CN117357793A - Intelligent EMS device and wearable intelligent EMS equipment - Google Patents
Intelligent EMS device and wearable intelligent EMS equipment Download PDFInfo
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- 238000001514 detection method Methods 0.000 claims abstract description 16
- 230000009471 action Effects 0.000 claims abstract description 7
- 238000012544 monitoring process Methods 0.000 abstract description 6
- 230000004936 stimulating effect Effects 0.000 abstract description 5
- 238000011871 bio-impedance analysis Methods 0.000 description 9
- 229920005994 diacetyl cellulose Polymers 0.000 description 7
- 238000000034 method Methods 0.000 description 7
- 210000001519 tissue Anatomy 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 210000003722 extracellular fluid Anatomy 0.000 description 3
- 230000001965 increasing effect Effects 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 210000000170 cell membrane Anatomy 0.000 description 2
- 238000002591 computed tomography Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000003834 intracellular effect Effects 0.000 description 2
- 210000002977 intracellular fluid Anatomy 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 206010002027 Amyotrophy Diseases 0.000 description 1
- 208000029549 Muscle injury Diseases 0.000 description 1
- 206010033799 Paralysis Diseases 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
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- 239000003814 drug Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 210000001097 facial muscle Anatomy 0.000 description 1
- 235000013861 fat-free Nutrition 0.000 description 1
- 230000012010 growth Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000002595 magnetic resonance imaging Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
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- 238000011056 performance test Methods 0.000 description 1
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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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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/02—Details
- A61N1/04—Electrodes
- A61N1/0404—Electrodes for external use
- A61N1/0408—Use-related aspects
- A61N1/0452—Specially adapted for transcutaneous muscle stimulation [TMS]
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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
- A61N1/02—Details
- A61N1/04—Electrodes
- A61N1/0404—Electrodes for external use
- A61N1/0472—Structure-related aspects
- A61N1/0492—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
- A61N1/36003—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation of motor muscles, e.g. for walking assistance
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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
- A61N1/3603—Control systems
- A61N1/36031—Control systems using physiological parameters for adjustment
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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
- A61N1/3603—Control systems
- A61N1/36034—Control systems specified by the stimulation parameters
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Abstract
The invention discloses an intelligent EMS device and wearable intelligent EMS equipment, and relates to the technical field of intelligent control. According to the invention, the H-bridge circuit, the current sensor and the microprocessor are arranged, the microprocessor generates an adjustable stimulation electric signal under the action of an external power supply, and the H-bridge circuit and the electrode patch group are used for stimulating muscles to be stimulated; after each stimulus is finished, generating a detection signal, transmitting the detection signal to the muscle to be stimulated through a current sensor and a first electrode patch, and reading a bioimpedance electric signal acquired by the current sensor to adjust the adjustable stimulus electric signal so as to realize effective monitoring of muscle quality until a BIA value reaches an expected value; and each part is a miniaturized circuit, so that the portable electric bicycle is convenient to carry and take on and take off.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to an intelligent EMS (Electrical Muscle Stimulation, muscle electrical stimulation) device and wearable intelligent EMS equipment.
Background
The interplanetary exploration is of extraordinary importance for human development. It is a catalyst for inoculating new technology and promoting scientific research. The project is developing an EMS adaptive smart wearable device for astronauts who lose muscle mass in a microgravity environment. Among them, EMS is a technique for simulating natural stimulation of muscles by using electric current, which helps to maintain or enhance muscle strength and quality. The EMS self-adaptive intelligent wearable device aims at assisting and enhancing the growth and recovery of human muscle and improving the efficiency of muscle growth.
Of course, EMS adaptive smart wearable devices are also suitable for any person experiencing muscle loss or needing muscle enhancement. This project encompasses upgrades of muscle stimulation hardware, development of current programming and other software engineering tasks, and interdisciplinary applications in sports medicine, man-machine interaction, and related fields. Has wide application in medical industry (such as amyotrophy and paralysis), sports industry (such as muscle injury, body building and muscle increasing), and beauty medical industry (such as adjusting facial muscle aging, sagging and other symptoms).
However, determining the most effective EMS parameters is critical and an effective means is needed to monitor changes in muscle mass. The methods such as dual-energy X-ray absorption assay (DXA), magnetic Resonance Imaging (MRI), computed Tomography (CT) and the like can accurately measure muscle mass, but the equipment is too large in size and not suitable for portable use.
