WO2024021959A1 - 程控装置、医疗系统及计算机可读存储介质 - Google Patents

程控装置、医疗系统及计算机可读存储介质 Download PDF

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Publication number
WO2024021959A1
WO2024021959A1 PCT/CN2023/102693 CN2023102693W WO2024021959A1 WO 2024021959 A1 WO2024021959 A1 WO 2024021959A1 CN 2023102693 W CN2023102693 W CN 2023102693W WO 2024021959 A1 WO2024021959 A1 WO 2024021959A1
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WO
WIPO (PCT)
Prior art keywords
program
patient
stimulator
data
identification information
Prior art date
Application number
PCT/CN2023/102693
Other languages
English (en)
French (fr)
Inventor
王倩
周国新
Original Assignee
景昱医疗科技（苏州）股份有限公司
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Publication of WO2024021959A1 publication Critical patent/WO2024021959A1/zh

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/372—Arrangements in connection with the implantation of stimulators
    • A61N1/37211—Means for communicating with stimulators
    • A61N1/37217—Means for communicating with stimulators characterised by the communication link, e.g. acoustic or tactile
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/372—Arrangements in connection with the implantation of stimulators
    • A61N1/37211—Means for communicating with stimulators
    • A61N1/37235—Aspects of the external programmer
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/372—Arrangements in connection with the implantation of stimulators
    • A61N1/37211—Means for communicating with stimulators
    • A61N1/37252—Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data
    • A61N1/37282—Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data characterised by communication with experts in remote locations using a network

Definitions

  • This application relates to the technical field of implantable medical equipment, such as program-controlled devices, medical systems and computer-readable storage media.
  • doctors establish a program-controlled connection with the stimulator on the patient side through a program-controlled device.
  • the doctor reads the configuration information of the stimulator through the program-controlled device to adjust the parameters of the stimulator.
  • CN102441230A discloses a doctor program controller with a security and confidentiality function.
  • the microprocessor system module When the user is an authorized user set by the doctor program controller, multiple functional modules connected to the microprocessor system module are in normal working condition; When the microprocessor system module determines that the user is not an authorized user set by the doctor's program controller, the microprocessor system module issues a command to prohibit the use of the doctor's program controller, thus preventing people other than the authorized users set by the doctor's program controller from using it.
  • the doctor's programmer remotely adjusts the pulse generator implanted in the patient.
  • the doctor programmer can adjust the stimulation parameters of any stimulator. If identity authentication is also performed on the patient side, it will inevitably increase the energy consumption on the patient side, cause the implanted device to heat up, and reduce the safety of the patient side.
  • This application provides a programmable device, a medical system and a computer-readable storage medium, and certifies the programmable device and stimulator respectively, fully taking into account the safety of the doctor's side and the patient's side.
  • this application provides a program-controlled device.
  • the program-controlled device is provided on the doctor's side.
  • the program-controlled device includes a processor, and the processor is configured to:
  • a programmed connection between the programming device and the stimulator is established to utilize the stimulator to deliver electrical stimulation to the patient or to sense the patient electrophysiological activity.
  • this application also provides a medical system, including: the program-controlled device described in any embodiment of the first aspect, where the program-controlled device is provided on the doctor's side;
  • a patient device configured to generate a patient programming request to establish a programming connection between the programming device and the stimulator.
  • this application also provides a computer-readable storage medium that stores a computer program.
  • the computer program When the computer program is executed by a processor, it implements the functions of the program-controlled device in the first aspect. .
  • Figure 1 is a schematic flow chart of a program control method provided by an embodiment of the present application.
  • FIG. 2 is a partial flow diagram of another program control method provided by an embodiment of the present application.
  • FIG. 3 is a partial flow diagram of another program control method provided by an embodiment of the present application.
  • Figure 4 is a schematic flow chart of program-controlled device authentication provided by an embodiment of the present application.
  • Figure 5 is a schematic flow chart of another program-controlled device authentication provided by an embodiment of the present application.
  • Figure 6 is a schematic flow chart of a stimulator authentication provided by an embodiment of the present application.
  • Figure 7 is a schematic structural diagram of a medical system provided by an embodiment of the present application.
  • Figure 8 is a schematic flow chart for generating a patient program control request provided by an embodiment of the present application.
  • Figure 9 is a schematic structural diagram of a computer-readable storage medium provided by an embodiment of the present application.
  • the stimulator may be a type of implantable medical device, and the implantable medical device may be an implanted neural Any of electrical stimulation devices, implantable cardiac electrical stimulation systems (also known as pacemakers), implantable drug delivery devices (Implantable Drug Delivery System, IDDS) and lead adapter devices.
  • Implantable neuroelectric stimulation devices include, for example, Deep Brain Stimulation (DBS) systems, also known as deep brain stimulators, implantable Cortical Nerve Stimulation (CNS) systems, and implantable spinal cord electrical stimulation.
  • DBS Deep Brain Stimulation
  • CNS Cortical Nerve Stimulation
  • the stimulated biological tissue can be the patient's brain tissue, and the stimulated part can be a specific part of the brain tissue. When the patient's disease type is different, the stimulated part is generally different.
  • DBS can be used Types of conditions used to treat or manage include: seizure disorders (e.g., epilepsy), pain, migraine, psychiatric disorders (e.g., major depressive disorder (MDD)), bipolar disorder, anxiety disorders, post-traumatic stress disorders, mild depression, obsessive compulsive disorder (OCD), behavioral disorders, mood disorders, memory disorders, mental status disorders, mobility disorders (e.g., essential tremor or Parkinson's disease), Huntington's disease, Alzheimer's disease Alzheimer's disease, substance addiction, autism, or other neurological or psychiatric diseases and impairments.
  • seizure disorders e.g., epilepsy
  • DMDD major depressive disorder
  • bipolar disorder e.g., anxiety disorders, post-traumatic stress disorders, mild depression, obsessive compulsive disorder (OCD)
  • OCD obsessive compulsive disorder
  • behavioral disorders e.g., mood disorders, memory disorders, mental status disorders, mobility disorders (e.g., essential
  • the stimulator implanted in the patient's body can be programmed through the program-controlled device.
  • the doctor can adjust the parameters of the stimulator's electrical stimulation signal, and can also use the stimulator to sense the electrical activity in the deep brain of the patient. , and can use the sensed electrical activity to guide the doctor to continue to adjust the parameters of the electrical stimulation signal of the stimulator.
  • the parameters of the electrical stimulation signal can be frequency (number of pulses per unit time 1s, unit is Hz), pulse width (duration of each pulse, unit is ⁇ s), and amplitude (generally expressed in voltage, that is, each The intensity of the pulse, the unit is any of V).
  • the parameters of the Implantable Pulse Generator (IPG) can be adjusted in current mode or voltage mode.
  • This application does not limit the data interaction method between the program-controlled device and the stimulator.
  • the implementation of data interaction between the program-controlled device and the stimulator may be: the program-controlled device interacts with the stimulator through the 401MHz-406MHz operating frequency band or the 2.4GHz-2.48GHz operating frequency band.
  • the data interaction between the program-controlled device and the stimulator can also be implemented as follows: the program-controlled device interacts with the transit gateway through the third-generation mobile communication technology (3rd-Generation, 3G)/4G/5G network, and the transit gateway interacts with the transit gateway through the 3G/4G/
  • the 5G network interacts with the patient device, and the patient device interacts with the stimulator through the 401MHz-406MHz operating frequency band or the 2.4GHz-2.48GHz operating frequency band.
  • the data interaction between the program-controlled device and the stimulator can also be realized by: the program-controlled device interacts with the patient device through the 3G/4G/5G network, and the patient device interacts with the stimulator through the 401MHz-406MHz operating frequency band or the 2.4GHz-2.48GHz operating frequency band. Perform data interaction.
  • the above connection methods can realize data exchange between the program-controlled device and the stimulator. mutual. This application does not limit the patient device, and the patient device may be a patient programmer.
  • Figure 1 is a schematic flow chart of a program control method provided by an embodiment of the present application.
  • the program control method includes steps S101 to S103.
  • Step S101 Obtain the first identification information of the program-controlled device, and authenticate the program-controlled device based on the first identification information.
  • Step S102 Obtain second identification information of the stimulator, and authenticate the stimulator based on the second identification information.
  • the stimulator is implanted in the patient's body.
  • Step S103 When both the program-controlled device and the stimulator pass authentication, establish a program-controlled connection between the program-controlled device and the stimulator to use the stimulator to deliver electrical stimulation or sensing to the patient. electrophysiological activity of the patient.
  • the program-controlled device is arranged on the doctor's side, and obtains the first identification information and the second identification information through the program-controlled device, and realizes the authentication of the program-controlled device and the stimulator respectively based on the first identification information and the second identification information.
  • the authentication indicates the legitimacy of the program-controlled device (doctor side); obtain the second identification information of the stimulator to authenticate the stimulator.
  • the authentication Indicates the legality of the stimulator (patient side). Only when the above two authentications are passed, the program-controlled connection between the program-controlled device (doctor's side) and the stimulator (patient's side) will be established.
  • the second identification information of the stimulator is obtained and authenticated through the program-controlled device. Since the stimulator is implanted in the patient's body, the increase in power consumption of the stimulator caused by the authentication operation process can be avoided, and the power consumption caused by the high power consumption of the stimulator can be reduced. fever and other conditions, and then authenticate the stimulator and improve the safety of the stimulator without increasing the power consumption of the stimulator.
  • the certification process of the program-controlled device and the stimulator is carried out separately.
  • the progress of one party's certification does not affect the progress of the other party's certification, avoiding the situation of untimely data processing.
  • Separate authentication can make full use of the performance of the program-controlled device to achieve the effect of performance superposition on the hardware, improve the response speed of authentication, thereby shortening the speed of program-controlled connection between the program-controlled device and the stimulator, and avoiding program-controlled connections caused by untimely data processing. Delay issues create a poor treatment experience for patients.
  • the program control method provided by this application obtains the first identification information and the second identification information, and authenticates the program control device and the stimulator respectively, which can avoid a bad treatment experience for the patient due to untimely data processing, and has the advantages Higher safety; simultaneous authentication of both the patient and the doctor is carried out through the doctor's unilateral program-controlled device, which reduces the increase in power consumption of the patient-side equipment and causes the implanted equipment to heat up, and improves the safety of the patient-side.
  • doctor A and patient B need to establish a program-controlled connection, obtain the first identification information "Doctor A, 012222" of the program-controlled device on the doctor's side, and obtain the second identification information "patient” of patient B through the stimulator on the patient side. B,A-1330".
  • the program-controlled device on the doctor's side authenticates the program-controlled device based on the obtained first identification information to learn that doctor A is qualified for program-controlled connection.
  • the program control device on the doctor's side authenticates the stimulator (patient B) based on the second identification information to learn that the stimulator of patient B can be connected programmatically.
