CN112827063B - Method and device for processing myoelectric stimulation current data - Google Patents

Method and device for processing myoelectric stimulation current data Download PDF

Info

Publication number
CN112827063B
CN112827063B CN202110028689.9A CN202110028689A CN112827063B CN 112827063 B CN112827063 B CN 112827063B CN 202110028689 A CN202110028689 A CN 202110028689A CN 112827063 B CN112827063 B CN 112827063B
Authority
CN
China
Prior art keywords
data
myoelectric
stimulation current
voltage
electromyographic
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110028689.9A
Other languages
Chinese (zh)
Other versions
CN112827063A (en
Inventor
黄北勇
江文彦
史天丰
朱政榕
梁恺
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SHENZHEN CREATIVE INDUSTRY CO LTD
Original Assignee
SHENZHEN CREATIVE INDUSTRY CO LTD
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SHENZHEN CREATIVE INDUSTRY CO LTD filed Critical SHENZHEN CREATIVE INDUSTRY CO LTD
Priority to CN202110028689.9A priority Critical patent/CN112827063B/en
Publication of CN112827063A publication Critical patent/CN112827063A/en
Application granted granted Critical
Publication of CN112827063B publication Critical patent/CN112827063B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • A61N1/3603—Control systems

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Electrotherapy Devices (AREA)

Abstract

The embodiment of the invention relates to a method and a device for processing electromyographic stimulation current data, wherein the method comprises the following steps: acquiring first processing mode data; when the first processing mode data is a synchronous following mode, acquiring first electromyographic voltage data; calculating myoelectric stimulation current to generate first myoelectric stimulation current data, and performing myoelectric stimulation according to the data; when the first processing mode data is an asynchronous timing following mode, acquiring a plurality of second myoelectric voltage data; calculating myoelectric stimulation current to generate a plurality of second myoelectric stimulation current data, and performing myoelectric stimulation; when the first processing mode data is an asynchronous motion following mode, acquiring a plurality of groups of first data groups and generating a first corresponding relation table; inquiring a first corresponding relation table according to the obtained second action acceleration data, and generating third myoelectric stimulation current data according to an inquiry result; and a third myoelectrical stimulation is performed. The embodiment of the invention can reduce the dependence of the rehabilitation people on human factors, shorten the rehabilitation progress and improve the rehabilitation efficiency.

