CN101422362A - Wireless cardiac bioelectricity monitoring system with motion artifact elimination function - Google Patents
Wireless cardiac bioelectricity monitoring system with motion artifact elimination function Download PDFInfo
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- CN101422362A CN101422362A CNA2008102198219A CN200810219821A CN101422362A CN 101422362 A CN101422362 A CN 101422362A CN A2008102198219 A CNA2008102198219 A CN A2008102198219A CN 200810219821 A CN200810219821 A CN 200810219821A CN 101422362 A CN101422362 A CN 101422362A
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Abstract
The invention discloses a wireless electrocardiograph monitoring system with a function for eliminating motion artifacts, which comprises a first electrode RA, a second electrode LL, a signal acquisition module and an upper computer, wherein, the signal acquisition module comprises an electrocardiosignal processing circuit, an electrode skin resistance signal processing circuit and a wireless radio frequency circuit. The upper computer is connected with a coordinator and the wireless radio frequency circuit is connected with the coordinator in a wireless manner through the ZigBee technology; electrocardiosignals are extracted by the electrocardiosignal processing circuit and sent to the wireless radio frequency circuit. The electrode skin resistance signal processing circuit is used for extracting electrode skin resistance signals and then sending the skin resistance signals to the wireless radio frequency circuit which is used for sending the electrocardiosignals and the electrode skin resistance signals to the upper computer. The upper computer adopts the electrode skin resistance signals as reference signals and the electrocardiosignals as the main input signals, and outputs the electrocardiosignals without any interference from the motion artifacts after the signals are processed by a self-adapting filtering algorithm.
Description
Technical field
The invention belongs to the medical electronics instrument field, particularly a kind of electrocardiogram monitor system.
Background technology
In the monitoring process or Road test of HM, motion artifact is individual very severe noise interference source, generally cause by breathing or human motion, can cause detected electrocardiosignal the baseline drift phenomenon to occur, influenced the stability and the reliability of electrocardiosignal, made alarm send wrong alarm signal, be unfavorable for timely diagnosis and the treatment of doctor the patient health situation, during serious interference even the treatment that can cause the doctor to make making mistake decision, the life security that threatens patient.Existing electrocardiogram monitor system, the resistance-capacitance coupling high-pass filtering circuit isolated DC signals of using in the ecg signal acquiring hardware circuit more, thereby eliminated baseline drift phenomenon by caused electrocardiosignaies of low-frequency disturbance such as direct current signal or human body respirations, and when the patient of tutelage is under the daily life state or carries out an amount of outdoor activity, the electrocardiosignal that collects will be subjected to the interference of very big motion, cause electrocardiosignal and more serious baseline drift phenomenon occurs, the baseline drift phenomenon that causes thus can't be eliminated by simple resaistance-capacity coupling circuit.
Summary of the invention
The present invention is directed to the deficiencies in the prior art, provide a kind of motion artifact to eliminate the radio electrocardiographicmonitoring monitoring system of function.
Purpose of the present invention is achieved through the following technical solutions:
A kind of electrocardio wireless monitoring system with motion artifact elimination function is characterized in that: comprise first electrode RA, the second electrode LL, signal acquisition module and host computer; Signal acquisition module comprises electrocardiosignal treatment circuit, electrode Skin Resistance signal processing circuit and wireless radio frequency circuit, and host computer is connected with coordinator, and wireless radio frequency circuit is by ZigBee technology and coordinator wireless connections; The electrocardiosignal treatment circuit is connected with the second electrode LL with first electrode RA, and electrode Skin Resistance signal processing circuit also is connected with the second electrode LL with first electrode RA; Extract electrocardiosignal after the signal process electrocardiosignal processing circuit processes of first electrode RA and the second electrode LL and be sent to wireless radio frequency circuit, extract electrode Skin Resistance signal after the signal of first electrode RA and the second electrode LL is handled through electrode Skin Resistance signal processing circuit and send wireless radio frequency circuit to, wireless radio frequency circuit sends electrocardiosignal and electrode Skin Resistance signal to host computer, host computer is a reference signal with electrode Skin Resistance signal, handles back output no motion artifact interferential electrocardiosignal for the primary input signal by the adaptive-filtering Canceller with the electrocardiosignal.
