WO2023024881A1 - Procédé de traçage vidéo pour patient atteint d'une maladie chronique et appareil associé - Google Patents

Procédé de traçage vidéo pour patient atteint d'une maladie chronique et appareil associé Download PDF

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Publication number
WO2023024881A1
WO2023024881A1 PCT/CN2022/110915 CN2022110915W WO2023024881A1 WO 2023024881 A1 WO2023024881 A1 WO 2023024881A1 CN 2022110915 W CN2022110915 W CN 2022110915W WO 2023024881 A1 WO2023024881 A1 WO 2023024881A1
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WIPO (PCT)
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information
patient
target patient
video
image
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PCT/CN2022/110915
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English (en)
Chinese (zh)
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王倩
邓泽
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苏州景昱医疗器械有限公司
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Publication of WO2023024881A1 publication Critical patent/WO2023024881A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
    • H04N23/661—Transmitting camera control signals through networks, e.g. control via the Internet
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4082—Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/845—Structuring of content, e.g. decomposing content into time segments
    • H04N21/8456—Structuring of content, e.g. decomposing content into time segments by decomposing the content in the time domain, e.g. in time segments
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/76—Television signal recording
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Definitions

  • the present application relates to the technical field of telemedicine, in particular to a method, device, electronic equipment and readable storage medium for video tracing of patients with chronic diseases.
  • chronic disease chronic non-communicable disease. It does not refer to a certain disease, but to a class of insidious onset, long course of disease and protracted disease, lack of definite evidence of infectious biological etiology, complex etiology, and some have not been fully recognized.
  • a general term for confirmed diseases mainly include chronic nervous system diseases, cardiovascular and cerebrovascular diseases, cancer, diabetes, chronic respiratory diseases, and cardiovascular and cerebrovascular diseases include hypertension, stroke and coronary heart disease; , will cause harm to the patient's economy and life.
  • the purpose of this application is to provide a video tracing method, device, electronic equipment and readable storage medium for patients with chronic diseases, so as to solve the problem of inconvenient video tracing between doctors and patients in the prior art.
  • the present application provides a video tracing method for patients with chronic diseases.
  • the method includes: generating time indication information based on the disease information of the target patient, the disease information being used to indicate the chronic disease type of the target patient; The time indication information, sending recording prompt information to the patient device corresponding to the target patient, so that the target patient can receive the recording prompt information, the recording prompt information is used to instruct the target patient to record video; receiving The video information and recording time information sent by the patient equipment, and based on the video information, determine the display image of the target patient; store the display image and the recording time information in a storage device.
  • the beneficial effect of this technical solution is: generate time indication information according to the disease information of the target patient, then instruct the patient to record according to the time indication information, and receive the video information and recording time information recorded by the target patient, thereby determining the display image of the target patient , and store the display image and recording time information together; the doctor can easily use the stored display image and recording time information to trace the chronic disease condition of the target patient, without regular real-time communication with the target patient, and the patient does not need to go to the hospital regularly At the same time, it is convenient for doctors and patients; the time indication information can be generated according to the disease information of the target patient, and different time indication information can be generated according to different patient types, which expands the application range for different patient types.
  • the method further includes: based on the display image and the recording time information, generating first prompt information and sending it to the doctor equipment, the first prompt information is used to indicate the target The patient has recorded the video at the recording time indicated by the recording time information; using the doctor equipment to receive a viewing operation; in response to the viewing operation, displaying the display image on the doctor equipment.
  • the beneficial effect of this technical solution is: the first prompt information is generated and sent to the doctor's equipment to remind the doctor that the target patient has been recorded, and the display image is sent to the doctor's equipment after receiving the viewing operation; the first prompt information can promptly remind the doctor to check in time Display the image to avoid delaying the patient's condition. After receiving the viewing operation, the displayed image is sent to the doctor's equipment, which can avoid the network traffic peak caused by a large number of patients recording video information at the same time, and make the transmission of video information smoother.
  • the receiving video information and recording time information sent by the patient device, and determining the display image of the target patient based on the video information further includes: Disease information, generating characteristic part information of the target patient, the characteristic part information is used to indicate the characteristic part of the target patient; when it is detected that the display content of the video information includes the characteristic part, based on the video information to determine the display image of the target patient; when it is detected that the display content of the video information does not include the feature part, generate second prompt information and send it to the patient device, the second prompt information is used to prompt The target patient re-records the video.
  • the beneficial effect of this technical solution is to detect whether the display content of the video information includes the characteristic part corresponding to the disease information of the target patient, and if not, prompt the target patient to re-record until the display content of the video information includes the disease information corresponding to the target patient.
  • the characteristic parts corresponding to the information avoid the storage of invalid video information caused by the wrong operation of the target patient, and improve the operational efficiency of video tracing for patients with chronic diseases.
  • the receiving video information and recording time information sent by the patient device, and determining the display image of the target patient based on the video information further includes: Information about characteristic parts, obtaining a characteristic image corresponding to the target patient from the video information; obtaining a background image corresponding to the target patient; synthesizing the characteristic image and the background image to generate a composite image as the Display the image.
  • the beneficial effect of this technical solution is that the characteristic image corresponding to the characteristic part of the target patient is synthesized with the background image, and the synthesized image is used as the display image, which can avoid other problems around the target patient while ensuring that the characteristic part of the target patient is displayed.
  • the image compromises the privacy of the intended patient or interferes with the doctor's observation.
  • the method further includes: based on the time indication information, detecting whether the target patient records the video information within a first preset time range; When the video information is recorded within a preset time range, third reminder information is generated and sent to the doctor device and/or the patient device, the third reminder information is used to remind the doctor and/or the patient device
  • the target patient the target patient has not recorded the video information within the first preset time range.
  • the beneficial effect of this technical solution is: to detect whether the target patient records video information within the first preset time range, and when the video information is not recorded within the first preset time range, the target patient and/or doctor are prompted to reduce the risk of being caused by the target patient. Failure to record video information within the first preset time range due to negligence and other reasons caused delays in illness.
  • the method further includes: based on the disease information, determining an action recognition model corresponding to the target patient, where the action recognition model is used to identify the action type, action frequency, and action corresponding to the image At least one of the magnitude; using the action recognition model to identify the display image to obtain parameter information corresponding to the target patient, the parameter information is used to indicate the target patient's action parameters and their parameter values; Send the parameter information to the doctor equipment.
  • the beneficial effect of this technical solution is that: use the action recognition model to identify the parameter information of the target patient, and send the parameter information to the doctor's equipment, which can provide quantitative reference information for the doctor, which is convenient for the doctor to refer to the parameter information, combined with his own professional knowledge , to make a judgment on the disease development of the target patient; according to different patient types, different action recognition models can be determined, which expands the scope of application of the action recognition model in the video traceability method for patients with chronic diseases.
  • the method further includes: using the doctor device to receive a selection operation and generate time range information, where the time range information is used to indicate a second preset time range; based on the time range information and parameter information, generating comparative display information, where the comparative display information is used to indicate a change trend of the parameter information within a second preset time range; and sending the comparative display information to the doctor device.
  • the beneficial effect of this technical solution is: receiving the selection operation, and determining the time range based on it, using the parameter information corresponding to the time range to generate comparative display information indicating the change trend of the parameter information within the time range, and sending it to the doctor’s equipment, which can Provide doctors with quantified change trends as reference information, and further facilitate doctors to make judgments on the development of the target patient's condition based on the change trend as reference information and combined with their own professional knowledge.
  • the present application provides a video tracing device for patients with chronic diseases, the device comprising: a time generating module, configured to generate time indication information based on the disease information of the target patient, the disease information being used to indicate the target patient's Chronic disease type; a recording prompt module, configured to send recording prompt information to the patient device corresponding to the target patient based on the time indication information, so that the target patient can receive the recording prompt information, and the recording prompt information used to instruct the target patient to record video; an image determination module, configured to receive video information and recording time information sent by the patient device, and determine a display image of the target patient based on the video information; an information storage module, and storing the display image and the recording time information in a storage device.
  • a time generating module configured to generate time indication information based on the disease information of the target patient, the disease information being used to indicate the target patient's Chronic disease type
  • a recording prompt module configured to send recording prompt information to the patient device corresponding to the target patient based on the time indication information, so that the target patient
  • the image sending module includes: a first prompt module, configured to generate first prompt information based on the display image and the recording time information and send it to the doctor equipment, the first The prompt information is used to indicate that the target patient has recorded the video at the recording time indicated by the recording time information; the viewing receiving module is used to receive the viewing operation by using the doctor equipment; the sending image module is used to respond to the viewing The operation is to display the display image on the doctor equipment.
  • the image determination module includes: a characteristic part unit, configured to generate characteristic part information of the target patient based on the disease information of the target patient, and the characteristic part information is used to indicate the The characteristic part of the target patient; the determining image unit is used to determine the display image of the target patient based on the video information when it is detected that the display content of the video information includes the characteristic part; the second prompting unit uses When it is detected that the display content of the video information does not include the feature part, generating second prompt information and sending it to the patient device, the second prompt information is used to prompt the target patient to re-record the video;
  • the image determination module further includes: a characteristic image unit, configured to obtain the characteristic image corresponding to the target patient from the video information based on the characteristic part information of the target patient; An image unit is configured to acquire a background image corresponding to the target patient; an image synthesis unit is configured to synthesize the feature image and the background image to generate a synthesized image as the display image.
  • the device further includes: a recording detection module, configured to detect whether the target patient records the video information within a first preset time range based on the time indication information; the third A prompt module, configured to generate third prompt information and send it to the doctor device and/or the patient device when the target patient has not recorded the video information within the first preset time range, the third prompt information
  • the prompt information is used to prompt the doctor and/or the target patient that the target patient has not recorded the video information within the first preset time range.
  • the device further includes: a model determination module, configured to determine an action recognition model corresponding to the target patient based on the disease information, and the action recognition model is used to identify the action corresponding to the image At least one of type, action frequency, and action range; a parameter information module, configured to use the action recognition model to identify the displayed image to obtain parameter information corresponding to the target patient, and the parameter information is used to indicate Action parameters and parameter values of the target patient; a parameter sending module, configured to send the parameter information to the doctor equipment.
  • a model determination module configured to determine an action recognition model corresponding to the target patient based on the disease information, and the action recognition model is used to identify the action corresponding to the image At least one of type, action frequency, and action range
  • a parameter information module configured to use the action recognition model to identify the displayed image to obtain parameter information corresponding to the target patient, and the parameter information is used to indicate Action parameters and parameter values of the target patient
  • a parameter sending module configured to send the parameter information to the doctor equipment.
  • the apparatus further includes: a time range module, configured to use the doctor equipment to receive a selection operation and generate time range information, where the time range information is used to indicate a second preset time range; A comparison information module, configured to generate comparison display information based on the time range information and parameter information, where the comparison display information is used to indicate the change trend of the parameter information within a second preset time range; sending a comparison module, for Send the comparison display information to the doctor equipment.
  • a time range module configured to use the doctor equipment to receive a selection operation and generate time range information, where the time range information is used to indicate a second preset time range
  • a comparison information module configured to generate comparison display information based on the time range information and parameter information, where the comparison display information is used to indicate the change trend of the parameter information within a second preset time range
  • sending a comparison module for Send the comparison display information to the doctor equipment.
  • the present application provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, any one of the above-mentioned chronic disease patient video The steps of the trace method.
  • the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of any one of the above-mentioned video tracing methods for patients with chronic diseases are implemented.
  • Fig. 1 is a schematic flow chart of a video tracing method for patients with chronic diseases provided in the embodiment of the present application;
  • Fig. 2 is a partial schematic flow chart of another video tracing method for patients with chronic diseases provided by the embodiment of the present application;
  • Fig. 3 is a schematic flow chart of determining a display image provided by an embodiment of the present application.
  • FIG. 4 is a schematic flow diagram of another method for determining a display image provided by an embodiment of the present application.
  • Fig. 5 is a schematic flow chart of another video tracing method for patients with chronic diseases provided by the embodiment of the present application.
  • Fig. 6 is a schematic flow chart of another video tracing method for patients with chronic diseases provided by the embodiment of the present application.
  • Fig. 7 is a schematic flow chart of another video tracing method for patients with chronic diseases provided by the embodiment of the present application.
  • Fig. 8 is a schematic structural diagram of a chronic disease patient video tracing device provided by the embodiment of the present application.
  • Fig. 9 is a partial structural schematic diagram of another video tracking device for patients with chronic diseases provided by the embodiment of the present application.
  • Fig. 10 is a schematic structural diagram of an image determination module provided by an embodiment of the present application.
  • Fig. 11 is a schematic structural diagram of another image determination module provided by an embodiment of the present application.
  • Fig. 12 is a partial structural schematic diagram of another video tracking device for patients with chronic diseases provided by the embodiment of the present application.
  • Fig. 13 is a partial structural schematic diagram of another video tracking device for patients with chronic diseases provided by the embodiment of the present application.
  • Fig. 14 is a partial structural schematic diagram of another video tracking device for patients with chronic diseases provided by the embodiment of the present application.
  • Fig. 15 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • Fig. 16 is a schematic structural diagram of a program product for realizing the video tracing method for patients with chronic diseases provided by the embodiment of the present application.
  • At least one means one or more, and “multiple” means two or more.
  • “And/or” describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural.
  • the character “/” generally indicates that the contextual objects are an “or” relationship.
  • “At least one of the following” or similar expressions refer to any combination of these items, including any combination of single or plural items.
  • At least one item (piece) of a, b or c can represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be It can be single or multiple. It should be noted that "at least one item (item)” can also be interpreted as “one item (item) or multiple items (item)”.
  • words such as “exemplary” or “for example” are used to mean an example, illustration or description. Any embodiment or design described herein as “exemplary” or “for example” is not to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as “exemplary” or “such as” is intended to present related concepts in a concrete manner.
  • An implantable neurostimulation system (an implantable medical system) mainly includes a stimulator implanted in the patient's body and a program-controlled device installed outside the patient's body.
  • the existing neuromodulation technology mainly uses stereotaxic surgery to implant electrodes in specific structures (i.e., targets) in the body, and the stimulator implanted in the patient sends electrical pulses to the targets through the electrodes to regulate the corresponding neural structures and networks. Electrical activity and its function, thereby improving symptoms and relieving pain.
  • the stimulator can be an implantable electrical nerve stimulation device, an implantable cardiac electrical stimulation system (also known as a cardiac pacemaker), an implantable drug infusion device (Implantable Drug Delivery System, referred to as IDDS) and a wire switch.
  • Implantable electrical nerve stimulation devices are, for example, Deep Brain Stimulation (DBS), Implantable Cortical Nerve Stimulation (CNS), Implantable Spinal Cord Stimulation , referred to as SCS), implanted sacral nerve stimulation system (Sacral Nerve Stimulation, referred to as SNS), implanted vagus nerve stimulation system (Vagus Nerve Stimulation, referred to as VNS), etc.
  • DBS Deep Brain Stimulation
  • CNS Implantable Cortical Nerve Stimulation
  • SCS Implantable Spinal Cord Stimulation
  • SNS implanted sacral nerve stimulation system
  • Vagus Nerve Stimulation referred to as VNS
  • the stimulator can include IPG, extension wires and electrode wires.
  • the IPG implantable pulse generator, implantable pulse generator
  • the IPG is set in the patient's body, receives the program control instructions sent by the program control device, and provides controllable stimulation to the tissues in the body relying on sealed batteries and circuits.
  • Electrical stimulation energy through implanted extension leads and electrode leads, delivers one or two controlled, specific electrical stimuli to specific areas of tissue in the body.
  • the extension lead is used in conjunction with the IPG as a transmission medium for the electrical stimulation signal, and transmits the electrical stimulation signal generated by the IPG to the electrode lead.
  • Electrode leads deliver electrical stimulation to specific areas of tissue in the body through multiple electrode contacts.
  • the stimulator is provided with one or more electrode wires on one side or both sides, and a plurality of electrode contacts are arranged on the electrode wires, and the electrode contacts can be arranged uniformly or non-uniformly in the circumferential direction of the electrode wires.
  • the electrode contacts may be arranged in an array of 4 rows and 3 columns (a total of 12 electrode contacts) in the circumferential direction of the electrode wire.
  • Electrode contacts may include stimulation electrode contacts and/or collection electrode contacts.
  • the electrode contacts can be in the shape of, for example, a sheet, a ring, or a dot.
  • the stimulated body tissue may be the patient's brain tissue, and the stimulated site may be a specific part of the brain tissue.
  • the stimulated site is generally different, the number of stimulation contacts used (single source or multi-source), one or more channels (single-channel or multi-channel) specific electrical stimulation signals
  • the application and stimulus parameter data are also different.
  • the embodiment of this application does not limit the applicable disease types, which may be applicable to deep brain stimulation (DBS), spinal cord stimulation (SCS), pelvic stimulation, gastric stimulation, peripheral nerve stimulation, and functional electrical stimulation.
  • DBS disorders that DBS can be used to treat or manage include, but are not limited to: spasticity disorders (e.g., epilepsy), pain, migraine, psychiatric disorders (e.g., major depressive disorder (MDD)), bipolar disorder, anxiety disorders, Post-traumatic stress disorder, hypodepression, obsessive-compulsive disorder (OCD), conduct disorder, mood disorder, memory disorder, mental status disorder, mobility disorder (eg, essential tremor or Parkinson's disease), Huntington's disease, Al Alzheimer's disease, drug addiction, autism, or other neurological or psychiatric conditions and impairments.
  • spasticity disorders e.g., epilepsy
  • pain migraine
  • psychiatric disorders e.g., major depressive disorder (MDD)
  • bipolar disorder e.g., anxiety disorders, Post-traumatic stress disorder, hypodepression, obsessive-compulsive disorder (OCD)
  • OCD obsessive-compulsive disorder
  • conduct disorder mood disorder
  • the program-controlled device when the program-controlled device and the stimulator establish a program-controlled connection, can be used to adjust the stimulation parameters of the stimulator (different stimulation parameters correspond to different electrical stimulation signals), and the stimulator can also be used to sense the deep brain of the patient.
  • the bioelectric activity of the stimulator can be used to collect the electrophysiological signal, and the stimulation parameters of the electrical stimulation signal of the stimulator can be adjusted continuously through the collected electrophysiological signal.
  • Stimulation parameters can include at least one of the following: frequency (for example, the number of electrical stimulation pulse signals per unit time 1s, the unit is Hz), pulse width (the duration of each pulse, the unit is ⁇ s), amplitude (generally used Voltage expression, that is, the intensity of each pulse, the unit is V), timing (for example, it can be continuous or triggered), stimulation mode (including one or more of current mode, voltage mode, timed stimulation mode and cycle stimulation mode) , The upper and lower limits of the doctor's control (the range that can be adjusted by the doctor) and the upper and lower limits of the patient's control (the range that can be adjusted by the patient).
  • frequency for example, the number of electrical stimulation pulse signals per unit time 1s, the unit is Hz
  • pulse width the duration of each pulse, the unit is ⁇ s
  • amplitude generally used Voltage expression, that is, the intensity of each pulse, the unit is V
  • timing for example, it can be continuous or triggered
  • stimulation mode including one or more of current mode, voltage mode, time
  • various stimulation parameters of the stimulator can be adjusted in current mode or voltage mode.
  • the program-controlled device may be a doctor-programmed device (ie, a program-controlled device used by a doctor) or a patient-programmed device (ie, a program-controlled device used by a patient).
  • the doctor's program-controlled device can be, for example, a tablet computer, a notebook computer, a desktop computer, a mobile phone and other smart terminal devices equipped with program-controlled software.
  • the patient program-controlled device can be, for example, smart terminal devices such as tablet computers, notebook computers, desktop computers, and mobile phones equipped with program-controlled software, and the patient program-controlled device can also be other electronic devices with program-controlled functions (such as chargers with program-controlled functions, data collection device).
  • the embodiment of the present application does not limit the data interaction between the doctor's program-controlled device and the stimulator.
  • the doctor's program-controlled device can perform data interaction with the stimulator through the server and the patient's program-controlled device.
  • the doctor performs program control with the patient face-to-face offline the doctor's program-controlled device can interact with the stimulator through the patient's program-controlled device, and the doctor's program-controlled device can also directly interact with the stimulator.
  • the patient programmable device may include a host (communicating with the server) and a slave (communicating with the stimulator), the host and slave being communicatively connected.
  • the doctor's program-controlled equipment can exchange data with the server through the 3G/4G/5G network
  • the server can exchange data with the host through the 3G/4G/5G network
  • the host can exchange data with the slave through the Bluetooth protocol/WIFI protocol/USB protocol.
  • the sub-machine can exchange data with the stimulator through the 401MHz-406MHz working frequency band/2.4GHz-2.48GHz working frequency band, and the doctor's program-controlled equipment can directly exchange data with the stimulator through the 401MHz-406MHz working frequency band/2.4GHz-2.48GHz working frequency band interact.
  • the embodiments of the present application may also be applied to other technical fields of medical devices or even non-medical devices, and the embodiments of the present application are not limited thereto.
  • the above technology can be applied in the field of chronic disease treatment, that is to say, the above implantable medical device can be used when treating patients suffering from chronic diseases.
  • chronic diseases can be chronic nervous system diseases, such as Parkinson's, epilepsy, neurasthenia, etc., or chronic cardiovascular and cerebrovascular diseases, such as palpitations, chest tightness, hemiplegia, nystagmus, etc., or chronic psychological diseases, such as depression , obsessive-compulsive disorder, tension pain, etc., can also be chronic endocrine system diseases, such as hyperthyroidism.
  • Video traceability means that doctors can view historical videos recorded by patients with chronic diseases, which is convenient for doctors to judge the disease progress of patients with chronic diseases based on their own medical knowledge.
  • Step S101 Based on the disease information of the target patient, generate time indication information, the disease information is used to indicate the chronic disease type of the target patient.
  • the method of obtaining the disease information of the target patient may include obtaining from a storage device, or manually entering by a staff member.
  • the disease information of the target patient such as "Zhang San, Parkinson's" or "Li Si, obsessive-compulsive disorder” may also be table information, for example, a table that may include the names of multiple patients and their disease types.
  • the time indication information may be a specific time, such as 8:00 am every day, or a specific time period, such as 6:00 pm to 9:00 pm every Monday, Wednesday, and Friday.
  • Step S102 Based on the time indication information, send recording prompt information to the patient device corresponding to the target patient, so that the target patient can receive the recording prompt information, the recording prompt information is used to indicate the target patient The patient records a video.
  • the recording prompt information can be text information, voice information, or a combination of text information and voice information; for example, send a text message "Please record video at 8 o'clock" to the patient's device, and play it at the same time Voice "Please Zhang San to record the video at 8 o'clock";
  • the patient's device can be the patient's mobile phone, tablet computer, personal desktop computer, notebook computer, electronic equipment dedicated to telemedicine, etc.
  • any information transmission, image Equipment with acquisition and image transmission functions can be used as patient equipment.
  • Step S103 receiving video information and recording time information sent by the patient device, and determining a display image of the target patient based on the video information.
  • the recording time information is used to indicate the recording time of the target patient, which may include the time when the target patient starts recording and the duration of the target patient's recording, or the time when the target patient starts recording and the time when the target patient ends recording.
  • Step S104 storing the display image and the recording time information in a storage device.
  • the storage device may be a storage device in a patient device, a storage device in a cloud server, a storage device in a doctor's device, or a third-party storage device.
  • any And the device for storing the recording time information can be used as a storage device.
  • time indication information is generated according to the disease information of the target patient, and then the patient is instructed to record according to the time indication information, and the video information and recording time information recorded by the target patient are received, so as to determine the display image of the target patient and display the image Stored together with the recording time information; doctors can easily use the stored display images and recording time information to trace the chronic disease condition of the target patient, without regular real-time communication with the target patient; generate time indication information based on the target patient's disease information, Different time indication information can be generated according to different patient types, expanding the application range for different patient types.
  • the target patient Zhang San is a long-term Parkinson's patient.
  • the reference information is often obtained by observing the frequency and accuracy of the patient's finger-to-finger movements.
  • Zhang San uses the reference information combined with the doctor's own judgment to clarify the patient's condition; but because Zhang San moves slowly, it is inconvenient to go to and from the hospital frequently, so the chronic disease patient video tracing method provided by this application is used to generate time indication information based on Zhang San's disease information : "Record video at 10 am every day", and send a recording prompt message to Zhang San's corresponding telemedicine terminal, Zhang San records the video of the finger pointing on time, determines the video as the display image, and stores it together with the recording time information to the storage device in the cloud server.
  • the doctor needs to check Zhang San's condition, he can obtain the video and recording time information corresponding to Zhang San from the storage device in the cloud server through various means.
  • the method may further include steps S105-S107.
  • Step S105 Based on the displayed image and the recording time information, generate first prompt information and send it to the doctor device, the first prompt information is used to indicate that the target patient is at the recording time indicated by the recording time information Video recorded.
  • Step S106 Use the doctor equipment to receive a viewing operation.
  • Step S107 display the display image on the doctor equipment in response to the viewing operation.
  • the doctor's equipment may be a doctor's mobile phone, a doctor's tablet computer, a doctor's work computer, a doctor's dedicated remote communication device, and the like.
  • the first prompt information is generated and sent to the doctor's device to remind the doctor that the target patient has been recorded, and the display image is sent to the doctor's device after receiving the viewing operation; the first prompt information can promptly remind the doctor to check the display image in time to avoid delays For the condition, after receiving the viewing operation, the display image is sent to the doctor's device, which can avoid the network traffic peak caused by a large number of patients recording video information at the same time, and make the transmission of video information smoother.
  • the step S103 may include steps S201-S203.
  • Step S201 Based on the disease information of the target patient, generate characteristic part information of the target patient, where the characteristic part information is used to indicate the characteristic part of the target patient.
  • Step S202 When it is detected that the display content of the video information includes the characteristic part, determine the display image of the target patient based on the video information.
  • Step S203 When it is detected that the display content of the video information does not include the feature part, generate second prompt information and send it to the patient device, the second prompt information is used to prompt the target patient to re-record the video .
  • the target patient is prompted to re-record until the display content of the video information includes the characteristic parts corresponding to the target patient's disease information , avoiding the storage of invalid video information caused by the wrong operation of the target patient, and improving the operational efficiency of video tracing of patients with chronic diseases.
  • the patient Li Si is a patient with hyperthyroidism.
  • the patient device of the patient Li Si reminds Li Si to record a motion video of closing his eyes and raising his hand every 12 hours to generate information about Li Si's characteristic parts , indicating that its characteristic parts are hands. Due to the deviation of the camera of the patient's equipment, Li Si's hands were not recorded in the video information. Therefore, Li Si was reminded to re-record the video information until the displayed content of the video information included Li Si's hands.
  • the step S103 may further include steps S301-S303.
  • Step S301 Based on the characteristic part information of the target patient, obtain the characteristic image corresponding to the target patient from the video information.
  • Step S302 acquiring the background image corresponding to the target patient.
  • Step S303 Synthesizing the feature image and the background image to generate a composite image as the display image.
  • the patient Li Si is a patient with hyperthyroidism.
  • the patient device of the patient Li Si reminds Li Si to record an action video of closing his eyes and raising his hands every 12 hours, and intercepts the image of the patient Li Si's hands
  • a solid-color image is used as a background image to synthesize Li Si's hands.
  • Other images leaked Li Si's privacy.
  • the method may further include steps S108-S109.
  • Step S108 Based on the time indication information, detect whether the target patient recorded the video information within a first preset time range.
  • Step S109 When the target patient does not record the video information within the first preset time range, generate third prompt information and send it to the doctor device and/or the patient device, the third prompt information It is used to prompt the doctor and/or the target patient that the target patient has not recorded the video information within the first preset time range.
  • the first preset time range can be set according to the time indicated in the time indication information, and the time indicated by the time indication information is 8:00-9:00 am, then the first preset time range can be set as morning 7:50-9:10; or, if the time indicated by the time indication information is 10:00 am, the first preset time range may be set as 9:55-10:05 am.
  • the target patient has recorded video information within the first preset time range, and when the video information is not recorded within the first preset time range, the target patient and/or doctor will be prompted, so as to reduce the possibility of the target patient not being present due to negligence and other reasons. Disease delay caused by recording video information within the first preset time range.
  • patient Li Si did not record video information within the first preset time range.
  • a prompt message "Patient Li Si did not record video within the first preset time range" was sent to the patient device and the doctor The device enabled the doctor to know in time that Li Si did not record the video within the first preset time range.
  • the doctor communicated with Li Si by phone and learned that the battery of Li Si’s patient’s device was exhausted. The doctor urged Li Si to charge it in time and supplement the recorded video. It avoided Li Si's failure to record the video in time, which caused delays in his illness.
  • the method may further include steps S110-S112.
  • Step S110 Based on the disease information, determine an action recognition model corresponding to the target patient, and the action recognition model is used to identify at least one of the action type, action frequency, and action range corresponding to the image.
  • Step S111 Using the motion recognition model to recognize the displayed image to obtain parameter information corresponding to the target patient, the parameter information is used to indicate the target patient's motion parameters and their parameter values.
  • Step S112 Send the parameter information to the doctor equipment.
  • the action recognition model to identify the parameter information of the target patient and sending the parameter information to the doctor's device can provide quantified reference information for the doctor, which is convenient for the doctor to refer to the parameter information.
  • the target patient's make judgments on the development of the disease; according to different patient types, different action recognition models can be determined, which expands the scope of application of the action recognition model in the video traceability method for patients with chronic diseases.
  • the patient Li Si is a patient with hyperthyroidism. It is determined that the action recognition model corresponding to Li Si is a finger shaking action recognition model, and the frequency of Li Si’s finger shaking is recognized by this model as a characteristic parameter, and sent to the doctor’s equipment. It is very convenient to know the frequency of Li Si's finger shaking without manual counting, which is convenient for doctors to judge Li Si's condition based on the reference information of Li Si's finger shaking frequency and their own medical knowledge; when the patient is Parkinson's At Zhang Sanshi, it can be determined that the action recognition model corresponding to Zhang San is a finger-to-finger action recognition model, which expands the scope of application for different types of patients.
  • the method may further include steps S113-S115.
  • Step S113 Utilize the doctor equipment to receive a selection operation and generate time range information, where the time range information is used to indicate a second preset time range.
  • Step S114 Based on the time range information and the parameter information, generate comparative display information, the comparative display information is used to indicate a change trend of the parameter information within a second preset time range.
  • the second preset time range can be a period of time, such as within the past month, or at least two time ranges, such as April and May;
  • the comparison display information can be parameter information in the second preset
  • the change trend graph within the time range may also be a table including specific multiple time points within the second preset time range and their corresponding parameter information, or it may be the comparison information of parameter information within two time ranges , such as the comparative information of parameter information in April and May.
  • Step S115 Send the comparison display information to the doctor equipment.
  • the selection operation is received, and the time range is determined accordingly, and the parameter information corresponding to the time range is used to generate comparative display information indicating the change trend of the parameter information within the time range, and sent to the doctor's device, which can provide doctors with quantitative information.
  • the change trend is used as reference information, which further facilitates doctors to make judgments on the disease development of the target patient based on the change trend as reference information and combined with their own professional knowledge.
  • the patient Li Si is a patient with hyperthyroidism. It is determined that the recognition model corresponding to Li Si is the finger shake recognition model, and the time range of the last month is selected to generate a graph of the change trend of Li Si's finger shaking frequency within this time range. , sent to the doctor's device, so that the doctor can intuitively understand the change of Li Si's finger shaking frequency in the past month, and make a judgment on Li Si's condition based on his own medical knowledge.
  • the doctor can choose April and May as the second preset time range.
  • a comparison chart of Li Si's finger shaking frequency in April and May is generated, which is convenient for the doctor to intuitively understand Li Si's time range. Changes in finger shaking frequency from April to May.
  • the embodiment of the present application also provides a chronic disease patient video tracking device, which may include: a time generation module 101, configured to generate time indication information based on the disease information of the target patient, and the disease information is used to indicate The chronic disease type of the target patient; the recording reminder module 102, configured to send recording reminder information to the patient device corresponding to the target patient based on the time indication information, so that the target patient can receive the recording reminder information , the recording prompt information is used to instruct the target patient to record a video; the image determination module 103 is configured to receive the video information and recording time information sent by the patient device, and determine the target patient’s image based on the video information display image; an information storage module 104, configured to store the display image and the recording time information in a storage device. Its specific implementation mode is consistent with the implementation mode and achieved technical effect described in the above-mentioned embodiment of the model training method, and part of the content will not be repeated.
  • the apparatus may further include: a first prompt module 105, configured to generate first prompt information based on the display image and the recording time information and send it to the doctor equipment, so The first prompt information is used to indicate that the target patient has recorded video at the recording time indicated by the recording time information; the viewing receiving module 106 is used to receive the viewing operation by using the doctor equipment; the sending image module 107 is used to In response to the viewing operation, the display image is displayed on the physician device.
  • a first prompt module 105 configured to generate first prompt information based on the display image and the recording time information and send it to the doctor equipment, so The first prompt information is used to indicate that the target patient has recorded video at the recording time indicated by the recording time information
  • the viewing receiving module 106 is used to receive the viewing operation by using the doctor equipment
  • the sending image module 107 is used to In response to the viewing operation, the display image is displayed on the physician device.
  • the image determination module 103 may include: a feature part unit 201, configured to generate feature part information of the target patient based on the disease information of the target patient, the feature part The information is used to indicate the characteristic parts of the target patient; the determining image unit 202 is configured to determine the display image of the target patient based on the video information when it is detected that the display content of the video information includes the characteristic parts; The second prompting unit 203 is configured to generate second prompting information and send it to the patient device when it is detected that the display content of the video information does not include the feature part, the second prompting information is used to prompt the The target patient re-records the video.
  • a feature part unit 201 configured to generate feature part information of the target patient based on the disease information of the target patient, the feature part The information is used to indicate the characteristic parts of the target patient
  • the determining image unit 202 is configured to determine the display image of the target patient based on the video information when it is detected that the display content of the video information includes the characteristic parts
  • the image determination module 103 may further include: a characteristic image unit 301 , configured to acquire the corresponding image of the target patient from the video information based on the characteristic part information of the target patient.
  • the characteristic image of the target patient The characteristic image of the target patient; the background image unit 302 is used to obtain the background image corresponding to the target patient; the image synthesis unit 303 is used to synthesize the characteristic image and the background image to generate a composite image as the display image.
  • the device may further include: a recording detection module 108, configured to detect whether the target patient recorded the video within the first preset time range based on the time indication information information; a third prompting module 109, configured to generate third prompting information and send it to the doctor device and/or the patient device when the target patient does not record the video information within the first preset time range, The third prompt information is used to remind the doctor and/or the target patient that the target patient has not recorded the video information within the first preset time range.
  • a recording detection module 108 configured to detect whether the target patient recorded the video within the first preset time range based on the time indication information information
  • a third prompting module 109 configured to generate third prompting information and send it to the doctor device and/or the patient device when the target patient does not record the video information within the first preset time range, The third prompt information is used to remind the doctor and/or the target patient that the target patient has not recorded the video information within the first preset time range.
  • the device may further include: a model determination module 110, configured to determine an action recognition model corresponding to the target patient based on the disease information, and the action recognition model is used to identify At least one of the action type, action frequency, and action range corresponding to the image; the parameter information module 111 is configured to use the action recognition model to identify the displayed image and obtain the parameter information corresponding to the target patient.
  • the parameter information is used to indicate the target patient's action parameters and their parameter values;
  • the parameter sending module 112 is used to send the parameter information to the doctor equipment.
  • the apparatus may further include: a time range module 113, configured to use the doctor equipment to receive a selection operation and generate time range information, where the time range information is used to indicate that the second forecast Set the time range; the comparison information module 114 is used to generate comparison display information based on the time range information and parameter information, and the comparison display information is used to indicate the change trend of the parameter information within the second preset time range; send A comparison module 115, configured to send the comparison display information to the doctor equipment.
  • a time range module 113 configured to use the doctor equipment to receive a selection operation and generate time range information, where the time range information is used to indicate that the second forecast Set the time range
  • the comparison information module 114 is used to generate comparison display information based on the time range information and parameter information, and the comparison display information is used to indicate the change trend of the parameter information within the second preset time range
  • send A comparison module 115 configured to send the comparison display information to the doctor equipment.
  • the embodiment of the present application also provides an electronic device 200 , which may include at least one storage device 210 , at least one processor 220 and a bus 230 connecting different platform systems.
  • the storage device 210 may include a readable medium in the form of a volatile storage device, such as a random access storage device (RAM) 211 and/or a cache storage device 212 , and may further include a read-only storage device (ROM) 213 .
  • RAM random access storage device
  • ROM read-only storage device
  • the storage device 210 also stores a computer program, and the computer program can be executed by the processor 220, so that the processor 220 executes the steps of the chronic disease patient video tracing method provided by the embodiment of the present application. Its specific implementation method is consistent with the implementation method and achieved technical effect described in the above-mentioned embodiment of the video tracing method for patients with chronic diseases, and part of the content will not be repeated.
  • Storage device 210 may also include utility 214 having at least one program module 215, such program module 215 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, examples of each Or some combination may include the realization of the network environment.
  • program module 215 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, examples of each Or some combination may include the realization of the network environment.
  • the processor 220 can execute the above-mentioned computer program, and can execute the utility tool 214 .
  • Bus 230 may be representative of one or more of several types of bus structures, including a storage device bus or storage device controller, a peripheral bus, an accelerated graphics port, a processor, or a local area using any of a variety of bus structures. bus.
  • the electronic device 200 can also communicate with one or more external devices 240 such as keyboards, pointing devices, Bluetooth devices, etc., and can also communicate with one or more devices capable of interacting with the electronic device 200, and/or communicate with the electronic device 200 is capable of communicating with any device (eg, router, modem, etc.) that communicates with one or more other computing devices. Such communication may occur through input-output interface 250 .
  • the electronic device 200 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and/or a public network such as the Internet) through the network adapter 260 .
  • the network adapter 260 can communicate with other modules of the electronic device 200 through the bus 230 . It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with electronic device 200, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives And data backup storage platform, etc.
  • the embodiment of the present application also provides a computer-readable storage medium, which is used to store a computer program.
  • the steps of the video tracing method for patients with chronic diseases in the embodiment of the present application are implemented.
  • the implementation mode is consistent with the implementation mode and the achieved technical effect described in the above-mentioned embodiment of the video tracing method for patients with chronic diseases, and part of the content will not be repeated.
  • Fig. 16 shows the program product 300 provided by this embodiment for realizing the video tracing method for patients with chronic diseases mentioned above, which can adopt a portable compact disk read-only storage device (CD-ROM) and include program codes, and can be installed on the terminal equipment, For example running on a personal computer.
  • the program product 300 of the present application is not limited thereto.
  • the readable storage medium may be any tangible medium containing or storing a program, and the program may be used by or in combination with an instruction execution system, device or device.
  • Program product 300 may utilize any combination of one or more readable media.
  • the readable medium may be a readable signal medium or a readable storage medium.
  • the readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), Erasable Programmable Read Only Memory (EPROM or Flash), fiber optics, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.
  • RAM random access memory
  • ROM read only memory
  • EPROM or Flash Erasable Programmable Read Only Memory
  • CD-ROM compact disk read only memory
  • optical storage devices magnetic storage devices, or any suitable combination of the above.
  • a computer readable storage medium may include a data signal carrying readable program code in baseband or as part of a carrier wave traveling as part of a data signal. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a readable storage medium may also be any readable medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
  • the program code contained on the readable storage medium can be transmitted by any appropriate medium, including but not limited to wireless, cable, optical cable, RF, etc., or any suitable combination of the above.
  • the program code for performing the operation of the present application can be written in any combination of one or more programming languages, and the programming language includes object-oriented programming languages such as Java, C++, etc., and can also include conventional procedural programming A language such as C or a similar programming language.
  • the program code may execute entirely on the user's computing device, partly on an associated device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server to execute.
  • the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., using an Internet service provider). business to connect via the Internet).
  • LAN local area network
  • WAN wide area network
  • Internet service provider e.g., a wide area network

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Abstract

La présente demande concerne un procédé et un appareil de traçage vidéo pour un patient atteint d'une maladie chronique, ainsi qu'un dispositif électronique et un support de stockage lisible. Le procédé consiste à : générer des informations d'indication de temps d'après les informations de maladie d'un patient cible ; envoyer, d'après les informations d'indication de temps, des informations d'invite d'enregistrement à un dispositif patient correspondant au patient cible, de façon à ce que le patient cible puisse recevoir les informations d'invite d'enregistrement ; recevoir des informations vidéo et des informations de temps d'enregistrement envoyées par le dispositif patient, puis déterminer une image d'affichage du patient cible d'après les informations vidéo ; et stocker l'image d'affichage et les informations de temps d'enregistrement dans un dispositif de stockage. Un médecin peut facilement suivre les conditions de maladie chronique du patient cible à l'aide de l'image d'affichage stockée et des informations de temps d'enregistrement, sans communiquer régulièrement avec le patient cible en temps réel, et le patient n'a pas besoin de se rendre régulièrement à l'hôpital ; de plus, la commodité est fournie aux médecins et aux patients, et la plage d'application pour différents types de patients est étendue.
PCT/CN2022/110915 2021-08-26 2022-08-08 Procédé de traçage vidéo pour patient atteint d'une maladie chronique et appareil associé WO2023024881A1 (fr)

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