Description

Method and device for processing myoelectric stimulation current data
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for processing myoelectric stimulation current data.
Background
The muscle contraction can generate weak action potential, which is called myoelectric voltage, and the electrode patch is attached to the proper position of the skin to measure the myoelectric voltage of the muscle on the surface of the body. The myoelectric voltage is often used as a reference value for muscle function detection in the field of medical rehabilitation applications to determine the functional states of the peripheral nerves, neurons, neuromuscular junctions and muscles themselves. When the muscle tissue of people is in failure due to long-term inactivity, operation or external injury, the myoelectric stimulation technology can be used for helping the muscle tissue to perform function reconstruction. The myoelectricity stimulating technology is to stimulate one or several groups of muscles with low frequency pulse current in certain strength to induce muscle motion or simulate normal autonomous motion, so as to improve or restore the stimulated muscle or muscle group function.
In a traditional limb muscle rehabilitation scene, the myoelectricity voltage detection device and the myoelectricity stimulation device are two sets of separated independent devices. People can use myoelectric voltage detection equipment to detect myoelectric voltage of limbs on the normal side, then use myoelectric stimulation equipment to convert the detected myoelectric voltage into myoelectric stimulation current, and then carry out current stimulation operation on the limbs on the abnormal side according to the converted myoelectric stimulation current. Such a working method has problems, for example, that the output current of the myoelectric stimulation device can be adjusted only by the working experience of the rehabilitation technician without the myoelectric voltage detection device, which makes the rehabilitation efficiency of the rehabilitee uncontrollable due to excessive dependence on human factors; for another example, there is no linkage mechanism between the myoelectric voltage detection device and the myoelectric stimulation device, so that the rehabilitation person must switch between the two sets of devices back and forth, the muscle burden of the rehabilitation person is increased, and the rehabilitation progress is lengthened.
Disclosure of Invention
The invention aims to provide a method, a device, electronic equipment, a computer program product and a computer readable storage medium for processing electromyographic stimulation current data, which integrate the electromyographic voltage and action acceleration information acquisition and electromyographic stimulation operation of muscles, acquire the electromyographic voltage and action acceleration data of normal side muscle tissues through a control end, acquire the action acceleration data of abnormal side muscle tissues through a controlled end and perform electromyographic stimulation on the abnormal side muscle tissues, and complete linkage processing on the control end and the controlled end through configuring a processing end, so that the excessive dependence of a rehabilitee on human factors can be reduced, the muscle burden of the rehabilitee can be relieved, the rehabilitative progress is shortened, and the rehabilitative efficiency is improved.
In order to achieve the above object, a first aspect of embodiments of the present invention provides a method for processing electromyographic stimulation current data, the method including:
a configuration processing end acquires first processing mode data;
when the first processing mode data is a synchronous following mode, acquiring first electromyographic voltage data acquired by a control end at a first muscle position; calculating myoelectric stimulation current according to the first myoelectric voltage data to generate corresponding first myoelectric stimulation current data; according to the first myoelectric stimulation current data, first myoelectric stimulation processing is carried out on the first two muscle positions corresponding to the first muscle positions through a controlled end;
when the first processing mode data is an asynchronous timing following mode, acquiring a plurality of second myoelectric voltage data which are continuously acquired by the control end at a second muscle position by taking preset asynchronous delay time length data as fixed acquisition time length; calculating myoelectric stimulation current according to each second myoelectric voltage data to generate corresponding second myoelectric stimulation current data; according to all the second myoelectric stimulation current data, second myoelectric stimulation processing is carried out on a second muscle position corresponding to the second muscle position through the controlled end;
when the first processing mode data is in an asynchronous motion following mode, acquiring multiple groups of third electromyographic voltage data and corresponding first motion acceleration data which are acquired by the control end at a third muscle position, and forming corresponding first data groups by each third electromyographic voltage data and the corresponding first motion acceleration data; according to the plurality of first data groups, calculating the corresponding relation between the first electromyographic voltage and the acceleration characteristic to generate a first corresponding relation table; second motion acceleration data acquired by the controlled end at a third muscle position corresponding to the third muscle position are acquired; inquiring the first corresponding relation table according to the second action acceleration data to generate corresponding fourth electromyographic voltage data; calculating myoelectric stimulation current according to the fourth myoelectric voltage data to generate corresponding third myoelectric stimulation current data; and carrying out third myoelectric stimulation treatment on the third muscle position through the controlled end according to the third myoelectric stimulation current data.
Preferably, the electromyographic stimulation current calculation processing specifically includes:
taking the input first electromyographic voltage data, the second electromyographic voltage data or the fourth electromyographic voltage data as first voltage data;
generating first current data according to the first voltage data and a formula, wherein the first current data is first voltage data A + B; a is a preset gain coefficient, and B is a preset compensation coefficient;
and outputting the first current data as the first myoelectric stimulation current data corresponding to the first myoelectric voltage data, or as the second myoelectric stimulation current data corresponding to the second myoelectric voltage data, or as the third myoelectric stimulation current data corresponding to the fourth myoelectric voltage data.
Preferably, the performing, according to all the second electromyographic stimulation current data, a second electromyographic stimulation treatment on a second muscle position corresponding to the second muscle position through the controlled end specifically includes:
sequentially extracting the second myoelectric stimulation current data from all the second myoelectric stimulation current data according to time sequence to generate first current myoelectric stimulation current data; and performing myoelectric stimulation treatment on the second muscle position through the controlled end according to the first current myoelectric stimulation current data.
Preferably, the first and second liquid crystal materials are,
the first correspondence table includes a plurality of first correspondence records; the first correspondence record includes a first acceleration field and a first myoelectric voltage field.
Preferably, the querying the first corresponding relation table according to the second motion acceleration data to generate corresponding fourth emg voltage data specifically includes:
polling all the first corresponding relation records of the first corresponding relation table; when the first acceleration field recorded by the polled first corresponding relation is matched with the second action acceleration data, extracting the first myoelectric voltage field recorded by the polled first corresponding relation as the fourth myoelectric voltage data.
A second aspect of an embodiment of the present invention provides an apparatus for processing electromyographic stimulation current data, the apparatus including: configuring a processing terminal, a control terminal and a controlled terminal;
the configuration processing end comprises a first human-computer interaction module and a first operation processing module; the first operation processing module is respectively connected with the first human-computer interaction module, the control end and the controlled end;
the first human-computer interaction module is used for acquiring first processing mode data input by a rehabilitee; sending the first processing mode data to the first operation processing module;
the first operation processing module is used for acquiring first processing mode data from the first human-computer interaction module; when the first processing mode data is a synchronous following mode, first electromyographic voltage data collected at a first muscle position is obtained through the control end; calculating myoelectric stimulation current according to the first myoelectric voltage data to generate corresponding first myoelectric stimulation current data; according to the first myoelectric stimulation current data, first myoelectric stimulation processing is carried out on the first two muscle positions corresponding to the first muscle positions through the controlled end;
the first operation processing module is further used for acquiring a plurality of second electromyogram voltage data which are continuously acquired at a second muscle position by using preset asynchronous delay duration data as fixed acquisition duration through the control terminal when the first processing mode data are in an asynchronous timing following mode; calculating myoelectric stimulation current according to each second myoelectric voltage data to generate corresponding second myoelectric stimulation current data; according to all the second myoelectric stimulation current data, second myoelectric stimulation processing is carried out on a second muscle position corresponding to the second muscle position through the controlled end;