Described wireless radio frequency circuit comprises CC2430 kernel, pulse generating module, data acquisition module and RF transceiver; Wherein pulse generating module produces one road pulse excitation signal, produces the two-way pulse excitation signal behind frequency division, is respectively applied for excitation first electrode RA and the second electrode LL.
Described electrocardiosignal treatment circuit comprises first pre-amplification circuit, second order simulation low-pass filter circuit, first single order simulation high-pass filtering circuit and first main amplifying circuit successively.Further, the described first pre-amplification circuit amplification is 10～15; Second order simulation low-pass filter circuit cut-off frequency is 35～50Hz; First single order simulation high-pass filtering circuit cut-off frequency is 0.044～0.049Hz; The first main amplifying circuit amplification is 35～40.
Described electrode Skin Resistance signal processing circuit comprises second pre-amplification circuit, second single order simulation high pass circuit, full-wave rectifying circuit, analog bandpass filtering circuit and second main amplifying circuit successively.Further, the described second pre-amplification circuit amplification is 10～15; Second single order simulation high-pass filtering circuit cut-off frequency is 100～106Hz; The lower limiting frequency of analog bandpass filtering circuit is 0.14～0.17Hz, and upper cut off frequency is 102～108Hz; The second main amplifying circuit amplification is 45～50.
For realizing the little wireless type cardiac monitoring of the suffered noise jamming of patient in hospital ward or the community, for the patient provides comfortable, reliable and stable cardiac monitoring service, the present invention adopts the Wearable detection technique, patient is comprised the real-time detection that is subjected to interferential electrocardiosignal of electrode Skin Resistance and electrode Skin Resistance signal, and adopt up-to-date ZigBee short-distance wireless communication technology, structure is based on ward or the community wireless electrocardiogram monitor system of ZigBee, be subjected to interferential electrocardiosignal of electrode Skin Resistance and the electrode Skin Resistance signal that collect are sent on the host computer, utilize the digital adaptive filter of host computer that two paths of signals is handled, export the electrocardiographic wave of the interferential baseline stability of no motion artifact, utilizing wave digital lowpass filter to eliminate power frequency at last disturbs, each wave band of the electrocardiographic wave that obtains is clear easily to be distinguished, respond well.The present invention have eliminate that motion artifact interferences, signal stabilization height, no baseline drift, low-power consumption, low cost, networking make things convenient for, detected parameters accurately and reliably, expand advantages such as interaction capabilities is good.The motion artifact technology for eliminating can detect the motion artifacts signal of cardiac monitoring patient under the daily life state or when carrying out outdoor activity in real time, and gather with being subjected to the interferential electrocardiosignal synchronous detecting of electrode Skin Resistance, be transferred to host computer by ZigBee short-distance wireless communication mode, realized that the patient enjoys the hommization medical services of radio electrocardiographicmonitoring monitoring.In addition, the ZigBee wireless communication technique that adopts, not only can realize wireless cardioelectric monitor long-term, that continue, and can carry out real-time demonstration to patient's health status and cardiac function physiologic information, help doctor's the consultation of doctors, also can realize supervision warning, information storage and wireless transmission electrocardiosignal.The motion artifact that native system can effectively be eliminated in the electrocardiosignal disturbs, and obtains the high-quality electrocardiosignal, helps the doctor to diagnose according to the feature of signal more efficiently.
The present invention compared with prior art has following advantage and effect:
1. utilize auto-adaptive filtering technique; the two-way coherent signal that collects is carried out adaptive-filtering to be handled; obtained the interferential electrocardiosignal of no motion artifact, realized that the electrocardiosignal of patient under daily routines or kinestate detects, and increased tutelage patient's freedom of movement.
2. utilize the ZigBee technology, with integrated as a whole electrocardiosignal detection module after sensor assembly and the microminiaturization of ZigBee module, the close-fitting type of realizing the electrocardiosignal wireless transmission detects, make things convenient for patient to dress, significantly reduce patient's wired connection on one's body, made things convenient for the doctor that patient is carried out various treatment operations.Adopt ZigBee to substitute traditional wired connection, make human body in the raw, detecting the electrocardiosignal that obtains can more real reaction body physiological state; Patient's tutelage scope can expand the lesion to from the ward, has increased patient's activity space greatly.Whole system has that stronger adaptive motion artifact is eliminated function, low-power consumption, microminiaturization, low cost, networking is convenient, detection signal is stable, the characteristics of limitless drift, high reliability.
