CN114098739A - Micro-needle array measuring system for electromyographic signal measurement - Google Patents
Micro-needle array measuring system for electromyographic signal measurement Download PDFInfo
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- CN114098739A CN114098739A CN202111314554.5A CN202111314554A CN114098739A CN 114098739 A CN114098739 A CN 114098739A CN 202111314554 A CN202111314554 A CN 202111314554A CN 114098739 A CN114098739 A CN 114098739A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/25—Bioelectric electrodes therefor
- A61B5/262—Needle electrodes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/25—Bioelectric electrodes therefor
- A61B5/279—Bioelectric electrodes therefor specially adapted for particular uses
- A61B5/296—Bioelectric electrodes therefor specially adapted for particular uses for electromyography [EMG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
Abstract
The invention discloses a micro-needle array measuring system for electromyographic signal measurement. The measuring system comprises a flexible microneedle array sensing unit, a signal conditioning module, a signal acquisition module and a computer; the flexible micro-needle array sensing unit is connected with the signal acquisition module through the signal conditioning module, and the signal acquisition module is connected with the computer; the flexible micro-needle array sensing unit measures original electromyographic signals, the original electromyographic signals are preprocessed by the signal conditioning module and then transmitted to the signal acquisition module, the signal acquisition module finishes digital acquisition of the electromyographic signals, and the acquired electromyographic signals are transmitted to the computer to be analyzed and stored. The flexible micro-needle array sensing unit is modularized, and is easy to expand to more channels and even to multi-muscle group measurement. And the measurement is reliable, the skin fitting degree is high, more accurate and better myoelectric signals can be obtained, and the analysis and the application of the subsequent bioelectric signals are facilitated.
Description
Technical Field
The invention belongs to the technical field of physiological electric signal acquisition and electronic components, and particularly relates to a micro-needle array measuring system for measuring an electromyographic signal.
Background
The Surface electromyography (sEMG) is a one-dimensional voltage time sequence signal obtained by measuring, filtering, amplifying, displaying and recording bioelectricity change on the Surface layer of skin when a neuromuscular system performs any activity through an acquisition electrode, contains a large amount of information related to human body movement, and can represent muscle activity change rules such as fatigue state, muscle strength, muscle activation degree, motor unit excitation conduction speed, multi-muscle group coordination and the like.
In the field of clinical rehabilitation, the electromyographic signals are mainly applied to monitoring, evaluating and diagnosing the rehabilitation of chronic non-specific lumbago, paraspinal muscle pathological change, scoliosis and cerebral apoplexy patients, and the clinical medicine such as Parkinson, dysphagia and the like. In the field of sports science research, the surface myoelectricity can well express the force application characteristic of muscles during sports, has the characteristics of intuition, rapidness and field feedback, and can be synchronously analyzed with other sports measurement methods. The application mainly comprises the steps of comparing the stimulation degrees of different actions or loads on the same muscle, detecting the coordination and the time sequence among different muscles, comparing the left and right side balance to correct the actions, prevent injuries, rehabilitate sports and the like.
The existing wet electrode is complex to wear, needs shaving, alcohol smearing, conductive paste and the like, is simultaneously suffered from dryness caused by long-time use of the conductive paste, leads to signal quality reduction, is easy to irritate skin for a long time, causes allergy, damage and the like, is not suitable for long-term and continuous monitoring, and cannot meet the requirement of high-density measurement. More particularly, for special people such as sports athletes, due to the influence of skin (high impedance characteristic) and daily behaviors, the myoelectric signals measured by the wet electrodes are doped with excessive motion artifact noise, so that the signal-to-noise ratio is low and the quality is poor.
With the development of MEMS manufacturing process and flexible printed circuit board process, the preparation of flexible, skin-attached, high-density and high-spatial-resolution physiological signal electrodes is rapidly developed.