the first operation processing module is further used for acquiring multiple groups of third myoelectric voltage data and corresponding first action acceleration data at a third muscle position through the control end when the first processing mode data is an asynchronous action following mode, and forming corresponding first data groups by each third myoelectric voltage data and the corresponding first action acceleration data; according to the plurality of first data groups, calculating the corresponding relation between the first electromyographic voltage and the acceleration characteristic to generate a first corresponding relation table; acquiring second action acceleration data acquired at a third muscle position corresponding to the third muscle position through the controlled end; inquiring the first corresponding relation table according to the second action acceleration data to generate corresponding fourth electromyographic voltage data; calculating myoelectric stimulation current according to the fourth myoelectric voltage data to generate corresponding third myoelectric stimulation current data; according to the third myoelectric stimulation current data, third myoelectric stimulation processing is carried out on the third muscle position through the controlled end;
the control end comprises a first myoelectricity acquisition module and a first acceleration acquisition module; the first myoelectric acquisition module and the first acceleration acquisition module are respectively connected with the first operation processing module;
the first myoelectric acquisition module is used for acquiring myoelectric voltage data in real time at the first muscle position through an electrode patch to generate the first myoelectric voltage data; the first electromyographic voltage data is sent to the first operation processing module;
the first myoelectric acquisition module is further used for acquiring myoelectric voltage data at the second muscle position through an electrode patch according to a preset first acquisition frequency by taking the asynchronous delay time data as a fixed acquisition time to generate a plurality of second myoelectric voltage data; sending the plurality of second electromyographic voltage data to the first operation processing module;
the first myoelectric acquisition module is further used for acquiring myoelectric voltage data at the third muscle position through an electrode patch according to a preset second acquisition frequency to generate a plurality of third myoelectric voltage data; sending a plurality of third myoelectric voltage data to the first operation processing module;
the first acceleration acquisition module is used for acquiring motion acceleration data at the third muscle position according to the second acquisition frequency to generate a plurality of first motion acceleration data; sending a plurality of first motion acceleration data to the first operation processing module;
the controlled end comprises a first myoelectric stimulation module and a second acceleration acquisition module; the first myoelectric stimulation module and the second acceleration acquisition module are respectively connected with the first operation processing module;
the first myoelectric stimulation module is used for receiving the first myoelectric stimulation current data sent by the first operation processing module; modulating output current according to the first myoelectric stimulation current data to obtain first output current; myoelectric stimulation is carried out on the first two muscle positions by using the first output current through an electrode patch;
the first myoelectric stimulation module is further used for receiving the second myoelectric stimulation current data sent by the first operation processing module; modulating output current according to the second myoelectricity stimulation current data to obtain second output current; myoelectric stimulation is carried out on the second muscle position through the electrode patch by using the second output current;
the first myoelectric stimulation module is further configured to receive the third myoelectric stimulation current data sent by the first operation processing module; modulating output current according to the third myoelectric stimulation current data to obtain third output current; myoelectric stimulation is carried out on the third muscle position through the electrode patch by using the second output current;
the second acceleration acquisition module is used for acquiring real-time action acceleration data at the third muscle position to generate second action acceleration data; and sending the second motion acceleration data to the first operation processing module.
A third aspect of an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a transceiver;
the processor is configured to be coupled to the memory, read and execute instructions in the memory, so as to implement the method steps of the first aspect;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
A fourth aspect of embodiments of the present invention provides a computer program product comprising computer program code which, when executed by a computer, causes the computer to perform the method of the first aspect.
A fifth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
The electromyographic stimulation current data processing method, the electromyographic stimulation current data processing device, the electronic equipment, the computer program product and the computer readable storage medium combine the electromyographic voltage and action acceleration information acquisition and the electromyographic stimulation operation of muscles into a whole, acquire the electromyographic voltage and action acceleration data of normal side muscle tissues through a control end, acquire the action acceleration data of abnormal side muscle tissues through a controlled end and perform electromyographic stimulation on the abnormal side muscle tissues, and complete the linkage processing of the control end and the controlled end through configuring a processing end; therefore, the excessive dependence of the rehabilitation person on human factors is reduced, the muscle burden of the rehabilitation person is also reduced, the rehabilitation progress is shortened, and the rehabilitation efficiency is improved.
Drawings
Fig. 1 is a schematic diagram of a processing method of electromyographic stimulation current data according to a first embodiment of the present invention;
fig. 2 is a block diagram of a myoelectric stimulation current data processing apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention combines the electromyographic voltage and action acceleration information acquisition and the electromyographic stimulation operation of muscles into a whole, acquires the electromyographic voltage and action acceleration data of normal side muscle tissues through a control end, acquires the action acceleration data of abnormal side muscle tissues through a controlled end and performs electromyographic stimulation on the abnormal side muscle tissues, completes the linkage processing on the control end and the controlled end through a configuration processing end, and performs the linkage processing on the control end and the controlled end about the configuration processing end, as shown in a schematic diagram of a processing method of electromyographic stimulation current data provided by the embodiment of the invention in figure 1, the method mainly comprises the following steps:
step 1, a configuration processing end obtains first processing mode data.
Here, the embodiment of the present invention provides three kinds of linkage operation modes: the device comprises a synchronous following mode, an asynchronous timing following mode and an asynchronous action following mode, wherein a configuration processing end is provided with a human-computer interaction module, a rehabilitee selects a linkage working mode through the human-computer interaction module, and the selected result is first processing mode data.
Step 2, when the first processing mode data is a synchronous following mode, acquiring first electromyographic voltage data acquired by the control end at a first muscle position; calculating myoelectric stimulation current according to the first myoelectric voltage data to generate corresponding first myoelectric stimulation current data; according to the first myoelectric stimulation current data, first myoelectric stimulation processing is carried out on the first two muscle positions corresponding to the first muscle positions through the controlled end;
the myoelectric stimulation current calculation processing is performed according to the first myoelectric voltage data to generate corresponding first myoelectric stimulation current data, and the myoelectric stimulation current calculation processing specifically includes: taking the input first electromyographic voltage data as first voltage data; generating first current data according to the first voltage data and a formula, wherein the first current data is first voltage data A + B, and A is a preset gain coefficient and B is a preset compensation coefficient; and outputting the first current data as first myoelectric stimulation current data corresponding to the first myoelectric voltage data.
Here, the operation mode of the processing terminal is configured to be a synchronous follow mode, which is generally used for rehabilitation of upper limb muscles, and the use of this mode is premised on that both upper limbs are healthy and that one of the muscles is functioning normally, for example, a rehabilitee's left upper limb brachiocephalic muscle is failing, but the right upper limb brachiocephalic muscle is functioning normally; in this mode, the control end is mounted in a normal lateral muscle position of the rehabilitative apparatus, such as the right upper arm triceps brachii, and the controlled end is mounted in an abnormal lateral muscle position of the rehabilitative apparatus, such as the left upper arm triceps brachii; in the mode, the configuration processing end obtains real-time myoelectric voltage of the brachial triceps muscle of the right upper limb, namely first myoelectric voltage data, performs myoelectric stimulation current conversion on the real-time myoelectric voltage data to obtain real-time muscle stimulation current data, namely first myoelectric stimulation current data, and performs current stimulation on the brachial triceps muscle of the left upper limb through the controlled end, so that the aim of synchronously training abnormal muscles driven by normal muscles is fulfilled.
When the control end is installed, a plurality of electrode patches can be pasted on muscle tissues, each electrode patch corresponds to one muscle position, namely a first muscle position, the myoelectric voltage data acquired by the control end through each electrode patch is also namely first myoelectric voltage data, and the unit of the voltage data is microvolt muV; similarly, when the controlled end is installed, the muscle tissue is subjected to current stimulation by adhering a plurality of electrode patches to the muscle tissue, and it should be noted that the installation position of the controlled end electrode patch, namely the first and second muscle positions, and the control end electrode patch position, namely the first muscle position, are in bilateral symmetry with each other.