Description of drawings
Fig. 1 has the radio electrocardiographicmonitoring monitoring system general illustration that motion artifact is eliminated function.
Fig. 2 is the signal acquisition module detailed diagram.
Fig. 3 is an electrocardiosignal treatment circuit schematic diagram.
Fig. 4 is an electrode Skin Resistance signal processing circuit schematic diagram.
Fig. 5 is an adaptive-filtering treatment technology theory diagram.
Fig. 6 is a LMS adaptive filter algorithm program flow diagram.
The specific embodiment
The present invention is described in further detail below in conjunction with accompanying drawing.
Have motion artifact as shown in Figure 1 and eliminate the radio electrocardiographicmonitoring monitoring system of function, mainly comprise following four parts: (1) can be installed in patient's electrocardioelectrode pick off on one's body, i.e. first electrode RA 1 and the second electrode LL2; (2) signal acquisition module 3; (3) coordinator 4; (4) host computer 5, comprise the data analysis processing module.Carry out wireless telecommunications by the ZigBee technology between signal acquisition module 3 and the coordinator 4, coordinator 4 links to each other with host computer 5 by RS232 interface or USB interface.
The present invention is based on the ZigBee technology and carry out wireless connections, be divided into front end and rear end, Fig. 2 is the detailed diagram of fore-end, and front end is microminiaturized hardware, comprises the electrocardioelectrode pick off, i.e. first electrode RA 1 and the second electrode LL2; Also comprise signal acquisition module 2, signal acquisition module 2 comprises electrocardiosignal treatment circuit 6, electrode Skin Resistance signal processing circuit 9 and wireless radio frequency circuit 8, wireless radio frequency circuit 8 is a core with CC2430, realizes wireless data transmission by ZigBee and coordinator 4.Electrocardioelectrode pick off and electrocardiosignal treatment circuit 6, electrode Skin Resistance signal processing circuit 9 is taked the mode of wired connection, convert the physiological signal of gathering to the signal of telecommunication, and disturb inhibition, pretreatment such as signal filtering amplification, by the built-in ADC of CC2430 data are sampled then, quantize, the RF emitter that digital signal after will changing is again sent into based on the ZigBee technology is sent to coordinator 4, coordinator 4 is sent to host computer 5 with data by RS232 or USB, utilize the adaptive-filtering treatment technology, carry out analyzing and processing by 5 pairs of data of host computer, after eliminating the motion artifact interference, and further signal is carried out second order integral coefficient low-pass filtering, filtering power frequency and humorous wave interference thereof obtain meeting the ecg wave form of clinical diagnosis requirement, realize the detection of dynamic of electrocardiosignal.Host computer 5 is except as data AM access module and the data analysis processing module, also have functions such as network service, auxiliary diagnosis, abnormal alarm, database access, graphical man-machine interface, can carry out certain observation to certain patient's ecg information, for doctor and patient provide human nature service.
The pulse generating module of wireless radio frequency circuit 8 produces the pumping signal of 1KHz, and producing frequency behind frequency dividing circuit 7 frequency divisions is the two-way pulse excitation signal of 500Hz, is used to encourage first electrode RA 1 and the second electrode LL2 of electrocardioelectrode pick off.
On the one hand be EGC sensor collect be subjected to the interferential electrocardiosignal of electrode Skin Resistance, at first carry out preposition amplification by the electrocardiosignal treatment circuit, can select for use the AD620 instrument amplifier as system's preamplifier, AD620 is the monolithic instrument amplifier of modified model tradition three amplifier modes, can make system have advantages such as low noise, low drift and high s/n ratio, and volume is little, and is easy to use.Its gain is to regulate by the resistance R G between 1 foot and 8 feet, can reach 1～1000 times, and the Calculation of Gain formula is:
The present invention is according to the experimental debugging situation, as a kind of preferred version, the amplification of the first order is 13 times, signal after preposition amplification, again through cut-off frequency is the second-order low-pass filter of 35Hz with cut-off frequency is 0.044Hz single order high-pass filtering processing, suppressed the interferential while of power frequency, also every DC voltage that removes preamplifier and dc polarization voltage, prevent the baseline drift that direct current signal causes, guarantee the distortionless next stage that is coupled to of electrocardiosignal, be that 35 times main amplifying circuit further amplifies signal by amplification at last, it is less to obtain noise jamming, the electrocardiosignal that amplitude size is suitable helps the AD conversion process of signal.Electrocardiosignal treatment circuit schematic diagram as shown in Figure 3, each component parameter is the data of this preferred version among the figure.