  • the patient device in this application does not have identity authentication set up. Authentication of patients or doctors is performed in program-controlled devices. Therefore, the patient and doctor are authenticated through the program-controlled device on the doctor's side, so that the patient-side device only collects identification information, avoiding power consumption in the authentication process, thereby improving the safety of the patient-side equipment.
  • the first identification information may include one or more of Chinese, English, numbers, symbols and special symbols. For example, it may be the doctor number of the doctor who logs in to the program-controlled device, the code of the practicing physician qualification certificate, the code of the department, etc. . For example, "Dr. Zhang, 013331", “013331-A”, “Dr. Wang, 013331-A, Department of Surgery", etc.
  • the second identification information may include one or more of Chinese, English, numbers, symbols and special symbols, for example, it may be the patient number of the stimulator, the stimulator number, the doctor corresponding to the stimulator, etc. For example, “Patient Zhang San, A-3331”, “Patient Zhang San, 0131@1, Dr. Wang”, “013@&331-A”, etc.
  • step S101 may include:
  • Receive a program-controlled connection operation and obtain the first identification information in response to the program-controlled connection operation; or, use the program-controlled device to receive a patient programming request sent by a patient device, and obtain the program-controlled device in response to the patient programming request.
  • the first identification information
  • the doctor can actively send a doctor program control request including the first identification information to the program control device.
  • the authentication of the program control device does not require the patient's operation, which reduces the patient's learning cost; the patient can actively send a patient program control request to the program control device through the patient device, and the doctor can receive and Respond to the patient's program control request and send the doctor's program control request to the program control device to meet the patient's program control needs.
  • the certification of program-controlled devices takes into account both the doctor's program control requirements and the patient's program control requirements. Compared with the certification that is limited to the doctor's unilateral needs, The current program-controlled device certification considers the needs of both doctors and patients and promotes a harmonious relationship between doctors and patients.
  • Wang Wu who suffers from migraine is a patient of Dr. Zhang, and Dr. Zhang needs to know the electrophysiological activity sensed by the stimulator when Wang Wu has an attack.
  • Wang Wu sends the patient's program control request through the patient's device.
  • Dr. Zhang's program control device can immediately perform bilateral authentication of Dr. Zhang and Wang Wu.
  • the first identification information authenticates Dr. Zhang's operating authority, and at the same time obtains the second identification information of the stimulator to authenticate whether Dr. Zhang has the authority to treat Wang Wu.
  • the above-mentioned certification takes into account the needs of patients. Since patients know their own physical condition best, it improves patient participation and thus improves the quality of doctors' treatment of patients.
  • Wang Liu who suffers from epilepsy, is a patient of Dr. Zhang.
  • Dr. Zhang needs to know the electrophysiological activity sensed by the stimulator when Wang Liu becomes ill.
  • Wang Liu's limbs twitched involuntarily Wang Liu's family called Dr. Zhang for help.
  • Dr. Zhang could perform a program-controlled connection operation and authenticate the program-controlled device based on the first identification information.
  • the second identification information of the stimulator is obtained to authenticate the stimulator.
  • the certification process of the above-mentioned program-controlled device also takes into account the needs of patients with different diseases. By controlling the certification details of the above-mentioned program-controlled device, the safety of patients is improved.
  • the programming method when at least one of the programming device and the stimulator fails authentication, the programming method further includes steps S104 to S107.
  • Step S104 Receive health monitoring data sent by the patient device.
  • Step S105 Based on the health monitoring data, obtain the parameter range allowed by the program-controlled device to use the stimulator to deliver electrical stimulation to the patient.
  • Step S106 Establish a program-controlled connection between the program-controlled device and the stimulator, and use the program-controlled device to obtain doctor configuration information that satisfies the parameter range.
  • Step S107 Use the stimulator to deliver electrical stimulation corresponding to the doctor's configuration information to the patient to provide emergency rescue to the patient.
  • the patient's health monitoring data obtained in real time through the health monitoring device can be used to obtain the patient status type used to indicate whether the patient needs emergency rescue.
  • the patient's programming needs can be objectively judged, and the degree of intelligence of the above-mentioned medical system can be objectively judged. High; because there is no need for the patient to judge whether a doctor is needed for programming, the patient experience is good; when at least one of the programming device and the stimulator fails to pass certification, a parameter range for electrical stimulation is determined based on the patient's health monitoring data for use Doctor's emergency care for patient.
  • the health monitoring data used to indicate the patient's physiological parameters may be the patient's electroencephalogram monitoring data, electrocardiogram monitoring data, electromyography monitoring data, electrooculoscopy monitoring data, heart rate monitoring data, pulse monitoring data and One or more types of visual monitoring data, such as “heart rate 160 beats/minute”, “pulse rate 100 beats/minute”, “heart rate 90 beats/minute”, “myoelectricity 450Hz”, “falling to the ground” , “Twitching behavior occurs”, etc.
  • the parameter range of the above electrical stimulation may be the amplitude, frequency and pulse width of the electrical stimulation.
  • the parameter range is one or more of [pulse width not less than 60 ⁇ s and not greater than 180 ⁇ s], [amplitude not less than 1V and not greater than 5V], [frequency not less than 130Hz and not greater than 180Hz].
  • the parameter range of the electrical stimulation may be smaller than the parameter range when both the program-controlled device and the stimulator pass certification.
  • the doctor in order to provide first aid to the patient, the doctor establishes a program-controlled connection with the stimulator through the program-controlled device, and the doctor can only adjust the electrical stimulation parameters of the stimulator within a relatively safe parameter range.
  • the attending doctor of Wang Liu who suffered from epilepsy, was Dr. Zhang.
  • Wang Liu suddenly suffered from epilepsy and his limbs twitched involuntarily.
  • Dr. Zhang the attending doctor of Wang Liu, could not be contacted.
  • Dr. Li cannot pass the certification of program-controlled devices.
  • the health monitoring data heart rate 160 beats/minute
  • the program-controlled device is allowed to use the stimulator to deliver electrical stimulation to the patient in a parameter range (less than normal).
  • the parameter range of electrical stimulation can be, for example, [pulse width not less than 60 ⁇ s, not more than 180 ⁇ s], [amplitude not less than 1V, not more than 5V], establishing a programmable connection between Dr. Li's programmable device and Wang Liu's stimulator , use the stimulator to deliver electrical stimulation corresponding to the doctor's configuration information [pulse width 90 ⁇ s, amplitude 3.5V] to Wang Liu, and provide emergency rescue to the patient.
  • the above parameter range is based on health monitoring data, taking into account the patient's physical condition, and considering that Dr. Li is not Wang Liu's attending physician, is not familiar with Wang Liu's condition, and is not suitable for more radical treatment plans to meet the needs of emergencies. Emergency care of patients.
  • step S105 may include:
  • the health monitoring data is input into a parameter range model to obtain a parameter range within which the programmable device is permitted to utilize the stimulator to deliver electrical stimulation to the patient.
  • the training process of the parameter range model may include:
  • the first training set includes a plurality of first training data, each of the first training data includes health monitoring data of a sample patient and the permission of the program-controlled device to use the stimulator to Label data of the parameter range of electrical stimulation delivered to the sample patient; for each first training data in the first training set, perform the following processing: input the health monitoring data of the sample patient in the first training data into the preset
  • the first deep learning model is designed to obtain prediction data of the parameter range in which the program-controlled device is allowed to use the stimulator to deliver electrical stimulation to the sample patient; based on the program-controlled device being allowed to use the stimulator to deliver electrical stimulation to the sample patient,
  • the sample patient delivers prediction data and annotation data of the parameter range of electrical stimulation, and updates the model parameters of the first deep learning model; detects whether the preset first training end condition is met; if the preset first training end condition, then the training will be
  • the first deep learning model obtained is used as the parameter range model; if the preset first training end condition is not met, the next first training data is used to
  • the parameter range model obtained through training can be used to obtain the parameter range that the program-controlled device is allowed to use the stimulator to deliver electrical stimulation to the patient, thereby improving the accuracy of acquisition; the first training set is used to compare the preset first
  • the deep learning model is trained to obtain a parameter range model.
  • the parameter range model can be trained from a large amount of first training data, and can predict the parameter range of the program-controlled device that is allowed to use the stimulator to deliver electrical stimulation to the patient based on a variety of health monitoring data. , wide application range and high level of intelligence.
  • the parameter range model can be trained by a large amount of training data, and can predict the parameter range that the program-controlled device is allowed to use the stimulator to deliver electrical stimulation to the patient based on different input data. It has a wide range of application and a high level of intelligence. high.
  • the parameter range model obtained by training can achieve all the requirements.
  • the program-controlled device is allowed to utilize the function of the stimulator to deliver the parameter range of electrical stimulation to the patient, and the calculation results are highly accurate and reliable.
  • This application does not limit the training process of the parameter range model.
  • the training method of the above-mentioned supervised learning can be used, or the training method of semi-supervised learning can be used, or the training method of unsupervised learning can be used.
  • This application does not limit the preset first training end condition, which may be, for example, that the number of training times reaches a preset number of times (the preset number of times is, for example, 1 time, 3 times, 10 times, 100 times, 1000 times, 10000 times, etc.), Or it can be that all the training data in the second training set have completed one or more trainings, or it can be that the total loss value obtained in this training is not greater than the preset loss value.
  • Figure 3 is a partial flow diagram of yet another program control method provided by an embodiment of the present application.
  • the program-controlled device may also include a camera, and the program-controlled method further includes steps S108 to S109.
  • Step S108 Send the video information obtained by the camera to a preset platform device in real time, so that the platform device uses the video information to identify the doctor's personal information.
  • Step S109 Receive a video communication request from the platform device to establish a video communication connection between the platform device and the program-controlled device.
  • the video information is sent to the preset platform device in real time to realize the identification of the doctor's personal information, which improves security and makes the doctor's rescue behavior more reliable. Traceability, combined with the patient's health monitoring information, can prove whether the rescue behavior is necessary and avoid medical disputes; only when the program-controlled device or stimulator fails to pass the certification, the video information will be sent to the platform equipment, reducing the occupation of the platform equipment.
  • This application does not limit the platform equipment.
  • it can be a 120 first aid platform, a 110 alarm platform or a national public welfare first aid platform.
  • the video information can be a video of the doctor collected by the camera in real time. Based on the video of the doctor, the doctor's personal information can be obtained through a variety of face recognition solutions. Compared with key authentication and other means, the video information obtained by the camera in real time in emergency rescue application scenarios is more secure.
  • the doctor's personal information can include the doctor's medical practitioner qualification certificate number, name, stimulator program control training records, etc. Based on personal information, the matching degree between doctors and patients in emergency rescue status can be known, and a video communication connection between the platform equipment and the program-controlled device can be established, and the doctor's first aid guidance and first aid process can be photographed and archived.
  • the program-controlled device may also include an identity collection device, and the program-controlled method further includes:
  • an identity collection device to collect the identity information of the doctor and send it to a preset platform device in real time, so that the platform device uses the identity information to identify the doctor's personal information; receive a video communication request from the platform device, To establish a video communication connection between the platform equipment and the program-controlled device.
  • the identity collection device may be, for example, a vein collection device, a fingerprint collection device, an iris collection device, a voice collection device, etc.
  • the corresponding identity information may be, for example, vein information, fingerprint information, iris information, voice information, etc.
  • Figure 4 is a schematic flow chart of a program-controlled device authentication provided by an embodiment of the present application.
  • the program-controlled device stores multiple verified identity information
  • step S101 may include steps S201 to S204.
  • Step S201 Use the interactive device to receive the identity information to be verified.
  • Step S202 Based on the identity information to be verified, match the identity information to be verified with each verified identity information corresponding to the pre-stored first identification information.
  • Step S203 When the identity information to be verified successfully matches one of the verified identity information, stop matching and determine that the program-controlled device has passed the authentication.
  • Step S204 When the identity information to be verified fails to match any of the verified identity information, it is determined that the program-controlled device has not passed the authentication.
  • the authentication result of the program-controlled device can be clearly obtained; as long as the identity information to be verified matches a verified identity If the authentication identity information is successfully matched, subsequent matching will be stopped to save processing resources; during the authentication process, the verified identity information is stored locally and the response speed is fast.
  • the interactive device can be one or more of a keyboard, mouse, buttons, touch screen, and microphone.
  • the identity information to be verified may include one or more of Chinese, English, numbers, symbols and special symbols, and the information to be verified may include first identification information.
  • Verified identity information includes identity information that has been verified in advance and is used for matching identity information to be verified.
  • the verified identity information may include, for example, the identity information of the patient himself, family members, doctors, nurses, caregivers, etc.
  • Wang Wu who suffers from migraine, is a patient of Dr. Zhang.
  • Dr. Zhang uses the interactive device to input the identity information to be verified "Doctor Code: 12444111-3".
  • the pre-stored verification identity information includes "Doctor Code: 12444111- 3;
  • the identity information to be verified entered by Dr. Zhang is matched with each of the pre-stored verification identity information and the matching is successful, confirming that Dr. Zhang's program-controlled device has passed the certification.
  • Figure 5 is a schematic flow chart of another program-controlled device authentication provided by an embodiment of the present application.
  • step S101 may also include steps S301 to S304.
  • Step S301 Obtain the corresponding relationship between the doctor and the program-control authority type.
  • the program-control authority type includes those with program-control authority and those without program-control authority.
  • Step S302 Based on the first identification information and the corresponding relationship, detect whether the doctor corresponding to the program-controlled device has program-control authority.
  • Step S303 When the doctor has program control authority, determine that the program control device has passed the authentication.
  • Step S304 When the doctor does not have the program control authority, it is determined that the program control device has not passed the authentication.
  • the program control authority type corresponding to the doctor has program control authority or does not have program control authority, and then determines whether the program control device has passed the authentication.
  • Figure 6 is a schematic flow chart of stimulator authentication provided by an embodiment of the present application.
  • step S102 may also include steps S401 to S403.
  • Step S401 Based on the second identification information, match the second identification information with each preset identification information corresponding to the pre-stored second identification information.
  • Step S402 When the second identification information successfully matches one of the identification preset information, stop matching and determine that the stimulator has passed the authentication.
  • Step S403 When the second identification information fails to match any of the authentication identification information, it is determined that the stimulator has not passed the authentication.
  • the authentication result of the stimulator can be clearly obtained; as long as the second identification information successfully matches one identification preset information, subsequent matching will be stopped, saving processing. resources; only stimulators that have passed the authentication of the second identification information can establish a program-controlled connection, which is highly secure.
  • identification preset information can be stored in the patient device or in a cloud server.
  • the identification preset information can be called from the patient device or the cloud server.
  • the preset identification information may include one or more of Chinese, English, numbers, symbols, fingerprint information, iris information and special symbols. It is a preset patient number and stimulator number used to identify the stimulator that can pass certification. wait.
  • Wang Wu who suffers from migraine, is a patient of Dr. Zhang.
  • Wang Wu sends a patient programming request to Dr. Zhang’s programming device through the patient device.
  • the patient programming request includes “Patient: Wang Wu, stimulator machine code: A-3331” second identification information
  • the pre-stored identification preset information includes “Patient: Wang Wu, stimulator machine code: A-3331”
  • match the second identification information with a pre-stored identification preset information the match is successful to determine that the stimulator is certified.
  • Wang Wu who suffers from migraine, is a patient of Dr. Zhang.
  • Wang Wu sends a patient programming request to Dr. Zhang's programming device through the patient device.
  • the patient programming request includes the second identifier of "Patient: Wang Wu" Information
  • the pre-stored identification preset information includes "Patient: Wang Wu, stimulator machine code: A-3331; Corresponding doctor: Dr. Zhang”, match the second identification information with a pre-stored identification preset information, and match Success confirms that the stimulator is certified.
  • the program control method may further include: when the program control device or the stimulator fails to pass authentication, display prompt information through the program control device.
  • the programmable device or the stimulator fails to pass the authentication, it will be displayed by the programmable device. Prompt information, timely.
  • the type of prompt information may include at least one of the following: text, voice, image, and video.
  • a voice prompt message "The stimulator has not passed certification, please contact the patient in time” is sent through the program-controlled device.
  • the program-controlled device may include a display screen, a speaker, etc., configured to display prompt information.
  • the program-controlled device includes a processor.
  • the implementation of the processor is consistent with the implementation described in the above-mentioned method implementation and the technical effects achieved. Part of the content will not be repeated.
  • the processor is configured to:
  • the device is authenticated; wherein, the stimulator is implanted in the patient; when both the program-controlled device and the stimulator pass authentication, a program-controlled connection between the program-controlled device and the stimulator is established to utilize the The stimulator delivers electrical stimulation to the patient or senses electrophysiological activity of the patient.
  • the processor is configured to obtain the first identification information of the program-controlled device in the following manner: receiving a program-controlled connection operation, and obtaining the first identification information in response to the program-controlled connection operation; or,
  • the programming device is used to receive a patient programming request sent by a patient device, and in response to the patient programming request, first identification information of the programming device is obtained.
  • the processor when at least one of the programmable device and the stimulator fails authentication, is configured to: receive health monitoring data sent by the patient device; based on the health monitoring data , obtain the parameter range within which the program-controlled device is permitted to use the stimulator to deliver electrical stimulation to the patient; establish a program-controlled connection between the program-controlled device and the stimulator, and use the program-controlled device to obtain the parameter range that satisfies all requirements.
  • the doctor's configuration information of the above parameter range is used; the stimulator is used to deliver the electrical stimulation corresponding to the doctor's configuration information to the patient, so as to provide emergency rescue to the patient.
  • the processor is configured to obtain the parameter range by inputting the health monitoring data into a parameter range model to obtain the permission of the program-controlled device to use the stimulator to provide the parameter range to the parameter range.
  • Parameter range for delivering electrical stimulation to the patient wherein, the training process of the parameter range model includes: obtaining a first training set, the first training set includes a plurality of first training data, each of the first training data includes a The health monitoring data of the sample patient and the annotated data of the parameter range in which the program-controlled device is allowed to use the stimulator to deliver electrical stimulation to the sample patient; for each first training data in the first training set, execute The following process: input the health monitoring data of the sample patient in the first training data into the preset first deep learning model, and obtain the permission of the program-controlled device to use the stimulator to deliver electrical stimulation to the sample patient.
  • Prediction data of the parameter range updating the model parameters of the first deep learning model based on the prediction data and annotation data of the parameter range that the program-controlled device is allowed to use the stimulator to deliver electrical stimulation to the sample patient ;Detect whether the preset first training end condition is met; if the preset first training end condition is met, then The trained first deep learning model is used as the parameter range model; if the preset first training end condition is not met, the next first training data is used to continue training the first deep learning model.
  • the program-controlled device further includes a camera
  • the processor is further configured to: send the video information obtained by the camera to a preset platform device in real time, so that the platform device uses the video The information identifies the doctor's personal information; receives a video communication request from the platform device to establish a video communication connection between the platform device and the program-controlled device.
  • the program-controlled device stores multiple verified identity information
  • the processor is configured to authenticate the program-controlled device in the following manner: using an interactive device to receive the identity information to be verified; based on the to-be-verified identity information. Verify the identity information, matching the identity information to be verified with each verified identity information corresponding to the pre-stored first identification information; when the identity information to be verified successfully matches one of the verified identity information when, stop matching and determine that the program-controlled device has passed the authentication; when the identity information to be verified fails to match any of the verified identity information, it is determined that the program-controlled device has not passed the authentication.
  • the processor is configured to authenticate the program-controlled device in the following manner: obtain the corresponding relationship between the doctor and the program-control authority type, and the program-control authority type includes those with program-control authority and without program-control authority; based on The first identification information and the corresponding relationship are used to detect whether the doctor corresponding to the program-controlled device has program-control authority; when the doctor has program-control authority, it is determined that the program-controlled device has passed the authentication; when the doctor does not have program-control authority When, it is determined that the program-controlled device has not passed the certification.
  • the processor is configured to authenticate the stimulator in the following manner: synchronously acquiring the second identification information of the stimulator when acquiring the first identification information of the program-controlled device; based on the The second identification information is matched with each preset identification information corresponding to the pre-stored second identification information; when the second identification information matches one of the preset identification information When the matching is successful, the matching is stopped and the stimulator is determined to have passed the authentication; when the second identification information fails to match any of the identification preset information, it is determined that the stimulator has not passed the authentication.
  • the processor is further configured to: when the program-controlled device or the stimulator fails authentication, display prompt information through the program-controlled device.
  • Figure 7 is a schematic structural diagram of a medical system provided by an embodiment of the present application.
  • This application also provides a medical system 10, including: the program-controlled device 13 described in any of the above embodiments; a stimulator 11, which is implanted in the patient's body to use the stimulator 11 to treat the patient's body. delivering electrical stimulation or sensing electrophysiological activity to the patient; patient device 12, the patient device The device 12 is configured to generate a patient programming request to establish a programming connection between the programming device 13 and the stimulator 11 .
  • Figure 8 is a schematic flow chart for generating a patient programming request provided by an embodiment of the present application.
  • the generating process of the patient programming request may include steps S501 to S503.
  • Step S501 Use the patient device to receive real-time health monitoring data of the patient obtained by the health monitoring device, where the health monitoring data is used to indicate the patient's physiological parameters.
  • Step S502 Use the patient device to obtain the patient status type corresponding to the health monitoring data.
  • the patient status type is used to indicate that the patient needs emergency rescue or does not need emergency rescue.
  • Step S503 When it is detected that the patient status type corresponding to the health monitoring data indicates the need for emergency rescue, use the patient device to generate the patient program control request.
  • the patient's health monitoring data obtained in real time through the health monitoring device can be used to obtain the patient status type used to indicate whether the patient needs emergency rescue.
  • the patient's programming needs can be objectively judged, and the degree of intelligence of the above-mentioned medical system can be objectively judged. High; because the patient does not need to judge whether a doctor is needed for program control, the patient experience is good.
  • the health monitoring device may include one or more of the following devices: an EEG monitoring device, an ECG monitoring device, an EMG monitoring device, a heart rate monitoring device, a pulse monitoring device, and a visual monitoring device.
  • the health monitoring data used to indicate the patient's physiological parameters may be one or more of the patient's EEG monitoring data, ECG monitoring data, EMG monitoring data, heart rate monitoring data, pulse monitoring data and visual monitoring data, for example It is “heart rate 160 beats/minute”, “pulse rate 100 beats/minute”, “heart rate 90 beats/minute”, “myoelectricity 450Hz”, etc.
  • the health monitoring device is a stimulator, and the health monitoring data is obtained by the stimulator sensing the electrophysiological activity of the patient; the patient device is configured to obtain the The patient status type corresponding to the health monitoring data: use a status classification model to classify the health monitoring data to obtain the patient status type corresponding to the health monitoring data; wherein, the training process of the status classification model includes: obtaining the second A training set, the second training set includes a plurality of second training data, each of the second training data includes a sample data and annotation data of the patient status type corresponding to the sample data, and each of the sample data is Obtained from health monitoring of real human body or using Generative Adversarial Network (GAN) model generated by the generation network; for each second training data in the second training set, perform the following processing: input the sample data in the second training data into the preset second deep learning model to obtain the Prediction data of the patient status type corresponding to the sample data; updating the model parameters of the second deep learning model based on the prediction data and annotation data of the patient
  • GAN
  • health monitoring data obtained through the stimulator can more accurately and timely reflect the patient's health status; obtaining the patient's status type through the status classification model obtained through training can improve the accuracy of the acquisition; using the training set to predict the patient's status
  • the second deep learning model is trained to obtain a state classification model.
  • the state classification model can be trained by a large amount of second training data, and can predict the corresponding patient state type for a variety of health monitoring data. It has a wide range of applications and is intelligent. The level is high.
  • the state classification model can be trained by a large amount of training data, and can predict the patient state type corresponding to the health monitoring data based on different input data. It has a wide range of applications and a high level of intelligence.
  • This embodiment does not limit the network structure of the preset second deep learning model, which may be a U-shaped network, a convolutional neural network (Convolutional Neural Network, CNN), etc.
  • the loss function may be, for example, an L1 loss function or an L2 loss function.
  • This application does not limit the training process of the parameter range model.
  • the training method of the above-mentioned supervised learning can be used, or the training method of semi-supervised learning can be used, or the training method of unsupervised learning can be used.
  • the sample data can be, for example, 38°C, heartbeat 178 beats/minute, electromyography 300Hz, etc. obtained by health monitoring of real human bodies during clinical processes.
  • the corresponding annotated data can be, for example, bradycardia. , normal pulse, too fast pulse, abnormal myoelectricity, etc. It can also be a label that can represent the above labeled data, such as A1, A2, X3, etc. Through the above annotated data, the patient status type corresponding to the corresponding sample data can be obtained.
  • the GAN model consists of a generative network and a discriminative network. Generate network from latent space Random sampling in (latent space) is used as input, and the output results need to imitate the real samples in the training set as much as possible.
  • the input of the discriminant network is a real sample or the output of the generative network, and its purpose is to distinguish the output of the generative network from the real sample as much as possible.
  • the generative network must deceive the discriminant network as much as possible.
  • the two networks compete with each other and constantly adjust parameters. The ultimate goal is to make the discriminant network unable to judge whether the output results of the generating network are true.
  • the GAN model can be used to generate sample data of multiple operating parameters for the training process of the fault detection model, which can effectively reduce the amount of original data collection and greatly reduce the cost of data collection and labeling.
  • This application does not limit the preset second training end condition, which may be, for example, that the number of training times reaches a preset number of times (the preset number of times is, for example, 1 time, 3 times, 10 times, 100 times, 1000 times, 10000 times, etc.), Or it can be that all the training data in the second training set have completed one or more trainings, or it can be that the total loss value obtained in this training is not greater than the preset loss value.
  • Health monitoring data is obtained from the patient's electrophysiological activities sensed by the stimulator, such as the voltage value and current value of the brain electrical signal where the stimulator is implanted.
  • Embodiments of the present application also provide a computer-readable storage medium, the implementation manner of which is consistent with the implementation manner and the achieved technical effects recorded in the embodiments of the program-controlled device, and part of the content will not be described again.
  • the computer-readable storage medium is configured to store a computer program; when the computer program is executed, the steps of the above method in the embodiment of the present application are implemented.
  • Figure 9 is a program product 300 configured to implement the above method provided by an embodiment of the present application. It can use a portable compact disk read-only memory (Compact Disc-ROM, CD-ROM) and include program code, and can be used on a terminal device, For example, run on a personal computer.
  • a readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus or device.
  • Program product 300 may take the form of 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, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof.
  • Examples of readable storage media include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (Read-Only Memory) , ROM), Erasable Programmable Read Only Memory (Erasable Programmable Read Only Memory, EPROM or flash memory), optical fiber, CD-ROM, optical storage device, magnetic storage device, or any suitable combination of the above.
  • a computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave carrying the readable program code therein. Such propagated data signals may take many forms, including electromagnetic signals, optical signals, or any suitable combination of the above.
  • a readable storage medium may also be any readable medium other than a readable storage medium that can be sent, propagated, or transmitted for execution of instructions.
  • the program code contained on the readable storage medium can be transmitted using any suitable medium, including wireless, wired, optical cable, radio frequency (Radio Frequency, RF), etc., or any suitable combination of the above.
  • the program code for performing the operations of the present application can be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and also includes conventional procedural programming languages. Such as "C" language or similar programming language.
  • the program code may execute entirely on the user's computing device, partly on the user's 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 Executed on 50.
  • the remote computing devices 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., utilizing an Internet service provider to connect via the Internet).
  • LAN local area network
  • WAN wide area network
  • an external Computing device e.g., utilizing an Internet service provider to connect via the Internet.

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Abstract

程控装置(13)、医疗系统及计算机可读存储介质，程控装置(13)包括处理器，处理器被配置成：获取程控装置(13)的第一标识信息，并基于第一标识信息对程控装置(13)进行认证；获取刺激器(11)的第二标识信息，并基于第二标识信息对刺激器(11)进行认证；其中，刺激器(11)植入于患者体内；当程控装置(13)和刺激器(11)均通过认证时，建立程控装置(13)与刺激器(11)之间的程控连接，以利用刺激器(11)向患者递送电刺激或感测患者的电生理活动。

Description

程控装置、医疗系统及计算机可读存储介质
本申请要求在2022年07月27日提交中国专利局、申请号为202210894135.1的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及植入式医疗设备的技术领域，例如涉及程控装置、医疗系统及计算机可读存储介质。
背景技术
在植入式医疗设备的技术领域，医生通过程控装置建立与患者侧的刺激器之间的程控连接，医生通过程控装置读取刺激器的配置信息，以实现对刺激器参数的调整。
由于通过程控装置可以对植入患者体内的刺激器的参数进行调整，一旦误用，或落到别有用心的人手中被恶意使用，会对患者带来不可逆的影响。因此在医疗单位，程控装置都是专人保管，或者对程控装置设置医生验证环节，只有通过当前程控装置验证的医生才能对刺激器进行程控连接。例如，CN102441230A公开了一种具有安全保密功能的医生程控器，当使用者为该医生程控器设定的授权用户时，与微处理器系统模块相接的多个功能模块处于正常工作状态；当微处理器系统模块判断使用者并非该医生程控器设定的授权用户时，微处理器系统模块发出禁止使用医生程控器命令，从而避免了除该医生程控器设定的授权用户以外的人利用医生程控器对病人植入的脉冲发生器进行遥控调节。
该医生程控器一旦完成医生身份的验证，就能实现对任一刺激器的刺激参数的调整。如果在患者侧也进行身份认证，势必造成患者侧的能耗增大，引起植入式设备发热的情况，降低了患者侧的安全性。
发明内容
本申请提供程控装置、医疗系统及计算机可读存储介质，分别对程控装置和刺激器进行认证，充分考虑到医生侧和患者侧的安全性。
第一方面，本申请提供了一种程控装置，所述程控装置设置于医生侧，所述程控装置包括处理器，所述处理器被配置成：
获取所述程控装置的第一标识信息，并基于所述第一标识信息，对所述程 控装置进行认证；
获取刺激器的第二标识信息，并基于所述第二标识信息，对所述刺激器进行认证；其中，所述刺激器植入于患者体内；
当所述程控装置和所述刺激器均通过认证时，建立所述程控装置与所述刺激器之间的程控连接，以利用所述刺激器向所述患者递送电刺激或感测所述患者的电生理活动。
第二方面，本申请还提供了一种医疗系统，包括：第一方面任一实施例所述的程控装置，所述程控装置设置于医生侧；
刺激器，所述刺激器植入于患者体内，以利用所述刺激器向所述患者递送电刺激或感测所述患者的电生理活动
患者装置，所述患者装置被配置成生成患者程控请求，以建立所述程控装置与所述刺激器之间的程控连接。
第三方面，本申请还提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现所述第一方面中的程控装置的功能。
附图说明
图1是本申请实施例提供的一种程控方法的流程示意图；
图2是本申请实施例提供的另一种程控方法的部分流程示意图；
图3是本申请实施例提供的又一种程控方法的部分流程示意图；
图4是本申请实施例提供的一种程控装置认证的流程示意图；
图5是本申请实施例提供的另一种程控装置认证的流程示意图；
图6是本申请实施例提供的一种刺激器认证的流程示意图；
图7是本申请实施例提供的一种医疗系统的结构示意图；
图8是本申请实施例提供的一种用于生成患者程控请求的流程示意图；
图9是本申请实施例提供的一种计算机可读存储介质的结构示意图。
具体实施方式
下面，结合附图以及具体实施方式，对本申请做描述。
首先对本申请的应用领域进行说明。
刺激器可以是植入式医疗设备的一种，植入式医疗设备可以是植入式神经 电刺激装置、植入式心脏电刺激系统(又称心脏起搏器)、植入式药物输注装置(Implantable Drug Delivery System，IDDS)和导线转接装置中的任意一种。植入式神经电刺激装置例如是脑深部电刺激(Deep Brain Stimulation，DBS)系统，又称脑深部刺激器，植入式脑皮层刺激(Cortical Nerve Stimulation，CNS)系统，植入式脊髓电刺激(Spinal Cord Stimulation，SCS)系统，植入式骶神经电刺激(Sacral Nerve Stimulation，SNS)系统，植入式迷走神经电刺激(Vagus Nerve Stimulation，VNS)系统等；植入式医疗设备设置于患者体内，被配置成提供电刺激，受刺激的生物体组织可以是患者的脑组织，受刺激的部位可以是脑组织的特定部位，当患者的疾病类型不同时，受刺激的部位一般来说是不同的；本申请对植入式医疗设备适用的疾病类型不做限定，其可以是DBS、SCS、骨盆刺激、胃刺激、外周神经刺激、功能性电刺激所适用的疾病类型；其中，DBS可以用于治疗或管理的疾病类型包括：痉挛疾病(例如，癫痫)、疼痛、偏头痛、精神疾病(例如，重度抑郁症(Major Depressive Disorder，MDD))、躁郁症、焦虑症、创伤后压力心理障碍症、轻郁症、强迫症(Obsessive Compulsive Disorder，OCD)、行为障碍、情绪障碍、记忆障碍、心理状态障碍、移动障碍(例如，特发性震颤或帕金森氏病)、亨廷顿病、阿尔茨海默症、药物成瘾症、自闭症或其他神经学或精神科疾病和损害。
通过程控装置可以对植入患者体内的刺激器进行程控，程控装置和刺激器建立程控连接时，医生可以调整刺激器的电刺激信号的参数，也可以通过刺激器感测患者脑深部的电活动，并可以通过所感测到的电活动以指导医生继续调节刺激器的电刺激信号的参数。电刺激信号的参数可以是频率(单位时间1s内的脉冲个数，单位为Hz)、脉宽(每个脉冲的持续时间，单位为μs)、和幅值(一般用电压表述，即每个脉冲的强度，单位为V)中的任意种。在应用中，可以在电流模式或者电压模式下对植入式脉冲发生器(Implantable Pulse Generator，IPG)的参数进行调节。
本申请对程控装置和刺激器的数据交互方式不进行限制。例如，程控装置和刺激器的数据交互的实现方式可以是：程控装置通过401MHz-406MHz工作频段或2.4GHz-2.48GHz工作频段与刺激器进行数据交互。程控装置和刺激器的数据交互的实现方式也可以是：程控装置通过第三代移动通信技术(3rd-Generation，3G)/4G/5G网络与中转网关进行数据交互，中转网关通过3G/4G/5G网络与患者装置进行数据交互，患者装置通过401MHz-406MHz工作频段或2.4GHz-2.48GHz工作频段与刺激器进行数据交互。程控装置和刺激器的数据交互的实现方式还可以是：程控装置通过3G/4G/5G网络与患者装置进行数据交互，患者装置通过401MHz-406MHz工作频段或2.4GHz-2.48GHz工作频段与刺激器进行数据交互。上述连接方式均可以实现程控装置与刺激器的数据交 互。本申请对患者装置不进行限制，患者装置可以是患者程控器。
参见图1，图1是本申请实施例提供的一种程控方法的流程示意图。
所述程控方法包括步骤S101-步骤S103。
步骤S101、获取所述程控装置的第一标识信息，并基于所述第一标识信息，对所述程控装置进行认证。
步骤S102、获取刺激器的第二标识信息，并基于所述第二标识信息，对所述刺激器进行认证。其中，所述刺激器植入于患者体内。
步骤S103、当所述程控装置和所述刺激器均通过认证时，建立所述程控装置与所述刺激器之间的程控连接，以利用所述刺激器向所述患者递送电刺激或感测所述患者的电生理活动。
程控装置设置于医生侧，通过程控装置获取第一标识信息和第二标识信息，基于第一标识信息和第二标识信息分别实现程控装置和刺激器的认证。获取程控装置的第一标识信息，以进行程控装置的认证，当认证成功时表明程控装置(医生侧)的合法性；获取刺激器的第二标识信息，以进行刺激器的认证，当认证成功时表明刺激器(患者侧)的合法性。只有通过上述两次认证时，才会建立程控装置(医生侧)与刺激器(患者侧)的程控连接。
一方面，将刺激器的第二标识信息进行获取并通过程控装置进行认证，由于刺激器植入患者体内，可以避免认证运算过程造成刺激器的功耗增加，减小了刺激器功耗高造成的发热等状况，进而在没有增加刺激器的耗电的前提下进行刺激器的认证、提高刺激器的安全性。
另一方面，分别进行程控装置和刺激器的认证过程，一方认证的进度不影响另一方认证的进度，避免了数据处理不及时的情况。分别进行认证可以充分利用程控装置的性能、以实现硬件上性能叠加的效果，提高了认证的响应速度，进而缩短了程控装置与刺激器程控连接的速度，避免因数据处理不及时造成的程控连接延迟问题给患者带来不好的治疗体验。
又一方面，上述方法中，只有程控装置或刺激器中的任一个通过认证，并不会建立二者之间的程控连接，避免了单方面(医生侧或患者侧)认证不符合通过条件时建立的程控连接会给患者带来安全隐患，安全性比较高。事实上，在当前的程控方法中，往往更关注用户(医生)登录程控装置(医生侧)的合法性，但是登录程控装置的合法性只能初步证明当前用户有能力使用当前程控装置，并不能代表当前用户可以对所有植入刺激器的患者都有能力进行程控。在这个前提下，对刺激器的第二标识信息同步进行获取和认证，可以极大程度地保障患者的生命安全。
综上，本申请提供的程控方法，获取第一标识信息和第二标识信息，分别对程控装置和刺激器进行认证，可以避免因数据处理不及时给患者带来不好的治疗体验，并具有更高的安全性；通过医生单侧的程控装置同时进行患者和医生两端的认证，减少患者侧设备耗电增加引起植入式设备发热的情况，提升患者侧的安全性。
在一个应用中，医生A和患者B需要建立程控连接，获取医生侧的程控装置的第一标识信息“医生A，012222”，并通过患者侧的刺激器获取患者B的第二标识信息“患者B，A-1330”。医生侧的程控装置基于获取的第一标识信息对程控装置进行认证，以获知医生A有资格进行程控连接。医生侧的程控装置基于第二标识信息对刺激器(患者B)进行认证，以获知患者B的刺激器可以程控连接。
本申请的患者设备中，并没有设置身份认证。对患者或医生的认证，均在程控装置中进行。因此，通过医生侧的程控装置进行患者和医生的认证，以使患者侧的装置只进行标识信息采集，避免认证过程的耗电，进而提高了患者侧设备的安全性。本申请中，第一标识信息可以包括中文、英文、数字、符号和特殊符号中的一种或多种，例如可以是登录程控装置的医生的医生编号、执业医师资格证书编码、所在科室编码等。例如是“张医生，013331”、“013331-A”、“王医生，013331-A，外五科”等。
第二标识信息可以包括中文、英文、数字、符号和特殊符号中的一种或多种，例如可以是刺激器的患者编号、刺激器编号、刺激器所对应的医生等。例如是“患者张三，A-3331”、“患者张三，0131@1，王医生”、“013@&331-A”等。
在一些实施方式中，所述步骤S101可以包括：
接收程控连接操作，响应于所述程控连接操作，获取所述第一标识信息；或，利用所述程控装置接收患者装置发送的患者程控请求，响应于所述患者程控请求，获取所述程控装置的第一标识信息。
由此，利用程控装置接收医生程控请求以获得第一标识信息，或响应于患者程控请求以获取第一标识信息，考虑到医生和患者双方面的程控需求，更人性化。
医生可以主动向程控装置发送包括第一标识信息的医生程控请求，程控装置的认证无需患者操作，降低了患者的学习成本；患者可以通过患者装置主动向程控装置发送患者程控请求，医生可以接收并响应患者程控请求，向程控装置发送医生程控请求，满足患者的程控需求。综上，对程控装置的认证既考虑到医生程控器求，又考虑到患者程控请求，相比仅限于医生单方面的需求所进 行的程控装置认证，从医患双方的需求进行考虑，促进了医患之间的关系的和谐。
在一个应用中，患有偏头痛的王五是张医生的患者，张医生需要在王五发病时获知刺激器所感测到的电生理活动。当王五偏头痛时，王五通过患者装置发送患者程控请求，张医生的程控装置接收到患者发送的程控请求后可以第一时间执行对张医生和王五的双侧认证，其中，基于第一标识信息对张医生的操作权限进行认证，同时获取刺激器的第二标识信息，对张医生是否具有对王五的治疗权限进行认证。上述认证考虑到了患者需求，由于患者对自己身体状态最为了解，提高患者的参与度，进而提高了医生对患者的治疗质量。
在另一个应用中，患有癫痫病的王六是张医生的患者，张医生需要在王六发病时获知刺激器所感测到的电生理活动。当王六四肢不自主抽搐时，王六的家人电话联系张医生进行求助，张医生接收到患者家人的求助后可以进行程控连接操作，基于第一标识信息对程控装置进行认证。同时获取刺激器的第二标识信息，以对刺激器进行认证。上述程控装置的认证过程也考虑到患者的不同病症下的需求，通过上述程控装置的认证细节的把控，提高了患者的安全保障。
参见图2，图2是本申请实施例提供的另一种程控方法的部分流程示意图。
在一些实施方式中，当所述程控装置和所述刺激器中的至少一个未通过认证时，所述程控方法还包括步骤S104-步骤S107。
步骤S104、接收所述患者装置发送的健康监测数据。
步骤S105、基于所述健康监测数据，获取所述程控装置被许可的利用所述刺激器向所述患者递送电刺激的参数范围。
步骤S106、建立所述程控装置与所述刺激器之间的程控连接，并利用所述程控装置获取满足所述参数范围的医生配置信息。
步骤S107、利用所述刺激器向所述患者递送所述医生配置信息对应的电刺激，以对所述患者进行紧急救护。
由此，通过健康监测装置实时获取的患者的健康监测数据，得到用于指示患者是否需要紧急救护的患者状态类型，无需人工干预，可以客观地判断患者的程控需求，上述医疗系统的智能化程度高；因为无需患者判断是否需要医生进行程控，患者的体验效果好；在程控装置和刺激器中的至少一个未通过认证时，根据患者的健康监测数据确定一个电刺激的参数范围，以用于医生对患者的紧急救护。
用于指示患者的生理参数的健康监测数据可以是患者的脑电监测数据、心电监测数据、肌电监测数据、眼电监测数据、心率监测数据、脉搏监测数据和 视觉监测数据中的一种或多种，例如是“心率160次/分钟”、“脉搏频率100次/分钟”、“心率90次/分钟”、“肌电450Hz”、“发生倒地行为”、“发生抽搐行为”等。
上述电刺激的参数范围可以是电刺激的幅值、频率和脉宽。例如参数范围是[脉宽不小于60μs、不大于180μs]、[幅值不小于1V、不大于5V]、[频率不小于130Hz、不大于180Hz]中的一个或多个。当所述程控装置和刺激器中的至少一个未通过认证时，上述电刺激的参数范围可以比程控装置和刺激器均通过认证时的参数范围小。这种情况下，为了对患者进行急救，医生通过程控装置和刺激器建立程控连接，医生也只能在一个相对安全的参数范围内对刺激器的电刺激的参数进行调整。
在一个应用中，患有癫痫病的王六的主治医生是张医生，王六突发癫痫四肢不自主抽搐，不能联系到王六的主治医生张医生，张医生的同事李医生对王六进行救治，李医生不能通过程控装置的认证。此时，接收患者装置发送的健康监测数据(心率160次/分钟)，基于心率160次/分钟的健康监测数据，程控装置被许可利用刺激器向所述患者递送电刺激的参数范围(小于正常电刺激的参数范围)例如可以是[脉宽不小于60μs、不大于180μs]、[幅值不小于1V、不大于5V]，建立李医生的程控装置与王六的刺激器之间的程控连接，利用刺激器向王六递送医生配置信息[脉宽90μs、幅值3.5V]对应的电刺激，对所述患者进行紧急救护。上述参数范围基于健康监测数据，既考虑到患者的身体状况，又考虑到李医生不是王六的主治医生、对王六的病况不熟悉、不适宜进行较激进的治疗方案，以满足紧急情况下患者的紧急救护。
在一些实施方式中，所述步骤S105可以包括：
将所述健康监测数据输入参数范围模型，以得到所述程控装置被许可的利用所述刺激器向所述患者递送电刺激的参数范围。
所述参数范围模型的训练过程可以包括：
获取第一训练集，所述第一训练集包括多个第一训练数据，每个所述第一训练数据包括一个样本患者的健康监测数据以及所述程控装置被许可的利用所述刺激器向所述样本患者递送电刺激的参数范围的标注数据；针对所述第一训练集中的每个第一训练数据，执行以下处理：将所述第一训练数据中的样本患者的健康监测数据输入预设的第一深度学习模型，得到所述程控装置被许可的利用所述刺激器向所述样本患者递送电刺激的参数范围的预测数据；基于所述程控装置被许可的利用所述刺激器向所述样本患者递送电刺激的参数范围的预测数据和标注数据，对所述第一深度学习模型的模型参数进行更新；检测是否满足预设的第一训练结束条件；如果满足预设的第一训练结束条件，则将训练 出的第一深度学习模型作为所述参数范围模型；如果不满足预设的第一训练结束条件，则利用下一个所述第一训练数据继续训练所述第一深度学习模型。
由此，通过进行训练所得到的参数范围模型，可以用于得到程控装置被许可的利用刺激器向患者递送电刺激的参数范围，提高获取的精度；利用第一训练集对预设的第一深度学习模型进行训练，得到参数范围模型，参数范围模型可以由大量的第一训练数据训练得到，能够针对多种健康监测数据预测得到程控装置被许可的利用刺激器向患者递送电刺激的参数范围，适用范围广，智能化水平高。
参数范围模型可以由大量的训练数据训练得到，能够针对不同的输入数据预测得到所述程控装置被许可的利用所述刺激器向所述患者递送电刺激的参数范围，适用范围广，智能化水平高。
通过设计，建立适量的神经元计算节点和多层运算层次结构，选择合适的输入层和输出层，就可以得到预设的第一深度学习模型，通过该预设的第一深度学习模型的学习和调优，建立起从输入到输出的函数关系，虽然不能100％找到输入与输出的函数关系，但是可以尽可能地逼近现实的关联关系，由此训练得到的参数范围模型，可以实现获取所述程控装置被许可的利用所述刺激器向所述患者递送电刺激的参数范围的功能，且计算结果准确性高、可靠性高。
本申请对参数范围模型的训练过程不作限定，其例如可以采用上述监督学习的训练方式，或者可以采用半监督学习的训练方式，或者可以采用无监督学习的训练方式。
本申请对预设的第一训练结束条件不作限定，其例如可以是训练次数达到预设次数(预设次数例如是1次、3次、10次、100次、1000次、10000次等)，或者可以是第二训练集中的训练数据都完成一次或多次训练，或者可以是本次训练得到的总损失值不大于预设损失值。
参见图3，图3是本申请实施例提供的又一种程控方法的部分流程示意图。
在一些实施方式中，所述程控装置还可以包括摄像头，所述程控方法还包括步骤S108-步骤S109。
步骤S108、将所述摄像头获取的视频信息实时发送至预设的平台设备，以使所述平台设备利用所述视频信息识别所述医生的个人信息。
步骤S109、接收所述平台设备的视频通信请求，以建立所述平台设备和所述程控装置的视频通信连接。
由此，当患者处于紧急救护的状态时，通过将视频信息实时发送至预设的平台设备，实现对医生的个人信息识别，提高了安全性，使医生的救护行为可 追溯，结合患者的健康监测信息，能够证明救护行为是否必要，避免医疗纠纷；只有在程控装置或刺激器未通过认证时，才会将视频信息发送至平台设备，减少了对平台设备的占用。
本申请对平台设备不进行限制，例如可以是120急救平台、110报警平台或全国公益性的急救平台。
视频信息可以是摄像头实时采集的包括医生的视频，基于包括医生的视频，通过多种人脸识别方案，可以得到医生的个人信息。相比通过密匙认证等手段，在紧急救护的应用场景中摄像头实时获取的视频信息安全性更高。
医生的个人信息可以是医生的执业医师资格证书编码、姓名、刺激器程控培训记录等。基于个人信息可以知道医生和紧急救护状态的患者的匹配程度，建立平台设备和程控装置的视频通信连接，可以对医生进行急救指导和急救过程进行拍摄存档。
在另一些实施方式中，所述程控装置还可以包括身份采集装置，所述程控方法还包括：
利用身份采集装置采集所述医生的身份信息并实时发送至预设的平台设备，以使所述平台设备利用所述身份信息识别所述医生的个人信息；接收所述平台设备的视频通信请求，以建立所述平台设备和所述程控装置的视频通信连接。