Disclosure of Invention
In order to solve the technical problems and requirements in the background art, the microneedle array electrode has the characteristics of non-invasive acquisition, simple operation and no need of guidance of professionals, the invention provides a microneedle array measuring system for electromyographic signal measurement, and aims to overcome the defects of complex wearing, poor durability, poor skin fit degree, low spatial resolution and the like in the existing electromyographic measurement.
The specific technical scheme of the invention is as follows:
the microneedle array measuring system comprises a flexible microneedle array sensing unit, a signal conditioning module, a signal acquisition module and a computer;
the flexible micro-needle array sensing unit is connected with the signal acquisition module through the signal conditioning module, and the signal acquisition module is connected with the computer; the flexible micro-needle array sensing unit measures original electromyographic signals, the original electromyographic signals are preprocessed by the signal conditioning module and then transmitted to the signal acquisition module, the signal acquisition module finishes digital acquisition of the electromyographic signals, and the acquired electromyographic signals are transmitted to the computer to be analyzed and stored.
The flexible micro-needle array sensing unit consists of a flexible circuit board and a micro-needle electrode array, the micro-needle electrode array is fixedly arranged on the flexible circuit board, and the flexible circuit board is electrically connected with the signal conditioning module;
the microneedle electrode array consists of a plurality of channel electrodes which are arranged on a flexible circuit board in an array form, and the flexible circuit board comprises a flexible substrate, a plurality of leads and a plurality of copper electrodes; the copper electrodes and the channel electrodes are arranged on the flexible substrate in the same array form, each copper electrode is electrically connected with one end of the corresponding lead, the other end of each copper electrode corresponding to the lead and the other end of the copper electrode adjacent to the current copper electrode corresponding to the lead are electrically connected with a signal conditioning module, the signal conditioning module outputs signals on the two leads in a differential mode, and the channel electrodes are respectively bonded on the corresponding copper electrodes through conductive glue, so that the channel electrodes are fixedly arranged on the flexible substrate.
The interval between two adjacent channel electrodes is 3-5 mm.
The structure of the channel electrodes is the same, each channel electrode comprises a square base and a plurality of conical micro-needles, the conical micro-needles are arranged on the square base in an m x n array, the diameter of the bottom of each conical micro-needle is 50-300 mu m, and the height of each conical micro-needle is 100-300 mu m.
The flexible circuit board is made of polyimide, and the thickness of the flexible circuit board is not more than 1 mm.
And two ends of the flexible circuit board are also provided with a biocompatible film for fixing, and the biocompatible film adopts medical adhesive plaster.
The signal conditioning module comprises two stages of filtering and amplifying circuits, the input of the primary filtering and amplifying circuit is connected with the flexible microneedle array sensing unit, the output of the primary filtering and amplifying circuit is connected with the input of the secondary filtering and amplifying circuit, and the output of the secondary filtering and amplifying circuit is connected with the signal acquisition module.
The flexible micro-needle array sensing unit is fixed along the direction of muscle fibers or perpendicular to the direction of the muscle fibers, and the flexible micro-needle array sensing unit detects signals of a single muscle or simultaneously detects signals of a plurality of muscles.
Compared with the prior art, the invention has the beneficial effects that:
1) the multi-channel high-density flexible micro-needle array sensing unit designed by the invention is convenient to wear, does not need complex shaving, alcohol smearing, conductive paste smearing, abrasive paper rubbing and other treatment, can be well attached to the skin during muscle contraction, has good signal quality and strong anti-interference capability, and can realize long-term and continuous electromyographic signal monitoring.
2) The multi-channel high-density flexible micro-needle array sensing unit designed by the invention adopts a modular design, and is easy to expand to more channels and even to multi-muscle group measurement.
3) The multi-channel high-density flexible micro-needle array sensing unit designed by the invention can be integrated on an elbow guard, a wrist guard or a sports vest at the later stage.
4) The signal conditioning circuit designed by the invention adopts few components, has simple circuit and low cost, minimizes the design volume and maximizes the result.
5) The micro-needle array measuring system for measuring the electromyographic signals, which is designed by the invention, can obtain the information of the cooperative muscle part and the muscle state related to the movement, and can be subsequently used for providing guidance for medical rehabilitation and movement research, checking the rehabilitation process and making a training plan.
Drawings
FIG. 1 is a schematic diagram of the spatial arrangement of 3 representative channel electrodes of the present invention;
FIG. 2 is a schematic diagram of a microneedle array based on muscle fiber status at different locations according to the present invention;
FIG. 3 is a schematic diagram of an electrode trace of a flexible printed circuit board according to the present invention;
FIG. 4 is a schematic diagram of a multi-channel, high-density flexible microneedle array sensing unit according to the present invention;
fig. 5 is three wearing schematic diagrams of the flexible microneedle array sensing unit of the present invention;
FIG. 6 is a schematic diagram of the primary filtering amplifier circuit of the present invention;
FIG. 7 is a schematic diagram of a secondary filter amplifier circuit according to the present invention;
FIG. 8 is a comparison graph of the effect of the flexible micro-needle array sensing unit of the present invention in the time domain with the signals acquired by the conventional myoelectric wet electrode;
FIG. 9 is a comparison graph of noise doped in signals acquired by using the flexible microneedle array sensing unit of the present invention and a conventional myoelectric wet electrode;
fig. 10 is a comparison graph of the effect in the frequency domain of signals acquired by using the flexible microneedle array sensing unit of the present invention and a conventional myoelectric wet electrode.
In the figure: 11. the flexible substrate, 12, copper electrode, 13a, wire, 13b, wire leading-out terminal, 21, medical adhesive tape, 22a, square base, 22b, conical micropin.
Detailed Description
The invention will be better understood and explained with additional specificity and detail through the use of the accompanying drawings.
The invention comprises a flexible micro-needle array sensing unit, a signal conditioning module, a signal acquisition module and a computer;
the flexible micro-needle array sensing unit is connected with the signal acquisition module through the signal conditioning module, and the signal acquisition module is connected with the computer; the flexible micro-needle array sensing unit measures an original electromyographic signal, the original electromyographic signal is subjected to filtering, correction and amplification pretreatment by the signal conditioning module and then transmitted to the signal acquisition module, the signal acquisition module finishes digital acquisition of the electromyographic signal, and the acquired electromyographic signal is sent to the computer for analysis and storage.
In this embodiment, the signal acquisition module uses an off-the-shelf acquisition card NI USB-6218, which is multi-channel.
The flexible micro-needle array sensing unit is fixed along the direction of the muscle fiber or perpendicular to the direction of the muscle fiber, the flexible micro-needle array sensing unit measures signals of a single muscle or signals of a plurality of muscles simultaneously, and due to the modularization of the flexible micro-needle array sensing unit, the flexible micro-needle array sensing unit is easy to expand to more channels and even to multiple muscle groups for measurement. As shown in fig. 5, a and b in fig. 5 (a) respectively show how a single sensing unit is worn along the muscle fiber and the vertical muscle fiber, and can measure both single muscle and multiple muscle signals. Fig. 5 (B) shows a mode of using a plurality of sensing units together, which can measure a plurality of muscles or a plurality of muscle groups.
The flexible micro-needle array sensing unit consists of a flexible circuit board and a micro-needle electrode array, the micro-needle electrode array is fixedly arranged on the flexible circuit board, and the flexible circuit board is electrically connected with the signal conditioning module;
the micro-needle electrode array is composed of a plurality of channel electrodes, the plurality of channel electrodes are arranged on flexible circuit boards in various shapes in an array form, and the array form is as follows: the plurality of channel electrodes are arranged in rows and columns according to the rectangular array, and the number of the channel electrodes at the edges is increased or decreased according to the shape of the flexible circuit board, so that the channel electrodes are fully distributed on the whole flexible circuit board; the array form of the channel electrodes has a linear arrangement of m × n, a circumferential or elliptical arrangement of radius r, a polygonal arrangement of side length a, and an arbitrary regular arrangement. As shown in fig. 1, (a), (b) and (c) of fig. 1 are in the form of an array of a linear arrangement, a circumferential arrangement and a regular hexagonal arrangement, respectively. The multi-channel high-density flexible microneedle array sensing units in this embodiment are all described using the 1 st linear arrangement. The interval between two adjacent channel electrodes is 3-5 mm.
As shown in fig. 3, the flexible circuit board includes a flexible substrate 11, a plurality of leads 13a, and a plurality of copper electrodes 12; the multiple copper electrodes 12 and the multiple channel electrodes are arranged on the flexible substrate 11 in the same array form, each copper electrode 12 is electrically connected with one end of a corresponding conducting wire 13a, the other end of each copper electrode 12 corresponding to the conducting wire 13a and the other end of the copper electrode 12 adjacent to the current copper electrode 12 corresponding to the conducting wire 13a are electrically connected with a signal conditioning module, the signal conditioning module differentially outputs signals on the two conducting wires 13a, namely, the original electromyographic signals measured by the two adjacent channel electrodes are differentially output to the corresponding signal acquisition module through the signal conditioning module, the number of the signal conditioning modules is the same as the number of the acquisition channels in the signal acquisition module, one end of the conducting wire 13a connected with the signal conditioning module is used as a conducting wire leading-out end 13b, and the rest of the conducting wire leading-out end 13b are wrapped by a layer of insulating film except that the copper electrode 12 and the conducting wire leading-out end 13b are exposed. The number of the leads 13a is the same as that of the copper electrodes 12, and the plurality of via electrodes are respectively bonded to the corresponding copper electrodes 12 by conductive adhesive, so that the plurality of via electrodes are fixedly mounted on the flexible substrate 11.
As shown in fig. 4, the plurality of channel electrodes have the same structure, each channel electrode includes a square base 22a and a plurality of conical microneedles 22b, the plurality of conical microneedles 22b are arranged on the square base 22a in an m × n array, and the square base 22a and the conical microneedles 22b are integrally formed by a silicon material. The diameter of the bottom of each conical microneedle 22b is 50-300 μm, and the height of each conical microneedle 22b is 100-300 μm. The number and size of the conical microneedles 22b of the channel electrodes and the specific values of the m × n array can be arbitrarily combined and adjusted according to the requirements of muscle positions, the number, the size and the density of muscle fibers, and the spatial resolution among the signals of each channel is maximized and the mutual crosstalk is minimized. As shown in fig. 2, which is a schematic diagram of the arrangement of conical microneedles based on the state of muscle fibers at different positions, d1 and d2 are the distances between microneedles, and d1> d 2.
In this embodiment, the channel electrodes have a 9 × 2 linear arrangement layout, and constitute 25 differential pair outputs. The flexible micro-needle array sensing unit is 22mm in overall width and 90mm in length.
The flexible circuit board is made of polyimide, and the thickness of the flexible circuit board is not more than 1 mm.
And two ends of the flexible circuit board are also provided with a biocompatible film for fixing, and the biocompatible film adopts medical adhesive plaster 21.
The surface electromyographic signals have the characteristics of infirmity and non-stationarity, the energy is concentrated in 0-500 HZ, and the useful frequency range is 20-450 HZ. Therefore, the signal conditioning circuit of the invention performs about 1000 times (60dB) amplification and 20-450HZ band-pass filtering on the surface myoelectric signal. The signal conditioning module comprises two stages of filtering and amplifying circuits, the input of the primary filtering and amplifying circuit is connected with the flexible microneedle array sensing unit, the output of the primary filtering and amplifying circuit is connected with the input of the secondary filtering and amplifying circuit, and the output of the secondary filtering and amplifying circuit is connected with a corresponding channel in the signal acquisition module. The filtering and amplifying circuit is composed of a resistor, a capacitor and an amplifier. As shown in fig. 6, the primary filtering and amplifying circuit is specifically: an instrument amplifier AD8221 is adopted, the other ends of leads 13a of two channel electrodes are used as two inputs of a primary filter amplifying circuit, the other ends of leads 13a of the two channel electrodes are respectively connected with a positive input end and a negative input end of the instrument amplifier AD8221, a capacitor Cg is connected in series at a gain resistor Rg of the instrument amplifier, a positive power supply end of the instrument amplifier AD8221 is respectively connected with a power supply + VCC and is grounded after passing through a capacitor C10, a negative power supply end of the instrument amplifier AD8221 is respectively connected with a power supply-VCC and is grounded after passing through a capacitor C11, a reference end of the instrument amplifier AD8221 is grounded, an output end of the instrument amplifier AD8221 after passing through a resistor R1 and a resistor R2 is used as an output of the primary filter amplifying circuit and is connected with an input of a secondary filter amplifying circuit, and an output end of the instrument amplifier AD8221 after passing through a resistor R1 and a resistor R2 is grounded after passing through a capacitor C1.
As shown in fig. 7, the secondary filtering and amplifying circuit is specifically: a common rail-to-rail operational amplifier OPA2365 is used. The input of the secondary filter amplifying circuit is connected with one end of a resistor R5, the other end of a resistor R5 is respectively connected with one ends of a capacitor C3, a capacitor C2 and a resistor R4, the other end of a capacitor C3 is respectively connected with a power supply and one end of a resistor R6, the other end of the resistor R6 is respectively connected with one end of a resistor Rf and the inverting input end of a rail-to-rail operational amplifier OPA2365, the other end of the capacitor C2 is respectively connected with the non-inverting input end of the rail operational amplifier OPA2365 and grounded after passing through a resistor R3, the other ends of the resistor R4 and the resistor Rf are both connected with the output end of the rail operational amplifier OPA2365, and the output end of the rail operational amplifier OPA2365 is used as the output of the signal conditioning module.
The primary filtering amplifying circuit realizes first-order high-pass filtering by serially connecting a filtering capacitor Cg at a gain resistor Rg of the operational amplifier, and filters low-frequency noise signals below 20 HZ. The target gain K of the primary filter amplifier circuit is:
the transfer function G is then:
wherein R is0The correlation constant of the AD8221 amplifier was 49.4k Ω. The selection of an appropriate gain resistor of 0.82k omega and filter capacitor of 10 muF achieves a 60.8 times (35.68dB) amplification. The output end of the instrumentation amplifier filters interference signals higher than 455HZ through access resistors R1 and R2 and a capacitor C1. Component parameters: c1 ═ 100nF, R1 ═ 1.5K Ω, and R2 ═ 2K Ω. The instrument amplifier is powered by double power supplies, and the power supply voltage is +/-3.3V. The capacitors C10 and C11 are used for filtering out electricityThe high frequency ripple in the source was 10 μ F each.
FIG. 7 shows a secondary filter amplifier circuit, which is a second-order voltage-controlled active band-pass filter amplifier circuit, with a transfer function AuIs composed of
Wherein A isu0For passband voltage amplification, w0The center angular frequency of the pass band and Q are quality factors, and the parameters of each component in the figure are respectively as follows: r6 ═ 47k Ω, R5 ═ 390 Ω, R3 ═ 1.39M Ω, R4 ═ 430 Ω, Rf ═ 47k Ω, C3 ═ 0.1 μ F, C2 ═ 0.1 μ F, and amplification by a factor of 21.4 (26.59dB) is achieved. And then synchronously acquiring and transmitting the data to a computer through a multi-channel acquisition card so as to perform subsequent storage, display, on/off-line analysis, evaluation, application and the like.
The electromyographic signals finally received by the computer are interfered by power frequency signals, so 50HZ trap processing is required to obtain target electromyographic signals. And mapping the target electromyographic signals to a space 3-dimensional time domain amplitude network, rectifying, correcting, extracting characteristics, selecting optimal information and the like on the network to obtain muscle information at the measurement part, and analyzing, evaluating and guiding the subsequent exercise training and rehabilitation management.
Specifically, the network is rectified, a voltage network with positive and negative changes is converted into a positive single-side voltage network, then the reception fields with different sizes are divided, median filtering is carried out on the reception field area, and the method is beneficial to eliminating speckle noise and salt and pepper noise and correcting the network. And then carrying out full-network feature extraction, including Root Mean Square (RMS), maximum value (MAX), minimum value (MIN), absolute mean value (MAV) and Variance (VAR), reflecting the activation degree and state of the muscle. In addition, local network positions of signal amplitude values of 80% -100% MAX and 100% -MIN are gradually searched out, muscle parts which are related to certain action and play a main role or are under-trained and weak are reflected, the subsequent rehabilitation scheme, the formulation and evaluation of a training plan and the source finding of pathogeny are facilitated, and the positions and the action are recorded in a one-to-one correspondence mode. Meanwhile, the network is subjected to framing processing to obtain a series of time channel networks, all time channels are subjected to full-network feature extraction and intra-frame feature extraction respectively, and then an optimal information selection mechanism, such as linear or nonlinear dimension reduction, is utilized to obtain preferred muscle features.
The calculation formula of the signal-to-noise ratio SNR and the power P of the electromyographic signal is as follows:
wherein PS and PN represent electromyographic signal power and noise power respectively, N is the total data point number of the sampled electromyographic signal, xiThe signal amplitude of the ith data point is shown, and the power P is the electromyographic signal power or the noise power, namely the calculation formulas of the electromyographic signal power and the noise power are the same.
Fig. 8, 9 and 10 show comparison graphs of signals acquired by using the flexible microneedle array sensing unit of the present invention and a conventional wet electrode.
Fig. 8 is a comparison graph of the effect of the flexible micro-needle array sensing unit of the present invention in the time domain of signals acquired by using a conventional myoelectric wet electrode. As can be seen, the waveforms of the electromyographic signals acquired by the two electrodes are similar in time domain. And respectively calculating the signal-to-noise ratio of the two signals to evaluate the performance of the electrode.
Fig. 9 is a graph comparing noise doped in signals acquired by using the flexible microneedle array sensing unit of the present invention and a conventional myoelectric wet electrode. The performance of the electrode is evaluated by the absolute mean value (MAV) of the baseline by using the baseline signal recorded when muscles are inactive as the noise, and as can be seen from the figure, the absolute mean value (MAV) of the baseline measured by the flexible microneedle array sensing unit is small, so that the flexible microneedle array sensing unit has a small noise level.
Fig. 10 is a comparison graph of the effect in the frequency domain of signals acquired by using the flexible microneedle array sensing unit of the present invention and a conventional myoelectric wet electrode. It can be seen that the electromyographic signals acquired by the two electrodes are similar in frequency spectrum distribution, and the main energy is concentrated in 20-450 HZ.
Compared with the prior art, the flexible micro-needle array sensing unit has the advantages that the quality of the collected electromyographic signals is high, the introduced noise is low, the signal-to-noise ratio is high, low-frequency signals are obviously filtered, and high-frequency signals are effectively inhibited, so that the flexible micro-needle array sensing unit realizes the effective collection of the electromyographic signals.
The above-described embodiments are merely preferred embodiments of the present invention, which are provided for illustration and not for limiting the present invention. Any modification, equivalent replacement, improvement, etc. made by those skilled in the art without departing from the spirit and principle of the present invention may be made by using other materials and processes to fabricate the array micro-needle and its base, or by using other connection methods such as selecting other high-pass, low-pass, band-pass filter circuit and operational amplifier, etc. to bond the array micro-needle to the flexible circuit board, which is included in the protection scope of the present invention.