Here, when calculating the myoelectric stimulation current, the first myoelectric stimulation current data obtained for each first muscle position is calculated, and the first myoelectric stimulation current data is first myoelectric voltage data a + B, and the first myoelectric stimulation current data is a current value of the stimulation current released at the first and second muscle positions, and the unit of the current data is microampere μ a; when in rehabilitation, if the rehabilitee feels that the current of the first myoelectricity stimulation current data is insufficient or too large, the current can be finely adjusted by adjusting a gain coefficient A through a human-computer interaction module at the configuration processing end.
Step 3, when the first processing mode data is an asynchronous timing following mode, acquiring a plurality of second electromyographic voltage data which are continuously acquired by the control end at a second muscle position by taking preset asynchronous delay time length data as fixed acquisition time length; calculating myoelectric stimulation current according to each second myoelectric voltage data to generate corresponding second myoelectric stimulation current data; according to all the second myoelectric stimulation current data, second myoelectric stimulation processing is carried out on a second muscle position corresponding to the second muscle position through the controlled end;
according to each second myoelectric voltage data, myoelectric stimulation current calculation processing is performed to generate corresponding second myoelectric stimulation current data, and the method specifically comprises the following steps: taking the input second myoelectric voltage data as first voltage data; generating first current data according to the first voltage data and a formula, wherein the first current data is first voltage data A + B; outputting the first current data as second myoelectric stimulation current data corresponding to the second myoelectric voltage data;
according to all the second myoelectric stimulation current data, second myoelectric stimulation processing is carried out on a second muscle position corresponding to the second muscle position through the controlled end, and the method specifically comprises the following steps: sequentially extracting second myoelectric stimulation current data from all the second myoelectric stimulation current data according to time sequence to generate first current myoelectric stimulation current data; and performing myoelectric stimulation treatment to a second muscle position through the controlled end according to the first current myoelectric stimulation current data.
Here, the working mode of the processing end is configured to be an asynchronous timing following mode, which can be used for rehabilitation of upper limbs or lower limbs, and mainly carries out rehabilitation treatment of alternate left and right activities with a fixed time difference, and the use of the mode is premised on that the upper limbs or the lower limbs on both sides are healthy and muscle function on one side is normal, for example, muscle function of the triceps brachii muscle of the left upper limb of a rehabilitative person is declined, but muscle function of the triceps brachii muscle of the right upper limb is normal; in this mode, the control end is mounted in a normal lateral muscle position of the rehabilitative apparatus, such as the right upper arm triceps brachii, and the controlled end is mounted in an abnormal lateral muscle position of the rehabilitative apparatus, such as the left upper arm triceps brachii; in the mode, a configuration processing end firstly obtains myoelectric voltages of a group of continuous actions of the triceps brachii of the right upper limb through a control end, the duration of the continuous actions is fixed duration, namely preset asynchronous delay duration data, and the continuous actions can generate a plurality of myoelectric voltages, namely a plurality of second myoelectric voltage data; then carrying out myoelectricity stimulation current conversion on each myoelectricity voltage to obtain a plurality of myoelectricity stimulation current data, namely a plurality of second myoelectricity stimulation current data; and then, sequentially using second myoelectric stimulation current data at different time points in time, and carrying out current stimulation on the triceps brachii muscle of the left upper limb through the controlled end so as to achieve the aim of driving abnormal muscles to carry out alternate action training by normal muscles.
Here, the calculation process of the second myoelectric stimulation current data is consistent with the calculation process of the first myoelectric stimulation current data in step 2, and the installation of the control terminal and the controlled terminal electrode patch is also consistent with the installation requirement in step 2, which is not further described herein.
Here, when the second myoelectric stimulation processing is performed, since the control terminal performs the collection according to a preset sampling frequency when collecting the second myoelectric voltage data, a time interval between every two second myoelectric voltage data is fixed; correspondingly, when the control end carries out myoelectric stimulation on the muscle, the time interval of every two myoelectric stimulations is also fixed, and the time interval of every two myoelectric stimulations is consistent with the time interval between every two second myoelectric voltage data.
For example, the first processing mode data is an asynchronous timing following mode, the preset asynchronous delay time length data is 5 seconds, the rehabilitation action requires that the rehabilitation person lift the right upper limb from the vertical ground position to the horizontal position at a constant speed within 5 seconds and stop, and the left upper limb is used for repeating the action of the right upper limb after 5 seconds, namely the left upper limb lifts from the vertical ground position to the horizontal position at a constant speed and stops, and the time length is also 5 seconds; the second muscle position of the control end is the central position of the brachial triceps of the right upper limb, and the second muscle position of the controlled end is the central position of the brachial triceps of the left upper limb; in the process of acting on the right upper limb, the control end collects myoelectric voltage at the central position of the brachiocephalic muscle of the right upper limb every 1 second, so that 5 second myoelectric voltage data are obtained: voltage 1, voltage 2, voltage 3, voltage 4, and voltage 5; through current calculation, the configuration processing end obtains 5 pieces of second myoelectric stimulation current data, namely the second myoelectric voltage data A + B: current 1, current 2, current 3, current 4, and current 5; in the process of carrying out repetitive motion alternation training on the left upper limb, configuring a processing end, calling a controlled end to carry out myoelectric stimulation on the central position of the triceps brachii of the left upper limb for 5 times in sequence, wherein the current value of each myoelectric stimulation is respectively 1, 2, 3, 4 and 5 in time sequence, and the time interval of each myoelectric stimulation is 1 second.
Step 4, when the first processing mode data is an asynchronous motion following mode, acquiring multiple groups of third electromyographic voltage data and corresponding first motion acceleration data which are acquired by a control end at a third muscle position, and forming corresponding first data groups by each third electromyographic voltage data and corresponding first motion acceleration data; calculating the corresponding relation between the first myoelectric voltage and the acceleration characteristic according to the plurality of first data groups to generate a first corresponding relation table; acquiring second motion acceleration data acquired by the controlled end at a third muscle position corresponding to the third muscle position; inquiring a first corresponding relation table according to the second action acceleration data to generate corresponding fourth electromyographic voltage data; calculating myoelectric stimulation current according to the fourth myoelectric voltage data to generate corresponding third myoelectric stimulation current data; according to the third myoelectric stimulation current data, third myoelectric stimulation processing is carried out on a third muscle position through the controlled end;
wherein the first correspondence table includes a plurality of first correspondence records; the first corresponding relation record comprises a first acceleration field and a first electromyographic voltage field;
according to the second motion acceleration data, a first corresponding relation table is inquired, and corresponding fourth electromyographic voltage data is generated, and the method specifically comprises the following steps: polling all first corresponding relation records of the first corresponding relation table; when the first acceleration field recorded by the polled first corresponding relation is matched with the second action acceleration data, extracting the first myoelectric voltage field recorded by the polled first corresponding relation as fourth myoelectric voltage data;
according to the fourth myoelectric voltage data, myoelectric stimulation current calculation processing is performed to generate corresponding third myoelectric stimulation current data, and the method specifically comprises the following steps: taking the input fourth electromyographic voltage data as first voltage data; generating first current data according to the first voltage data and a formula, wherein the first current data is first voltage data A + B; and outputting the first current data as third myoelectric stimulation current data corresponding to the fourth myoelectric voltage data.
