CN111491557B - Lead electrode identification device, method, storage medium and medical monitoring equipment - Google Patents

Lead electrode identification device, method, storage medium and medical monitoring equipment Download PDF

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Publication number
CN111491557B
CN111491557B CN201780097810.5A CN201780097810A CN111491557B CN 111491557 B CN111491557 B CN 111491557B CN 201780097810 A CN201780097810 A CN 201780097810A CN 111491557 B CN111491557 B CN 111491557B
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lead electrode
data
sensing
operated
user
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CN111491557A (en
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刘三超
孙泽辉
关则宏
叶文宇
何先梁
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Shenzhen Mindray Bio Medical Electronics Co Ltd
Shenzhen Mindray Scientific Co Ltd
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Shenzhen Mindray Bio Medical Electronics Co Ltd
Shenzhen Mindray Scientific Co Ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25Bioelectric electrodes therefor

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  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

A lead electrode identification device (1) comprising a sensing module (11) comprising a plurality of sensing terminals (110), the sensing terminals (110) for operation by a user and for sensing operation by the user and forming sensing data; a memory (12) for storing a plurality of instructions, the instructions comprising: performing data analysis on the sensing data; judging whether the lead electrode is operated by a user according to a data analysis result of the sensing data; if the lead electrode is judged to be operated by a user, acquiring and outputting the identification information of the operated lead electrode; a processor (13) for loading and executing the instructions; and the prompt module (14) is used for receiving the identification information of the operated lead electrode and sending out prompt information. A method of identifying a lead electrode, a storage medium, and medical monitoring equipment are also provided. The lead electrode identification device (1), the method, the storage medium and the medical monitoring equipment can quickly and accurately identify the lead electrode.

Description

Lead electrode identification device, method, storage medium and medical monitoring equipment
Technical Field
The invention relates to the field of medical equipment, in particular to a lead electrode identification device, a method, a storage medium and medical monitoring equipment.
Background
With the popularization of the use of the monitor, more and more non-professional or semi-professional users begin to use the monitor, the operation of the monitor comprises connection of lead electrodes, the connection of the lead electrodes is a critical step for the monitoring process, and the position of the lead electrodes is connected with errors, so that wrong monitoring information and monitoring parameter results can be caused, the judgment of medical staff is affected, and the rehabilitation treatment of patients is further affected.
The existing auxiliary connection mode of the lead electrode basically marks LA, RA and the like or N, L, C and the like on the electrode lead wire and adds colors for identification, when the lead electrode is connected, the user needs to look at the mark prompt on the electrode, which is troublesome, and when the user cannot see clearly at night, the lead electrode can be connected incorrectly.
Disclosure of Invention
The embodiment of the technical scheme discloses a lead electrode identification device, a lead electrode identification method, a storage medium and medical monitoring equipment, and the lead electrode can be rapidly and correctly identified.
A lead electrode identification apparatus for identifying a plurality of lead electrodes on a medical monitoring device, comprising: the sensing module comprises a plurality of sensing ends, each sensing end corresponds to one lead electrode, and the sensing ends are used for being operated by a user and used for sensing the operation of the user and forming sensing data; a memory for storing a plurality of instructions, the instructions comprising: performing data analysis on the sensing data; judging whether the lead electrode is operated by a user according to a data analysis result of the sensing data; if the lead electrode is judged to be operated by a user, acquiring and outputting the identification information of the operated lead electrode; a processor for loading and executing the instructions; and the prompt module is used for receiving the identification information of the operated lead electrode and sending out prompt information.
A lead electrode identification method comprising the steps of: obtaining an induction result on a lead electrode; converting the sensing result into sensing data; performing data analysis on the sensing data; judging whether the lead electrode is operated by a user; if the lead electrode is judged to be operated by a user, acquiring identification information of the operated lead electrode; and sending out prompt information, wherein the prompt information comprises identification information of the operated lead electrode.
A computer-readable storage medium storing a program, wherein the program causes a computer to execute the lead electrode identification method as described above.
A medical monitoring device, comprising: a lead electrode identification device as described above; the lead electrode identification device comprises a plurality of lead electrodes, wherein a plurality of sensing ends of a sensing module in the lead electrode identification device are respectively arranged on the plurality of lead electrodes.
The lead electrode identification device, the lead electrode identification method, the storage medium and the medical monitoring equipment can rapidly and correctly identify the lead electrode.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic block diagram of a lead electrode identification device according to an embodiment of the present disclosure.
Fig. 2 is a flow chart of a lead electrode identification method according to an embodiment of the present disclosure.
Fig. 3 is a schematic block diagram of a medical monitoring device according to an embodiment of the present disclosure.
Fig. 4-7 are schematic block diagrams of medical monitoring devices according to other embodiments of the present disclosure.
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 embodiments of the present invention are shown, it being apparent that the embodiments described are only some, but not all, embodiments of the present invention. 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.
Referring to fig. 1, a first embodiment of the present disclosure provides a lead electrode identification device 1, where the lead electrode identification device 1 is used for identifying a plurality of lead electrodes on a medical monitoring device, and the lead electrode identification device 1 includes an induction module 11, a memory 12, a processor 13 and a prompt module 14.
The sensing module 11 includes a plurality of sensing terminals 110 (only two are shown), wherein each sensing terminal 110 may correspond to one of the lead electrodes. The sensing terminal 110 is used for a user to operate and sense the operation of the user and form sensing data.
The sensing end 110 includes an operation portion 111, a sensing element 112, and a signal processing unit 113.
The operation part 111 is used for a user to perform operations, such as operations of pinching, rubbing, pressing, touching, and the like; the operation part 111 may be provided on an electrode sheet or a lead wire of the lead electrode.
The sensing element 112 is disposed inside the operation portion 111, and is configured to sense an operation of the operation portion 111 and form a sensing result; the sensing element 112 may be a component provided on the lead electrode, or may be an electrode sheet of the lead electrode, and if the sensing element is the electrode sheet of the lead electrode, the operation portion 111 is located on the electrode sheet.
When the sensor 112 is a component disposed on the lead electrode, the sensor 111 may be a pressure sensor, a heat sensor, a magnetic sensor, a photosensor, a strain gauge, or the like.
