when the contact state is the poor contact, if the patient continues to treat, the patient has obvious pain or is burnt, at the moment, the contact state is displayed on the display screen of the electric stimulation therapeutic instrument, the output of the electric stimulation therapeutic instrument is stopped, and an alarm is given.
In the treatment process, when the electrode plate shifts or falls off, the electric stimulation therapeutic instrument reminds and cuts off the power supply in time, so that the use safety of a patient is improved.
Based on the above technical solution, optionally, step 120 further includes the following specific steps:
step 121, judging whether the detected load impedance is larger than a first preset load impedance; if yes, go to step 121, if no, go to step 122.
Step 121, obtaining a gear adjustment parameter corresponding to the detected load impedance.
And 122, stopping outputting the electric stimulation therapeutic instrument and giving an alarm.
Before gear adjustment parameters are obtained according to the detection load impedance, firstly judging the input detection load impedance, if the input detection load impedance is smaller than a first preset load impedance, the conditions of nonstandard electrode slice attachment, electrode slice aging and the like possibly exist, stopping the output of the electric stimulation therapeutic instrument, giving an alarm, and reminding a user to check the electrode slice; if the detected load impedance is larger than the first preset load impedance, continuing the subsequent operation.
Example two
Fig. 3 is a schematic structural diagram of a load detection device of an electrical stimulation therapeutic apparatus according to a second embodiment of the present invention; as shown in fig. 3, an electrical stimulation therapy apparatus load detection device includes:
the impedance detection module 310 is configured to output a detection voltage to an electrode pad attached to a treatment portion of the electrical stimulation therapeutic apparatus, so as to obtain a detection load impedance.
Before using the electric stimulation therapeutic apparatus to treat, the electrode plate is required to be attached to the part of the patient to be treated, the electric stimulation therapeutic apparatus is used for selecting the treatment part, the selected treatment part corresponds to the part to which the electrode plate is attached, and the treatment part can be exemplified by shoulder, upper arm, waist, joint, lower leg, sole and the like; the electric stimulation therapeutic instrument outputs the detection voltage to the electrode plate attached to the therapeutic part, so that the detection load impedance of the therapeutic part can be obtained, and the detection load impedance obtained at the moment is the corresponding load impedance when the contact state between the electrode plate and the therapeutic part is good.
The adaptive module 320 is configured to input the detected load impedance into a preset model, and obtain a gear adjustment parameter corresponding to the detected load impedance.
Inputting the obtained detection load impedance into a preset model by the electric stimulation therapeutic instrument, and obtaining corresponding gear adjustment parameters according to the detection load impedance and the human body load impedance corresponding to the therapeutic part; for example, if the detected load impedance is greater than the human body load impedance corresponding to the treatment portion in the preset model, the adjustment parameter is a forward adjustment parameter, if the detected load impedance is less than the human body load impedance corresponding to the treatment portion in the preset model, the adjustment parameter is a reverse adjustment parameter, and if the detected load impedance is equal to the human body load impedance corresponding to the treatment portion in the preset model, the adjustment parameter is 1.
The voltage output module 330 is configured to determine an output voltage of the electrical stimulation therapy apparatus according to the therapy gear and the gear adjustment parameter input by the user, and obtain a target load impedance corresponding to the output voltage.
The output voltage of the electric stimulation therapeutic apparatus is determined according to the gear and the gear adjusting parameter input by the user, and the output voltage is correspondingly increased if the adjusting parameter is a forward adjusting parameter and correspondingly decreased if the adjusting parameter is a reverse adjusting parameter. The output voltage is consistent with the treatment part of the patient and the human body load impedance of the patient, so that when different patients use the electric stimulation therapeutic apparatus, the electric stimulation output intensity adjusted according to the adjustment parameters is consistent with the user expectation. When the electric stimulation therapeutic apparatus is used for treatment, the target load impedance corresponding to the output voltage is obtained in real time and is used for monitoring the state of the patient receiving treatment.
The state determining module 340 is configured to determine a contact state between the electrode pad and the treatment site according to a difference between the detected load impedance and the target load impedance.
And comparing the target load impedance with the detection load impedance obtained in real time, and determining the change condition of the detection load impedance according to the difference value of the target load impedance and the detection load impedance, so as to determine the contact state of the electrode plate and the treatment part, and reminding or displaying according to the contact state of the electrode plate and the treatment part.