Here, the working mode of the processing end is configured to be an asynchronous motion following mode, which can be used for rehabilitation of upper limbs or lower limbs and is mainly suitable for a rehabilitation person with a slightly damaged single side, namely, the damaged side of the rehabilitation person has certain mobility but insufficient strength and needs to be assisted by myoelectric stimulation; the premise of using this mode is that both sides of the upper or lower limb are healthy and the muscle function of one side is normal, e.g., the left upper arm triceps muscle of a rehabilitative person is failing, but the right upper arm triceps muscle is normal; in the mode, the configuration processing end firstly obtains a plurality of myoelectric voltages, namely third myoelectric voltage data and corresponding motion acceleration, namely first motion acceleration data of the right upper limb brachial triceps in a group of continuous motions of the right upper limb through an electrode patch and an acceleration sensor of the control end, and the first data group is a data combination of the myoelectric voltages and the corresponding motion acceleration data; after the group of continuous actions is finished, the configuration processing end creates a first corresponding relation table corresponding to the group of continuous actions according to the collected multiple groups of first data groups, the first action acceleration data of each group of first data groups are used as a first acceleration field recorded in the first corresponding relation, and the third electromyogram voltage data of each group of first data groups are used as a first electromyogram voltage field recorded in the first corresponding relation; after the first corresponding relation table is created, the rehabilitee can use the left upper limb to repeat the group of continuous actions, and in the process of repeating the actions, the configuration processing end can acquire real-time acceleration data of the triceps brachii muscle of the left upper limb, namely second action acceleration data, through the acceleration sensor at the controlled end; when second action acceleration data are acquired, the configuration processing end inquires a first corresponding relation table according to the second action acceleration data, and if a first corresponding relation record matched with the second action acceleration data exists, the configuration processing end indicates that a left upper limb repeats a certain action corresponding to the first corresponding relation record; in order to improve the muscle strength of the muscle of the left upper limb, the configuration processing end extracts a first myoelectric voltage field from the first corresponding relation record to serve as a reference voltage of myoelectric stimulation current, namely fourth myoelectric voltage data, and a myoelectric stimulation current calculation method similar to the step 2 is adopted to calculate and obtain corresponding third myoelectric stimulation current data; after the stimulation current value of the third myoelectric stimulation current data is obtained, the configuration processing end carries out real-time current stimulation on the triceps brachii of the left upper limb through the controlled end, so that the aim of improving abnormal muscle strength is fulfilled. The difference between the asynchronous motion following mode and the asynchronous timing following mode is that the former emphasizes the training of muscle strength and does not require the time consistency of continuous motion for the rehabilitee; the latter emphasizes the consistency of movement, mainly to improve the muscle response of the rehabilitee.
For example, the first processing mode data is an asynchronous movement following mode, and the rehabilitation movement requires the rehabilitee to perform a curl movement by using a lightweight dumbbell, such as a 250-gram dumbbell, held by the right upper limb; the third muscle position of the control end is the central position of the brachial triceps of the right upper limb, and the third muscle position of the controlled end is the central position of the brachial triceps of the left upper limb; in the process of acting on the right upper limb, the control end acquires myoelectric voltage at the central position of the brachial triceps muscle of the right upper limb every 1 second to obtain 4 third myoelectric voltage data: voltage 6, voltage 7, voltage 8 and voltage 9, every 1 second, gather an action acceleration and obtain 4 first action acceleration data: acceleration 1, acceleration 2, acceleration 3, and acceleration 4; the configuration processing end counts the myoelectric voltage and the acceleration to obtain 4 first data sets: a 1 st first data set (voltage 6, acceleration 1), a 2 nd first data set (voltage 7, acceleration 2), a 3 rd first data set (voltage 8, acceleration 3), a 4 th first data set (voltage 9, acceleration 4); the 4 first data sets are included in the first corresponding relation table, and the first corresponding relation table is shown as table one;
first correspondence record index First acceleration field First myoelectric voltage field
1 Acceleration 1 Voltage 6
2 Acceleration 2 Voltage 7
3 Acceleration 3 Voltage 8
4 Acceleration 4 Voltage 9
Watch 1
After the right upper limb finishes the arm bending action, the rehabilitee is required to do the same arm bending action by using a dumbbell with the same mass of 250 g held by the left upper limb; when the left upper limb performs a flexion motion, the motion acceleration sensor at the controlled end acquires motion acceleration information, namely second motion acceleration data, of the center position of the brachial triceps muscle of the left upper limb in real time, and the acquired frequency is not lower than the acquisition frequency of the motion of the right upper limb, so that the loss of acceleration characteristic points can be avoided; the configuration processing end inquires a first corresponding relation table once every time a second action acceleration data is obtained, if the second action acceleration data is matched with an acceleration 1, a voltage 6 is used as fourth myoelectric voltage data, if the second action acceleration data is matched with an acceleration 2, a voltage 7 is used as fourth myoelectric voltage data, if the second action acceleration data is matched with an acceleration 3, a voltage 8 is used as fourth myoelectric voltage data, and if the second action acceleration data is matched with an acceleration 4, a voltage 9 is used as fourth myoelectric voltage data; finding a matching record in the first corresponding relation table, and after fourth myoelectric voltage data which is not empty is obtained, configuring a processing end, and performing current calculation to obtain third myoelectric stimulation current data which is the fourth myoelectric voltage data A + B and is corresponding to the third myoelectric stimulation current data; at this time, the configuration processing end takes the third myoelectric stimulation current data as a stimulation current value, and the controlled end is called to perform real-time myoelectric stimulation on the central position of the triceps brachii of the left upper limb.
Fig. 2 is a block diagram of a myoelectric stimulation current data processing apparatus according to a second embodiment of the present invention, where the apparatus is an apparatus capable of implementing the method according to the second embodiment of the present invention, and as shown in fig. 2, the apparatus includes: a processing terminal 101, a control terminal 102 and a controlled terminal 103 are configured.
The configuration processing terminal 101 comprises a first human-computer interaction module 1011 and a first operation processing module 1012; the first operation processing module 1012 is respectively connected to the first human-computer interaction module 1011, the control terminal 102 and the controlled terminal 103.
The first human-computer interaction module 1011 is used for acquiring first processing mode data input by a rehabilitee; and sends the first processing mode data to the first arithmetic processing module 1012.
Here, the first human-computer interaction module 1011 displays the introduction information of the three operation modes to the rehabilitee by connecting the display device and the information input device, and sends the selection result of the three operation modes to the first arithmetic processing module 1012 as the first processing mode data.
The first operation processing module 1012 is configured to obtain first processing mode data from the first human-computer interaction module 1011; when the first processing mode data is a synchronous following mode, first myoelectric voltage data collected at a first muscle position are obtained through the control end 102; calculating myoelectric stimulation current according to the first myoelectric voltage data to generate corresponding first myoelectric stimulation current data; and according to the first myoelectric stimulation current data, first myoelectric stimulation processing is carried out on the first two muscle positions corresponding to the first muscle position through the controlled end 103.
Here, the first operation processing module 1012 is configured to process the content of step 2 in the first embodiment, and it is necessary to supplement that, during the rehabilitation, if the rehabilitee feels that the current of the first emg current data is insufficient or too large, the first human-computer interaction module 1011 may adjust the magnitude of the gain coefficient a, and send the adjustment result to the first operation processing module 1012, and then the first operation processing module 1012 adjusts the first emg current data.
The first arithmetic processing module 1012 is further configured to, when the first processing mode data is the asynchronous timing following mode, acquire, through the control terminal 102, a plurality of second electromyographic voltage data continuously acquired at a second muscle position by using preset asynchronous delay duration data as a fixed acquisition duration; calculating myoelectric stimulation current according to each second myoelectric voltage data to generate corresponding second myoelectric stimulation current data; and according to all the second electromyographic stimulation current data, performing second electromyographic stimulation processing on a second muscle position corresponding to the second muscle position through the controlled end 103.
Here, the first arithmetic processing module 1012 is used for processing the step content of step 3 in the first embodiment.
The first operation processing module 1012 is further configured to, when the first processing mode data is an asynchronous motion following mode, obtain, through the control terminal 102, multiple sets of third electromyogram voltage data and corresponding first motion acceleration data collected at a third muscle position, and form a corresponding first data set from each third electromyogram voltage data and corresponding first motion acceleration data; calculating the corresponding relation between the first electromyographic voltage and the acceleration characteristic according to the plurality of first data groups to generate a first corresponding relation table; second motion acceleration data acquired at a third muscle position corresponding to the third muscle position are acquired through the controlled end 103; inquiring a first corresponding relation table according to the second action acceleration data to generate corresponding fourth electromyographic voltage data; calculating myoelectric stimulation current according to the fourth myoelectric voltage data to generate corresponding third myoelectric stimulation current data; and according to the third myoelectric stimulation current data, third myoelectric stimulation processing is carried out on a third muscle position through the controlled end 103.
Here, the first operation processing module 1012 is used for processing the content of step 4 in the first embodiment.
The control end 102 comprises a first myoelectricity acquisition module 1021 and a first acceleration acquisition module 1022; the first myoelectric acquisition module 1021 and the first acceleration acquisition module 1022 are respectively connected to the first arithmetic processing module 1012.
The first myoelectric acquisition module 1021 is used for acquiring myoelectric voltage data in real time through an electrode patch at a first muscle position to generate first myoelectric voltage data; and transmits the first electromyogram voltage data to the first arithmetic processing module 1012.
