CN111491557A - Lead electrode recognition device, method, storage medium and medical monitoring equipment - Google Patents
Lead electrode recognition device, method, storage medium and medical monitoring equipment Download PDFInfo
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Abstract
A lead electrode recognition apparatus (1) comprising a sensing module (11) comprising a plurality of sensing terminals (110), the sensing terminals (110) being for operation by a user and for sensing the operation of 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 the data analysis result of the sensing data; if the lead electrode is judged to be operated by the user, acquiring and outputting identification information of the operated lead electrode; a processor (13) for loading and executing the instructions; and a prompt module (14) for receiving the identification information of the operated lead electrode and sending out prompt information. A lead electrode identification method, a storage medium and a medical monitoring device are also provided. The lead electrode recognition device (1), method, storage medium and medical monitoring device can quickly and accurately recognize the lead electrode.
Description
The invention relates to the field of medical instruments, in particular to a lead electrode identification device, a lead electrode identification method, a storage medium and medical monitoring equipment.
Along with the popularization of the monitor, more and more non-professional or semi-professional users begin to use the monitor, the operation of the monitor comprises the connection of lead electrodes, the connection of the lead electrodes is a key step for the monitoring process, the position of the lead electrodes is wrong, wrong monitoring information and monitoring parameter results can be caused, the judgment of medical staff is influenced, and the rehabilitation of patients is further influenced.
The existing auxiliary connection mode of the lead electrodes is basically that marks such as L A, RA and the like or marks such as N, L, C and the like are marked on electrode lead lines and are added with colors for identification, when the lead electrodes are connected, the labels on the electrodes are required to be looked at, the operation is troublesome, and when the lead electrodes cannot be seen clearly at night, the lead electrodes can be connected wrongly.
Disclosure of Invention
The embodiment of the technical scheme discloses a device and a method for identifying lead electrodes, a storage medium and medical monitoring equipment, which can quickly and correctly identify the lead electrodes.
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, sensing the operation of the user and forming sensing data; a memory to store 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 the data analysis result of the sensing data; if the lead electrode is judged to be operated by the user, acquiring and outputting identification information of the operated lead electrode; a processor to load and execute 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: acquiring a sensing 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 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: the lead electrode recognition device as described above; the lead electrode recognition device comprises a plurality of lead electrodes, wherein a plurality of sensing ends of a sensing module in the lead electrode recognition device are respectively arranged on the plurality of lead electrodes.
The device, the method, the storage medium and the medical monitoring equipment for identifying the lead electrodes in the embodiment of the technical scheme can quickly and correctly identify the lead electrodes.
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used 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 it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a module schematic diagram of a lead electrode identification device according to an embodiment of the technical scheme.
Fig. 2 is a flow chart of a lead electrode identification method according to an embodiment of the present invention.
Fig. 3 is a 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.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the technical solutions of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a first embodiment of the present invention provides a lead electrode identification apparatus 1, where the lead electrode identification apparatus 1 is used to identify a plurality of lead electrodes on a medical monitoring device, and the lead electrode identification apparatus 1 includes a sensing module 11, a memory 12, a processor 13, and a prompting module 14.
The sensing module 11 includes a plurality of sensing terminals 110 (only two are shown), wherein each sensing terminal 110 can correspond to one lead electrode. The sensing terminal 110 is used for a user to operate, and sensing the operation of the user and forming sensing data.
The sensing terminal 110 includes an operation portion 111, a sensing element 112 and a signal processing unit 113.
The operation unit 111 is used for a user to perform operations, such as pinching, rubbing, pressing, and touching; the operation unit 111 may be provided on an electrode pad or a lead line 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 a lead electrode, or may be an electrode pad of the lead electrode itself, and if the sensing element is the electrode pad of the lead electrode itself, the operation portion 111 is located on the electrode pad.
When the sensing element 112 is a component disposed on the lead electrode, the sensing element 111 may be a pressure-sensitive element, a heat-sensitive element, a magnetic-sensitive element, a photosensitive element, 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 or other form of signal suitable for transmission and/or measurement and containing sensing data, and output the signal. In this embodiment, the signal is transmitted along the lead wire of the lead electrode, and the signal processing unit 113 can convert the sensing result into an electrical signal for output. In other embodiments, a radio frequency communication unit, a bluetooth communication unit, etc. may also be disposed in the signal processing unit 113, and in this case, the signal processing unit 113 may convert the sensing result into an electromagnetic wave signal suitable for wireless transmission, etc. and output the electromagnetic wave signal.
The signal processing unit 113 includes a filtering and signal amplifying element 1131, an a/D converting element 1132 and a signal outputting 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, so as to obtain sensing data. The signal output element 1133 is used for outputting the sensing data.
In this case, the a/D conversion element 1132 may not be provided, and an analog data signal may be directly output, where the sensing data is data including the analog data signal.
It will be appreciated that the sensor element 112 together with the signal processing unit 113 is a sensor element.
In a preferred embodiment, the sensing element 112 is used for sensing a pressure change of the user on the operation portion 111, and the pressure change can be derived from a pressure operation of the user on the operation portion 111, such as pressing, kneading, etc.; the signal processing unit 113 is configured to generate a corresponding analog pressure signal according to a sensing result of the sensing element 112, and is 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 sensing element 112 is a pressure-sensitive element.
In another preferred embodiment, the sensing element 112 is used for sensing a temperature change on the operation portion 111, the temperature change may be derived from a touch operation of a user on the operation portion 111, and the touch may cause the temperature change on the sensing element 112 because the temperature of a human body is generally different from the external temperature; the signal processing unit 113 is configured to generate a corresponding analog temperature signal according to a sensing result of the sensing element 112, and is further configured to convert the generated analog temperature signal into a digital signal and output the digital signal; it is understood that the sensing element 112 is a heat sensitive element.
In a further preferred embodiment, the sensing element 112 is used for sensing the acceleration change of the operation portion 111, and the acceleration change can be derived from the movement operation of the operation portion 111 by the user; the signal processing unit 113 is configured to generate a corresponding analog acceleration signal according to a sensing result of the sensing element 112, and is 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, a piezoresistive element, or the like.
In a further preferred embodiment, the sensing element 112 is used for sensing a mechanical deformation and a voltage change of the operation portion 111, the voltage change may be derived from a pressure operation of the operation portion 111 by a user, such as pressing, kneading, and the like, and the pressure operation may cause the mechanical deformation of the sensing element 112 to generate a voltage change; the signal processing unit 113 is configured to generate a corresponding analog voltage signal according to a sensing result of the sensing element 112, and is further configured to convert the generated analog voltage signal into a digital signal and output the digital signal; it is understood that the sensing element 112 is a strain gauge.
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 user's touch or blocking operation on the operation portion 111, and the touch or blocking operation 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 quantity signal according to a sensing result of the sensing element 112, and is further configured to convert the generated analog light reflection quantity signal into a digital signal and output the digital signal; it is understood that, in this case, the sensing element 112 is a photosensitive element.
In a further preferred embodiment, the sensing element 112 is used for sensing an electromagnetic change of the operation portion 111, the electromagnetic change may be derived from a contact or proximity operation of the user on the operation portion 111, and the proximity or contact with the sensing element 112 may change a magnetic field distribution of the sensing element 112 because a human body is a magnetic field; the signal processing unit 113 is configured to generate a corresponding analog electromagnetic signal according to an induction result of the sensing element 112, and is further configured to convert the generated analog electromagnetic signal into a digital signal and output the digital signal; it is understood that the sensing element 112 is a magnetic sensing element.
In a further preferred embodiment, the sensing element 112 is configured to sense a voltage change of the operation portion 111, the voltage change may be derived from a touch operation of the user on the operation portion 111, and since a human body is a conductive body, the touch of the sensing element 112 may change a resistance of the sensing element 112, and thus a voltage applied to the sensing element 112; the signal processing unit 113 is configured to generate a corresponding analog voltage signal according to a sensing result of the sensing element 112, and is further configured to convert the generated analog voltage signal into a digital signal and output the digital signal; it will be appreciated that in this case the sensing element 112 may be the electrode pad of the lead electrode itself.
The memory 12 is configured to store a plurality of instructions for loading and executing 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 sensing data after removing noise frequencies; extracting frequency domain features in the sensing data after removing noise frequency;
judging whether the lead electrode is operated by a user according to the data analysis result of the sensing data; a time domain threshold value can be preset, the average value of the time domain data of the sensing data within a certain time is counted, the average value of the time domain data is compared with the time domain threshold value, and when the average value of the time domain data is greater than or equal to the time domain threshold value for the first time, the lead electrode is judged to be operated by a user, it can be understood that the average value can be replaced by a middle value, a maximum value, a minimum value, a mean square error and the like, and the certain time can be any time period; a frequency domain threshold value can also be preset, the fluctuation size of the frequency domain data of the sensing data within a certain time is counted, the fluctuation size of the frequency domain data is compared with the frequency domain threshold value, and when the fluctuation size of the frequency domain data is greater 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 also be any time period; the time domain threshold and the frequency domain threshold may also be not set, but a machine learning manner is used to determine a time domain or frequency domain data rule by a statistical method, and a corresponding time domain or frequency domain data range of the lead electrode when operated by a user is derived, so that by determining whether measured time domain or frequency domain data falls within the corresponding time domain or frequency domain data range of the lead electrode when operated by the user, if the measured time domain or frequency domain data falls within the corresponding time domain or frequency domain data range of the lead electrode when operated by the user, it is determined that the lead electrode is operated by the user, and it can be understood that the corresponding time domain and frequency domain data range of the lead electrode when operated by the user is in a real-time corrected state and is not fixed;
if the lead electrode is judged to be operated by the user, the identification information of the operated lead electrode is obtained and output, wherein the identification information of the operated lead electrode may include electrode information, such as RA, R L, and the like, and may further include installation position guide information of the lead electrode, such as the first intercostal of the clavicle on the right sternum edge, and the like, wherein the identification information of the operated lead electrode may 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, and the identification information of the operated lead electrode may be obtained by analyzing the sensing data, or the identification information of the operated lead electrode may be obtained by comparing the transmission paths of the sensing data, such as the 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 may obtain the identification information of the operated lead electrode by confirming the transmission port;
controlling the prompt module 14 to send prompt information; the prompt information comprises the identification information content of the operated lead electrode, and the prompt information can be sent out in the form of sound, image or sound plus image; wherein the image may include a recognition image of the lead electrode and may further include a placement guide map of the lead electrode;
controlling the prompt module 14 to close the prompt message; the prompt information can be controlled to be closed by judging whether the lead electrode is successfully installed, if the lead electrode is installed at a proper position of the body of a user, the prompt information is closed, and the information about whether the lead electrode is successfully installed can be provided by connected medical monitoring equipment, can also be judged and provided manually, and can also 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 the 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 the lead electrode is judged not to be operated by a user and is delayed for a certain time, the prompt information can be closed so as to give the time for the user to receive the prompt information; here, the average value of the time domain data of the sensing data may also be a median, a maximum, a minimum, a mean square error, and the like 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 issue the prompt information; the prompting module 14 may be an audio output element, an image output element, or an audio plus image output element, corresponding to different types of the prompting information.
Referring to fig. 2, a second embodiment of the present invention provides a lead electrode identification method 2, where the lead electrode identification method 2 includes the steps of:
s201, acquiring a sensing 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 the 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
and S208, closing the prompt message.
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 to obtain an analog data signal, and converting the analog data signal into a digital signal to obtain 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 sensing data after removing noise frequencies; and extracting frequency domain features in the sensing data after removing noise frequencies.
In step S205, a time domain threshold may be preset, an average value of the time domain data of the sensing data within a certain time period is counted, the average value of the time domain data is compared with the time domain threshold, and 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, it may be understood that the average value may be replaced by a maximum value, a minimum value, a mean square error, and the like, and the certain time period may also be any time period; a frequency domain threshold value can also be preset, the fluctuation size of the frequency domain data of the sensing data within a certain time is counted, the fluctuation size of the frequency domain data is compared with the frequency domain threshold value, and when the fluctuation size of the frequency domain data is greater 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 also be any time period; the time domain threshold and the frequency domain threshold may not be set, but a time domain or frequency domain data rule is determined by a statistical method in a machine learning manner, and a corresponding time domain or frequency domain data range of the lead electrode when operated by a user is derived, so that whether the lead electrode is operated by the user is determined by determining whether the measured time domain or frequency domain data falls into the corresponding time domain or frequency domain data range of the lead electrode when operated by the user, which can be understood that the corresponding time domain and frequency domain data range of the lead electrode when operated by the user is in a real-time corrected state and is not fixed.
In step S206, the identification information of the operated lead electrode may include electrode information, such as RA, R L, and the like, and may further include installation position guidance information of the lead electrode, for example, the lead electrode should be installed between the first intercostals of the clavicle midline at the right edge of the sternum, and the like.
The identification information of the operated lead electrode can be obtained by analyzing the sensing data, for example, a 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 relationship between the data source of the sensing data and the lead electrode; or acquiring a transmission port of the sensing data, and acquiring identification information of the operated lead electrode by referring to the corresponding relation between the transmission port and the lead electrode.
In step S207, the prompt information includes identification information of the operated lead electrode, and the prompt information may be emitted in the form of sound, image, or sound plus image; wherein 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 installed at a proper position of the body of the user, the prompt information may be turned off, wherein the information about whether the lead electrode is successfully placed may be provided by a connected medical monitoring device, may be determined and provided manually, or may be obtained through other approaches; 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 method for judging whether the lead electrode is still operated by the user can be as follows: counting the average value of the 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; here, the average value of the time domain data of the sensing data may also be a median, a maximum, a minimum, a mean square error, and the like of the time domain data of the sensing data.