所述身份采集装置例如可以是静脉采集装置、指纹采集装置、虹膜采集装置、声音采集装置等，相应地，其所对应的身份信息例如可以是静脉信息、指纹信息、虹膜信息、声音信息等。
参见图4，图4是本申请实施例提供的一种程控装置认证的流程示意图。
在一些实施方式中，所述程控装置存储有多个已验证身份信息，所述步骤S101可以包括步骤S201-步骤S204。
步骤S201、利用交互设备接收待验证身份信息。
步骤S202、基于所述待验证身份信息，将所述待验证身份信息与预先存储的所述第一标识信息对应的每个已验证身份信息进行匹配。
步骤S203、当所述待验证身份信息与其中一个所述已验证身份信息匹配成功时，停止匹配并确定所述程控装置通过认证。
步骤S204、当所述待验证身份信息与任一个所述已验证身份信息都匹配不成功时，确定所述程控装置未通过认证。
由此，通过程控装置预先存储的多个已验证身份信息与待验证身份信息进行匹配，可以明确获取程控装置的认证结果；只要待验证身份信息与一个已验 证身份信息匹配成功就停止后续匹配，节省处理资源；认证过程中已验证身份信息存储在本地、响应速度快。
交互设备可以是键盘、鼠标、按键、触摸屏、麦克风中的一个或多个。
待验证身份信息可以包括中文、英文、数字、符号和特殊符号中的一种或多种，待验证信息信息可以包括第一标识信息。已验证身份信息包括预先已通过验证的身份信息，以用于待验证身份信息的匹配。在一些实施方式中，已验证身份信息例如可以包括患者自身、家人、医生、护士、护工等人的身份信息。
在一个应用中，患有偏头痛的王五是张医生的患者，张医生利用交互设备输入待验证身份信息“医生编码：12444111-3”，预先存储的验证身份信息包括“医生编码：12444111-3；对应患者：王五”，将张医生输入的待验证身份信息和预先存储的每个验证身份信息进行匹配并匹配成功，确定张医生的程控装置通过认证。
在另一个应用中，患有偏头痛的王五是张医生的患者，张医生利用交互设备输入待验证身份信息“医生科室：外四科”，预先存储的验证身份信息包括“医生科室：外三科”，将张医生输入的待验证身份信息和预先存储的每个验证身份信息进行匹配，因为当前科室外四科不允许对王五进行程控连接，确定张医生的程控装置没有通过认证。
参见图5，图5是本申请实施例提供的另一种程控装置认证的流程示意图。
在一些实施方式中，所述步骤S101还可以包括步骤S301-步骤S304。
步骤S301、获取医生与程控权限类型的对应关系，所述程控权限类型包括具备程控权限和不具备程控权限。
步骤S302、基于所述第一标识信息和所述对应关系，检测所述程控装置对应的医生是否具备程控权限。
步骤S303、当所述医生具备程控权限时，确定所述程控装置通过认证。
步骤S304、当所述医生不具备程控权限时，确定所述程控装置未通过认证。
由此，通过第一标识信息可以获知医生所对应的程控权限类型是具备程控权限还是不具备程控权限，进而确定程控装置是否通过认证。通过具备程控权限和不具备程控权限来限定程控权限类型，对于数据存储空间的占用以及对于程控装置认证时计算资源的消耗较小，有利于程控装置认证的顺畅运行。
在一个应用中，患有癫痫病的王六是张医生的患者，张医生与程控权限的对应关系是[张医生-远程程控-具备程控权限]，张医生利用交互设备输入“医生编码：12444111-3”，基于张医生输入的第一标识信息和上述对应关系，当程控装 置希望对刺激器建立远程程控时，确定张医生的程控装置通过认证。
参见图6，图6是本申请实施例提供的一种刺激器认证的流程示意图。
在一些实施方式中，所述步骤S102还可以包括步骤S401-步骤S403。
步骤S401、基于所述第二标识信息，将所述第二标识信息与预先存储的所述第二标识信息对应的每个标识预设信息进行匹配。
步骤S402、当所述第二标识信息与其中一个所述标识预设信息匹配成功时，停止匹配并确定所述刺激器通过认证。
步骤S403、当所述第二标识信息与任一个所述认证标识信息都匹配不成功时，确定所述刺激器未通过认证。
由此，对第二标识信息和预先存储的每个标识预设信息进行匹配，可以明确获取刺激器的认证结果；只要第二标识信息与一个标识预设信息匹配成功就停止后续匹配，节省处理资源；只有通过对第二标识信息认证的刺激器才可能被建立程控连接，安全性高。
多个标识预设信息可以存储在患者装置，还可以存储在云服务器中，第二标识信息与每个标识预设信息进行匹配时，可以从患者装置或云服务器进行标识预设信息的调用。
标识预设信息可以包括中文、英文、数字、符号、指纹信息、虹膜信息和特殊符号中的一种或多种，是预先设置的用于标识可通过认证的刺激器的患者编号、刺激器编号等。
在一个应用中，患有偏头痛的王五是张医生的患者，王五通过患者装置向张医生的程控装置发送患者程控请求，患者程控请求中包括“患者：王五，刺激器机器码：A-3331”的第二标识信息，预先存储的标识预设信息包括“患者：王五，刺激器机器码：A-3331”，将第二标识信息和预先存储的一个标识预设信息进行匹配，匹配成功以确定刺激器通过认证。
在另一个应用中，患有偏头痛的王五是张医生的患者，王五通过患者装置向张医生的程控装置发送患者程控请求，患者程控请求中包括“患者：王五”的第二标识信息，预先存储的标识预设信息包括“患者：王五，刺激器机器码：A-3331；对应医生：张医生”，将第二标识信息和预先存储的一个标识预设信息进行匹配，匹配成功以确定刺激器通过认证。
在一些实施方式中，所述程控方法还可以包括：当所述程控装置或所述刺激器未通过认证时，通过程控装置显示提示信息。
由此，程控装置和刺激器中的任一个未通过认证，都会通过程控装置显示 提示信息，时效性强。
所述提示信息的类型可以包括以下至少一种：文字、语音、图像和视频。例如，通过程控装置发送语音的提示信息“刺激器未通过认证，请及时联系患者”。可以认为，程控装置可以包括显示屏、扬声器等，以被配置成提示信息的显示。
本申请还提供了一种程控装置，所述程控装置包括处理器，所述处理器的实现方式与上述方法实施方式中记载的实施方式、所达到的技术效果一致，部分内容不再赘述。所述处理器被配置成：
获取所述程控装置的第一标识信息，并基于所述第一标识信息，对所述程控装置进行认证；获取刺激器的第二标识信息，并基于所述第二标识信息，对所述刺激器进行认证；其中，所述刺激器植入于患者体内；当所述程控装置和所述刺激器均通过认证时，建立所述程控装置与所述刺激器之间的程控连接，以利用所述刺激器向所述患者递送电刺激或感测所述患者的电生理活动。
在一些实施方式中，所述处理器被配置成采用以下方式获取所述程控装置的第一标识信息：接收程控连接操作，响应于所述程控连接操作，获取所述第一标识信息；或，利用所述程控装置接收患者装置发送的患者程控请求，响应于所述患者程控请求，获取所述程控装置的第一标识信息。
在一些实施方式中，当所述程控装置和所述刺激器中的至少一个未通过认证时，所述处理器被配置成：接收所述患者装置发送的健康监测数据；基于所述健康监测数据，获取所述程控装置被许可的利用所述刺激器向所述患者递送电刺激的参数范围；建立所述程控装置与所述刺激器之间的程控连接，并利用所述程控装置获取满足所述参数范围的医生配置信息；利用所述刺激器向所述患者递送所述医生配置信息对应的电刺激，以对所述患者进行紧急救护。
在一些实施方式中，所述处理器被配置成采用以下方式获取所述参数范围：将所述健康监测数据输入参数范围模型，以得到所述程控装置被许可的利用所述刺激器向所述患者递送电刺激的参数范围；其中，所述参数范围模型的训练过程包括：获取第一训练集，所述第一训练集包括多个第一训练数据，每个所述第一训练数据包括一个样本患者的健康监测数据以及所述程控装置被许可的利用所述刺激器向所述样本患者递送电刺激的参数范围的标注数据；针对所述第一训练集中的每个第一训练数据，执行以下处理：将所述第一训练数据中的样本患者的健康监测数据输入预设的第一深度学习模型，得到所述程控装置被许可的利用所述刺激器向所述样本患者递送电刺激的参数范围的预测数据；基于所述程控装置被许可的利用所述刺激器向所述样本患者递送电刺激的参数范围的预测数据和标注数据，对所述第一深度学习模型的模型参数进行更新；检测是否满足预设的第一训练结束条件；如果满足预设的第一训练结束条件，则 将训练出的第一深度学习模型作为所述参数范围模型；如果不满足预设的第一训练结束条件，则利用下一个所述第一训练数据继续训练所述第一深度学习模型。
在一些实施方式中，所述程控装置还包括摄像头，所述处理器还被配置成：将所述摄像头获取的视频信息实时发送至预设的平台设备，以使所述平台设备利用所述视频信息识别所述医生的个人信息；接收所述平台设备的视频通信请求，以建立所述平台设备和所述程控装置的视频通信连接。
在一些实施方式中，所述程控装置存储有多个已验证身份信息，所述处理器被配置成采用以下方式对所述程控装置进行认证：利用交互设备接收待验证身份信息；基于所述待验证身份信息，将所述待验证身份信息与预先存储的所述第一标识信息对应的每个已验证身份信息进行匹配；当所述待验证身份信息与其中一个所述已验证身份信息匹配成功时，停止匹配并确定所述程控装置通过认证；当所述待验证身份信息与任一个所述已验证身份信息都匹配不成功时，确定所述程控装置未通过认证。
在一些实施方式中，所述处理器被配置成采用以下方式对所述程控装置进行认证：获取医生与程控权限类型的对应关系，所述程控权限类型包括具备程控权限和不具备程控权限；基于所述第一标识信息和所述对应关系，检测所述程控装置对应的医生是否具备程控权限；当所述医生具备程控权限时，确定所述程控装置通过认证；当所述医生不具备程控权限时，确定所述程控装置未通过认证。
在一些实施方式中，所述处理器被配置成采用以下方式对所述刺激器进行认证：在获取所述程控装置的第一标识信息时同步获取所述刺激器的第二标识信息；基于所述第二标识信息，将所述第二标识信息与预先存储的所述第二标识信息对应的每个标识预设信息进行匹配；当所述第二标识信息与其中一个所述标识预设信息匹配成功时，停止匹配并确定所述刺激器通过认证；当所述第二标识信息与任一个所述标识预设信息都匹配不成功时，确定所述刺激器未通过认证。
在一些实施方式中，所述处理器还被配置成：当所述程控装置或所述刺激器未通过认证时，通过程控装置显示提示信息。
参见图7，图7是本申请实施例提供的一种医疗系统的结构示意图。
本申请还提供了一种医疗系统10，包括：上述任一实施方式中所述的程控装置13；刺激器11，所述刺激器11植入于患者体内，以利用所述刺激器11向所述患者递送电刺激或感测所述患者的电生理活动；患者装置12，所述患者装 置12被配置成生成患者程控请求，以建立所述程控装置13与所述刺激器11之间的程控连接。
由此，通过上述任一实施方式中所述的程控装置，分别对程控装置和刺激器进行认证，可以避免因数据处理不及时给患者带来不好的治疗体验，并具有更高的安全性。
参见图8，图8是本申请实施例提供的一种用于生成患者程控请求的流程示意图。
在一些实施方式中，所述患者程控请求的生成过程可以包括步骤S501-步骤S503。
步骤S501、利用所述患者装置接收健康监测装置获取的所述患者的实时的健康监测数据，所述健康监测数据用于指示所述患者的生理参数。
步骤S502、利用所述患者装置获取所述健康监测数据对应的患者状态类型，所述患者状态类型用于指示患者需要紧急救护或者不需要紧急救护。
步骤S503、当检测到所述健康监测数据所对应的患者状态类型用于指示需要紧急救护时，利用所述患者装置生成所述患者程控请求。
由此，通过健康监测装置实时获取的患者的健康监测数据，得到用于指示患者是否需要紧急救护的患者状态类型，无需人工干预，可以客观地判断患者的程控需求，上述医疗系统的智能化程度高；因为无需患者判断是否需要医生进行程控，患者的体验效果好。
健康监测装置可以包括以下装置：脑电监测装置、心电监测装置、肌电监测装置、心率监测装置、脉搏监测装置和视觉监测装置中的一种或多种。
用于指示患者的生理参数的健康监测数据可以是患者的脑电监测数据、心电监测数据、肌电监测数据、心率监测数据、脉搏监测数据和视觉监测数据中的一种或多种，例如是“心率160次/分钟”、“脉搏频率100次/分钟”、“心率90次/分钟”、“肌电450Hz”等。
在一些实施方式中，所述健康监测装置是刺激器，所述健康监测数据是所述刺激器感测所述患者的电生理活动得到的；所述患者装置被配置成采用以下方式获取所述健康监测数据对应的患者状态类型：利用状态分类模型对所述健康监测数据进行分类，以得到所述健康监测数据对应的患者状态类型；其中，所述状态分类模型的训练过程包括：获取第二训练集，所述第二训练集包括多个第二训练数据，每个所述第二训练数据包括一个样本数据以及所述样本数据对应的患者状态类型的标注数据，每个所述样本数据是对真实人体进行健康监测得到的或者利用生成对抗网络(Generative Adversarial Network，GAN)模型 的生成网络生成的；针对所述第二训练集中的每个第二训练数据，执行以下处理：将所述第二训练数据中的样本数据输入预设的第二深度学习模型，以得到所述样本数据对应的患者状态类型的预测数据；基于所述样本数据对应的患者状态类型的预测数据和标注数据，对所述第二深度学习模型的模型参数进行更新；检测是否满足预设的第二训练结束条件；如果满足预设的第二训练结束条件，则停止训练，并将训练出的所述第二深度学习模型作为所述状态分类模型；如果不满足预设的第二训练结束条件，则利用下一个所述第二训练数据继续训练所述第二深度学习模型。
由此，通过刺激器得到健康监测数据，更能准确和及时的反应病人的健康状态；通过进行训练所得到的状态分类模型进行患者状态类型的获取，可以提高获取的精度；利用训练集对预设的第二深度学习模型进行训练，得到状态分类模型，状态分类模型可以由大量的第二训练数据训练得到，能够针对多种健康监测数据预测得到相应的患者状态类型，适用范围广，智能化水平高。