Here, the first myoelectricity collection module 1021 is externally connected with a plurality of electrode patches, each electrode patch is adhered to a specific muscle position, that is, a first muscle position, and the real-time myoelectricity voltage data collected by the first myoelectricity collection module 1021 at each muscle position is first myoelectricity voltage data, and the unit of the voltage data is microvolt μ V.
The first myoelectric acquisition module 1021 is further configured to acquire myoelectric voltage data through an electrode patch at a second muscle position according to a preset first acquisition frequency by using the asynchronous delay duration data as a fixed acquisition duration, so as to generate a plurality of second myoelectric voltage data; and transmits the plurality of second electromyogram voltage data to the first arithmetic processing module 1012.
Here, the first collecting frequency is a preset value, and if the person who is rehabilitated feels that the current stimulation effect of the plurality of second myoelectric stimulation current data is not very accurate, the person who is rehabilitated may adjust the first collecting frequency through the first human-computer interaction module 1011, send the adjustment result to the first operation processing module 1012, and send the adjustment result to the first myoelectric collection module 1021 through the first operation processing module 1012 to adjust the first collecting frequency.
The first myoelectric acquisition module 1021 is further configured to acquire myoelectric voltage data at a third muscle position through an electrode patch according to a preset second acquisition frequency to generate a plurality of third myoelectric voltage data; and transmits the plurality of third electromyogram voltage data to the first arithmetic processing module 1012.
Here, the second collecting frequency is a preset value, and during the rehabilitation, the rehabilitee can adjust the second collecting frequency through the first human-computer interaction module 1011, and send the adjustment result to the first operation processing module 1012, and then the adjustment result is sent to the first myoelectric collecting module 1021 by the first operation processing module 1012 to be adjusted.
The first acceleration acquisition module 1022 is configured to perform motion acceleration data acquisition at a third muscle position according to a second acquisition frequency, so as to generate a plurality of first motion acceleration data; and transmits the plurality of pieces of first motion acceleration data to the first arithmetic processing module 1012.
Here, the first acceleration acquisition module 1022 is externally connected to a plurality of acceleration sensors, each acceleration sensor corresponds to a muscle position, and each acceleration sensor can calculate acceleration information of the muscle position, that is, first motion acceleration data, according to a corresponding relationship between displacement of the muscle position and time; in order to ensure that the third myoelectric voltage data corresponds to the first action acceleration data one to one, the acquisition frequency of the first action acceleration data by the first acceleration acquisition module 1022 should be consistent with the acquisition frequency of the third myoelectric voltage data by the first myoelectric acquisition module 1021.
The controlled end 103 comprises a first myoelectric stimulation module 1031 and a second acceleration acquisition module 1032; the first myoelectric stimulation module 1031 and the second acceleration collecting module 1032 are respectively connected to the first operation processing module 1012.
The first myoelectric stimulation module 1031 is configured to receive the first myoelectric stimulation current data sent by the first operation processing module 1012; modulating output current according to the first myoelectric stimulation current data to obtain first output current; and myoelectric stimulation is carried out on the first two muscle positions by using the first output current through the electrode patch.
Here, the first myoelectric stimulation module 1031 performs current stimulation on the muscle tissue by pasting a plurality of electrode patches on the muscle tissue, and it should be noted that the mounting positions of the electrode patches, i.e. the first and second muscle positions, and the electrode patch positions of the first myoelectric acquisition module 1021, i.e. the first muscle position, are in a left-right symmetric relationship with each other.
The first myoelectric stimulation module 1031 is further configured to receive the second myoelectric stimulation current data sent by the first operation processing module 1012; modulating the output current according to the second myoelectric stimulation current data to obtain a second output current; and myoelectric stimulation is performed on a second muscle position through the electrode patch by using a second output current.
Here, the installation position of the electrode patch of the first electromyographic stimulation module 1031, that is, the second muscle position, and the electrode patch position of the first electromyographic acquisition module 1021, that is, the second muscle position are in a left-right symmetrical relationship with each other.
The first myoelectric stimulation module 1031 is further configured to receive third myoelectric stimulation current data sent by the first operation processing module 1012; modulating the output current according to the third myoelectric stimulation current data to obtain a third output current; and myoelectric stimulation is carried out on the third muscle position by using the second output current through the electrode patch.
Here, the installation position of the electrode patch of the first electromyographic stimulation module 1031, that is, the third muscle position, and the electrode patch position of the first electromyographic acquisition module 1021, that is, the third muscle position, are in a left-right symmetrical relationship with each other.
The second acceleration acquisition module 1032 is configured to perform real-time motion acceleration data acquisition at a third muscle position to generate second motion acceleration data; and transmits the second motion acceleration data to the first arithmetic processing module 1012.
Here, the second acceleration acquisition module 1032 is externally connected with a plurality of acceleration sensors, each acceleration sensor corresponds to a muscle position, and each acceleration sensor can calculate real-time acceleration information of the muscle position, that is, second action acceleration data, according to a corresponding relationship between displacement of the muscle position and time; the real-time acquisition frequency of the second acceleration acquisition module 1032 should not be lower than the acquisition frequency of the third electromyographic voltage data by the first electromyographic acquisition module 1021, that is, the second acquisition frequency.
The processing device for electromyographic stimulation current data provided by the embodiment of the invention can execute the method steps in the method embodiment, and the implementation principle and the technical effect are similar, so that the details are not repeated.
It should be noted that the division of each module of the above apparatus is only a logical division, and all or part of the actual implementation may be integrated into one physical entity or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the first arithmetic processing module may be a processing element which is set up separately, or may be implemented by being integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and a processing element of the apparatus calls and executes the functions of the above determination module. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can invoke the program code. As another example, these modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, bluetooth, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), etc.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. The electronic device may be the terminal device or the server, or may be a terminal device or a server connected to the terminal device or the server and implementing the method according to the embodiment of the present invention. As shown in fig. 3, the electronic device may include: a processor 31 (e.g., CPU), a memory 32, a transceiver 33; the transceiver 33 is coupled to the processor 31, and the processor 31 controls the transceiving operation of the transceiver 33. Various instructions may be stored in memory 32 for performing various processing functions and implementing the methods and processes provided in the above-described embodiments of the present invention. Preferably, the electronic device according to an embodiment of the present invention further includes: a power supply 34, a system bus 35, and a communication port 36. The system bus 35 is used to implement communication connections between the elements. The communication port 36 is used for connection communication between the electronic device and other peripherals.
The system bus mentioned in fig. 3 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this is not intended to represent only one bus or type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
It should be noted that the embodiment of the present invention also provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method and the processing procedure provided in the above-mentioned embodiment.
The embodiment of the invention also provides a chip for running the instructions, and the chip is used for executing the method and the processing process provided by the embodiment.
Embodiments of the present invention also provide a program product, which includes a computer program stored in a storage medium, from which the computer program can be read by at least one processor, and the at least one processor executes the methods and processes provided in the embodiments.
The electromyographic stimulation current data processing method, the electromyographic stimulation current data processing device, the electronic equipment, the computer program product and the computer readable storage medium combine the electromyographic voltage and action acceleration information acquisition and the electromyographic stimulation operation of muscles into a whole, acquire the electromyographic voltage and action acceleration data of normal side muscle tissues through a control end, acquire the action acceleration data of abnormal side muscle tissues through a controlled end and perform electromyographic stimulation on the abnormal side muscle tissues, and complete the linkage processing of the control end and the controlled end through configuring a processing end; therefore, the excessive dependence of the rehabilitation people on human factors is reduced, the muscle burden of the rehabilitation people is relieved, the rehabilitation progress is shortened, and the rehabilitation efficiency is improved.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (8)