Preferably, the prompt message is turned off after a certain time delay after the lead electrode is judged to be not operated by a user.
Compared with the traditional lead electrode identification device and method, the lead electrode identification device and method in the embodiment of the technical scheme can be used for sensing the operation of a user and judging whether the lead electrode is operated by the user, and if the lead electrode is operated by the user, the identification information of the conductive electrode is obtained and prompt information is sent out, so that the user can quickly and accurately identify the lead electrode.
Referring to fig. 3, a third embodiment of the present invention provides a medical monitoring device 3, wherein the medical monitoring device 3 includes a lead electrode identification apparatus 1 according to the first embodiment, a plurality of lead electrodes 31, and a data receiving end 32.
Wherein, the sensing terminals 110 of the sensing module 11 in the lead electrode recognition apparatus 1 are respectively disposed on the lead electrodes 31 (two sensing terminals 110 are illustrated in the figure).
The data receiving end 32 can be a bedside machine, a portable monitor, a wearable mobile monitoring device, an electrocardiograph, a central monitoring station, etc., and the prompt module 14 can be a display and/or a speaker of the data receiving end 32.
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 prompt module 14 in the lead electrode identification device 1 are all disposed on the data receiving terminals 32.
In another different embodiment, please refer to fig. 4, the number of the data receiving terminals 32 is two, and the two data receiving terminals are connected in series, the first data receiving terminal 32 connected to the sensing module 11 is preferably a portable monitor or a wearable mobile monitoring device, and the second data receiving terminal 32 connected in series to the first data receiving terminal 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, which can both output prompt information, the prompt information output by the two data receiving ends 32 can be in the same or different form, and the prompt information form refers to sound, image 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 such a configuration, the medical monitoring device 3 can be flexibly used, for example, when the second data receiving terminal 32 is not connected in series (e.g., pulled off), the first data receiving terminal 32 can be used as a portable monitor or a wearable mobile monitoring device together with the lead electrode 21, and the lead electrode identification function of the present embodiment is also provided; when the first data receiving terminal 32 is not connected in series, the second data receiving terminal 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 of the present invention.
In another different embodiment, please refer to fig. 5, the number of the data receiving terminals 32 is two, and the two data receiving terminals are connected in series, the first data receiving terminal 32 connected to the sensing module 11 is preferably a portable monitor or a wearable mobile monitoring device, and the second data receiving terminal 32 connected in series to the first data receiving terminal 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, the function of processing the sensing data is not provided, the data processing result transmitted by the first data receiving end 32, namely the identification information of the lead electrode, can be received, but both data receiving ends can output prompt information, and the prompt information output by both data receiving ends 32 can be in the same or different forms. In this way, the two data receiving terminals 32 can be flexibly connected in series, but the lead electrode identification function of the present embodiment is not available when only the second data receiving terminal 32 is connected in series.
In another different embodiment, please refer to fig. 6, the number of the data receiving terminals 32 is two, and the two data receiving terminals are connected in series, the first data receiving terminal 32 connected to the sensing module 11 is preferably a portable monitor or a wearable mobile monitoring device, and the second data receiving terminal 32 connected in series to the first data receiving terminal 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 prompting module 14, and only the second data receiving end 32 is provided with the memory 12, the processor 13 and the prompting module 14. In practical operation, the embodiment may actually perform the identification operation by using a set of independent lead electrodes, or by using lead electrodes on a portable monitor or a wearable mobile monitoring device. When a set of independent lead electrodes are applied to identification operation, two data receiving ends 32 can be flexibly connected in series, but the lead electrodes do not have the lead electrode identification function when only the first data receiving end 32 is connected in series; when a portable monitor or a wearable mobile monitoring device is used to perform the identification operation, the lead electrode and the first data receiving terminal 32 are generally an integral structure which can not be disassembled, and generally only can be connected in series or not connected in series with the second data receiving terminal 32.
In another different embodiment, referring to fig. 7, the number of the data receiving terminals 32 is two, and the two data receiving terminals 32 are connected in parallel, each of the two data receiving terminals 32 is provided with a memory 12, a processor 13 and a prompt module 14, and can output prompt information, and the forms of the prompt information output by the two data receiving terminals 32 may 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 data receiving terminals 32 connected in series and in parallel, prompt information can be sent out on the two data receiving terminals 32, so that multiple persons can receive information, and the information can be referred to each other to prevent errors; when the forms of the cue messages on the two data receiving terminals 32 are different, in addition to the above-described effect, even if one person receives the messages, the different forms of the cue messages on the two data receiving terminals 32 can be referred to each other.
Compared with the traditional medical monitoring equipment, the medical monitoring equipment of the embodiment of the technical scheme adopts the lead electrode identification device, and can quickly and accurately identify the lead electrode.
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 embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (38)
- 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, sensing the operation of the user and forming sensing data;a processor to implement instructions;a memory to store a plurality of instructions that are loaded and executed by the processor to:performing data analysis on the sensing data;judging whether the lead electrode is operated by a user according to the data analysis result of the sensing data; andif the lead electrode is judged to be operated by the user, acquiring and outputting identification information of the operated lead electrode;and the prompting module is used for receiving the identification information of the operated lead electrode and sending out prompting information.
- A lead electrode identification device as claimed in claim 1 in which the sensing end comprises:an operation part for the user to operate;the sensitive element is used for sensing the operation of the operation part and forming a sensing result; andand 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.
- A lead electrode recognition device as claimed in claim 2, 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;the A/D conversion element is used for converting the analog data signal into a digital signal so as to obtain sensing data; andand the signal output element is used for outputting the sensing data.
- A lead electrode recognition device as claimed in claim 2, wherein the sensing element is a pressure-sensitive element for sensing pressure change on the operation part by a user, and the signal processing unit is configured to generate and output a corresponding pressure signal according to the sensing result of the sensing element; or, the sensitive element is a thermosensitive 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 for sensing acceleration change on the operation part, and the signal processing unit is used for generating and outputting a corresponding acceleration signal according to a sensing result of the sensing element; or, the sensitive element is a strain gauge used for sensing mechanical deformation and 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; or, the sensitive element is a photosensitive element and is used for sensing the change of the light reflection quantity 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 used for sensing the electromagnetic change on the operation part, and the signal processing unit is used for generating and outputting a corresponding electromagnetic signal according to the sensing result of the sensitive element; or, the sensing element is an electrode plate of a lead electrode and is used for sensing voltage change on the operation part, and the signal processing unit is used for generating and outputting a corresponding voltage signal according to a sensing result of the sensing element.
- A lead electrode recognition apparatus according to claim 1, wherein performing data analysis on the sensory data comprises: extracting time domain features in the sensing data; determining whether the lead electrode is manipulated by a user comprises: presetting a time domain threshold, counting the average value, the middle value, the maximum value, the minimum value or the mean square error of the time domain data of the sensing data within 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 greater than or equal to the time domain threshold for the first time.
- A lead electrode recognition apparatus according to claim 1, wherein performing data analysis on the sensory data comprises: extracting frequency domain features in the sensing data; determining whether the lead electrode is manipulated by a user comprises: presetting a frequency domain threshold, counting the fluctuation size of the 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 greater than or equal to the frequency domain threshold for the first time.
- A lead electrode identification device as claimed in claim 1 in which the statistical method is used to determine the time or frequency domain data law by machine learning and derive the corresponding time or frequency domain data range for the lead electrode when operated by the user, whereby the lead electrode is determined to be operated by the user by determining whether the measured time or frequency domain data falls within the corresponding time or frequency domain data range for the lead electrode when operated by the user, and if so.
- A lead electrode identification device as claimed in claim 1 wherein the operated lead electrode identification information includes electrode information and/or lead electrode mounting location guidance information.
- A lead electrode identification device as claimed in claim 1 wherein the sensing data includes information about the sensing terminal corresponding to the data source, and the memory stores the corresponding relationship between the sensing terminal and the lead electrode, and the sensing data is analyzed to obtain the identification information of the operated lead electrode.
- A lead electrode recognition device as claimed in claim 1, wherein sensing data on different lead electrodes is transmitted to the processor via different ports, and the memory stores port-to-lead electrode correspondence, and identification information of the operated lead electrode is obtained by confirming the transmission port.
- A lead electrode identification device as claimed in claim 1 wherein the prompt is emitted in the form of a sound, an image or a sound plus an image.
- A lead electrode identification device as claimed in claim 1 wherein the instructions further comprise: and judging whether the lead electrode is successfully installed, and if the lead electrode is installed to the proper position of the body of the user, closing the prompt message.
- A lead electrode identification device as claimed in claim 1 in which it is determined whether the lead electrode is still under the control of user operation, and if the lead electrode is not under the control of user operation, the prompt is turned off with a delay.
- A lead electrode identification device as claimed in claim 13 wherein the instructions to determine whether the lead electrode is still operated by the user comprise: and counting the average value of the time domain data of the sensing data within a certain time, 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 threshold value, judging that the lead electrode is still operated by the 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 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, the middle value, the maximum value, the minimum value or the mean square error of the time domain data is lower than the threshold value for the second time.
- A lead electrode identification method comprising the steps of:acquiring a sensing 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; andissuing prompt information including identification information of the operated lead electrode.
- A lead electrode identification method as claimed in claim 15 wherein the sensing result is a pressure change value, a temperature change value, an acceleration change value, a voltage change value, a light reflectance change value or an electromagnetic change value.
- A lead electrode identification method as claimed in claim 15 wherein converting the sensing results into sensing data comprises data processing the sensing results and obtaining an analogue data signal; and converting the analog data signal into a digital signal, thereby obtaining the sensing data.
- A lead electrode identification method as claimed in claim 15 further comprising the step of prior to data analysis of the sensed data: filtering a noise frequency in the sensed data.
- A lead electrode identification method as claimed in claim 15 wherein performing data analysis on the sensory data comprises: extracting time domain features in the sensing data; determining whether the lead electrode is manipulated by a user comprises: presetting a time domain threshold, counting the average value, the middle value, the maximum value, the minimum value or the mean square error of the time domain data of the sensing data within 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 greater than or equal to the time domain threshold for the first time.
- A lead electrode identification method as claimed in claim 15 wherein performing data analysis on the sensory data comprises: extracting frequency domain features in the sensing data; determining whether the lead electrode is manipulated by a user comprises: presetting a frequency domain threshold, counting the fluctuation size of the 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 greater than or equal to the frequency domain threshold for the first time.
- A lead electrode identification method as claimed in claim 15 characterised in that a machine learning approach is used to statistically determine the time or frequency domain data law and derive the corresponding time or frequency domain data range for the lead electrode when operated by the user, whereby the lead electrode is determined to be operated by the user if the measured time or frequency domain data falls within the corresponding time or frequency domain data range for the lead electrode when operated by the user.
- A lead electrode identification method as claimed in claim 15 wherein the operated lead electrode identification information includes electrode information and/or lead electrode mounting location guidance information.
- A lead electrode identification method as claimed in claim 15 wherein the sensing data includes information of the sensing terminal corresponding to the data source, and the memory stores the corresponding relationship between the sensing terminal and the lead electrode, and the sensing data is analyzed to obtain the identification information of the operated lead electrode.
- A lead electrode identification method as claimed in claim 15 wherein sensing data on different lead electrodes is transmitted to the processor via different transmission ports, and the memory stores port-to-lead electrode correspondence, and identification information of the operated lead electrode is obtained by identifying the transmission port.
- A lead electrode identification method as claimed in claim 15 wherein the prompt is emitted in the form of a sound, an image or a sound plus an image.
- A lead electrode identification method as claimed in claim 15 further comprising the steps of: and judging whether the lead electrode is successfully installed, and if the lead electrode is installed to the proper position of the body of the user, closing the prompt message.
- A lead electrode identification method as claimed in claim 15 further comprising the steps of: and judging whether the lead electrode is still operated by the user, if the lead electrode is not operated by the user, delaying for a certain time, and closing the prompt information.
- A lead electrode identification method as claimed in claim 27 wherein the step of determining whether the lead electrode is still being operated by a user comprises: and counting the average value of the time domain data of the sensing data within a certain time, 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 threshold value, judging that the lead electrode is still operated by the 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 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, the middle value, the maximum value, the minimum value or the mean square error of the time domain data is lower than the threshold value for the second time.
- A computer-readable storage medium storing a program, wherein the program causes a computer to perform a lead electrode identification method according to any one of claims 15 to 28.
- A medical monitoring device, comprising:a lead electrode identification device as claimed in any one of claims 1 to 14;the lead electrode recognition device comprises a plurality of lead electrodes, wherein a plurality of sensing ends of a sensing module in the lead electrode recognition device are respectively arranged on the plurality of lead electrodes.
- The medical monitoring device of claim 30, 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.
- The medical monitoring device of claim 31, wherein the data receiving end is a bedside machine, a portable monitor, a wearable mobile monitoring device, an electrocardiograph, or a central monitoring station.
- The medical monitoring device of claim 30, further comprising two data receiving terminals, a first of the data receiving terminals is connected to the sensing module, a second of the data receiving terminals is connected in series with the first of the data receiving terminals, the first of the data receiving terminals is a portable monitor or a wearable mobile monitoring device, and the second of the data receiving terminals is a bedside machine, an electrocardiograph, or a central monitoring station.
- The medical monitoring device of claim 33, wherein both of the data receiving terminals are configured with the memory, the processor and the prompting module, and both of the data receiving terminals are configured to send out prompting information.
- The medical monitoring device of claim 33, wherein a first of said data receiving terminals is provided with said memory, said processor and said prompting module, and a second of said data receiving terminals is provided with said prompting module, the first of said data receiving terminals being configured to process data and output lead electrode identification information and to send out prompting information; 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 prompt information.
- The medical monitoring device of claim 33, wherein only a second of said two data receiving ends is provided with said memory, said processor and said prompting module.
- The medical monitoring device of claim 36, wherein a first one of said data receiving terminals is integral with said plurality of lead electrodes.
- The medical monitoring device of claim 30, further comprising two data receiving terminals, both of which are connected in parallel and to the sensing module, wherein a first of the data receiving terminals is a portable monitor or a wearable mobile monitoring device, and a second of the data receiving terminals is a bedside machine, an electrocardiograph, or a central monitoring station.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2017/116492 WO2019113944A1 (en) | 2017-12-15 | 2017-12-15 | Lead electrode identification apparatus and method, storage medium, and medical monitoring device |
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| CN111491557B CN111491557B (en) | 2024-04-05 |
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Citations (48)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030153840A1 (en) * | 2002-02-12 | 2003-08-14 | Brodnick Donald E. | Physiological-signal-analysis device having a plurality of electrode leads |
| CN1620266A (en) * | 2001-12-22 | 2005-05-25 | 久佩久有限公司 | Medical electrode system and method |
| US20060009691A1 (en) * | 2004-06-17 | 2006-01-12 | Samsung Electronics Co., Ltd. | Method, medium, and apparatus measuring biological signals using multi-electrode module, with a lead search |
| US20070293774A1 (en) * | 2006-06-15 | 2007-12-20 | Angelo Joseph Acquista | Wireless electrode arrangement and method for patient monitoring via electrocardiography |
| 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 |
| US20090299421A1 (en) * | 2008-06-02 | 2009-12-03 | Medtronic, Inc. | Evaluation of implantable medical device sensing integrity based on evoked signals |
| US20090299422A1 (en) * | 2008-06-02 | 2009-12-03 | Medtronic, Inc. | Electrogram storage for suspected non-physiological episodes |
| US20100041975A1 (en) * | 2008-07-16 | 2010-02-18 | MASSACHUSETTS GENERAL HOSPITAL D/B/A Massachusetts General Hospital | Patient monitoring systems and methods |
| 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 |
| 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 |
| 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 |
| US20120316420A1 (en) * | 1999-07-27 | 2012-12-13 | Jorge Hernando Ordonez-Smith | Electrocardiographic Method and Apparatus based on Bipolar, Non-vectorial, Truncal Leads or Real Unipolar Leads |
| US20130085538A1 (en) * | 2011-09-01 | 2013-04-04 | Zoll Medical Corporation | Wearable monitoring and treatment device |
| US20130204100A1 (en) * | 2006-06-15 | 2013-08-08 | Wireless Live D/B/A Peerbridge Health | Wireless electrode arrangement and method for patient monitoring via electrocardiography |
| US20130345540A1 (en) * | 2009-01-20 | 2013-12-26 | Alfred Salazar | Portable system and method for monitoring of a heart and other body functions |
| US20140081118A1 (en) * | 2011-05-23 | 2014-03-20 | Shl Telemedicine International Ltd. | Electrocardiographic monitoring system and method |
| 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 |
| US20140320309A1 (en) * | 2011-07-14 | 2014-10-30 | Jinjing Zhang | Cardiac Electricity and Impedance Monitoring Mobile Network Terminal Device Having Function of Micro Current Release |
| 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 |
| US20150208936A1 (en) * | 2014-01-24 | 2015-07-30 | General Electric Company | Method for ecg lead placement changes to be accurately accounted for |
| 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 |
| US20160051159A1 (en) * | 2014-08-22 | 2016-02-25 | Medtronic, Inc. | Visual representation of a cardiac signal sensing test |
| 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 |
| CN105411575A (en) * | 2015-12-01 | 2016-03-23 | 浙江铭众科技有限公司 | Electrocardio-electrode position monitoring method |
| US20160135701A1 (en) * | 2014-11-14 | 2016-05-19 | Stefan DRAKE | Systems and methods for performing electrocardiograms |
| 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 |
| US20160262619A1 (en) * | 2015-03-11 | 2016-09-15 | Medicomp, Inc. | Wireless ecg sensor system and method |
| US20160331258A1 (en) * | 2015-05-13 | 2016-11-17 | 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 |