Claims (8)
1. A micro-needle array measuring system for measuring electromyographic signals is characterized by comprising a flexible micro-needle array sensing unit, a signal conditioning module, a signal acquisition module and a computer;
the flexible micro-needle array sensing unit is connected with the signal acquisition module through the signal conditioning module, and the signal acquisition module is connected with the computer; the flexible micro-needle array sensing unit measures original electromyographic signals, the original electromyographic signals are preprocessed by the signal conditioning module and then transmitted to the signal acquisition module, the signal acquisition module finishes digital acquisition of the electromyographic signals, and the acquired electromyographic signals are transmitted to the computer to be analyzed and stored.
2. The micro-needle array measuring system for electromyographic signal measurement according to claim 1, wherein the flexible micro-needle array sensing unit is composed of a flexible circuit board and a micro-needle electrode array, the micro-needle electrode array is fixedly mounted on the flexible circuit board, and the flexible circuit board is electrically connected with the signal conditioning module;
the microneedle electrode array consists of a plurality of channel electrodes which are arranged on a flexible circuit board in an array form, and the flexible circuit board comprises a flexible substrate (11), a plurality of leads (13a) and a plurality of copper electrodes (12); the multiple copper electrodes (12) and the multiple channel electrodes are arranged on the flexible substrate (11) in the same array form, each copper electrode (12) is electrically connected with one end of a corresponding lead (13a), the other end of each copper electrode (12) corresponding to the lead (13a) and the other end of the lead (13a) corresponding to the copper electrode (12) adjacent to the current copper electrode (12) are electrically connected with a signal conditioning module, the signal conditioning module outputs signals on the two leads (13a) in a differential mode, the multiple channel electrodes are respectively connected to the corresponding copper electrodes (12) through conductive glue, and the multiple channel electrodes are fixedly mounted on the flexible substrate (11).
3. The micro-needle array measuring system for electromyographic signal measurement according to claim 2, wherein the interval between two adjacent channel electrodes is 3-5 mm.
4. The micro-needle array measuring system for electromyographic signal measurement according to claim 2, wherein the plurality of channel electrodes are identical in structure, each channel electrode comprises a square base (22a) and a plurality of conical micro-needles (22b), the plurality of conical micro-needles (22b) are arranged on the square base (22a) in an m x n array, the diameter of the bottom of each conical micro-needle (22b) is 50-300 μm, and the height of each conical micro-needle (22b) is 100-300 μm.
5. The micro-needle array measuring system for electromyographic signal measurement according to claim 2, wherein the flexible circuit board is made of polyimide, and the thickness of the flexible circuit board is not more than 1 mm.
6. The micro-needle array measuring system for electromyographic signal measurement according to claim 2, wherein a bio-compatible film for fixation is further provided at both ends of the flexible circuit board, and the bio-compatible film is a medical adhesive tape (21).
7. The micro-needle array measuring system for electromyographic signal measurement according to claim 1, wherein the signal conditioning module comprises a two-stage filter amplifying circuit, an input of the primary filter amplifying circuit is connected to the flexible micro-needle array sensing unit, an output of the primary filter amplifying circuit is connected to an input of the secondary filter amplifying circuit, and an output of the secondary filter amplifying circuit is connected to the signal acquisition module.
8. The micro-needle array measuring system for electromyographic signal measurement according to claim 1,
the flexible micro-needle array sensing unit is fixed along the direction of muscle fibers or perpendicular to the direction of the muscle fibers, and the flexible micro-needle array sensing unit detects signals of a single muscle or simultaneously detects signals of a plurality of muscles.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115349876A (en) * | 2022-09-22 | 2022-11-18 | 北京市神经外科研究所 | Wearable wireless facial myoelectricity collection system and myoelectricity collection system |
| WO2024065720A1 (en) * | 2022-09-30 | 2024-04-04 | 深圳市韶音科技有限公司 | Method for monitoring running of user, and signal acquisition apparatus |
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