On the other hand, equally be subjected to the interferential electrocardiosignal of electrode Skin Resistance by the EGC sensor collection, carry out preposition amplification by skin electrode impedance treatment circuit, the preamplifier here adopts AD620 equally, as preferred version, amplification is 10 times, be the single order high-pass filtering circuit of 106Hz then through cut-off frequency, every DC voltage that removes preamplifier and dc polarization voltage, prevent the baseline drift that direct current signal causes, guaranteeing that signal is distortionless is coupled in the next stage, because through being subjected in the interferential electrocardiosignal of electrode Skin Resistance of the preposition amplification output of AD620, contain the signal of electrode Skin Resistance signal after the amplitude modulation modulation, in order to obtain electrode Skin Resistance signal, need this signal demodulation, therefore, and then be that signal is carried out demodulation process, promptly pass through full-wave rectifying circuit, obtained electrode Skin Resistance signal, this signal also contains a large amount of DC component, high-frequency noise, need carry out bandpass filtering treatment to it, the bandwidth-limited circuit lower limiting frequency is 0.15Hz, upper cut off frequency is 106Hz, simultaneously, signal after demodulation only is the millivolt level, thus need further processing and amplifying, for this reason, 's 50 times main amplifying circuit with signal by amplification, exported the amplitude requirement that meets signal AD conversion, electrode Skin Resistance signal processing circuit schematic diagram as shown in Figure 4, each component parameter is the data of this preferred version among the figure.
After built-in ADC carries out the A/D conversion among the two paths of signals access CC2430 after handling, realize wireless data transmission by ZigBee less radio-frequency and coordinator 4.Advantages such as the whole data collection module has microminiaturization, wireless penetration, low-power consumption, capacity of resisting disturbance is strong, portable and comfortable have met the specific demand of current people to health care.
As shown in Figure 5, be host computer adaptive-filtering treatment technology theory diagram.Adopt auto-adaptive filtering technique, because it has stronger adaptability and more excellent filtering performance, its object of study is to have uncertain system or information process, and promptly handled mathematics model is not completely specified.And we are in the detection of electrocardiosignal, since patient's muscle tone, breathing or motion etc. the noise jamming that causes mix, therefore, these noises are with respect to electrocardiosignal, also has very big uncertainty, want these information of integrated treatment, make the electrocardiosignal after the processing reach optimum index, just need use auto-adaptive filtering technique and solve.Auto-adaptive filtering technique has advantages such as calculating is simple, fast convergence rate, be widely used at present, it changes its characteristic automatically by the optimization that makes inner parameter, because the electrocardiosignal that we gather is in the strong noise background interference, especially the interference that causes such as human motion, often non-stationary with time dependent, be difficult to this moment solve signal extraction problem in the strong noise background with traditional method.The adaptive noise cancellation technology is a kind of method of effective noise reduction, when system can provide good reference signal, be equivalent to the electrode Skin Resistance signal among the present invention, it need be about the priori of input signal, amount of calculation is little, be specially adapted to real-time processing, and can obtain good extraction effect.The primary input termination is received the interferential electrocardiosignal d of electrode Skin Resistance (n), and X1 (n) is an electrode Skin Resistance interfering signal, and S is pure electrocardiosignal.The reference signal of reference input is X (n), be one irrelevant with pure electrocardiosignal S, but the electrode Skin Resistance signal relevant with X1 (n).Contain the additive noise electrode Skin Resistance signal that remains to be offset in the primary input, with reference to the noise X1 (n) in the primary input of input aligning.Utilize the independence of dependency and the pure electrocardiosignal and the impedance signal of two input impedance noises, make with reference to input and approach and subtract each other output error signal by electrode Skin Resistance component in sef-adapting filter and the primary input.Adaptive filter algorithm decision wave filter is to the processing of reference signal X (n), makes the output of wave filter approach the interference component in the primary input as much as possible.So the output y (n) of wave filter approaches the output e (n) that X1 (n) is equivalent to system and approaches pure electrocardiosignal S under the optimum criterion meaning.Thereby the outfan at the noise cancellation device has improved signal to noise ratio widely.