According to the technical scheme, the detection voltage is output to the electrode plate attached to the treatment part to obtain the detection load impedance, the detection load impedance is the corresponding load impedance when the contact state of the electrode plate and the treatment part is good, the detection load impedance is input into a preset model to obtain the corresponding gear adjustment parameter, the output voltage is determined according to the gear adjustment parameter and the gear input by a user, the target load impedance is obtained in real time in the treatment process of a patient, the contact state of the electrode plate and the treatment part is determined according to the difference value of the detection load impedance and the target load impedance, the problem that the human body impedance of each patient using an electrical stimulation treatment instrument is different and the problem that the contact state of the electrode plate and the treatment part possibly exists in the treatment process is solved, the human body impedance of the patient is accurately detected, the effect of matching the proper treatment voltage is achieved, the load impedance is detected in real time in the treatment process of the patient, and the contact state of the electrode plate and the treatment part is prevented from being burnt in the treatment process caused by the change of the contact state.
The load detection device of the electrical stimulation therapeutic apparatus provided by the embodiment of the invention can execute the load detection method of the electrical stimulation therapeutic apparatus provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example III
Fig. 4 is a schematic structural diagram of an apparatus for detecting loads of an electrical stimulation therapeutic apparatus according to a third embodiment of the present invention, as shown in fig. 4, the apparatus includes a processor 40, a memory 41, an input device 42 and an output device 43; the number of processors 40 in the device may be one or more, one processor 40 being taken as an example in fig. 4; the processor 40, the memory 41, the input means 42 and the output means 43 in the device may be connected by a bus or other means, in fig. 4 by way of example.
The memory 41 is used as a computer readable storage medium for storing software programs, computer executable programs and modules, such as program instructions/modules corresponding to the method for detecting the load of the electro-stimulation therapeutic apparatus in the embodiment of the present invention (for example, the impedance detection module 310, the adaptation module 320, the voltage output module 330 and the state determination module 340 in the apparatus for detecting the load of the electro-stimulation therapeutic apparatus). The processor 40 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 41, i.e., implements the above-described electrical stimulation therapy apparatus load detection method.
The memory 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for functions; the storage data area may store data created according to the use of the terminal, etc. In addition, memory 41 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, memory 41 may further include memory located remotely from processor 40, which may be connected to the device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 42 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the device. The output means 43 may comprise a display device such as a display screen.
Example IV
A fourth embodiment of the present invention also provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are for performing a method of electrical stimulation therapy apparatus load detection, the method comprising:
outputting detection voltage to an electrode slice attached to the treatment part to obtain detection load impedance;
inputting the detected load impedance into a preset model to obtain gear adjustment parameters corresponding to the detected load impedance;
determining the output voltage of the electric stimulation therapeutic instrument according to the therapeutic gear and gear adjusting parameters input by a user, and acquiring target load impedance corresponding to the output voltage;
and determining the contact state of the electrode plate and the treatment part according to the difference value of the detected load impedance and the target load impedance.
Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present invention is not limited to the method operations described above, and may also perform the related operations in the electrical stimulation therapy apparatus load detection method provided in any embodiment of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above-mentioned electrical stimulation therapeutic apparatus load detection device, each unit and module included are only divided according to the functional logic, but not limited to the above-mentioned division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (6)
1. A method for detecting a load of an electro-stimulation therapeutic apparatus, the electro-stimulation therapeutic apparatus including an electrode pad, comprising:
outputting detection voltage to the electrode plate attached to the treatment part to obtain detection load impedance;
inputting the detected load impedance into a preset model to obtain gear adjustment parameters corresponding to the detected load impedance;
determining the output voltage of the electric stimulation therapeutic instrument according to the therapeutic gear input by the user and the gear adjusting parameter, and acquiring the target load impedance corresponding to the output voltage;
determining the contact state of the electrode plate and the treatment part according to the difference value of the detected load impedance and the target load impedance;
before the detected load impedance is input into a preset model to obtain the gear adjustment parameter corresponding to the detected load impedance, the method further comprises the following steps:
receiving parameters input by a user, wherein the parameters comprise: electrode plate size, treatment site and treatment gear;
the preset model rapidly obtains the standard human body load impedance corresponding to the parameters;
inputting the detected load impedance into a preset model, and obtaining corresponding gear adjustment parameters according to the detected load impedance and the standard human body load impedance;
the preset model is a neural network model, learning data and verification data of the neural network training are from a training data set consisting of test data of the electric stimulation therapeutic instrument on human body impedance, and the training data set specifically comprises: attaching an electrode plate to a treatment part preset by a human body, setting an electric stimulation output frequency for testing, gradually increasing the output intensity of electric stimulation in the testing process until the feeling threshold of a patient, and obtaining a first test load impedance, wherein the measured human body impedance value is good in human body load contact state; the treatment gear is kept unchanged, the contact area of the electrode plate and the treatment part of the patient is gradually reduced, and a second test load impedance after each reduction of the contact area is obtained, so that the electric stimulation current density is increased to the tolerance threshold of the patient, and the measured human body impedance value is extremely poor in human body load contact state; repeatedly performing experiments for a plurality of times by changing the size of the electrode plate, the contact area of the electrode plate and the treatment part, the treatment part and the electric stimulation output frequency parameter, so as to obtain experimental data of the size of the electrode plate, the contact area of the electrode plate and the treatment part, the electric stimulation output frequency and the human body load impedance and the corresponding relation with the contact state, thereby constructing a training sample, wherein different contact states are divided according to the contact area of the electrode plate and the treatment part; training the model by using learning data, verifying the trained model by using verification data, ending training when the verification result of the verification data meets the ending condition, and storing model parameters to obtain a preset model conforming to the preset condition.
2. The method according to claim 1, further comprising, after determining a contact state of the electrode pad and a treatment site based on a difference between the detected load impedance and the target load impedance:
judging whether the contact state is in a preset range or not;
if yes, displaying the contact state of the electrode plate and the treatment part;
if not, stopping the output of the electric stimulation therapeutic instrument and giving an alarm.
3. The method according to claim 1, wherein when the detected load impedance is inputted into a preset model to obtain a gear adjustment parameter corresponding to the detected load impedance, the method further comprises:
judging whether the detected load impedance is larger than a first preset load impedance or not;
if yes, acquiring gear adjustment parameters corresponding to the detection load impedance;
if not, stopping the output of the electric stimulation therapeutic instrument and giving an alarm.
4. An electrical stimulation therapy apparatus load detection device, comprising:
the impedance detection module is used for outputting detection voltage to an electrode plate attached to a treatment part of the electric stimulation therapeutic instrument to obtain detection load impedance;
the self-adaptive module is used for inputting the detection load impedance into a preset model to obtain gear adjustment parameters corresponding to the detection load impedance;
the voltage output module is used for determining the output voltage of the electric stimulation therapeutic instrument according to the therapeutic gear input by the user and the gear adjustment parameter, and acquiring the target load impedance corresponding to the output voltage;
the state determining module is used for determining the contact state of the electrode plate and the treatment part according to the difference value of the detected load impedance and the target load impedance;
the method further comprises the steps of:
receiving parameters input by a user, wherein the parameters comprise: electrode plate size, treatment site and treatment gear;
the preset model rapidly obtains the standard human body load impedance corresponding to the parameters;
inputting the detected load impedance into a preset model, and obtaining corresponding gear adjustment parameters according to the detected load impedance and the standard human body load impedance;
the preset model is a neural network model, learning data and verification data of the neural network training are from a training data set consisting of test data of the electric stimulation therapeutic instrument on human body impedance, and the training data set specifically comprises: attaching an electrode plate to a treatment part preset by a human body, setting an electric stimulation output frequency for testing, gradually increasing the output intensity of electric stimulation in the testing process until the feeling threshold of a patient, and obtaining a first test load impedance, wherein the measured human body impedance value is good in human body load contact state; the treatment gear is kept unchanged, the contact area of the electrode plate and the treatment part of the patient is gradually reduced, and a second test load impedance after each reduction of the contact area is obtained, so that the electric stimulation current density is increased to the tolerance threshold of the patient, and the measured human body impedance value is extremely poor in human body load contact state; repeatedly performing experiments for a plurality of times by changing the size of the electrode plate, the contact area of the electrode plate and the treatment part, the treatment part and the electric stimulation output frequency parameter, so as to obtain experimental data of the size of the electrode plate, the contact area of the electrode plate and the treatment part, the electric stimulation output frequency and the human body load impedance and the corresponding relation with the contact state, thereby constructing a training sample, wherein different contact states are divided according to the contact area of the electrode plate and the treatment part; training the model by using learning data, verifying the trained model by using verification data, ending training when the verification result of the verification data meets the ending condition, and storing model parameters to obtain a preset model conforming to the preset condition.
5. An electrical stimulation therapy apparatus load detection device, the device comprising:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the electrical stimulation therapy device load detection method of any of claims 1-3.
6. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the electrical stimulation therapy apparatus load detection method as claimed in any one of claims 1-3.
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