状态分类模型可以由大量的训练数据训练得到，能够针对不同的输入数据预测得到健康监测数据对应的患者状态类型，适用范围广，智能化水平高。
通过设计，建立适量的神经元计算节点和多层运算层次结构，选择合适的输入层和输出层，就可以得到预设的第二深度学习模型，通过该预设的第二深度学习模型的学习和调优，建立起从输入到输出的函数关系，虽然不能100％找到输入与输出的函数关系，但是可以尽可能地逼近现实的关联关系，由此训练得到的状态分类模型，可以实现获取健康监测数据对应的患者状态类型的功能，且计算结果准确性高、可靠性高。
本实施例对预设的第二深度学习模型的网络结构不做限定，其可以是U型网络、卷积神经网络(Convolutional Neural Network，CNN)等。损失函数例如可以采用L1损失函数或者L2损失函数。
本申请对参数范围模型的训练过程不作限定，其例如可以采用上述监督学习的训练方式，或者可以采用半监督学习的训练方式，或者可以采用无监督学习的训练方式。
本申请对样本数据不进行限制，样本数据例如可以是38℃、心跳178次/分钟、肌电300Hz等在临床过程中对真实人体进行健康监测得到的，其对应的标注数据例如是脉搏过缓、脉搏正常、脉搏过快、肌电异常等，也可以是可以表示上述标注数据的标号，例如A1、A2、X3等。通过上述标注数据，均能获得其相应的样本数据所对应的患者状态类型。
GAN模型由一个生成网络与一个判别网络组成。生成网络从潜在空间 (latent space)中随机采样作为输入，其输出结果需要尽量模仿训练集中的真实样本。判别网络的输入则为真实样本或生成网络的输出，其目的是将生成网络的输出从真实样本中尽可能分辨出来。而生成网络则要尽可能地欺骗判别网络。两个网络相互对抗、不断调整参数，最终目的是使判别网络无法判断生成网络的输出结果是否真实。使用GAN模型可以生成多个运行参数的样本数据，用于故障检测模型的训练过程，能有效降低原始数据采集的数据量，大大降低数据采集和标注的成本。
本申请对预设的第二训练结束条件不作限定，其例如可以是训练次数达到预设次数(预设次数例如是1次、3次、10次、100次、1000次、10000次等)，或者可以是第二训练集中的训练数据都完成一次或多次训练，或者可以是本次训练得到的总损失值不大于预设损失值。
健康监测数据是刺激器感测到的患者的电生理活动所得到的，例如刺激器植入处的脑电信号的电压值、电流值等。
本申请实施例还提供了一种计算机可读存储介质，其实现方式与上述程控装置的实施例中记载的实施方式、所达到的技术效果一致，部分内容不再赘述。
该计算机可读存储介质被配置成存储计算机程序；所述计算机程序被执行时实现本申请实施例中上述方法的步骤。
图9是本申请实施例提供的被配置成实现上述方法的程序产品300，其可以采用便携式紧凑盘只读存储器(Compact Disc-ROM，CD-ROM)并包括程序代码，并可以在终端设备，例如个人电脑上运行。然而，本申请的程序产品300不限于此，在本文件中，可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。程序产品300可以采用一个或多个可读介质的任意组合。可读介质可以是可读信号介质或者可读存储介质。可读存储介质例如可以为电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。可读存储介质的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式盘、硬盘、随机存取存储器(Random Access Memory，RAM)、只读存储器(Read-Only Memory，ROM)、可擦式可编程只读存储器(Erasable Programmable Read Only Memory，EPROM或闪存)、光纤、CD-ROM、光存储器件、磁存储器件、或者上述的任意合适的组合。
计算机可读存储介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了可读程序代码。这种传播的数据信号可以采用多种形式，包括电磁信号、光信号或上述的任意合适的组合。可读存储介质还可以是可读存储介质以外的任何可读介质，该可读介质可以发送、传播或者传输用于由指令执 行系统、装置或者器件使用或者与其结合使用的程序。可读存储介质上包含的程序代码可以用任何适当的介质传输，包括无线、有线、光缆、射频(Radio Frequency，RF)等等，或者上述的任意合适的组合。可以以一种或多种程序设计语言的任意组合来编写用于执行本申请操作的程序代码，程序设计语言包括面向对象的程序设计语言诸如Java、C++等，还包括常规的过程式程序设计语言诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算设备上执行、部分地在用户设备上执行、作为一个独立的软件包执行、部分在用户计算设备上部分在远程计算设备上执行、或者完全在远程计算设备或服务器50上执行。在涉及远程计算设备的情形中，远程计算设备可以通过任意种类的网络，包括局域网(Local Area Network，LAN)或广域网(Local Area Network，WAN)，连接到用户计算设备，或者，可以连接到外部计算设备(例如利用因特网服务提供商来通过因特网连接)。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”、“第四”等(如果存在)是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本申请的实施例例如能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“对应于”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。

Claims (12)

  1. 一种程控装置，所述程控装置(13)设置于医生侧，所述程控装置(13)包括处理器，所述处理器被配置成：
    获取所述程控装置(13)的第一标识信息，并基于所述第一标识信息，对所述程控装置(13)进行认证；
    获取刺激器(11)的第二标识信息，并基于所述第二标识信息，对所述刺激器(11)进行认证；其中，所述刺激器(11)植入于患者体内；
    在所述程控装置(13)和所述刺激器(11)均通过认证的情况下，建立所述程控装置(13)与所述刺激器(11)之间的程控连接，以利用所述刺激器(11)向所述患者递送电刺激或感测所述患者的电生理活动；
    所述处理器被配置成采用以下方式对所述刺激器(11)进行认证：
    在获取所述程控装置(13)的第一标识信息时同步获取所述刺激器(11)的第二标识信息；
    基于所述第二标识信息，将所述第二标识信息与预先存储的所述第二标识信息对应的每个标识预设信息进行匹配；
    在所述第二标识信息与一个标识预设信息匹配成功的情况下，停止匹配并确定所述刺激器(11)通过认证；
    在所述第二标识信息与所有标识预设信息都匹配不成功的情况下，确定所述刺激器(11)未通过认证。
  2. 根据权利要求1所述的程控装置，其中，所述处理器被配置成采用以下方式获取所述程控装置(13)的第一标识信息：
    接收程控连接操作，响应于所述程控连接操作，获取所述第一标识信息；或，
    利用所述程控装置(13)接收患者装置(12)发送的患者程控请求，响应于所述患者程控请求，获取所述程控装置(13)的第一标识信息。
  3. 根据权利要求2所述的程控装置，其中，在所述程控装置(13)和所述刺激器(11)中的至少一个未通过认证的情况下，所述处理器还被配置成：
    接收所述患者装置(12)发送的健康监测数据；
    基于所述健康监测数据，获取所述程控装置(13)被许可的利用所述刺激器(11)向所述患者递送电刺激的参数范围；
    建立所述程控装置(13)与所述刺激器(11)之间的程控连接，并利用所述程控装置(13)获取满足所述参数范围的医生配置信息；
    利用所述刺激器(11)向所述患者递送所述医生配置信息对应的电刺激，以对所述患者进行紧急救护。
  4. 根据权利要求3所述的程控装置，其中，所述处理器被配置成采用以下方式获取所述参数范围：
    将所述健康监测数据输入参数范围模型，以得到所述程控装置(13)被许可的利用所述刺激器(11)向所述患者递送电刺激的参数范围；
    其中，所述参数范围模型的训练过程包括：
    获取训练集，其中，所述训练集包括多个训练数据，每个训练数据包括一个样本患者的健康监测数据以及所述程控装置(13)被许可的利用所述刺激器(11)向所述样本患者递送电刺激的参数范围的标注数据；
    针对所述训练集中的每个训练数据，执行以下处理：
    将所述训练数据中的样本患者的健康监测数据输入预设的深度学习模型，得到所述程控装置(13)被许可的利用所述刺激器(11)向所述样本患者递送电刺激的参数范围的预测数据；
    基于所述程控装置(13)被许可的利用所述刺激器(11)向所述样本患者递送电刺激的参数范围的预测数据和标注数据，对所述深度学习模型的模型参数进行更新；
    检测是否满足预设的训练结束条件；响应于满足所述训练结束条件，将训练出的深度学习模型作为所述参数范围模型；响应于不满足所述训练结束条件，利用下一个训练数据继续训练所述深度学习模型。
  5. 根据权利要求3所述的程控装置，所述程控装置(13)还包括摄像头，所述处理器还被配置成：
    将所述摄像头获取的视频信息实时发送至预设的平台设备，以使所述平台设备利用所述视频信息识别医生的个人信息；
    接收所述平台设备的视频通信请求，以建立所述平台设备和所述程控装置(13)的视频通信连接。
  6. 根据权利要求1所述的程控装置，其中，所述程控装置(13)存储有多个已验证身份信息，所述处理器被配置成采用以下方式对所述程控装置(13)进行认证：
    利用交互设备接收待验证身份信息；
    基于所述待验证身份信息，将所述待验证身份信息与预先存储的所述第一 标识信息对应的每个已验证身份信息进行匹配；
    在所述待验证身份信息与一个已验证身份信息匹配成功的情况下，停止匹配并确定所述程控装置(13)通过认证；
    在所述待验证身份信息与所有已验证身份信息都匹配不成功的情况下，确定所述程控装置(13)未通过认证。
  7. 根据权利要求1所述的程控装置，其中，所述处理器被配置成采用以下方式对所述程控装置(13)进行认证：
    获取医生与程控权限类型的对应关系，其中，所述程控权限类型包括具备程控权限和不具备程控权限；
    基于所述第一标识信息和所述对应关系，检测所述程控装置(13)对应的医生是否具备程控权限；
    在所述医生具备程控权限的情况下，确定所述程控装置(13)通过认证；
    在所述医生不具备程控权限的情况下，确定所述程控装置(13)未通过认证。
  8. 根据权利要求1所述的程控装置，其中，所述处理器还被配置成：
    在所述程控装置(13)或所述刺激器(11)未通过认证的情况下，通过所述程控装置(13)显示提示信息。
  9. 一种医疗系统，包括：
    权利要求1-8任一项所述的程控装置(13)，所述程控装置(13)设置于医生侧；
    刺激器(11)，所述刺激器植入于患者体内，以利用所述刺激器(11)向所述患者递送电刺激或感测所述患者的电生理活动
    患者装置(12)，所述患者装置(12)被配置成生成患者程控请求，以建立所述程控装置(13)与所述刺激器(11)之间的程控连接。
  10. 根据权利要求9所述的医疗系统，其中，所述患者程控请求的生成过程包括：
    利用所述患者装置(12)接收健康监测装置获取的所述患者的实时的健康监测数据，其中，所述健康监测数据用于指示所述患者的生理参数；
    利用所述患者装置(12)获取所述健康监测数据对应的患者状态类型，其中，所述患者状态类型用于指示患者需要紧急救护或者不需要紧急救护；
    在检测到所述健康监测数据所对应的患者状态类型用于指示需要紧急救护的情况下，利用所述患者装置(12)生成所述患者程控请求。
  11. 根据权利要求10所述的医疗系统，其中，所述健康监测装置是所述刺激器(11)，所述健康监测数据是所述刺激器(11)感测所述患者的电生理活动得到的；
    所述患者装置(12)被配置成采用以下方式获取所述健康监测数据对应的患者状态类型：
    利用状态分类模型对所述健康监测数据进行分类，以得到所述健康监测数据对应的患者状态类型；
    其中，所述状态分类模型的训练过程包括：
    获取训练集，其中，所述训练集包括多个训练数据，每个训练数据包括一个样本数据以及所述样本数据对应的患者状态类型的标注数据，每个样本数据是对真实人体进行健康监测得到的或者利用生成对抗网络GAN模型的生成网络生成的；
    针对所述训练集中的每个训练数据，执行以下处理：
    将所述训练数据中的样本数据输入预设的深度学习模型，以得到所述样本数据对应的患者状态类型的预测数据；
    基于所述样本数据对应的患者状态类型的预测数据和标注数据，对所述深度学习模型的模型参数进行更新；
    检测是否满足预设的训练结束条件；响应于满足所述训练结束条件，停止训练，并将训练出的所述深度学习模型作为所述状态分类模型；响应于不满足所述训练结束条件，利用下一个训练数据继续训练所述深度学习模型。
  12. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现所述权利要求1-8任一项的程控装置的功能。
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