The present invention has adopted the LMS adaptive filter method that signal is handled.
LMS (lowest mean square) algorithm, the idiographic flow of this algorithm is as shown in Figure 6: wherein, W (n) is the tap weights vector, it is the coefficient of sef-adapting filter, it will be adjusted automatically according to output error, the final optimal value that obtains makes the output signal y (n) of wave filter approach Skin Resistance signal X1 (n), obtains not having the interferential electrocardiosignal of motion artifact.Wherein μ is used for the step parameter of control stability and convergence rate.For guaranteeing the stability of adaptive process, μ must satisfy 0＜μ＜2/MP
In, M is filter length, wherein P
In=E[X
2(n)] be input power.
The key step that LMS (lowest mean square) algorithm is realized is: (1) is subjected to the electrocardio-data collection and the generation of noise jamming, gets d (n); X (n) is got in the collection and the generation of electrode Skin Resistance signal; (2) to the initialization of parameter; (3) Filtering Processing of adaptive algorithm; (4) filter coefficient update; (5) output approaches the interferential electrocardiosignal of no motion artifact, and promptly the e in the program (n) approaches pure electrocardiosignal S.
Claims (6)
1, a kind of electrocardio wireless monitoring system with motion artifact elimination function is characterized in that; Comprise first electrode RA, the second electrode LL, signal acquisition module and host computer; Signal acquisition module comprises electrocardiosignal treatment circuit, electrode Skin Resistance signal processing circuit and wireless radio frequency circuit, and host computer is connected with coordinator, and wireless radio frequency circuit is by ZigBee technology and coordinator wireless connections; The electrocardiosignal treatment circuit is connected with the second electrode LL with first electrode RA, and electrode Skin Resistance signal processing circuit also is connected with the second electrode LL with first electrode RA; Extract electrocardiosignal after the signal process electrocardiosignal processing circuit processes of first electrode RA and the second electrode LL and be sent to wireless radio frequency circuit, extract electrode Skin Resistance signal after the signal of first electrode RA and the second electrode LL is handled through electrode Skin Resistance signal processing circuit and send wireless radio frequency circuit to, wireless radio frequency circuit sends electrocardiosignal and electrode Skin Resistance signal to host computer, host computer is a reference signal with electrode Skin Resistance signal, handles back output no motion artifact interferential electrocardiosignal for the primary input signal by the adaptive-filtering Canceller with the electrocardiosignal.
2, electrocardio wireless monitoring system according to claim 1 is characterized in that, described wireless radio frequency circuit comprises CC2430 kernel, pulse generating module, data acquisition module and RF transceiver; Wherein pulse generating module produces one road pulse excitation signal, produces the two-way pulse excitation signal behind frequency division, is respectively applied for excitation first electrode RA and the second electrode LL.
3, electrocardio wireless monitoring system according to claim 1, it is characterized in that described electrocardiosignal treatment circuit comprises first pre-amplification circuit, second order simulation low-pass filter circuit, first single order simulation high-pass filtering circuit and first main amplifying circuit successively.
4, electrocardio wireless monitoring system according to claim 3 is characterized in that, the described first pre-amplification circuit amplification is 10～15; Second order simulation low-pass filter circuit cut-off frequency is 35～50Hz; First single order simulation high-pass filtering circuit cut-off frequency is 0.044～0.049Hz; The first main amplifying circuit amplification is 35～40.
5, electrocardio wireless monitoring system according to claim 1, it is characterized in that described electrode Skin Resistance signal processing circuit comprises second pre-amplification circuit, second single order simulation high pass circuit, full-wave rectifying circuit, analog bandpass filtering circuit and second main amplifying circuit successively.
6, electrocardio wireless monitoring system according to claim 5 is characterized in that, the described second pre-amplification circuit amplification is 10～15; Second single order simulation high-pass filtering circuit cut-off frequency is 100～106Hz; The lower limiting frequency of analog bandpass filtering circuit is 0.14～0.17Hz, and upper cut off frequency is 102～108Hz; The second main amplifying circuit amplification is 45～50.