| US20170052630A1 (en) * | 2015-08-19 | 2017-02-23 | Samsung Electronics Co., Ltd. | Method of sensing pressure by touch sensor and electronic device adapted thereto |
| 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 |
| US20170105678A1 (en) * | 2015-10-16 | 2017-04-20 | General Electric Company | Method and system of directing positioning of ecg electrodes |
| 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 (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6142949A (en) * | 1998-11-24 | 2000-11-07 | Ortivus Ab | Lead protection and identification system |
| 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 |
| 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 |
-
2017
- 2017-12-15 WO PCT/CN2017/116492 patent/WO2019113944A1/en active Application Filing
- 2017-12-15 CN CN201780097810.5A patent/CN111491557B/en active Active
Patent Citations (48)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120316420A1 (en) * | 1999-07-27 | 2012-12-13 | Jorge Hernando Ordonez-Smith | Electrocardiographic Method and Apparatus based on Bipolar, Non-vectorial, Truncal Leads or Real Unipolar Leads |
| CN1620266A (en) * | 2001-12-22 | 2005-05-25 | 久佩久有限公司 | Medical electrode system and method |
| US20030153840A1 (en) * | 2002-02-12 | 2003-08-14 | Brodnick Donald E. | Physiological-signal-analysis device having a plurality of electrode leads |
| US20060009691A1 (en) * | 2004-06-17 | 2006-01-12 | Samsung Electronics Co., Ltd. | Method, medium, and apparatus measuring biological signals using multi-electrode module, with a lead search |
| US20070293774A1 (en) * | 2006-06-15 | 2007-12-20 | Angelo Joseph Acquista | Wireless electrode arrangement and method for patient monitoring via electrocardiography |
| US20130204100A1 (en) * | 2006-06-15 | 2013-08-08 | Wireless Live D/B/A Peerbridge Health | Wireless electrode arrangement and method for patient monitoring via electrocardiography |
| US20090299422A1 (en) * | 2008-06-02 | 2009-12-03 | 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 |
| US20100041975A1 (en) * | 2008-07-16 | 2010-02-18 | MASSACHUSETTS GENERAL HOSPITAL D/B/A Massachusetts General Hospital | Patient monitoring systems and methods |
| 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 |
| US20130345540A1 (en) * | 2009-01-20 | 2013-12-26 | Alfred Salazar | Portable system and method for monitoring of a heart and other body functions |
| 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 |
| 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 |
| CN201905889U (en) * | 2010-12-27 | 2011-07-27 | 高杰 | Novel portable 12-lead electrocardiogram machine |
| US20140081118A1 (en) * | 2011-05-23 | 2014-03-20 | Shl Telemedicine International Ltd. | Electrocardiographic monitoring system and method |
| US20140320309A1 (en) * | 2011-07-14 | 2014-10-30 | Jinjing Zhang | Cardiac Electricity and Impedance Monitoring Mobile Network Terminal Device Having Function of Micro Current Release |
| US20130085538A1 (en) * | 2011-09-01 | 2013-04-04 | Zoll Medical Corporation | Wearable monitoring and treatment device |
| 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 |
| US20150208936A1 (en) * | 2014-01-24 | 2015-07-30 | General Electric Company | Method for ecg lead placement changes to be accurately accounted for |
| CN203724087U (en) * | 2014-02-28 | 2014-07-23 | 马骁 | Lead standard interface and universal lead wire for electrocardiosignal collection |
| 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 |
| US20160051159A1 (en) * | 2014-08-22 | 2016-02-25 | Medtronic, Inc. | Visual representation of a cardiac signal sensing test |
| 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 |
| US20160135701A1 (en) * | 2014-11-14 | 2016-05-19 | Stefan DRAKE | Systems and methods for performing electrocardiograms |
| 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 |
| US20160262619A1 (en) * | 2015-03-11 | 2016-09-15 | Medicomp, Inc. | Wireless ecg sensor system and method |
| US20160331258A1 (en) * | 2015-05-13 | 2016-11-17 | Medtronic, Inc. | Determining onset of cardiac depolarization and repolarization waves for signal processing |
| 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 |
| US20160360988A1 (en) * | 2015-06-15 | 2016-12-15 | Igor Abramov | Ecg leads |
| US20170052630A1 (en) * | 2015-08-19 | 2017-02-23 | Samsung Electronics Co., Ltd. | Method of sensing pressure by touch sensor and electronic device adapted thereto |
| US20170105678A1 (en) * | 2015-10-16 | 2017-04-20 | General Electric Company | Method and system of directing positioning of ecg electrodes |
| 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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| Publication number | Publication date |
|---|---|
| WO2019113944A1 (en) | 2019-06-20 |
| CN111491557B (en) | 2024-04-05 |
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