The signal processing unit 113 is configured to convert the sensing result of the sensing element 112 into an electrical signal suitable for transmission and/or measurement or other form of signal containing sensing data, and output the signal. In this embodiment, the signal is transmitted along the lead line of the lead electrode, and the signal processing unit 113 may convert the sensing result into an electrical signal to be output. In other embodiments, a radio frequency communication unit, a bluetooth communication unit, etc. may be provided in the signal processing unit 113, where the signal processing unit 113 may convert the sensing result into an electromagnetic wave signal suitable for wireless transmission, etc. and output the same.
The signal processing unit 113 includes a filtering and signal amplifying element 1131, an a/D conversion element 1132, and a signal output element 1133. The filtering and signal amplifying element 1131 is configured to perform data processing on the sensing result of the sensing element 112, and obtain an analog data signal. The a/D conversion element 1132 is configured to convert the analog data signal into a digital signal, thereby obtaining sensing data. The signal output element 1133 is configured to output the sensing data.
In this case, the sensing data may be data including an analog data signal, instead of the a/D conversion element 1132.
It is understood that the sensing element 112 and the signal processing unit 113 together are a sensor element.
In a preferred embodiment, the sensing element 112 is used for sensing a pressure change on the operation part 111 by a user, wherein the pressure change may be derived from a pressure operation on the operation part 111, such as pressing, pinching, rubbing, etc.; the signal processing unit 113 is configured to generate a corresponding analog pressure signal according to the sensing result of the sensing element 112, and further configured to convert the generated analog pressure signal into a digital signal and output the digital signal; it is understood that in this case, the sensor 112 is a pressure sensor.
In another preferred embodiment, the sensing element 112 is configured to sense a temperature change on the operation portion 111, where the temperature change may be derived from a touch operation of the operation portion 111 by a user, and the touch may cause a temperature change on the sensing element 112 because a human body temperature is generally different from an external temperature; the signal processing unit 113 is configured to generate a corresponding analog temperature signal according to the sensing result of the sensing element 112, and further configured to convert the generated analog temperature signal into a digital signal and output the digital signal; it is understood that in this case, the sensor 112 is a heat sensitive element.
In a further preferred embodiment, the sensing element 112 is configured to sense an acceleration change of the operation portion 111, where the acceleration change may be derived from a movement operation of the operation portion 111 by a user; the signal processing unit 113 is configured to generate a corresponding analog acceleration signal according to the sensing result of the sensing element 112, and further configured to convert the generated analog acceleration signal into a digital signal and output the digital signal; it is understood that in this case, the sensing element 112 is a piezoelectric element or a piezoresistive element, etc.
In yet another preferred embodiment, the sensing element 112 is configured to sense mechanical deformation and voltage change of the operation portion 111, where the voltage change may be derived from a pressure operation of the operation portion 111 by a user, such as pressing, pinching, rubbing, etc., and the pressure operation may cause the sensing element 112 to mechanically deform to generate a voltage change; the signal processing unit 113 is configured to generate a corresponding analog voltage signal according to the sensing result of the sensing element 112, and further configured to convert the generated analog voltage signal into a digital signal and output the digital signal; it is understood that the sensor 112 is a strain gage.
In a further preferred embodiment, the sensing element 112 is configured to sense a change in light reflection amount of the operation portion 111, where the change in light reflection amount may be derived from a touch or shielding operation of the operation portion 111 by a user, and the touch or shielding may change the light reflection amount received by the sensing element 112; the signal processing unit 113 is configured to generate a corresponding analog light reflection amount signal according to the sensing result of the sensing element 112, and further configured to convert the generated analog light reflection amount signal into a digital signal and output the digital signal; it is understood that in this case, the sensor 112 is a photosensitive element.
In another preferred embodiment, the sensing element 112 is configured to sense an electromagnetic change of the operation portion 111, where the electromagnetic change may be derived from a contact or proximity operation of the operation portion 111 by a user, and the proximity or contact with the sensing element 112 may change a magnetic field distribution of the sensing element 112 due to a magnetic field of a human body; the signal processing unit 113 is configured to generate a corresponding analog electromagnetic signal according to the sensing result of the sensing element 112, and further configured to convert the generated analog electromagnetic signal into a digital signal and output the digital signal; it is understood that in this case, the sensor 112 is a magneto-sensitive element.
In another preferred embodiment, the sensing element 112 is configured to sense a voltage change of the operating portion 111, where the voltage change may be derived from a contact operation of a user on the operating portion 111, and the contact with the sensing element 112 may change a resistance of the sensing element 112 and thus a voltage applied to the sensing element 112, because a human body is an electrical conductor; the signal processing unit 113 is configured to generate a corresponding analog voltage signal according to the sensing result of the sensing element 112, and further configured to convert the generated analog voltage signal into a digital signal and output the digital signal; it will be appreciated that at this point, the sensing element 112 may be the electrode pad itself of the lead electrode.