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| CN102274017A (en) * | 2011-05-20 | 2011-12-14 | 吉林大学 | Wireless dynamic electrocardiogram monitoring device and monitoring method based on pure silver nano fibrous membrane |
| CN102811663A (en) * | 2010-03-23 | 2012-12-05 | 皇家飞利浦电子股份有限公司 | Interference reduction in monitoring a vital parameter of a patient |
| CN103099615A (en) * | 2013-01-23 | 2013-05-15 | 深圳市理邦精密仪器股份有限公司 | Method and device for eliminating exercise electrocardiosignal interference |
| EP2591720A1 (en) * | 2011-11-08 | 2013-05-15 | Imec | Biomedical acquisition system with motion artifact reduction |
| CN104490387A (en) * | 2014-09-17 | 2015-04-08 | 中国科学院上海微系统与信息技术研究所 | Wireless, portable and wearable electrocardiogram detector capable of restraining motion interference |
| CN107212879A (en) * | 2017-05-12 | 2017-09-29 | 上海越光医疗科技有限公司 | A kind of electrocardiosignal monitoring system |
| CN108836308A (en) * | 2018-05-17 | 2018-11-20 | 南京大学 | A kind of device removing wearable electrocardio motion artifacts |
| CN109984742A (en) * | 2019-04-22 | 2019-07-09 | 深圳大学 | Cardiac impedance signal processing system and method |
| CN110247654A (en) * | 2019-06-19 | 2019-09-17 | 许昌学院 | A kind of amplification demodulator circuit applied to portable patient monitor equipment |
| CN110911006A (en) * | 2019-12-11 | 2020-03-24 | 深圳市科瑞康实业有限公司 | Data processing method of central monitoring system based on AI artificial intelligence analysis |
| CN111671416A (en) * | 2020-05-29 | 2020-09-18 | 中国科学院深圳先进技术研究院 | Electrocardiosignal filtering method and device |
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| CN102811663A (en) * | 2010-03-23 | 2012-12-05 | 皇家飞利浦电子股份有限公司 | Interference reduction in monitoring a vital parameter of a patient |
| CN102274017A (en) * | 2011-05-20 | 2011-12-14 | 吉林大学 | Wireless dynamic electrocardiogram monitoring device and monitoring method based on pure silver nano fibrous membrane |
| EP2591720A1 (en) * | 2011-11-08 | 2013-05-15 | Imec | Biomedical acquisition system with motion artifact reduction |
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| CN103099615B (en) * | 2013-01-23 | 2015-01-07 | 深圳市理邦精密仪器股份有限公司 | Method and device for eliminating exercise electrocardiosignal interference |
| CN104490387A (en) * | 2014-09-17 | 2015-04-08 | 中国科学院上海微系统与信息技术研究所 | Wireless, portable and wearable electrocardiogram detector capable of restraining motion interference |
| CN107212879A (en) * | 2017-05-12 | 2017-09-29 | 上海越光医疗科技有限公司 | A kind of electrocardiosignal monitoring system |
| CN107212879B (en) * | 2017-05-12 | 2022-08-16 | 上海越光医疗科技有限公司 | Electrocardiosignal monitoring system |
| CN108836308A (en) * | 2018-05-17 | 2018-11-20 | 南京大学 | A kind of device removing wearable electrocardio motion artifacts |
| CN109984742A (en) * | 2019-04-22 | 2019-07-09 | 深圳大学 | Cardiac impedance signal processing system and method |
| CN110247654A (en) * | 2019-06-19 | 2019-09-17 | 许昌学院 | A kind of amplification demodulator circuit applied to portable patient monitor equipment |
| CN110911006A (en) * | 2019-12-11 | 2020-03-24 | 深圳市科瑞康实业有限公司 | Data processing method of central monitoring system based on AI artificial intelligence analysis |
| CN111671416A (en) * | 2020-05-29 | 2020-09-18 | 中国科学院深圳先进技术研究院 | Electrocardiosignal filtering method and device |
| CN114305437A (en) * | 2020-10-10 | 2022-04-12 | Oppo（重庆）智能科技有限公司 | Electrocardio characteristic detection device and method and electrocardio characteristic detection system |
| CN114305437B (en) * | 2020-10-10 | 2024-01-30 | Oppo（重庆）智能科技有限公司 | Electrocardiogram feature detection device and method, and electrocardiograph feature detection system |
| WO2024103214A1 (en) * | 2022-11-14 | 2024-05-23 | 深圳市韶音科技有限公司 | Signal collection system |
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