Disclosure of Invention
The invention aims to provide a miniaturized intelligent EMS device and wearable intelligent EMS equipment, which can adjust adjustable stimulation electric signals in real time so as to realize effective monitoring of muscle quality and is convenient to carry.
In order to achieve the above object, the present invention provides the following solutions:
an intelligent muscle electrical stimulation EMS device connected with at least one electrode patch pair, the electrode patch set being attached to a muscle to be stimulated, the intelligent EMS device comprising:
the H bridge circuit is respectively connected with an external power supply and the electrode patch;
the current sensor is connected with a first electrode patch in each electrode patch pair and is used for collecting bioelectrical impedance signals fed back by the muscle to be stimulated through the first electrode patch;
the microprocessor is respectively connected with the external power supply, the H-bridge circuit and the current sensor; the device is used for generating an adjustable stimulation electric signal under the action of an external power supply, and performing stimulation treatment on muscles to be stimulated through an H-bridge circuit and the electrode patch group; after each stimulus is finished, a detection signal is generated and transmitted to the muscle to be stimulated through the current sensor and the first electrode patch, and the bio-impedance electric signals collected by the current sensor are read to adjust the adjustable stimulus electric signals.
Optionally, a digital-to-analog converter DAC of the microprocessor is connected to the current sensor, and the detection signal generated by the DAC is transmitted to the muscle to be stimulated by the current sensor and the first electrode patch in sequence under the action of an external power supply;
the ADC interface of the microprocessor is connected with the current sensor, and the microprocessor reads the bio-impedance electric signal through the ADC interface so as to obtain muscle state data;
the microprocessor adjusts state parameters according to the muscle state data to generate an adjusted adjustable stimulation electrical signal; wherein the status parameters include: at least one of frequency, pulse width, intensity, waveform, and duty cycle.
Optionally, two pins of the microprocessor are respectively connected with an input end of a switch of the H-bridge circuit, the microprocessor switches on or off the switch according to a set time to realize the connection or disconnection of the microprocessor and the H-bridge circuit, and when the microprocessor is connected, the microprocessor controls the H-bridge circuit to generate a waveform signal corresponding to the adjustable stimulation electric signal, and the electrode slice group is used for stimulating the muscle to be stimulated; at shutdown, the microprocessor control generates a detection signal.
Optionally, when the external power source is low voltage, the smart EMS device further includes:
the boost converter is respectively connected with the external power supply and the H-bridge circuit and is used for boosting the external power supply to a set voltage and inputting the set voltage to the H-bridge circuit; wherein the voltages less than the set voltage are all low voltages.
Optionally, the smart EMS device further includes:
and the relay is arranged between the current sensor and the first electrode patch.
Optionally, the ground GND of the microprocessor is connected to the second electrode patch of each electrode patch pair.
Optionally, the smart EMS device further includes a wireless connector through which the microprocessor is connected to a remote device.
Optionally, the detection signal is an alternating current signal of 50 kHz; wherein the microprocessor generates a 50kHz ac signal via a FreeRTOS and RTC 8M clock divider.
Optionally, the microprocessor is ESP32-WROOM-32D.
In order to achieve the above purpose, the present invention also provides the following solutions:
a wearable smart EMS device comprising the above-described smart EMS apparatus, and at least one pair of electrode patch sets connected to the smart EMS apparatus.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: according to the invention, the H-bridge circuit, the current sensor and the microprocessor are arranged, the microprocessor generates an adjustable stimulation electric signal, and the H-bridge circuit and the electrode patch group are used for stimulating muscles to be stimulated; after each stimulus is finished, generating a detection signal, transmitting the detection signal to the muscle to be stimulated through a current sensor and a first electrode patch, and reading a bioimpedance electric signal acquired by the current sensor to adjust the adjustable stimulus electric signal so as to realize effective monitoring of muscle quality until a BIA value reaches an expected value; and each part is a miniaturized circuit, so that the portable electric bicycle is convenient to carry and take on and take off.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is an electrical model of human tissue;
FIG. 2 is a schematic diagram of a circuit structure of a smart EMS device according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating an information processing of the intelligent EMS device according to an embodiment of the present invention;
FIG. 4 is a graph of waveform comparison in an oscilloscope;
fig. 5 is a waveform comparison plot read by Matlab.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide an intelligent EMS device which can adjust adjustable stimulation electric signals in real time so as to realize effective monitoring of muscle quality and is convenient to carry.
BIA (Bioelectrlcal ImpedanceAnalysls, bioimpedance analysis) is to estimate body components such as Total Body Water (TBW) and fat-free mass (FFM) by measuring the resistance characteristics of body tissues. Bioimpedance (Z, Ω) is defined as the resistance of a conductor to alternating current applied thereto. The bioimpedance results from the resistance (R, Ω) produced by intracellular and extracellular fluids and the reactance (Xc, Ω) associated with the cell membrane capacitance. As shown in fig. 1, RS and RP are series-parallel resistance components, and CP is a parallel capacitance component.
The bioimpedance varies with the tissue composition and the frequency of the applied current, and at low frequencies (1-5 kHz) the current does not penetrate the cell membrane, thus assuming that the current passes through the extracellular fluid. At a higher frequency of>50 kHz) and associated with the intracellular and extracellular fluid compartments. Single frequency BIA, typically 50kHz, is used. Calculating tissue moisture V by bioelectrical impedance at a current of 50khz th ：
Wherein H represents height (in cm), R 50 The impedance value at 50kHz (in omega) and W represents the weight of the body (in kg).
As can be seen from the above equation, the lower the impedance value, the higher the moisture content, meaning the higher the muscle content. By ohm's law, z=ui can get the impedance value. This means that the higher the measured current value, the higher the content of the representative muscle, and the better the muscle performance.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
The intelligent muscle electric stimulation EMS device is connected with at least one electrode patch pair (positive and negative electrodes), and the electrode patch pair is attached to the muscle to be stimulated. In the present embodiment, the number of electrode patch pairs is one, but not limited to this, and the electrode patch pairs can be adjusted and set according to actual needs.
As shown in fig. 2 and 3, the smart EMS device of the present invention includes an H-bridge circuit, a current sensor, and a microprocessor.
The H bridge circuit is connected with an external power supply and the electrode patch respectively.
The current sensor is connected with a first electrode patch in each electrode patch pair, and the current sensor collects bioelectrical impedance electric signals fed back by the muscle to be stimulated through the first electrode patch. Preferably, the current sensor is an ACS712 ammeter. The electrode patch pairs may be conductive gel sheets.
The microprocessor is respectively connected with the external power supply, the H-bridge circuit and the current sensor; the microprocessor is used for generating an adjustable stimulation electric signal under the action of an external power supply, and stimulating the muscle to be stimulated through the H-bridge circuit and the electrode patch group; after each stimulus is finished, a detection signal is generated and transmitted to the muscle to be stimulated through the current sensor and the first electrode patch, and the bio-impedance electric signals collected by the current sensor are read to adjust the adjustable stimulus electric signals, so that closed-loop adjustment is realized.
As an embodiment, the digital-analog converter DAC of the microprocessor is connected to the current sensor, and the detection signal generated by the DAC is sequentially transmitted to the muscle to be stimulated through the current sensor and the first electrode patch under the action of an external power supply. And an ADC interface of the microprocessor is connected with the current sensor, and the microprocessor reads the bio-impedance electric signal through the ADC interface so as to obtain muscle state data.
Specifically, after waveforms (such as sine waves and trapezoidal waves) are generated by the DAC, the waveforms are amplified by an external power supply (such as a power supply or a battery) and an amplifier, and then working waveform electric signals are obtained.
The microprocessor adjusts state parameters according to the muscle state data to generate an adjusted adjustable stimulation electrical signal; wherein the status parameters include: at least one of frequency, pulse width, intensity, waveform, and duty cycle.
Specifically: firstly, obtaining proper BIA values according to the requirements of different users, and adjusting specific state parameters according to algorithms for different user groups.
When the difference between the BIA value and the expected value is large, the stimulation intensity can be greatly increased by changing various state parameters so as to rapidly improve the BIA.
When the difference between the BIA value and the expected value is smaller, the stimulation intensity can be increased by changing various state parameters to a small extent until the BIA is stable, so that the best stimulation effect is achieved.
In the whole regulation and control process, a PID control method can be adopted.
Further, the ground GND of the microprocessor is connected to the second electrode patch of each electrode patch pair.
When the external power supply is low voltage, the intelligent EMS device of the invention further comprises: the boost converter is respectively connected with the external power supply and the H-bridge circuit and is used for boosting the external power supply to a set voltage and inputting the set voltage to the H-bridge circuit; wherein the voltages less than the set voltage are all low voltages. The model of the boost converter is XL6019. The H bridge circuit is L298N.
Correspondingly, when the external power supply is high voltage, the intelligent EMS device of the invention further comprises: the buck converter is respectively connected with the external power supply and the H-bridge circuit and is used for stepping down the external power supply to a set voltage and inputting the set voltage to the H-bridge circuit; wherein the voltages greater than the set voltage are all high voltages.
Wherein the set voltage is 40V and the low voltage is 3.7-12V. In this embodiment, the external power supply is 5V.
Further, two pins of the microprocessor are respectively connected with the input end of one switch of the H-bridge circuit, the microprocessor opens and closes the switch according to set time to realize the connection or disconnection of the microprocessor and the H-bridge circuit, and when the microprocessor is connected, the microprocessor controls the H-bridge circuit to generate a waveform signal corresponding to the adjustable stimulation electric signal, and the electrode slice group is used for stimulating the muscle to be stimulated; at shutdown, the microprocessor control generates a detection signal. In this embodiment, the microprocessor is ESP32-WROOM-32D.
As shown in fig. 4 and 5, the waveform signal generated by the H-bridge current was analyzed by an oscilloscope, and the oscilloscope was connected to a computer, and the waveform signal generated by the H-bridge current was precisely analyzed using matlab. Through calculation verification, the waveform signal is accurate and consistent with the set state parameters.
To protect the circuit elements, the smart EMS device of the present invention further includes: and the relay is arranged between the current sensor and the first electrode patch, and is used for isolating the electric pulse signal and the current sensor.
Preferably, the detection signal is an alternating current signal of 50 kHz; wherein the microprocessor generates a 50kHz ac signal via a FreeRTOS and RTC 8M clock divider.
Specifically, ESP32 (ESP 32-WROOM-32D) has two 8bit resolution DACs at the GPIO25 and GPIO26 pins, respectively. The 50kHz ac signal was generated using FreeRTOS and RTC 8M clock divider operation, passed current to the human body through a DAC interface using a first electrode patch, isolated from the electrical pulse signal using a relay, and the electrical signal was read using ACS712 ammeter.
In addition, the intelligent EMS device further comprises a wireless connector, and the microprocessor is connected with a remote device through the wireless connector. The web page for remotely controlling and monitoring the smart EMS device is developed so that the user can directly operate on the cellular phone, and the interaction is more user-friendly.
ESP32 is often used for Internet of things development. With its ability to communicate wirelessly, a web page was developed for remote control and monitoring of the system. ESP32 is configured as a server that opens an interface when logging onto its web site using the same WiFi. In this interface, the upper half is the muscle performance test and the lower half is used to adjust the state parameters. The interface is intuitive and user-friendly, and can rapidly operate the intelligent EMS device and directly observe the quality of the muscle.
A preliminary experiment was performed in order to verify the effectiveness of the device for an adult female.
The selected electrical stimulation parameters are: pulse width: 100 μsec, frequency: 50Hz, stimulation time: 5s, interval time: 25 seconds, stimulus intensity: 20V, the time for each test was 17 minutes.
The latitude of the biceps brachii muscle was measured by the ruler before and after the electrical stimulation, respectively, and the current value through the muscle was measured. The test was run for a total of one month and a significant increase in the dimension before daily electrical stimulation and in the dimension of electrical stimulation was found. Meanwhile, the dimension of biceps is found to have obvious correlation with the measured current value. Thus, the electrical stimulation of the intelligent EMS device is proved to be effective and the measurement mode is reliable.
In addition, the invention also provides a wearable intelligent EMS device, wherein the intelligent EMS device comprises the intelligent EMS device and at least one pair of electrode patch groups connected with the intelligent EMS device.
The wearable intelligent EMS device of the present invention has the same effects as the intelligent EMS device described above, and will not be described here again.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (10)
1. An intelligent muscle electrical stimulation EMS device connected to at least one electrode patch pair, the electrode patch set being attached to a muscle to be stimulated, the intelligent EMS device comprising:
the H bridge circuit is respectively connected with an external power supply and the electrode patch;
the current sensor is connected with a first electrode patch in each electrode patch pair and is used for collecting bioelectrical impedance signals fed back by the muscle to be stimulated through the first electrode patch;
the microprocessor is respectively connected with the external power supply, the H-bridge circuit and the current sensor; the device is used for generating an adjustable stimulation electric signal under the action of an external power supply, and performing stimulation treatment on muscles to be stimulated through an H-bridge circuit and the electrode patch group; after each stimulus is finished, a detection signal is generated and transmitted to the muscle to be stimulated through the current sensor and the first electrode patch, and the bio-impedance electric signals collected by the current sensor are read to adjust the adjustable stimulus electric signals.
2. The intelligent EMS device according to claim 1, wherein a digital-to-analog converter DAC of the microprocessor is connected to the current sensor, and a detection signal generated by the DAC is sequentially transmitted to the muscle to be stimulated through a DAC interface, the current sensor, and the first electrode patch under the action of an external power supply;
the ADC interface of the microprocessor is connected with the current sensor, and the microprocessor reads the bio-impedance electric signal through the ADC interface so as to obtain muscle state data;
the microprocessor adjusts state parameters according to the muscle state data to generate an adjusted adjustable stimulation electrical signal; wherein the status parameters include: at least one of frequency, pulse width, intensity, waveform, and duty cycle.
3. The intelligent EMS device according to claim 1, wherein two pins of the microprocessor are respectively connected to an input end of one switch of the H-bridge circuit, the microprocessor opens and closes the switch according to a set time to realize on or off of the microprocessor and the H-bridge circuit, and when the microprocessor is on, the microprocessor controls the H-bridge circuit to generate a waveform signal corresponding to the adjustable stimulation electrical signal, and stimulates the muscle to be stimulated through the electrode slice group; at shutdown, the microprocessor control generates a detection signal.
4. The smart EMS device of claim 1, wherein when the external power source is a low voltage, the smart EMS device further includes:
the boost converter is respectively connected with the external power supply and the H-bridge circuit and is used for boosting the external power supply to a set voltage and inputting the set voltage to the H-bridge circuit; wherein the voltages less than the set voltage are all low voltages.
5. The smart EMS device of claim 1, further comprising:
and the relay is arranged between the current sensor and the first electrode patch.
6. The smart EMS device according to claim 1, wherein a ground GND of the microprocessor is connected to a second electrode patch of each electrode patch pair.
7. The smart EMS device of claim 1, further comprising a wireless connector through which the microprocessor is connected to a remote device.
8. The smart EMS device of any of claims 1 to 7, wherein the detection signal is an alternating current signal of 50 kHz; wherein the microprocessor generates a 50kHz ac signal via a FreeRTOS and RTC 8M clock divider.
9. The smart EMS device of any of claims 1-7, the microprocessor is an ESP 32-wrook-32D.
10. A wearable smart EMS device, characterized in that it comprises the smart EMS device of any of claims 1-9, and at least one pair of electrode patch sets connected to the smart EMS device.
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| US20180028810A1 (en) * | 2015-02-18 | 2018-02-01 | Wearable Life Science Gmbh | System for controlling stimulation impulses |
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| KR20230120522A (en) * | 2022-02-09 | 2023-08-17 | 주식회사 디앤샤인 | Device for Electromyography Muscle Stimulation |
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|---|---|---|---|---|
| US20120239112A1 (en) * | 2009-11-06 | 2012-09-20 | Health Sciences Foundation | Electrostimulator capable of outputting stable electric stimulus |
| US20140343625A1 (en) * | 2011-11-11 | 2014-11-20 | University Of Limerick | Muscle stimulation device |
| US20180028810A1 (en) * | 2015-02-18 | 2018-02-01 | Wearable Life Science Gmbh | System for controlling stimulation impulses |
| EP3895759A1 (en) * | 2020-04-14 | 2021-10-20 | MikeFit GmbH | Garment and method for traning muscles |
| KR20230120522A (en) * | 2022-02-09 | 2023-08-17 | 주식회사 디앤샤인 | Device for Electromyography Muscle Stimulation |
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