The memory 12 is used to store a plurality of instructions for loading and execution by the processor 13:
receiving the sensing data;
filtering noise frequencies in the sensing data;
performing data analysis on the sensing data; wherein the data analysis may include extracting time domain features in the sensed data after removing noise frequencies; the method can also comprise the step of extracting frequency domain features in the sensing data after noise frequency removal;
judging whether the lead electrode is operated by a user according to a data analysis result of the sensing data; a time domain threshold may be preset, an average value of time domain data of the sensing data in a certain time is counted, the average value of the time domain data is compared with the time domain threshold, when the average value of the time domain data is greater than or equal to the time domain threshold for the first time, the lead electrode is judged to be operated by a user, and it is understood that the average value may be replaced by a middle value, a maximum value, a minimum value, a mean square error, etc., and the certain time may be any time period; a frequency domain threshold value can be preset, the fluctuation size of the frequency domain data of the sensing data in a certain time is counted, the fluctuation size of the frequency domain data is compared with the frequency domain threshold value, when the fluctuation size of the frequency domain data is larger than or equal to the frequency domain threshold value for the first time, the lead electrode is judged to be operated by a user, and it can be understood that the certain time can be any time period; the time domain threshold and the frequency domain threshold may not be set, but a data rule of a time domain or a frequency domain is determined by a machine learning method, and a corresponding time domain or frequency domain data range when the lead electrode is operated by a user is deduced, so that by determining whether measured time domain or frequency domain data falls into the corresponding time domain or frequency domain data range when the lead electrode is operated by the user, if the time domain or frequency domain data obtained by the intermittent measurement falls into the corresponding time domain or frequency domain data range when the lead electrode is operated by the user, the lead electrode is judged to be operated by the user, and it can be understood that the corresponding time domain and frequency domain data range when the lead electrode is operated by the user is in a state of being corrected in real time and is not fixed;
If the lead electrode is judged to be operated by a user, acquiring and outputting identification information of the operated lead electrode; the identification information of the operated lead electrode may include electrode information such as RA, RL, etc., and may also include installation position guide information of the lead electrode, for example, the first intercostal space of the right sternal collarbone line should be installed; the identification information of the operated lead electrode can be obtained by analyzing the sensing data, for example, the sensing data includes information of the sensing end 110 corresponding to the data source, and the memory 12 stores the corresponding relationship between the sensing end 110 and the lead electrode, so that the identification information of the operated lead electrode can be obtained by analyzing the sensing data; the identification information of the operated lead electrode can also be obtained by comparing the transmission paths of the sensing data, such as a transmission port, for example, the sensing data on different sensing ends are transmitted to the processor 13 through different ports, and the memory 12 stores the corresponding relationship between the ports and the lead electrode, so that the processor 13 can obtain the identification information of the operated lead electrode by confirming the transmission port;
controlling the prompt module 14 to send out prompt information; the prompting information comprises the identification information content of the operated lead electrode, and can be sent out in a sound form, an image form and a sound and image form; wherein the image may include an identification image of the lead electrode, and may further include a placement guidance map of the lead electrode;
Control the prompt module 14 to turn off the prompt; the prompt information can be controlled to be closed by judging whether the lead electrode is successfully installed or not, if the lead electrode is installed at a proper position of a user body, the prompt information is closed, and whether the lead electrode is successfully installed or not can be provided by connected medical monitoring equipment, can be judged and provided manually, and can be obtained through other ways; the prompt information can also be controlled to be closed by judging whether the lead electrode is still operated by a user, and if the lead electrode is not operated by the user, the prompt information is closed; the manner of determining whether the lead electrode is still operated by the user may be: counting the average value of time domain data of the sensing data within a certain time, comparing the average value of the time domain data with the threshold value, judging that the lead electrode is still operated by a user when the average value of the time domain data is lower than the threshold value for the first time, and judging that the lead electrode is not operated by the user when the average value of the time domain data is lower than the threshold value for the second time; after judging that the lead electrode is not operated by a user, the prompt message is closed after a certain time delay so as to give the user time for receiving the prompt message; the average value of the time domain data of the sensing data may be a median value, a maximum value, a minimum value, a mean square error, etc. of the time domain data of the sensing data.
The prompt module 14 is configured to receive identification information of the operated lead electrode and send out the prompt information; the prompt module 14 may be an audio output element, an image output element, or an audio plus image output element, etc. corresponding to the different types of prompt messages.
Referring to fig. 2, a second embodiment of the present disclosure provides a lead electrode identification method 2, where the lead electrode identification method 2 includes the steps of:
s201, obtaining an induction result on a lead electrode;
s202, converting the sensing result into sensing data;
s203, filtering noise frequency in the sensing data;
s204, carrying out data analysis on the sensing data;
s205, judging whether the lead electrode is operated by a user;
s206, if the lead electrode is judged to be operated by a user, acquiring identification information of the operated lead electrode;
s207, sending prompt information, wherein the prompt information comprises identification information of the operated lead electrode; and
S208, closing the prompt information.
In step S201, the sensing result may be a pressure change value, a temperature change value, an acceleration change value, a voltage change value, a light reflection amount change value, an electromagnetic change value, or the like.
In step S202, converting the sensing result into sensing data may include performing data processing on the sensing result, obtaining an analog data signal, and converting the analog data signal into a digital signal, thereby obtaining the sensing data.
In other embodiments, the digital signal may not be converted, and the sensing data may include an analog data signal.
In step S204, the data analysis may include extracting time domain features in the sensed data after removing noise frequencies; and may also include extracting frequency domain features from the sensed data after removing noise frequencies.
In step S205, a time domain threshold may be preset, an average value of time domain data of the sensing data in a certain time may be counted, the average value of the time domain data is compared with the time domain threshold, when the average value of the time domain data is greater than or equal to the time domain threshold for the first time, it is determined that the lead electrode is operated by the user, and it may be understood that the average value may be replaced by a maximum value, a minimum value, a mean square error, etc., and the certain time may be any time period; a frequency domain threshold value can be preset, the fluctuation size of the frequency domain data of the sensing data in a certain time is counted, the fluctuation size of the frequency domain data is compared with the frequency domain threshold value, when the fluctuation size of the frequency domain data is larger than or equal to the frequency domain threshold value for the first time, the lead electrode is judged to be operated by a user, and it can be understood that the certain time can be any time period; the time domain threshold and the frequency domain threshold may not be set, but a data rule of a time domain or a frequency domain may be determined by a machine learning method by using a statistical method, and a corresponding time domain or frequency domain data range when the lead electrode is operated by a user may be deduced, so that by determining whether the measured time domain or frequency domain data falls into the corresponding time domain or frequency domain data range when the lead electrode is operated by the user, it is determined whether the lead electrode is operated by the user, and it may be understood that the corresponding time domain and frequency domain data range when the lead electrode is operated by the user is in a state of being corrected in real time and is not fixed.
In step S206, the identification information of the operated lead electrode may include electrode information such as RA, RL, etc., and may further include installation position guide information of the lead electrode, for example, the first intercostal space of the right sternal collarbone line, etc.
The identification information of the operated lead electrode can be obtained by analyzing the sensing data, for example, the data source of the sensing data can be analyzed, and the identification information of the operated lead electrode can be obtained by referring to the corresponding relation between the data source of the sensing data and the lead electrode; the transmission port of the sensing data can be acquired, and the identification information of the operated lead electrode can be acquired by referring to the corresponding relation between the transmission port and the lead electrode.
In step S207, the prompt information includes the identification information of the operated lead electrode, where the prompt information may be emitted in the form of sound, or may be emitted in the form of image, or may be emitted in the form of sound plus image; the image may include an identification image of the lead electrode, and may further include a placement guide map of the lead electrode.
In step S207, the prompt information may be controlled to be turned off by determining whether the lead electrode is successfully placed, and if the lead electrode is already installed at a proper position of the user' S body, the prompt information may be turned off, where the information about whether the lead electrode is successfully placed may be provided by the connected medical monitoring device, or may be manually determined and provided, or may be obtained by other means; the closing of the alert message may also be controlled by determining whether the lead electrode is still operated by the user, and closing the alert message if the lead electrode is not already operated by the user.
The method for judging whether the lead electrode is still operated by the user can be as follows: counting the average value of time domain data of the sensing data within a certain time, comparing the average value of the time domain data with the threshold value, judging that the lead electrode is still operated by a user when the average value of the time domain data is lower than the threshold value for the first time, and judging that the lead electrode is not operated by the user when the average value of the time domain data is lower than the threshold value for the second time; the average value of the time domain data of the sensing data may be a median value, a maximum value, a minimum value, a mean square error, etc. of the time domain data of the sensing data.
Preferably, the prompt message is turned off after a delay of a certain time after judging that the lead electrode has not been operated by the user.
Compared with the traditional lead electrode identification device and method, the lead electrode identification device and method of the technical scheme can enable a user to quickly and accurately identify the lead electrode by sensing the operation of the user and judging whether the lead electrode is operated by the user, and if the lead electrode is operated by the user, acquiring the identification information of the conductive electrode and sending prompt information.
Referring to fig. 3, a third embodiment of the present disclosure provides a medical monitoring device 3, where the medical monitoring device 3 includes a lead electrode identification apparatus 1, a plurality of lead electrodes 31, and a data receiving end 32 according to the first embodiment.
The sensing ends 110 of the sensing module 11 in the lead electrode identification device 1 are respectively disposed on the plurality of lead electrodes 31 (two sensing ends 110 are shown in the figure).
The data receiving end 32 may be a bedside machine, a portable monitor, a wearable mobile monitoring device, an electrocardiograph, a central monitoring station, etc., and the prompting module 14 may be a display and/or a speaker of the data receiving end 32.
Wherein the number of the data receiving terminals 32 may be one or more.
In this embodiment, the number of the data receiving terminals 32 is one, and the memory 12, the processor 13 and the prompting module 14 in the lead electrode identification device 1 are all disposed on the data receiving terminals 32.
In another embodiment, referring to fig. 4, the number of the data receiving ends 32 is two, and the data receiving ends 32 connected in series are preferably a portable monitor or a wearable mobile monitoring device, and the data receiving end 32 connected in series with the first data receiving end 32 is preferably a bedside machine, an electrocardiograph or a central monitoring station; the two data receiving ends 32 are respectively provided with a memory 12, a processor 13 and a prompt module 14, and can output prompt information, and the prompt information output by the two data receiving ends 32 can be in the same or different forms, namely sound, images and the like; the second data receiving end 32 may independently perform data processing, or may directly receive the data processing result of the first data transmitting end. In this arrangement, the medical monitoring device 3 can be used flexibly, for example, when the second data receiving end 32 is not connected in series (for example, pulled out), the first data receiving end 32 can be used together with the lead electrode 21 as a portable monitor or a wearable mobile monitoring device, and also has the lead electrode identification function; when the first data receiving end 32 is not connected in series, the second data receiving end 32 can be used as a bedside machine, an electrocardiograph or a central monitoring station together with the lead electrode 21, and also has the lead electrode identification function.
In another embodiment, referring to fig. 5, the number of the data receiving ends 32 is two, and the data receiving ends 32 connected in series are preferably a portable monitor or a wearable mobile monitoring device, and the data receiving end 32 connected in series with the first data receiving end 32 is preferably a bedside machine, an electrocardiograph or a central monitoring station; the first data receiving end 32 is provided with a memory 12, a processor 13 and a prompt module 14, the second data receiving end 32 is provided with the prompt module 14, has no function of processing the sensing data, and can receive the data processing result transmitted by the first data receiving end 32, namely the identification information of the lead electrode, but the two data receiving ends can output prompt information, and the form of the prompt information output by the two data receiving ends 32 can be the same or different. In this arrangement, two data receiving ends 32 may be flexibly connected in series, but only the second data receiving end 32 is connected in series, which does not have the lead electrode identification function.
In a different embodiment, referring to fig. 6, the number of the data receiving ends 32 is two, and the data receiving ends 32 connected in series are preferably a portable monitor or a wearable mobile monitoring device, and the data receiving end 32 connected in series with the first data receiving end 32 is preferably a bedside machine, an electrocardiograph or a central monitoring station; the first data receiving end 32 is not provided with the memory 12, the processor 13 and the prompt module 14, and only the second data receiving end 32 is provided with the memory 12, the processor 13 and the prompt module 14. In practical applications, the present embodiment may actually perform the identification operation by using a set of independent lead electrodes, or performing the identification operation by using a lead electrode on a portable monitor or a wearable mobile monitoring device. When a set of independent lead electrodes are used for identification operation, two data receiving ends 32 can be flexibly connected in series, but only the first data receiving end 32 is connected in series, so that the lead electrode identification function is not realized; when a portable monitor or a wearable mobile monitoring device is used for the identification operation, the lead electrode and the first data receiving end 32 are generally integrated into a non-detachable structure, and only the second data receiving end 32 can be connected in series or not.
In another different embodiment, referring to fig. 7, the number of the data receiving ends 32 is two, and the two data receiving ends 32 are connected in parallel, and each of the two data receiving ends 32 is provided with a memory 12, a processor 13 and a prompting module 14, so that prompting information can be output, and the forms of the prompting information output by the two data receiving ends 32 can be the same or different. In this arrangement, two data receiving terminals 32 can be flexibly connected in series.
In the medical monitoring device 3 with the two serial and parallel data receiving ends 32, prompt information can be sent out on the two data receiving ends 32, so that information can be received by multiple people, and the two data receiving ends can be referred to each other, thereby preventing errors; in addition to the above effects, when the forms of the prompt messages on the two data receiving ends 32 are different, even if one person receives the message, the different forms of the prompt messages on the two data receiving ends 32 can be mutually referred to.
Compared with the traditional medical monitoring equipment, the medical monitoring equipment of the embodiment of the technical scheme adopts the lead electrode identification device, so that the lead electrode can be identified rapidly and accurately.
A fourth embodiment of the present invention provides a computer-readable storage medium storing a program, wherein the program causes a computer to execute the lead electrode identification method according to the second embodiment.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.

Claims (37)

1. A lead electrode identification apparatus for identifying a plurality of lead electrodes on a medical monitoring device, comprising:
the sensing module comprises a plurality of sensing ends, each sensing end corresponds to one lead electrode, and the sensing ends are used for being operated by a user and used for sensing the operation of the user and forming sensing data;
the processor is used for realizing the instructions;
a memory for storing a plurality of instructions, the instructions being loaded and executed by the processor:
performing data analysis on the sensing data;
judging whether the lead electrode is operated by a user according to a data analysis result of the sensing data; and
If the lead electrode is judged to be operated by a user, acquiring and outputting identification information of the operated lead electrode;
the prompting module is used for receiving the identification information of the operated lead electrode and sending out prompting information;
Wherein, the sensing end includes:
an operation unit for a user to operate;
the sensing element is used for sensing the operation of the operation part and forming a sensing result; and
And the signal processing unit is used for converting the sensing result of the sensing element into a signal containing sensing data and outputting the signal.
2. The lead electrode identification device of claim 1, wherein the signal processing unit comprises:
the filtering and signal amplifying element is used for carrying out data processing on the sensing result of the sensitive element and obtaining an analog data signal;
an a/D conversion element for converting the analog data signal into a digital signal, thereby obtaining sensing data; and
And the signal output element is used for outputting the sensing data.
3. The lead electrode identification device according to claim 1, wherein the sensing element is a pressure sensitive element for sensing pressure change of a user on the operation part, and the signal processing unit is used for generating and outputting a corresponding pressure signal according to the sensing result of the sensing element; or the sensitive element is a heat sensitive element and is used for sensing the temperature change on the operation part, and the signal processing unit is used for generating and outputting a corresponding temperature signal according to the sensing result of the sensitive element; or the sensing element is a piezoelectric or piezoresistive element and is used for sensing the acceleration change on the operation part, and the signal processing unit is used for generating and outputting a corresponding acceleration signal according to the sensing result of the sensing element; or the sensitive element is a strain gauge and is used for sensing mechanical deformation and voltage change on the operation part, and the signal processing unit is used for generating and outputting corresponding voltage signals according to the sensing result of the sensitive element; or the sensitive element is a photosensitive element and is used for sensing the light reflection quantity change on the operation part, and the signal processing unit is used for generating and outputting a corresponding light reflection quantity signal according to the sensing result of the sensitive element; or the sensitive element is a magnetic sensitive element and is used for sensing electromagnetic change on the operation part, and the signal processing unit is used for generating corresponding electromagnetic signals according to the sensing result of the sensitive element and outputting the electromagnetic signals; or the sensitive element is an electrode plate of a lead electrode and is used for sensing the voltage change on the operation part, and the signal processing unit is used for generating and outputting a corresponding voltage signal according to the sensing result of the sensitive element.
4. The lead electrode identification device of claim 1, wherein performing data analysis on the sensed data comprises: extracting time domain features in the sensing data; determining whether the lead electrode is operated by a user includes: presetting a time domain threshold, counting the average value, the middle value, the maximum value, the minimum value or the mean square error of time domain data of the sensing data in a certain time or any time period, comparing the average value, the middle value, the maximum value, the minimum value or the mean square error of the time domain data with the time domain threshold, and judging that the lead electrode is operated by a user when the average value, the middle value, the maximum value, the minimum value or the mean square error of the time domain data is larger than or equal to the time domain threshold for the first time.
5. The lead electrode identification device of claim 1, wherein performing data analysis on the sensed data comprises: extracting frequency domain features in the sensing data; determining whether the lead electrode is operated by a user includes: presetting a frequency domain threshold, counting the fluctuation size of frequency domain data of the sensing data within a certain time or any time period, comparing the fluctuation size of the frequency domain data with the frequency domain threshold, and judging that the lead electrode is operated by a user when the fluctuation size of the frequency domain data is larger than or equal to the frequency domain threshold for the first time.
6. The lead electrode identification device according to claim 1, wherein a data rule of a time domain or a frequency domain is statistically determined by a machine learning manner, and a corresponding data range of the time domain or the frequency domain when the lead electrode is operated by a user is derived, so that if the measured time domain or the frequency domain data falls within the corresponding data range of the time domain or the frequency domain when the lead electrode is operated by the user, the lead electrode is judged to be operated by the user.
7. The lead electrode identification device according to claim 1, wherein the identification information of the operated lead electrode includes electrode information and/or lead electrode installation position guide information.
8. The lead electrode identification device of claim 1, wherein the sensing data includes information of the sensing terminal corresponding to a data source, and the memory stores a correspondence relationship between the sensing terminal and the lead electrode, and the identification information of the operated lead electrode is obtained by analyzing the sensing data.
9. The lead electrode identification device of claim 1, wherein the sensing data on different lead electrodes are transmitted to the processor through different ports, and the memory stores the correspondence between ports and lead electrodes, and the identification information of the operated lead electrodes is obtained by confirming the transmission ports.
10. The lead electrode identification device of claim 1 wherein the prompt message is emitted in the form of a sound, an image, or a sound plus image.
11. The lead electrode identification device of claim 1, wherein the instructions further comprise: judging whether the lead electrode is successfully installed or not, and closing the prompt information if the lead electrode is installed at a proper position of the body of the user.
12. The lead electrode identification device of claim 1 wherein a determination is made as to whether the lead electrode is still under control of user operation and if the lead electrode has not been under control of the user, the prompting message is turned off by a delay of a certain time.
13. The lead electrode identification device of claim 12, wherein the instructions to determine whether the lead electrode is still user operated comprise: presetting a time domain threshold, counting the average value of time domain data of the sensing data within a certain time, comparing the average value, the intermediate value, the maximum value, the minimum value or the mean square error of the time domain data with the time domain threshold, judging that the lead electrode is still operated by a user when the average value, the intermediate value, the maximum value, the minimum value or the mean square error of the time domain data is lower than the time domain threshold for the first time, and judging that the lead electrode is not operated by the user when the average value, the intermediate value, the maximum value, the minimum value or the mean square error of the time domain data is lower than the time domain threshold for the second time.
14. A lead electrode identification method comprising the steps of:
obtaining an induction result on a lead electrode, comprising: sensing operation of a user on a lead electrode and forming a sensing result;
converting the sensing result into sensing data;
performing data analysis on the sensing data;
judging whether the lead electrode is operated by a user;
if the lead electrode is judged to be operated by a user, acquiring identification information of the operated lead electrode; and
And sending out prompt information, wherein the prompt information comprises identification information of the operated lead electrode.
15. The lead electrode identification method of claim 14, wherein the sensing result is a pressure change value, a temperature change value, an acceleration change value, a voltage change value, a light reflection amount change value, or an electromagnetic change value.
16. The lead electrode identification method of claim 14 wherein converting the sensing result into sensing data comprises data processing the sensing result and obtaining an analog data signal; and converting the analog data signal into a digital signal, thereby obtaining the sensing data.
17. The lead electrode identification method of claim 14, further comprising the step of, prior to data analysis of the sensed data: filtering noise frequencies in the sensed data.
18. The lead electrode identification method of claim 14, wherein performing data analysis on the sensed data comprises: extracting time domain features in the sensing data; determining whether the lead electrode is operated by a user includes: presetting a time domain threshold, counting the average value, the middle value, the maximum value, the minimum value or the mean square error of time domain data of the sensing data in a certain time or any time period, comparing the average value, the middle value, the maximum value, the minimum value or the mean square error of the time domain data with the time domain threshold, and judging that the lead electrode is operated by a user when the average value, the middle value, the maximum value, the minimum value or the mean square error of the time domain data is larger than or equal to the time domain threshold for the first time.
19. The lead electrode identification method of claim 14, wherein performing data analysis on the sensed data comprises: extracting frequency domain features in the sensing data; determining whether the lead electrode is operated by a user includes: presetting a frequency domain threshold, counting the fluctuation size of frequency domain data of the sensing data within a certain time or any time period, comparing the fluctuation size of the frequency domain data with the frequency domain threshold, and judging that the lead electrode is operated by a user when the fluctuation size of the frequency domain data is larger than or equal to the frequency domain threshold for the first time.
20. The lead electrode identification method of claim 14, wherein a data rule of a time domain or a frequency domain is statistically determined by a machine learning manner, and a corresponding data range of the time domain or the frequency domain when the lead electrode is operated by a user is derived, so that by determining whether the measured time domain or the frequency domain data falls within the corresponding data range of the time domain or the frequency domain when the lead electrode is operated by the user, if the measured time domain or the frequency domain data falls within the corresponding data range of the time domain or the frequency domain when the lead electrode is operated by the user, the lead electrode is judged to be operated by the user.
21. The lead electrode identification method according to claim 14, wherein the identification information of the operated lead electrode includes electrode information and/or lead electrode installation position guide information.
22. The lead electrode identification method according to claim 14, wherein the lead electrode identification method is applied to a lead electrode identification device, the lead electrode identification device comprises a plurality of sensing terminals and a memory, each sensing terminal corresponds to one lead electrode, the sensing terminal is used for acquiring a sensing result on the corresponding lead electrode and converting the sensing result into sensing data, the sensing terminal comprises an operation part for a user to operate, a sensing element for sensing the operation of the operation part and forming the sensing result, and a signal processing unit for converting the sensing result of the sensing element into a signal containing the sensing data and outputting the signal; the sensing data comprises information of the sensing end corresponding to a data source, the memory stores the corresponding relation between the sensing end and the lead electrode, and the identification information of the operated lead electrode is obtained by analyzing the sensing data.
23. The lead electrode identification method of claim 14, wherein the lead electrode identification method is applied to a lead electrode identification device comprising a processor and a memory; the sensing data on different lead electrodes are transmitted to the processor through different transmission ports, the memory stores the corresponding relation between the transmission ports and the lead electrodes, and the identification information of the operated lead electrodes is obtained through confirming the transmission ports.
24. The lead electrode identification method of claim 14 wherein the prompt message is emitted in the form of sound, image or sound plus image.
25. The lead electrode identification method of claim 14, further comprising the step of: judging whether the lead electrode is successfully installed or not, and closing the prompt information if the lead electrode is installed at a proper position of the body of the user.
26. The lead electrode identification method of claim 14, further comprising the step of: judging whether the lead electrode is still operated by a user, if the lead electrode is not operated by the user, delaying for a certain time, and closing the prompt information.
27. The lead electrode identification method of claim 26 wherein the step of determining whether the lead electrode is still user operated comprises: presetting a time domain threshold, counting the average value of time domain data of the sensing data within a certain time, comparing the average value, the intermediate value, the maximum value, the minimum value or the mean square error of the time domain data with the time domain threshold, judging that the lead electrode is still operated by a user when the average value, the intermediate value, the maximum value, the minimum value or the mean square error of the time domain data is lower than the time domain threshold for the first time, and judging that the lead electrode is not operated by the user when the average value, the intermediate value, the maximum value, the minimum value or the mean square error of the time domain data is lower than the time domain threshold for the second time.
28. A computer-readable storage medium storing a program, wherein the program causes a computer to execute the lead electrode identification method according to any one of claims 14 to 27.
29. A medical monitoring device, comprising:
the lead electrode identification device of any one of claims 1-13;
the lead electrode identification device comprises a plurality of lead electrodes, wherein a plurality of sensing ends of a sensing module in the lead electrode identification device are respectively arranged on the plurality of lead electrodes.
30. The medical monitoring device of claim 29, further comprising a data receiving end, wherein the memory, the processor, and the prompting module of the lead electrode identification means are disposed on the data receiving end.
31. The medical monitoring device of claim 30, wherein the data receiving end is a bedside machine, a portable monitor, a wearable mobile monitoring apparatus, an electrocardiograph, or a central monitoring station.
32. The medical monitoring device of claim 29, further comprising two data receiving terminals, a first of the data receiving terminals being connected to the sensing module, a second of the data receiving terminals being connected in series with the first of the data receiving terminals, the first of the data receiving terminals being a portable monitor or a wearable mobile monitoring device, the second of the data receiving terminals being a bedside machine, an electrocardiograph, or a central monitoring station.
33. The medical monitoring device of claim 32, wherein the memory, the processor and the prompting module are disposed on two data receiving terminals, and the two data receiving terminals are each configured to send prompting information.
34. The medical monitoring device of claim 32, wherein a first one of said data receiving terminals is provided with said memory, said processor and said prompting module, a second one of said data receiving terminals is provided with said prompting module, and the first one of said data receiving terminals is adapted to process data and output identification information of the lead electrode and issue a prompting message; the second data receiving end is used for receiving the identification information of the lead electrode output by the processor of the first data receiving end and sending out prompt information.
35. The medical monitoring device of claim 32, wherein only a second of the two data receiving terminals is provided with the memory, the processor and the prompting module.
36. The medical monitoring device of claim 35, wherein a first one of the data receiving terminals is integrally formed with the plurality of lead electrodes.
37. The medical monitoring device of claim 29, further comprising two data receiving ends, the two data receiving ends being connected in parallel and each being connected to the sensing module, the first data receiving end being a portable monitor or a wearable mobile monitoring device, the second data receiving end being a bedside machine, an electrocardiograph or a central monitoring station.
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Citations (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1620266A (en) * 2001-12-22 2005-05-25 久佩久有限公司 Medical electrode system and method
CN101385644A (en) * 2008-07-25 2009-03-18 沈阳中国医科大学医疗器械研制中心(有限公司) 12 lead wireless remote electrocardiograph monitoring system
CN101664305A (en) * 2008-09-02 2010-03-10 徐乍了 Palm medical popular type system for recording and processing multiform biological information
CN201905889U (en) * 2010-12-27 2011-07-27 高杰 Novel portable 12-lead electrocardiogram machine
CN102448371A (en) * 2009-12-15 2012-05-09 松下电器产业株式会社 Electrode attachment state determination system, electrode attachment state determination method, and program thereof
CN103860165A (en) * 2014-02-28 2014-06-18 马骁 Lead standard interface for collecting electrocardiogram signal and electrocardiograph monitoring device
CN103908244A (en) * 2014-04-03 2014-07-09 深圳市理邦精密仪器股份有限公司 ECG lead wrong connection judging method and device
CN203724087U (en) * 2014-02-28 2014-07-23 马骁 Lead standard interface and universal lead wire for electrocardiosignal collection
CN104287717A (en) * 2014-09-30 2015-01-21 杭州电子科技大学 Double-electrode based finger electrocardio identity recognition system
CN104382585A (en) * 2014-11-25 2015-03-04 蒋淑清 Device, system and method for portably detecting vital signs of pregnant woman
CN204218904U (en) * 2014-10-24 2015-03-25 深圳市迈迪加科技发展有限公司 A kind of portable three lead electrocardiograph monitoring device
CN204274445U (en) * 2014-11-07 2015-04-22 吴嘉浚 The wireless mobile electrocardiograph that singly leads
CN104665825A (en) * 2015-02-11 2015-06-03 上海夏先机电科技发展有限公司 Portable type low-power consumption three-lead ECG (Electrocardiograph) intelligent monitoring system
CN104684470A (en) * 2012-08-01 2015-06-03 德尔格医疗系统有限公司 System and method for measuring contact impedance of electrode
CN105286868A (en) * 2015-10-21 2016-02-03 深圳市理邦精密仪器股份有限公司 Intelligent lead switching method and device based on respiration parameters
CN105411575A (en) * 2015-12-01 2016-03-23 浙江铭众科技有限公司 Electrocardio-electrode position monitoring method
CN105411567A (en) * 2015-12-15 2016-03-23 北京世纪今科医疗器械有限公司 Electrocardiogram data analysis method and system
CN105726020A (en) * 2016-01-29 2016-07-06 深圳市理邦精密仪器股份有限公司 Electrode connection method and device for electrocardiogram equipment
CN105769181A (en) * 2015-01-09 2016-07-20 松下知识产权经营株式会社 Determination system, control signal output system, rehabilitation system, determination method, and control signal output method
CN105832328A (en) * 2016-03-15 2016-08-10 安徽华米信息科技有限公司 Processing method and device of electrocardiogram data, and garment
CN105852845A (en) * 2016-03-26 2016-08-17 深圳市前海安测信息技术有限公司 Wearable 12-lead remote electrocardiograph monitoring device as well as application system and method thereof
US9420973B1 (en) * 2013-04-01 2016-08-23 Alon Konchitsky Apparatus, device and method for validating electrocardiogram
CN106470599A (en) * 2015-06-04 2017-03-01 株式会社休楼 The biological signal measuring device that the multiple electrodes of measurement bio signal are used as touch sensor
CN106901720A (en) * 2017-02-22 2017-06-30 安徽华米信息科技有限公司 The acquisition method of electrocardiogram (ECG) data, device and wearable device
CN106963361A (en) * 2017-03-10 2017-07-21 深圳市理邦精密仪器股份有限公司 Detection method, detection means and the electrocardio equipment of limb leads misconnection
CN106974629A (en) * 2016-01-22 2017-07-25 周常安 Dynamic cardiovascular activity monitoring method and the system using this method
CN106999046A (en) * 2014-12-11 2017-08-01 英特尔公司 The technology monitored for biofeedback electrode contact

Family Cites Families (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6142949A (en) * 1998-11-24 2000-11-07 Ortivus Ab Lead protection and identification system
US8897861B2 (en) * 1999-07-27 2014-11-25 Jorge Hernando Ordóñez-Smith Electrocardiographic method and apparatus based on bipolar, non-vectorial, truncal leads or real unipolar leads
US6748256B2 (en) * 2002-02-12 2004-06-08 Ge Medical Systems Information Technologies, Inc. Physiological-signal-analysis device having a plurality of electrode leads
KR100624425B1 (en) * 2004-06-17 2006-09-19 삼성전자주식회사 Integrated multiple electrodes for bio signal measurement, method and apparatus for bio signal measurement using the same, and method of seaching leads using the same
US7979111B2 (en) * 2006-06-15 2011-07-12 Angelo Joseph Acquista Wireless electrode arrangement and method for patient monitoring via electrocardiography
US9101264B2 (en) * 2006-06-15 2015-08-11 Peerbridge Health, Inc. Wireless electrode arrangement and method for patient monitoring via electrocardiography
WO2009148429A1 (en) * 2008-06-02 2009-12-10 Medtronic, Inc. Electrogram storage for suspected non-physiological episodes
US20090299421A1 (en) * 2008-06-02 2009-12-03 Medtronic, Inc. Evaluation of implantable medical device sensing integrity based on evoked signals
US8301219B2 (en) * 2008-07-16 2012-10-30 The General Hospital Corporation Patient monitoring systems and methods
US9144388B2 (en) * 2009-01-20 2015-09-29 Alfred Salazar Portable system and method for monitoring of a heart and other body functions
US20110208261A1 (en) * 2010-02-24 2011-08-25 Pacesetter, Inc. Systems and methods for assessing and reprogramming sensing vectors for use with an implantable cardiac rhythm management device
EP2713865B1 (en) * 2011-05-23 2017-10-18 SHL Telemedicine International Ltd. An electrocardiographic monitoring system
US9024781B2 (en) * 2011-07-14 2015-05-05 Jinjing Zhang Cardiac electricity and impedance monitoring mobile network terminal device having function of micro current release
KR20140057627A (en) * 2011-09-01 2014-05-13 졸 메디컬 코포레이션 Wearable monitoring and treatment device
CN103190897B (en) * 2013-04-23 2019-03-29 心韵恒安医疗科技(北京)有限公司 Hand-held multi-lead electrocardiogram signal acquiring method and device
US9579032B2 (en) * 2014-01-24 2017-02-28 General Electric Company Method for ECG lead placement changes to be accurately accounted for
US9468385B2 (en) * 2014-08-22 2016-10-18 Medtronic, Inc. Visual representation of a cardiac signal sensing test
EP3217867A4 (en) * 2014-11-14 2018-11-07 Drake, Stefan Systems and methods for performing electrocardiograms
US10098544B2 (en) * 2015-03-11 2018-10-16 Medicomp, Inc. Wireless ECG sensor system and method
US9737223B2 (en) * 2015-05-13 2017-08-22 Medtronic, Inc. Determining onset of cardiac depolarization and repolarization waves for signal processing
US20160360988A1 (en) * 2015-06-15 2016-12-15 Igor Abramov Ecg leads
KR20170022192A (en) * 2015-08-19 2017-03-02 삼성전자주식회사 Electronic device having the touch sensor
US9883835B2 (en) * 2015-10-16 2018-02-06 General Electric Company Method and system of directing positioning of ECG electrodes
CN107157471A (en) * 2017-05-15 2017-09-15 德阳市人民医院 A kind of precordial leads method for quickly identifying
CN107374617A (en) * 2017-08-24 2017-11-24 复旦大学附属中山医院 A kind of automatic error-correcting electrocardiogram system and method

Patent Citations (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1620266A (en) * 2001-12-22 2005-05-25 久佩久有限公司 Medical electrode system and method
CN101385644A (en) * 2008-07-25 2009-03-18 沈阳中国医科大学医疗器械研制中心(有限公司) 12 lead wireless remote electrocardiograph monitoring system
CN101664305A (en) * 2008-09-02 2010-03-10 徐乍了 Palm medical popular type system for recording and processing multiform biological information
CN102448371A (en) * 2009-12-15 2012-05-09 松下电器产业株式会社 Electrode attachment state determination system, electrode attachment state determination method, and program thereof
CN201905889U (en) * 2010-12-27 2011-07-27 高杰 Novel portable 12-lead electrocardiogram machine
CN104684470A (en) * 2012-08-01 2015-06-03 德尔格医疗系统有限公司 System and method for measuring contact impedance of electrode
US9420973B1 (en) * 2013-04-01 2016-08-23 Alon Konchitsky Apparatus, device and method for validating electrocardiogram
CN103860165A (en) * 2014-02-28 2014-06-18 马骁 Lead standard interface for collecting electrocardiogram signal and electrocardiograph monitoring device
CN203724087U (en) * 2014-02-28 2014-07-23 马骁 Lead standard interface and universal lead wire for electrocardiosignal collection
CN103908244A (en) * 2014-04-03 2014-07-09 深圳市理邦精密仪器股份有限公司 ECG lead wrong connection judging method and device
CN104287717A (en) * 2014-09-30 2015-01-21 杭州电子科技大学 Double-electrode based finger electrocardio identity recognition system
CN204218904U (en) * 2014-10-24 2015-03-25 深圳市迈迪加科技发展有限公司 A kind of portable three lead electrocardiograph monitoring device
CN204274445U (en) * 2014-11-07 2015-04-22 吴嘉浚 The wireless mobile electrocardiograph that singly leads
CN104382585A (en) * 2014-11-25 2015-03-04 蒋淑清 Device, system and method for portably detecting vital signs of pregnant woman
CN106999046A (en) * 2014-12-11 2017-08-01 英特尔公司 The technology monitored for biofeedback electrode contact
CN105769181A (en) * 2015-01-09 2016-07-20 松下知识产权经营株式会社 Determination system, control signal output system, rehabilitation system, determination method, and control signal output method
CN104665825A (en) * 2015-02-11 2015-06-03 上海夏先机电科技发展有限公司 Portable type low-power consumption three-lead ECG (Electrocardiograph) intelligent monitoring system
CN106470599A (en) * 2015-06-04 2017-03-01 株式会社休楼 The biological signal measuring device that the multiple electrodes of measurement bio signal are used as touch sensor
CN105286868A (en) * 2015-10-21 2016-02-03 深圳市理邦精密仪器股份有限公司 Intelligent lead switching method and device based on respiration parameters
CN105411575A (en) * 2015-12-01 2016-03-23 浙江铭众科技有限公司 Electrocardio-electrode position monitoring method
CN105411567A (en) * 2015-12-15 2016-03-23 北京世纪今科医疗器械有限公司 Electrocardiogram data analysis method and system
CN106974629A (en) * 2016-01-22 2017-07-25 周常安 Dynamic cardiovascular activity monitoring method and the system using this method
CN105726020A (en) * 2016-01-29 2016-07-06 深圳市理邦精密仪器股份有限公司 Electrode connection method and device for electrocardiogram equipment
CN105832328A (en) * 2016-03-15 2016-08-10 安徽华米信息科技有限公司 Processing method and device of electrocardiogram data, and garment
CN105852845A (en) * 2016-03-26 2016-08-17 深圳市前海安测信息技术有限公司 Wearable 12-lead remote electrocardiograph monitoring device as well as application system and method thereof
CN106901720A (en) * 2017-02-22 2017-06-30 安徽华米信息科技有限公司 The acquisition method of electrocardiogram (ECG) data, device and wearable device
CN106963361A (en) * 2017-03-10 2017-07-21 深圳市理邦精密仪器股份有限公司 Detection method, detection means and the electrocardio equipment of limb leads misconnection

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