1. A method of processing electromyographic stimulation current data, the method comprising:
a configuration processing end acquires first processing mode data; the first processing mode data includes a synchronous follow mode, an asynchronous timing follow mode, and an asynchronous motion follow mode;
when the first processing mode data is a synchronous following mode, acquiring first electromyographic voltage data acquired by a control end at a first muscle position; calculating myoelectric stimulation current according to the first myoelectric voltage data to generate corresponding first myoelectric stimulation current data; according to the first myoelectric stimulation current data, first myoelectric stimulation processing is carried out on the first two muscle positions corresponding to the first muscle positions through a controlled end;
when the first processing mode data is an asynchronous timing following mode, acquiring a plurality of second electromyographic voltage data which are continuously acquired by the control end at a second muscle position by taking preset asynchronous delay time length data as fixed acquisition time length; calculating myoelectric stimulation current according to each second myoelectric voltage data to generate corresponding second myoelectric stimulation current data; according to all the second myoelectric stimulation current data, second myoelectric stimulation processing is carried out on a second muscle position corresponding to the second muscle position through the controlled end;
when the first processing mode data is in an asynchronous motion following mode, acquiring multiple groups of third electromyographic voltage data and corresponding first motion acceleration data which are acquired by the control end at a third muscle position, and forming corresponding first data groups by each third electromyographic voltage data and the corresponding first motion acceleration data; according to the plurality of first data groups, calculating the corresponding relation between the first electromyographic voltage and the acceleration characteristic to generate a first corresponding relation table; second motion acceleration data acquired by the controlled end at a third muscle position corresponding to the third muscle position are acquired; inquiring the first corresponding relation table according to the second action acceleration data to generate corresponding fourth electromyographic voltage data; calculating myoelectric stimulation current according to the fourth myoelectric voltage data to generate corresponding third myoelectric stimulation current data; and carrying out third myoelectric stimulation treatment on the third myoelectric stimulation position of the third muscle through the controlled end according to the third myoelectric stimulation current data.
2. The method for processing the electromyographic stimulation current data according to claim 1, wherein the electromyographic stimulation current calculation processing specifically comprises:
taking the input first electromyographic voltage data, the second electromyographic voltage data or the fourth electromyographic voltage data as first voltage data;
generating first current data according to the first voltage data and according to a formula first current data = first voltage data a + B; a is a preset gain coefficient, and B is a preset compensation coefficient;
and outputting the first current data as the first myoelectric stimulation current data corresponding to the first myoelectric voltage data, or as the second myoelectric stimulation current data corresponding to the second myoelectric voltage data, or as the third myoelectric stimulation current data corresponding to the fourth myoelectric voltage data.
3. The method for processing electromyographic stimulation current data according to claim 1, wherein the performing, according to all the second electromyographic stimulation current data, a second electromyographic stimulation process on a second muscle position corresponding to the second muscle position through the controlled end specifically comprises:
sequentially extracting the second myoelectric stimulation current data from all the second myoelectric stimulation current data according to time sequence to generate first current myoelectric stimulation current data; and performing myoelectric stimulation treatment on the second muscle position through the controlled end according to the first current myoelectric stimulation current data.
4. The electromyographic stimulation current data processing method according to claim 1,
the first correspondence table includes a plurality of first correspondence records; the first correspondence record includes a first acceleration field and a first myoelectric voltage field.
5. The method for processing myoelectric stimulation current data according to claim 4, wherein the querying the first corresponding relation table according to the second motion acceleration data to generate corresponding fourth myoelectric voltage data specifically comprises:
polling all the first correspondence records of the first correspondence table; when the first acceleration field recorded by the polled first corresponding relation is matched with the second action acceleration data, extracting the first myoelectric voltage field recorded by the polled first corresponding relation as the fourth myoelectric voltage data.
6. An apparatus for processing electromyographic stimulation current data, the apparatus comprising: configuring a processing end, a control end and a controlled end;
the configuration processing end comprises a first human-computer interaction module and a first operation processing module; the first operation processing module is respectively connected with the first human-computer interaction module, the control end and the controlled end;
the first human-computer interaction module is used for acquiring first processing mode data input by a rehabilitee; sending the first processing mode data to the first operation processing module; the first processing mode data includes a synchronous follow mode, an asynchronous timing follow mode, and an asynchronous motion follow mode;
the first operation processing module is used for acquiring first processing mode data from the first human-computer interaction module; when the first processing mode data is a synchronous following mode, first electromyographic voltage data collected at a first muscle position is obtained through the control end; calculating myoelectric stimulation current according to the first myoelectric voltage data to generate corresponding first myoelectric stimulation current data; according to the first myoelectric stimulation current data, first myoelectric stimulation processing is carried out on the first two muscle positions corresponding to the first muscle positions through the controlled end;
the first operation processing module is further used for acquiring a plurality of second electromyogram voltage data which are continuously acquired at a second muscle position by using preset asynchronous delay duration data as fixed acquisition duration through the control terminal when the first processing mode data are in an asynchronous timing following mode; calculating myoelectric stimulation current according to each second myoelectric voltage data to generate corresponding second myoelectric stimulation current data; according to all the second myoelectric stimulation current data, second myoelectric stimulation processing is carried out on a second muscle position corresponding to the second muscle position through the controlled end;
the first operation processing module is further configured to, when the first processing mode data is an asynchronous motion following mode, acquire, through the control terminal, a plurality of sets of third electromyographic voltage data and corresponding first motion acceleration data acquired at a third muscle position, and form a corresponding first data set from each third electromyographic voltage data and the corresponding first motion acceleration data; according to the plurality of first data groups, calculating the corresponding relation between the first electromyographic voltage and the acceleration characteristic to generate a first corresponding relation table; acquiring second action acceleration data acquired at a third muscle position corresponding to the third muscle position through the controlled end; inquiring the first corresponding relation table according to the second action acceleration data to generate corresponding fourth electromyographic voltage data; calculating myoelectric stimulation current according to the fourth myoelectric voltage data to generate corresponding third myoelectric stimulation current data; according to the third myoelectric stimulation current data, third myoelectric stimulation processing is carried out on the third muscle position through the controlled end;
the control end comprises a first myoelectricity acquisition module and a first acceleration acquisition module; the first myoelectric acquisition module and the first acceleration acquisition module are respectively connected with the first operation processing module;
the first myoelectric acquisition module is used for acquiring myoelectric voltage data in real time at the first muscle position through an electrode patch to generate the first myoelectric voltage data; the first electromyographic voltage data is sent to the first operation processing module;
the first myoelectric acquisition module is further used for acquiring myoelectric voltage data through an electrode patch at a second muscle position according to a preset first acquisition frequency by taking the asynchronous delay time data as a fixed acquisition time to generate a plurality of second myoelectric voltage data; sending the plurality of second electromyographic voltage data to the first operation processing module;
the first myoelectric acquisition module is further used for acquiring myoelectric voltage data at the third muscle position through an electrode patch according to a preset second acquisition frequency to generate a plurality of third myoelectric voltage data; sending the plurality of third electromyographic voltage data to the first operation processing module;
the first acceleration acquisition module is used for acquiring motion acceleration data at the third muscle position according to the second acquisition frequency to generate a plurality of first motion acceleration data; sending a plurality of first motion acceleration data to the first operation processing module;
the controlled end comprises a first myoelectric stimulation module and a second acceleration acquisition module; the first myoelectric stimulation module and the second acceleration acquisition module are respectively connected with the first operation processing module;
the first myoelectric stimulation module is used for receiving the first myoelectric stimulation current data sent by the first operation processing module; modulating output current according to the first myoelectric stimulation current data to obtain first output current; myoelectric stimulation is carried out on the first two muscle positions by using the first output current through an electrode patch;
the first myoelectric stimulation module is further used for receiving the second myoelectric stimulation current data sent by the first operation processing module; modulating output current according to the second myoelectric stimulation current data to obtain second output current; myoelectric stimulation is carried out on the second muscle position through the electrode patch by using the second output current;
the first myoelectric stimulation module is further configured to receive the third myoelectric stimulation current data sent by the first operation processing module; modulating output current according to the third myoelectric stimulation current data to obtain third output current; myoelectric stimulation is carried out on the third muscle position through the electrode patch by using the second output current;
the second acceleration acquisition module is used for acquiring real-time motion acceleration data at the third second muscle position to generate second motion acceleration data; and sending the second motion acceleration data to the first operation processing module.
7. An electronic device, comprising: a memory, a processor, and a transceiver;
the processor is used for being coupled with the memory, reading and executing the instructions in the memory to realize the method steps of any one of the claims 1-5;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
8. A computer-readable storage medium having stored thereon computer instructions which, when executed by a computer, cause the computer to perform the method of any of claims 1-5.
CN202110028689.9A 2021-01-11 2021-01-11 Method and device for processing myoelectric stimulation current data Active CN112827063B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110028689.9A CN112827063B (en) 2021-01-11 2021-01-11 Method and device for processing myoelectric stimulation current data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110028689.9A CN112827063B (en) 2021-01-11 2021-01-11 Method and device for processing myoelectric stimulation current data

Publications (2)

Publication Number Publication Date
CN112827063A CN112827063A (en) 2021-05-25
CN112827063B true CN112827063B (en) 2022-06-14

Family

ID=75929485

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110028689.9A Active CN112827063B (en) 2021-01-11 2021-01-11 Method and device for processing myoelectric stimulation current data

Country Status (1)

Country Link
CN (1) CN112827063B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001327611A (en) * 2000-05-23 2001-11-27 Minato Ikagaku Kk Electric stimulation device with myoelectric signal measuring function
CN105148404A (en) * 2015-09-16 2015-12-16 燕铁斌 Electrical stimulation training system and training method based on health-side limb electromyographic signal trigger
CN107252525A (en) * 2017-04-28 2017-10-17 上海交通大学 A kind of multichannel electrical stimulation device based on EMG feedback
CN108310632A (en) * 2018-01-30 2018-07-24 深圳市前海未来无限投资管理有限公司 A kind of muscle electric stimulation method, apparatus and wearable device
CN109820482A (en) * 2019-03-05 2019-05-31 浙江强脑科技有限公司 Muscular states detection method, device and computer readable storage medium
CN111659006A (en) * 2020-06-11 2020-09-15 浙江大学 Gait acquisition and neuromuscular electrical stimulation system based on multi-sensing fusion

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001327611A (en) * 2000-05-23 2001-11-27 Minato Ikagaku Kk Electric stimulation device with myoelectric signal measuring function
CN105148404A (en) * 2015-09-16 2015-12-16 燕铁斌 Electrical stimulation training system and training method based on health-side limb electromyographic signal trigger
CN107252525A (en) * 2017-04-28 2017-10-17 上海交通大学 A kind of multichannel electrical stimulation device based on EMG feedback
CN108310632A (en) * 2018-01-30 2018-07-24 深圳市前海未来无限投资管理有限公司 A kind of muscle electric stimulation method, apparatus and wearable device
CN109820482A (en) * 2019-03-05 2019-05-31 浙江强脑科技有限公司 Muscular states detection method, device and computer readable storage medium
CN111659006A (en) * 2020-06-11 2020-09-15 浙江大学 Gait acquisition and neuromuscular electrical stimulation system based on multi-sensing fusion

Also Published As

Publication number Publication date
CN112827063A (en) 2021-05-25

Similar Documents

Publication Publication Date Title
US11832950B2 (en) Muscle activity monitoring
Cerone et al. A modular, smart, and wearable system for high density sEMG detection
US10874530B2 (en) Method of bionic control of technical devices
Pereira et al. A novel IoT based health monitoring system using LPC2129
Carroll et al. Tetanic responses of electrically stimulated paralyzed muscle at varying interpulse intervals
CN212941005U (en) Myoelectric biofeedback therapeutic instrument
Watanabe et al. An approach to a muscle model with a stimulus frequency-force relationship for FES applications
WO2020183356A1 (en) Integrated device for electromyography and electrotherapy
KR20210098256A (en) Neuromuscular electrical stimulator and stimulation method using emg feedback
CN111317660A (en) Myoelectricity detection electric acupuncture device and myoelectricity detection method
CN112827063B (en) Method and device for processing myoelectric stimulation current data
EP3863709B1 (en) Electro-stimulation apparatus
CN109394230A (en) A kind of gait analysis system based on surface electromyogram signal
Rossato et al. I-Spin live: An open-source software based on blind-source separation for decoding the activity of spinal alpha motor neurons in real-time
CN114470520A (en) Myoelectricity feedback electric stimulation control system and control method
CN111408038B (en) Portable hand function rehabilitation system based on electrode array
Ibrahim et al. Electromyography signal based for intelligent prosthesis design
Wang et al. A wearable multi-pad electrode prototype for selective functional electrical stimulation of upper extremities
KR102552957B1 (en) Growth plate stimulation and management system applied biological signal and deep learning algorithm
CN214549371U (en) Remote pulse feeling device for traditional Chinese medicine
Sierotowicz et al. A comprehensive framework for the modelling of cartesian force output in human limbs
Wang et al. Wearable and wireless distributed multi-site fes prototype for selective stimulation and fatigue reduction: a case study
RU223369U1 (en) A device in the form of a piece of clothing for recording and correcting muscle activity
Loeffler et al. Embedded medical devices: Pressure volume loops in rodents
CN108553831A (en) A kind of wrist joint training system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant